Merge pull request #253 from Tencent-Hunyuan/feat/memhub-mode-evolve

feat(memhub): memory mode (lite/pro/ultra), evolve and nightly schedule (B, stacked on #252)

memhub/MEMORY.md

@@ -13,8 +13,8 @@
    接口先补 SDK。Runtime writers 停止后的 App 启动迁移可直接操作底层存储，
    但不得把迁移专用方法加入公共 Client。
 3. MemHub **不存 memory 实体**；**可以存 `memory_id`** 做组织/回执。原文进入 **SDK raw**。
-4. SDK raw 只保留滚动三天；一条 raw 对应一个完整 turn，只含真人 user 与
-   assistant，tool 不持久化。提取后的高层 memory 不受该窗口影响。
+4. SDK raw 全部保留，任何模式（lite / pro / ultra）都不删除；一条 raw 对应一个
+   完整 turn，只含真人 user 与 assistant，tool 不持久化。
 5. `source_raw_ids` 是 SDK 内部溯源关系，不是产品 Evidence 合同；记忆详情不提供
    “原始依据”或按 raw ID 展开原文的入口。
 

memhub/apps/cli/src/cli-contract-fixes.test.ts

@@ -315,6 +315,8 @@ describe("catalog exit codes", () => {
       "models",
       "memories",
       "profile",
+      "settings",
+      "evolve",
       "graph-width",
       "host",
       "recall",

memhub/apps/cli/src/cli.ts

@@ -188,6 +188,18 @@ import {
   removeManagedCliLink,
   rollbackManagedCliLink,
 } from "./managed-cli-link.js";
+import {
+  type EvolveDocument,
+  evolveExitCode,
+  type ModeDocument,
+  modeExitCode,
+  parseEvolveCommand,
+  parseSettingsCommand,
+  renderEvolveText,
+  renderModeText,
+  runEvolveCommand,
+  runModeCommand,
+} from "./memory-mode-flow.js";
 import {
   addMemory,
   DEFAULT_USER_ID,
@@ -325,6 +337,8 @@ export interface RunControls {
   watchSignal?: AbortSignal;
   watchWait?: (milliseconds: number, signal: AbortSignal) => Promise<void>;
   watchNow?: () => string;
+  /** `memhub evolve --wait` polls on this; tests inject an instant one. */
+  sleep?: (milliseconds: number) => Promise<void>;
   readStdin?: () => Promise<Buffer | null>;
   stdinIsTTY?: boolean;
   /** Injectable onboarding prompter so the wizard can be driven in tests
@@ -2228,6 +2242,55 @@ async function runCommand(
     );
     return outcome.state === "committed" ? EXIT_OK : EXIT_FAILED;
   }
+  if (named === "settings") {
+    const parsed = parseSettingsCommand(arguments_.slice(1));
+    if (!parsed) return usage();
+    const connected = await connectRuntime(environment);
+    if (!connected.ok) {
+      const document: ModeDocument = {
+        schema_version: 1,
+        product: PRODUCT,
+        command: "settings mode",
+        state: "unavailable",
+        code: connected.code,
+      };
+      emit(asJson ? `${JSON.stringify(document)}\n` : renderModeText(document));
+      return connected.exitCode;
+    }
+    const document = await runModeCommand(
+      parsed,
+      connected.reader,
+      connected.operations,
+    );
+    emit(asJson ? `${JSON.stringify(document)}\n` : renderModeText(document));
+    return modeExitCode(document);
+  }
+  if (named === "evolve") {
+    const parsed = parseEvolveCommand(arguments_.slice(1));
+    if (!parsed) return usage();
+    const connected = await connectRuntime(environment);
+    if (!connected.ok) {
+      const document: EvolveDocument = {
+        schema_version: 1,
+        product: PRODUCT,
+        command: "evolve",
+        state: "unavailable",
+        code: connected.code,
+      };
+      emit(
+        asJson ? `${JSON.stringify(document)}\n` : renderEvolveText(document),
+      );
+      return connected.exitCode;
+    }
+    const document = await runEvolveCommand(parsed, {
+      userId: userIdParameters(userId).user_id,
+      reader: connected.reader,
+      operations: connected.operations,
+      sleep: controls.sleep,
+    });
+    emit(asJson ? `${JSON.stringify(document)}\n` : renderEvolveText(document));
+    return evolveExitCode(document);
+  }
   if (named === "graph-width") {
     const parsed = parseGraphWidthCommand(arguments_.slice(1));
     if (!parsed) return usage();
@@ -6814,7 +6877,13 @@ const OWN_DATA_DIR_COMMANDS = new Set([
 /** Remove one `--data-dir <absolute path>` from argv; null when it is
  * repeated, missing its value, or not an absolute path. */
 /** Memory commands that honour the global `--user-id`. */
-const USER_ID_COMMANDS = new Set(["memories", "recall", "profile", "write"]);
+const USER_ID_COMMANDS = new Set([
+  "memories",
+  "recall",
+  "profile",
+  "write",
+  "evolve",
+]);
 
 /**
  * Take `--user-id <id>` out of the arguments. The default user (`local`) is

memhub/apps/cli/src/command-catalog.ts

@@ -448,6 +448,43 @@ export const COMMANDS: readonly CommandDescriptor[] = [
     ],
     exit_codes: RUNTIME_EXITS,
   },
+  {
+    name: "settings",
+    summary:
+      "查看或切换记忆模式（lite / pro / ultra）。lite 不调用模型，只在原始对话里检索；pro 由模型提取记忆（System 1）；ultra 在 pro 之上每晚自动进化（System 2，使用知识图谱）。任何模式都保留全部原始对话。切换不迁移数据：已处理的不会重做，排队中的和新的按新模式处理；需 --yes，不加时只显示计划。环境变量 ONE_MEMORY_GRAPH_STORE 会强制 ultra。",
+    usage: "memhub settings mode [lite|pro|ultra] [--yes] [--json]",
+    options: [
+      {
+        flag: "mode [lite|pro|ultra]",
+        summary: "不带模式只显示当前模式；带模式时先显示切换计划。",
+      },
+      CONFIRM_OPTION,
+      JSON_OPTION,
+    ],
+    exit_codes: RUNTIME_EXITS,
+  },
+  {
+    name: "evolve",
+    summary:
+      "立即为一个用户运行记忆进化（System 2，仅 ultra 模式）。在后台运行并返回运行 ID；--wait 等待结果。同一用户同时只运行一次；每晚的自动进化由 Runtime 按设置安排。",
+    usage:
+      "memhub evolve [--user-id <id>] [--agent-id <id>] [--max-batches <n>] [--wait] [--json]",
+    options: [
+      USER_ID_OPTION,
+      {
+        flag: "--agent-id <id>",
+        summary:
+          "进化哪个 agent 的记忆，默认 all-apps（MemHub 写入记忆用的 agent）。",
+      },
+      {
+        flag: "--max-batches <n>",
+        summary: "每轮最多处理的批次数（1–1000），默认由 SDK 决定。",
+      },
+      { flag: "--wait", summary: "等待这次进化结束再返回。" },
+      JSON_OPTION,
+    ],
+    exit_codes: RUNTIME_EXITS,
+  },
   {
     name: "graph-width",
     summary:

memhub/apps/cli/src/command-contract.test.ts

@@ -76,6 +76,8 @@ const COMMANDS = [
   "models",
   "memories",
   "profile",
+  "settings",
+  "evolve",
   "graph-width",
   "host",
   "recall",

memhub/apps/cli/src/core-client.ts

@@ -18,7 +18,12 @@ const READ_ONLY_PATHS = [
   "/api/v2/memory-library",
   "/api/v2/user-profile",
   "/api/v2/user-profile/versions",
+  "/api/v1/settings/memory-mode",
+  "/api/v2/evolve",
 ] as const;
+/** One evolve run's receipt (`memhub evolve --wait`). */
+const EVOLVE_RUN =
+  /^\/api\/v2\/evolve\/[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/;
 const SDK_MEMORY_DETAIL = /^\/api\/v2\/memories\/[A-Za-z0-9][\w.-]{0,127}$/;
 /** Status of one `POST /api/v2/memories` addition, by its request id. */
 const MEMORY_ADDITION =
@@ -221,6 +226,7 @@ export function isReadOnlyPath(path: string): boolean {
   if (IMPORT_JOB.test(path)) return true;
   if (OPERATION_RECEIPT.test(path)) return true;
   if (MEMORY_ADDITION.test(path)) return true;
+  if (EVOLVE_RUN.test(path)) return true;
   if (!SDK_MEMORY_DETAIL.test(path)) return false;
   const segment = path.slice("/api/v2/memories/".length);
   return !(RESERVED_MEMORY_SEGMENTS as readonly string[]).includes(segment);

memhub/apps/cli/src/core-operations.ts

@@ -26,6 +26,9 @@ const SOURCE_IMPORT_JOB_PATH = "/api/v1/import-jobs";
 const IMPORT_JOB_ACTION_PATH =
   /^\/api\/v1\/import-jobs\/[A-Za-z0-9][\w.-]{0,127}\/(?:pause|resume|cancel)$/;
 const GRAPH_WIDTH_PATH = "/api/v1/graph-width";
+/** `memhub evolve` starts a run; `memhub settings mode <m> --yes` sets the mode. */
+const EVOLVE_PATH = "/api/v2/evolve";
+const MEMORY_MODE_PATH = "/api/v1/settings/memory-mode";
 const ONBOARDING_COMPLETE_PATH = "/api/v1/onboarding/complete";
 const MAX_BYTES = 4 * 1024 * 1024;
 
@@ -97,6 +100,7 @@ export function createCoreOperations(attachment: {
         !SOURCE_AUTHORIZE_PATH.test(path) &&
         !SOURCE_REVOKE_PATH.test(path) &&
         path !== GRAPH_WIDTH_PATH &&
+        path !== EVOLVE_PATH &&
         path !== ONBOARDING_COMPLETE_PATH &&
         !MODEL_PROFILE_ACTIVATE.test(path)
       ) {
@@ -132,7 +136,10 @@ export function createCoreOperations(attachment: {
       body: Record<string, unknown>,
       signal?: AbortSignal,
     ) {
-      if (!SDK_MEMORY_PATH.test(path) || path.includes("?")) {
+      if (
+        path !== MEMORY_MODE_PATH &&
+        (!SDK_MEMORY_PATH.test(path) || path.includes("?"))
+      ) {
         throw new Error("core_operation_path_not_allowed");
       }
       let response: { status: number; data: unknown };

memhub/apps/cli/src/memory-mode-cli.test.ts

@@ -0,0 +1,309 @@
+import { beforeEach, describe, expect, it, vi } from "vitest";
+
+import { run } from "./cli.js";
+import { modeEffects, parseSettingsCommand } from "./memory-mode-flow.js";
+import { composeStatusReport, renderStatusText } from "./status-report.js";
+
+const transport = vi.hoisted(() => ({
+  get: vi.fn(),
+  post: vi.fn(),
+  put: vi.fn(),
+  patch: vi.fn(),
+  delete: vi.fn(),
+}));
+vi.mock("axios", () => ({
+  default: {
+    create: vi.fn(() => transport),
+    get: vi.fn(),
+    post: vi.fn(),
+    isAxiosError: () => false,
+  },
+}));
+
+const runtime = vi.hoisted(() => ({
+  inspectRuntimeStatus: vi.fn(),
+  discoverRuntimeAttachment: vi.fn(),
+}));
+vi.mock("@one-memory/runtime-control", async (importOriginal) => ({
+  ...(await importOriginal<typeof import("@one-memory/runtime-control")>()),
+  ...runtime,
+}));
+
+const RUN_ID = "11111111-2222-4333-8444-555555555555";
+
+function modeState(mode: string, configured = mode) {
+  return {
+    mode,
+    configured_mode: configured,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: { state: "idle", users: {} },
+  };
+}
+
+function receipt(state: string, extra: Record<string, unknown> = {}) {
+  return {
+    run_id: RUN_ID,
+    user_id: "wife",
+    agent_id: "all-apps",
+    state,
+    trigger: "manual",
+    started_at: "2026-11-01T03:00:00Z",
+    rounds: state === "running" ? 0 : 2,
+    tasks_processed: state === "running" ? 0 : 5,
+    batch_failures: 0,
+    capped: false,
+    elapsed_ms: 10,
+    results: { schemas: ["never printed"] },
+    ...extra,
+  };
+}
+
+beforeEach(() => {
+  vi.clearAllMocks();
+  for (const method of Object.values(transport)) method.mockReset();
+  runtime.inspectRuntimeStatus.mockResolvedValue({
+    state: "running",
+    code: "runtime_verified",
+    instanceId: "instance-1",
+    host: "127.0.0.1",
+    port: 8765,
+    version: "1.2.3",
+  });
+  runtime.discoverRuntimeAttachment.mockResolvedValue({
+    instanceId: "instance-1",
+    apiToken: "synthetic-runtime-token",
+    host: "127.0.0.1",
+    port: 8765,
+    servicePid: 4242,
+    health: {
+      status: "ok",
+      service: "one-memory-core",
+      version: "1.2.3",
+      instance_id: "instance-1",
+    },
+  });
+  transport.get.mockImplementation(async (url: string) =>
+    url === "/api/v1/settings/memory-mode"
+      ? { status: 200, data: modeState("pro") }
+      : { status: 404, data: {} },
+  );
+});
+
+describe("memhub settings mode", () => {
+  it("shows the current mode without changing it", async () => {
+    const result = await capturedRun(["settings", "mode", "--json"]);
+    expect(result.code).toBe(0);
+    expect(JSON.parse(result.stdout).mode.mode).toBe("pro");
+    expect(transport.put).not.toHaveBeenCalled();
+  });
+
+  it("prints the plan and changes nothing without --yes", async () => {
+    const result = await capturedRun(["settings", "mode", "lite"]);
+    expect(result.code).toBe(0);
+    expect(transport.put).not.toHaveBeenCalled();
+    expect(result.stdout).toContain("更高模式生成的记忆仍保存着");
+    expect(result.stdout).toContain("memhub settings mode lite --yes");
+    const json = JSON.parse(
+      (await capturedRun(["settings", "mode", "ultra", "--json"])).stdout,
+    );
+    expect(json.state).toBe("preview");
+    expect(json.applied).toBe(false);
+    expect(json.effects).toEqual(["existing_memories_added_to_graph"]);
+  });
+
+  it("changes the mode with --yes and reports what changed", async () => {
+    transport.put.mockResolvedValue({
+      status: 200,
+      data: {
+        ...modeState("lite"),
+        previous_mode: "pro",
+        effects: ["higher_mode_memories_hidden"],
+      },
+    });
+    const result = await capturedRun(["settings", "mode", "lite", "--yes"]);
+    expect(result.code).toBe(0);
+    expect(transport.put).toHaveBeenCalledWith(
+      "/api/v1/settings/memory-mode",
+      { mode: "lite" },
+      undefined,
+    );
+    expect(result.stdout).toContain("已切换");
+    expect(result.stdout).toContain("原始对话：全部保留");
+  });
+
+  it("does nothing for the mode already set, and refuses bad input", async () => {
+    const same = await capturedRun(["settings", "mode", "pro", "--yes"]);
+    expect(same.code).toBe(0);
+    expect(same.stdout).toContain("已经是这个模式");
+    expect(transport.put).not.toHaveBeenCalled();
+    for (const bad of [
+      ["settings"],
+      ["settings", "mode", "max"],
+      ["settings", "mode", "--yes"],
+      ["settings", "mode", "lite", "pro"],
+      ["settings", "language", "en"],
+    ]) {
+      expect((await capturedRun(bad)).code, bad.join(" ")).toBe(2);
+    }
+  });
+
+  it("plans the same effects Core reports", () => {
+    expect(modeEffects("lite", "pro")).toEqual([
+      "earlier_raw_not_extracted",
+      "lite_search_stops",
+    ]);
+    expect(modeEffects("ultra", "lite")).toEqual([
+      "higher_mode_memories_hidden",
+      "evolve_stopped",
+    ]);
+    expect(modeEffects("pro", "pro")).toEqual([]);
+    expect(parseSettingsCommand(["mode", "ultra", "--yes"])).toEqual({
+      kind: "set",
+      mode: "ultra",
+      confirmed: true,
+    });
+  });
+});
+
+describe("memhub evolve", () => {
+  it("starts a run for the named user and returns at once", async () => {
+    transport.post.mockResolvedValue({ status: 202, data: receipt("running") });
+    const result = await capturedRun([
+      "evolve",
+      "--user-id",
+      "wife",
+      "--agent-id",
+      "all-apps",
+      "--max-batches",
+      "3",
+      "--json",
+    ]);
+    expect(result.code).toBe(0);
+    expect(transport.post).toHaveBeenCalledWith(
+      "/api/v2/evolve",
+      { user_id: "wife", agent_id: "all-apps", max_batches: 3 },
+      undefined,
+    );
+    const document = JSON.parse(result.stdout);
+    expect(document.state).toBe("running");
+    expect(document.run.results).toBeUndefined();
+  });
+
+  it("follows the run with --wait until it ends", async () => {
+    transport.post.mockResolvedValue({ status: 202, data: receipt("running") });
+    const reads = [receipt("running"), receipt("succeeded")];
+    transport.get.mockImplementation(async (url: string) =>
+      url === `/api/v2/evolve/${RUN_ID}`
+        ? { status: 200, data: reads.shift() }
+        : { status: 404, data: {} },
+    );
+    const result = await capturedRun(["evolve", "--wait"], {
+      sleep: async () => undefined,
+    });
+    expect(result.code).toBe(0);
+    expect(transport.post).toHaveBeenCalledWith(
+      "/api/v2/evolve",
+      {},
+      undefined,
+    );
+    expect(result.stdout).toContain("进化完成");
+    expect(result.stdout).toContain("2 轮");
+  });
+
+  it("names the mode when Core refuses outside ultra", async () => {
+    transport.post.mockResolvedValue({
+      status: 409,
+      data: { detail: "memory_mode_not_ultra" },
+    });
+    const result = await capturedRun(["evolve"]);
+    expect(result.code).toBe(1);
+    expect(result.stdout).toContain("memhub settings mode ultra --yes");
+    expect((await capturedRun(["evolve", "--max-batches", "0"])).code).toBe(2);
+    expect((await capturedRun(["evolve", "--now"])).code).toBe(2);
+  });
+});
+
+describe("status pipeline", () => {
+  it("reports pipeline.mode and the last evolve from memory-processing", async () => {
+    const processing = {
+      pending: 0,
+      fresh_pending: 0,
+      backlog_pending: 0,
+      outside_window_pending: 0,
+      running: 0,
+      waiting_for_model: 0,
+      completed: 3,
+      failed: 0,
+      blocked_stages: [],
+      pipeline: {
+        mode: "ultra",
+        configured_mode: "ultra",
+        forced_by_env: false,
+        last_evolve_at: "2026-11-01T03:00:05+08:00",
+        graph_build: { state: "succeeded", users: {} },
+        evolve: {
+          mode: "ultra",
+          schedule: { enabled: true, time: "03:00" },
+          running: [],
+          users: {
+            local: {
+              last_run_at: "2026-11-01T03:00:05+08:00",
+              last_result: { state: "succeeded", tasks_processed: 4 },
+              last_error: null,
+            },
+          },
+        },
+      },
+    };
+    const report = await composeStatusReport({
+      dataDir: "/tmp/isolated",
+      runtime: { state: "running", code: "ok", host: "127.0.0.1", port: 1 },
+      background: null,
+      reader: (async (path: string) =>
+        path === "/api/v1/memory-processing"
+          ? { state: "ok", data: processing }
+          : { state: "unavailable", code: "x" }) as never,
+    });
+    expect(report.pipeline?.mode).toBe("ultra");
+    expect(report.pipeline?.last_evolve_at).toBe("2026-11-01T03:00:05+08:00");
+    expect(report.pipeline?.evolve_users.local?.state).toBe("succeeded");
+    const text = renderStatusText(report, "MemHub");
+    expect(text).toContain("记忆模式：ultra");
+    expect(text).toContain("每日 03:00 自动进化");
+  });
+});
+
+async function capturedRun(
+  arguments_: string[],
+  controls: Parameters<typeof run>[2] = {},
+) {
+  let stdout = "";
+  let stderr = "";
+  const stdoutSpy = vi
+    .spyOn(process.stdout, "write")
+    .mockImplementation((chunk) => {
+      stdout += String(chunk);
+      return true;
+    });
+  const stderrSpy = vi
+    .spyOn(process.stderr, "write")
+    .mockImplementation((chunk) => {
+      stderr += String(chunk);
+      return true;
+    });
+  try {
+    return {
+      code: await run(
+        arguments_,
+        { ONE_MEMORY_DATA_DIR: "/synthetic/data" },
+        controls,
+      ),
+      stdout,
+      stderr,
+    };
+  } finally {
+    stdoutSpy.mockRestore();
+    stderrSpy.mockRestore();
+  }
+}

memhub/apps/cli/src/memory-mode-flow.ts

@@ -0,0 +1,372 @@
+/**
+ * `memhub settings mode` and `memhub evolve`.
+ *
+ * The mode (lite / pro / ultra) decides what the SDK does with every
+ * conversation, and switching it migrates nothing: what one mode made is not
+ * shown by a lower one, and raw kept by lite is not extracted until it is
+ * imported again. So a change prints its plan first and needs `--yes`, like
+ * every other command whose effect a person cannot simply take back.
+ *
+ * `memhub evolve` starts System 2 (ultra only) and, with `--wait`, follows
+ * the run until it ends.
+ */
+
+import type { CoreReader } from "./core-client.js";
+import type { CoreOperations, CorePutOperations } from "./core-operations.js";
+import { PRODUCT } from "./version.js";
+
+export const MEMORY_MODES = ["lite", "pro", "ultra"] as const;
+export type MemoryMode = (typeof MEMORY_MODES)[number];
+
+export type ModeEffect =
+  | "earlier_raw_not_extracted"
+  | "higher_mode_memories_hidden"
+  | "existing_memories_added_to_graph"
+  | "evolve_stopped"
+  | "lite_search_stops"
+  | "graph_backfill_already_running";
+
+const MODE_SUMMARY: Record<MemoryMode, string> = {
+  lite: "lite：不调用模型，保留全部原始对话，只在原始对话里检索",
+  pro: "pro：模型从对话中提取记忆（System 1）",
+  ultra: "ultra：pro + 每晚自动进化（System 2，使用知识图谱）",
+};
+
+const EFFECT_TEXT: Record<ModeEffect, string> = {
+  earlier_raw_not_extracted:
+    "lite 下已处理完的对话不会再被提取；只有尚未处理的和之后的新对话会由模型整理成记忆，检索立即改为记忆检索",
+  higher_mode_memories_hidden:
+    "更高模式生成的记忆仍保存着，但在这个模式下不会显示",
+  existing_memories_added_to_graph:
+    "已有记忆会在后台加入知识图谱（每个用户一次）",
+  evolve_stopped: "每晚的自动进化（System 2）停止",
+  lite_search_stops: "lite 只在原始对话里的检索立即停止，改为检索记忆",
+  graph_backfill_already_running: "知识图谱的补建已在进行中",
+};
+
+/** The same rule Core applies (`memory_mode_effects`), for the plan. */
+export function modeEffects(
+  previous: MemoryMode,
+  next: MemoryMode,
+): ModeEffect[] {
+  if (previous === next) return [];
+  const rank: Record<MemoryMode, number> = { lite: 0, pro: 1, ultra: 2 };
+  const effects: ModeEffect[] = [];
+  if (previous === "lite") {
+    effects.push("earlier_raw_not_extracted", "lite_search_stops");
+  }
+  if (rank[next] < rank[previous]) effects.push("higher_mode_memories_hidden");
+  if (previous === "ultra") effects.push("evolve_stopped");
+  if (next === "ultra") effects.push("existing_memories_added_to_graph");
+  return effects;
+}
+
+export type ModeCommand =
+  | { kind: "show" }
+  | { kind: "set"; mode: MemoryMode; confirmed: boolean };
+
+/** `settings mode [lite|pro|ultra] [--yes]` after `settings`; null = usage. */
+export function parseSettingsCommand(
+  values: readonly string[],
+): ModeCommand | null {
+  const rest = values.filter((value) => value !== "--json");
+  if (rest[0] !== "mode") return null;
+  const tail = rest.slice(1);
+  const confirmed = tail.includes("--yes");
+  const positional = tail.filter((value) => value !== "--yes");
+  if (tail.filter((value) => value === "--yes").length > 1) return null;
+  if (positional.length === 0) return confirmed ? null : { kind: "show" };
+  if (positional.length !== 1) return null;
+  const mode = positional[0] as MemoryMode;
+  if (!(MEMORY_MODES as readonly string[]).includes(mode)) return null;
+  return { kind: "set", mode, confirmed };
+}
+
+export interface ModeState {
+  mode: MemoryMode;
+  configured_mode: MemoryMode;
+  forced_by_env: boolean;
+  graph_build?: { state?: string } | null;
+  previous_mode?: MemoryMode;
+  effects?: ModeEffect[];
+}
+
+function modeState(value: unknown): ModeState | null {
+  if (!value || typeof value !== "object") return null;
+  const item = value as Record<string, unknown>;
+  if (
+    !(MEMORY_MODES as readonly unknown[]).includes(item.mode) ||
+    !(MEMORY_MODES as readonly unknown[]).includes(item.configured_mode) ||
+    typeof item.forced_by_env !== "boolean"
+  ) {
+    return null;
+  }
+  return item as unknown as ModeState;
+}
+
+export type ModeDocument = {
+  schema_version: 1;
+  product: string;
+  command: "settings mode";
+} & (
+  | { state: "ok"; mode: ModeState }
+  | {
+      state: "preview";
+      mode: ModeState;
+      target: MemoryMode;
+      effects: ModeEffect[];
+      applied: false;
+      next_step: string;
+    }
+  | { state: "unchanged"; mode: ModeState }
+  | { state: "committed"; mode: ModeState; effects: ModeEffect[] }
+  | { state: "rejected" | "unknown" | "unavailable"; code: string }
+);
+
+const BASE = {
+  schema_version: 1 as const,
+  product: PRODUCT,
+  command: "settings mode" as const,
+};
+
+export async function runModeCommand(
+  command: ModeCommand,
+  reader: CoreReader,
+  operations: CorePutOperations,
+): Promise<ModeDocument> {
+  const read = await reader<unknown>("/api/v1/settings/memory-mode");
+  if (read.state !== "ok") {
+    return { ...BASE, state: "unavailable", code: read.code };
+  }
+  const current = modeState(read.data);
+  if (current === null) {
+    return { ...BASE, state: "unavailable", code: "response_invalid" };
+  }
+  if (command.kind === "show") return { ...BASE, state: "ok", mode: current };
+  if (current.configured_mode === command.mode) {
+    return { ...BASE, state: "unchanged", mode: current };
+  }
+  if (!command.confirmed) {
+    return {
+      ...BASE,
+      state: "preview",
+      mode: current,
+      target: command.mode,
+      effects: modeEffects(current.mode, command.mode),
+      applied: false,
+      next_step: `${PRODUCT} settings mode ${command.mode} --yes`,
+    };
+  }
+  const result = await operations.put<unknown>("/api/v1/settings/memory-mode", {
+    mode: command.mode,
+  });
+  if (result.state !== "committed") {
+    return { ...BASE, state: result.state, code: result.code };
+  }
+  const changed = modeState(result.data);
+  if (changed === null) {
+    return { ...BASE, state: "unknown", code: "response_invalid" };
+  }
+  return {
+    ...BASE,
+    state: "committed",
+    mode: changed,
+    effects: changed.effects ?? [],
+  };
+}
+
+export function modeExitCode(document: ModeDocument): number {
+  return ["ok", "preview", "unchanged", "committed"].includes(document.state)
+    ? 0
+    : 1;
+}
+
+export function renderModeText(document: ModeDocument): string {
+  if ("code" in document) {
+    return `记忆模式未能${document.state === "unavailable" ? "读取" : "修改"}：${document.code}\n`;
+  }
+  const mode = document.mode;
+  const lines = [`当前模式：${MODE_SUMMARY[mode.mode]}`];
+  if (mode.forced_by_env) {
+    lines.push(
+      `设置里是 ${mode.configured_mode}；环境变量 ONE_MEMORY_GRAPH_STORE 强制使用 ultra。`,
+    );
+  }
+  lines.push("原始对话：全部保留（任何模式都不删除）");
+  if (document.state === "unchanged") {
+    lines.push("已经是这个模式，未做改动。");
+  }
+  if (document.state === "preview") {
+    lines.push(`将切换到：${MODE_SUMMARY[document.target]}`);
+    for (const effect of document.effects)
+      lines.push(`- ${EFFECT_TEXT[effect]}`);
+    lines.push(`未执行任何改动。确认后运行：${document.next_step}`);
+  }
+  if (document.state === "committed") {
+    lines.push("已切换。");
+    for (const effect of document.effects)
+      lines.push(`- ${EFFECT_TEXT[effect]}`);
+  }
+  return `${lines.join("\n")}\n`;
+}
+
+export type EvolveCommand = {
+  agentId?: string;
+  maxBatches?: number;
+  wait: boolean;
+};
+
+/** `evolve [--agent-id <id>] [--max-batches <n>] [--wait]`; null = usage. */
+export function parseEvolveCommand(
+  values: readonly string[],
+): EvolveCommand | null {
+  const parsed: EvolveCommand = { wait: false };
+  const rest = values.filter((value) => value !== "--json");
+  for (let index = 0; index < rest.length; index += 1) {
+    const flag = rest[index];
+    if (flag === "--wait" && !parsed.wait) {
+      parsed.wait = true;
+    } else if (flag === "--agent-id" && parsed.agentId === undefined) {
+      const value = rest[index + 1];
+      if (!value || !/^[A-Za-z0-9._:-]{1,128}$/.test(value)) return null;
+      parsed.agentId = value;
+      index += 1;
+    } else if (flag === "--max-batches" && parsed.maxBatches === undefined) {
+      const value = Number(rest[index + 1]);
+      if (!Number.isInteger(value) || value < 1 || value > 1000) return null;
+      parsed.maxBatches = value;
+      index += 1;
+    } else {
+      return null;
+    }
+  }
+  return parsed;
+}
+
+export type EvolveDocument = {
+  schema_version: 1;
+  product: string;
+  command: "evolve";
+} & (
+  | { state: "running" | "succeeded" | "failed"; run: Record<string, unknown> }
+  | { state: "rejected" | "unknown" | "unavailable"; code: string }
+);
+
+const RUN_ID = /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/;
+
+function evolveRun(value: unknown): Record<string, unknown> | null {
+  if (!value || typeof value !== "object") return null;
+  const run = value as Record<string, unknown>;
+  if (
+    typeof run.run_id !== "string" ||
+    !RUN_ID.test(run.run_id) ||
+    !["running", "succeeded", "failed"].includes(String(run.state))
+  ) {
+    return null;
+  }
+  return run;
+}
+
+export async function runEvolveCommand(
+  command: EvolveCommand,
+  options: {
+    userId?: string;
+    reader: CoreReader;
+    operations: CoreOperations;
+    sleep?: (ms: number) => Promise<void>;
+    pollMs?: number;
+  },
+): Promise<EvolveDocument> {
+  const base = {
+    schema_version: 1 as const,
+    product: PRODUCT,
+    command: "evolve" as const,
+  };
+  const body: Record<string, unknown> = {};
+  if (options.userId !== undefined) body.user_id = options.userId;
+  if (command.agentId !== undefined) body.agent_id = command.agentId;
+  if (command.maxBatches !== undefined) body.max_batches = command.maxBatches;
+  const started = await options.operations.post<unknown>(
+    "/api/v2/evolve",
+    body,
+  );
+  if (started.state !== "committed") {
+    return { ...base, state: started.state, code: started.code };
+  }
+  let run = evolveRun(started.data);
+  if (run === null)
+    return { ...base, state: "unknown", code: "response_invalid" };
+  const sleep =
+    options.sleep ??
+    ((ms: number) => new Promise((done) => setTimeout(done, ms)));
+  while (command.wait && run.state === "running") {
+    await sleep(options.pollMs ?? 2_000);
+    const read = await options.reader<unknown>(
+      `/api/v2/evolve/${run.run_id}`,
+      options.userId === undefined ? {} : { user_id: options.userId },
+    );
+    if (read.state !== "ok") {
+      return { ...base, state: "unavailable", code: read.code };
+    }
+    const next = evolveRun(read.data);
+    if (next === null)
+      return { ...base, state: "unknown", code: "response_invalid" };
+    run = next;
+  }
+  return {
+    ...base,
+    state: run.state as "running" | "succeeded" | "failed",
+    run: projectRun(run),
+  };
+}
+
+/** Counts and codes; SDK result bodies stay in the Core receipt. */
+function projectRun(run: Record<string, unknown>): Record<string, unknown> {
+  const keep = [
+    "run_id",
+    "user_id",
+    "agent_id",
+    "state",
+    "trigger",
+    "started_at",
+    "finished_at",
+    "rounds",
+    "tasks_processed",
+    "batch_failures",
+    "cycle_status",
+    "should_continue",
+    "continuation_reason",
+    "remaining_clusters",
+    "remaining_actionable_clusters",
+    "remaining_fresh_facts",
+    "capped",
+    "elapsed_ms",
+    "error_code",
+    "failure_kind",
+  ];
+  return Object.fromEntries(
+    keep.filter((key) => key in run).map((key) => [key, run[key]]),
+  );
+}
+
+export function evolveExitCode(document: EvolveDocument): number {
+  return document.state === "running" || document.state === "succeeded" ? 0 : 1;
+}
+
+export function renderEvolveText(document: EvolveDocument): string {
+  if ("code" in document) {
+    return document.code === "memory_mode_not_ultra"
+      ? "进化只在 ultra 模式下可用。切换：memhub settings mode ultra --yes\n"
+      : `进化未能开始：${document.code}\n`;
+  }
+  const run = document.run;
+  if (document.state === "running") {
+    return `进化已开始（${run.run_id}），在后台运行；加 --wait 等待结果。\n`;
+  }
+  if (document.state === "failed") {
+    return `进化失败（${run.run_id}）：${String(run.error_code ?? "unknown")}\n`;
+  }
+  return `进化完成（${run.run_id}）：${run.rounds} 轮，处理 ${run.tasks_processed} 项${
+    run.cycle_status ? `，周期 ${run.cycle_status}` : ""
+  }${run.capped ? "，已到轮数上限，可再次运行继续" : ""}\n`;
+}

memhub/apps/cli/src/source-progress-report.ts

@@ -14,6 +14,11 @@ import {
   validateProcessing,
   validateSources,
 } from "./core-responses.js";
+import {
+  describePipeline,
+  type PipelineSummary,
+  pipelineLine,
+} from "./status-report.js";
 import { PRODUCT } from "./version.js";
 
 type ReadState =
@@ -84,6 +89,8 @@ export interface ProgressDocument {
     summary_state: ReadState;
     summary: Record<string, unknown> | null;
   };
+  /** The SDK mode and last evolve per user; absent on an older Core. */
+  pipeline?: PipelineSummary | null;
 }
 
 export async function readSources(
@@ -283,6 +290,10 @@ export async function readProgress(
       summary:
         processing.state === "ok" ? projectProcessing(processing.data) : null,
     },
+    pipeline:
+      processingRead.state === "ok"
+        ? describePipeline(processingRead.data)
+        : null,
   };
 }
 
@@ -353,6 +364,18 @@ export function renderProgressText(document: ProgressDocument): string {
       ? `记忆整理：待处理 ${document.generation.summary.pending} · 进行中 ${document.generation.summary.running} · 等待模型 ${document.generation.summary.waiting_for_model} · 失败 ${document.generation.summary.failed}`
       : "记忆整理：暂时无法读取",
   );
+  if (document.pipeline) {
+    lines.push(`记忆模式：${pipelineLine(document.pipeline)}`);
+    for (const [userId, user] of Object.entries(
+      document.pipeline.evolve_users,
+    )) {
+      lines.push(
+        `  进化 ${userId}：${user.last_run_at ?? "尚未进化"}${
+          user.last_error ? `（失败：${user.last_error}）` : ""
+        }`,
+      );
+    }
+  }
   if (document.imports.output_truncated) {
     lines.push("这里只显示汇总；完整记录请使用 --json。");
   }

memhub/apps/cli/src/status-report.ts

@@ -57,6 +57,9 @@ export interface StatusDocument {
     broker?: BackgroundHealth["broker"];
   };
   sections: Record<string, Section>;
+  /** R10: the SDK mode and System 2 state; null when the Runtime is not read
+   * or is older than the setting. */
+  pipeline?: PipelineSummary | null;
   summary: {
     state: "ok" | "partial";
     degraded: string[];
@@ -64,6 +67,88 @@ export interface StatusDocument {
   };
 }
 
+export interface PipelineSummary {
+  mode: "lite" | "pro" | "ultra";
+  configured_mode: "lite" | "pro" | "ultra";
+  forced_by_env: boolean;
+  last_evolve_at: string | null;
+  evolve_schedule: { enabled: boolean; time: string } | null;
+  evolve_running: number;
+  evolve_users: Record<
+    string,
+    {
+      last_run_at: string | null;
+      last_error: string | null;
+      state: string | null;
+    }
+  >;
+  graph_build: string | null;
+}
+
+const MODES = new Set(["lite", "pro", "ultra"]);
+
+/** Projection of `pipeline` in `/api/v1/memory-processing`; null if absent or malformed. */
+export function describePipeline(value: unknown): PipelineSummary | null {
+  if (!value || typeof value !== "object") return null;
+  const pipeline = (value as { pipeline?: unknown }).pipeline;
+  if (!pipeline || typeof pipeline !== "object") return null;
+  const item = pipeline as Record<string, unknown>;
+  if (
+    !MODES.has(String(item.mode)) ||
+    !MODES.has(String(item.configured_mode))
+  ) {
+    return null;
+  }
+  const evolve =
+    item.evolve && typeof item.evolve === "object"
+      ? (item.evolve as Record<string, unknown>)
+      : {};
+  const schedule =
+    evolve.schedule && typeof evolve.schedule === "object"
+      ? (evolve.schedule as Record<string, unknown>)
+      : null;
+  const users: PipelineSummary["evolve_users"] = {};
+  if (evolve.users && typeof evolve.users === "object") {
+    for (const [userId, raw] of Object.entries(
+      evolve.users as Record<string, unknown>,
+    )) {
+      const user =
+        raw && typeof raw === "object" ? (raw as Record<string, unknown>) : {};
+      const result =
+        user.last_result && typeof user.last_result === "object"
+          ? (user.last_result as Record<string, unknown>)
+          : {};
+      users[userId] = {
+        last_run_at:
+          typeof user.last_run_at === "string" ? user.last_run_at : null,
+        last_error:
+          typeof user.last_error === "string" ? user.last_error : null,
+        state: typeof result.state === "string" ? result.state : null,
+      };
+    }
+  }
+  const graph =
+    item.graph_build && typeof item.graph_build === "object"
+      ? (item.graph_build as Record<string, unknown>)
+      : {};
+  return {
+    mode: item.mode as PipelineSummary["mode"],
+    configured_mode: item.configured_mode as PipelineSummary["mode"],
+    forced_by_env: item.forced_by_env === true,
+    last_evolve_at:
+      typeof item.last_evolve_at === "string" ? item.last_evolve_at : null,
+    evolve_schedule:
+      schedule &&
+      typeof schedule.enabled === "boolean" &&
+      typeof schedule.time === "string"
+        ? { enabled: schedule.enabled, time: schedule.time }
+        : null,
+    evolve_running: Array.isArray(evolve.running) ? evolve.running.length : 0,
+    evolve_users: users,
+    graph_build: typeof graph.state === "string" ? graph.state : null,
+  };
+}
+
 const SECTION_NAMES = [
   "sources",
   "sync",
@@ -97,6 +182,7 @@ export async function composeStatusReport(options: {
   attachFailure?: string;
 }): Promise<StatusDocument> {
   const sections: Record<string, Section> = {};
+  let pipeline: PipelineSummary | null = null;
   if (options.reader === null) {
     const state: SectionState =
       options.attachFailure === undefined ? "not_checked" : "unavailable";
@@ -118,6 +204,8 @@ export async function composeStatusReport(options: {
       validateProcessing,
       describeProcessing,
     );
+    pipeline =
+      processing.state === "ok" ? describePipeline(processing.data) : null;
     sections.model = section(model, validateModelProfiles, describeModel);
     sections.memories = section(
       memories,
@@ -169,6 +257,7 @@ export async function composeStatusReport(options: {
     },
     bridge,
     sections,
+    pipeline,
     summary: {
       state:
         degraded.length === 0 && notChecked.length === 0 ? "ok" : "partial",
@@ -205,6 +294,7 @@ export function renderStatusText(
       `${SECTION_LABELS[name]}：${sectionLine(report.sections[name])}`,
     );
   }
+  if (report.pipeline) lines.push(`记忆模式：${pipelineLine(report.pipeline)}`);
   if (report.summary.state === "partial") {
     const notes = [
       report.summary.degraded.length > 0
@@ -220,6 +310,28 @@ export function renderStatusText(
   return lines.join("\n");
 }
 
+export function pipelineLine(pipeline: PipelineSummary): string {
+  const parts: string[] = [pipeline.mode];
+  if (pipeline.forced_by_env)
+    parts.push("（ONE_MEMORY_GRAPH_STORE 强制 ultra）");
+  if (pipeline.mode === "ultra") {
+    const schedule = pipeline.evolve_schedule;
+    parts.push(
+      schedule?.enabled
+        ? `，每日 ${schedule.time} 自动进化`
+        : "，自动进化已关闭",
+    );
+    parts.push(
+      pipeline.last_evolve_at
+        ? `，上次进化 ${pipeline.last_evolve_at}`
+        : "，尚未进化",
+    );
+    if (pipeline.evolve_running > 0)
+      parts.push(`，进行中 ${pipeline.evolve_running}`);
+  }
+  return parts.join("");
+}
+
 function runtimeLine(report: StatusDocument): string {
   if (report.runtime.state !== "running") {
     return report.runtime.state === "stopped" ? "未运行" : "暂时无法确认";

memhub/apps/core/src/one_memory/api.py

@@ -1,5 +1,6 @@
 import asyncio
 import hashlib
+import importlib.util
 import json
 import logging
 import os
@@ -83,7 +84,12 @@ from one_memory.external_memory_access import (
 )
 from one_memory.extraction_settings import ExtractionSettings, ExtractionSettingsStore
 from one_memory.file_imports import FileImportStore, file_import_router
-from one_memory.hy_graph_admin import GraphWidthDecision, GraphWidthMismatch
+from one_memory.hy_graph_admin import (
+    GraphWidthDecision,
+    GraphWidthMismatch,
+    effective_memory_mode,
+    graph_store_enabled,
+)
 from one_memory.hy_runtime_config import (
     HY_MEMORY_READER,
     DiagnosticLogLevel,
@@ -176,6 +182,16 @@ from one_memory.memory_additions import (
     MemoryAdditionStore,
     memory_add_router,
 )
+from one_memory.memory_evolution import (
+    EvolveModeError,
+    EvolveRunReceipt,
+    EvolveScheduler,
+    EvolveService,
+    EvolveStateStore,
+    GraphBuildState,
+    MemoryGraphBackfill,
+    UserEvolveState,
+)
 from one_memory.memory_governance import (
     MemoryGovernanceStore,
 )
@@ -183,7 +199,12 @@ from one_memory.memory_qa import MemoryAnswerError
 from one_memory.memory_queue import (
     ExtractionWindowPreset,
 )
-from one_memory.memory_server.config_state import ConfigStore
+from one_memory.memory_server.config_state import (
+    MEMORY_MODES,
+    ConfigStore,
+    EvolveSchedule,
+    MemoryMode,
+)
 from one_memory.memory_tasks import (
     NON_RETRYABLE_POST_WRITE_CODES,
     MemoryTaskStatus,
@@ -629,6 +650,119 @@ class MemoryProcessingSummary(BaseModel):
     active_queue: int = 0
     in_flight_count: int = 0
     metrics: ProcessingMetrics = Field(default_factory=ProcessingMetrics)
+    #: R10: the SDK mode and System 2 state. Optional so older readers and
+    #: test doubles stay valid; Core always sends it.
+    pipeline: "PipelineStatus | None" = None
+
+
+class MemoryModeState(BaseModel):
+    """`GET /api/v1/settings/memory-mode`."""
+
+    model_config = ConfigDict(extra="forbid")
+
+    #: What SDK clients are built with now.
+    mode: MemoryMode
+    #: The saved setting (default pro).
+    configured_mode: MemoryMode
+    #: `ONE_MEMORY_GRAPH_STORE` (dev) forces ultra over the setting.
+    forced_by_env: bool
+    modes: tuple[MemoryMode, ...] = MEMORY_MODES
+    graph_build: GraphBuildState
+
+
+class MemoryModeUpdate(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    mode: MemoryMode
+
+
+MemoryModeEffect = Literal[
+    "earlier_raw_not_extracted",
+    "higher_mode_memories_hidden",
+    "existing_memories_added_to_graph",
+    "evolve_stopped",
+    "lite_search_stops",
+    "graph_backfill_already_running",
+]
+
+
+class MemoryModeChange(MemoryModeState):
+    """`PUT /api/v1/settings/memory-mode`: the new state and what it changes."""
+
+    previous_mode: MemoryMode
+    effects: tuple[MemoryModeEffect, ...] = ()
+
+
+class EvolveScheduleUpdate(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    enabled: StrictBool | None = None
+    time: str | None = Field(default=None, pattern=r"^(?:[01][0-9]|2[0-3]):[0-5][0-9]$")
+
+
+class EvolveRequest(BaseModel):
+    """`POST /api/v2/evolve`."""
+
+    model_config = ConfigDict(extra="forbid")
+
+    user_id: UserId = DEFAULT_USER_ID
+    #: Default `all-apps`, the agent MemHub writes every memory under.
+    agent_id: str | None = Field(default=None, min_length=1, max_length=128)
+    max_batches: int | None = Field(default=None, ge=1, le=1_000)
+
+
+class EvolveOverview(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    mode: MemoryMode
+    schedule: EvolveSchedule
+    users: dict[str, UserEvolveState]
+    running: tuple[EvolveRunReceipt, ...] = ()
+
+
+class PipelineStatus(BaseModel):
+    """`pipeline` in `/api/v1/memory-processing` and `memhub status --json`."""
+
+    model_config = ConfigDict(extra="forbid")
+
+    mode: MemoryMode
+    configured_mode: MemoryMode
+    forced_by_env: bool
+    evolve: EvolveOverview
+    #: Newest finished run across users, for a one-line status.
+    last_evolve_at: datetime | None = None
+    graph_build: GraphBuildState
+
+
+def memory_mode_effects(
+    previous: str,
+    new: str,
+    *,
+    graph_backfill: bool | None = None,
+) -> tuple[MemoryModeEffect, ...]:
+    """What a mode switch changes; the SDK migrates nothing on its own.
+
+    `graph_backfill`: True when this switch started the one-time backfill,
+    False when one was already running, None when not asked (no switch).
+    """
+    if previous == new:
+        return ()
+    rank = {"lite": 0, "pro": 1, "ultra": 2}
+    effects: list[MemoryModeEffect] = []
+    if previous == "lite":
+        effects.extend(("earlier_raw_not_extracted", "lite_search_stops"))
+    if rank[new] < rank[previous]:
+        effects.append("higher_mode_memories_hidden")
+    if previous == "ultra":
+        effects.append("evolve_stopped")
+    if new == "ultra" and graph_backfill is True:
+        effects.append("existing_memories_added_to_graph")
+    if new == "ultra" and graph_backfill is False:
+        effects.append("graph_backfill_already_running")
+    return tuple(effects)
+
+
+MemoryProcessingSummary.model_rebuild()
 
 
 class RetryUnknownMemoryTasksRequest(BaseModel):
@@ -983,6 +1117,7 @@ def create_app(
                 source_id: asyncio.Lock() for source_id in app.state.source_catalog
             }
             app.state.sedimentation_lock = asyncio.Lock()
+            app.state.memory_mode_lock = asyncio.Lock()
             _follow_workbuddy_home(app, runtime_settings.source_home)
             app.state.source_detection = {}
 
@@ -1084,6 +1219,7 @@ def create_app(
                     )
                 ),
                 sedimentation_enabled=lambda: _config_store(app).sedimentation_enabled(),
+                memory_mode=lambda: _memory_mode(app),
             )
             app.state.sdk_memory_runtime = SdkMemoryRuntime(
                 coordinator=app.state.sdk_write_coordinator,
@@ -1091,7 +1227,22 @@ def create_app(
                 write_queue=memory_write_queue,
                 extraction_settings=app.state.extraction_settings_store,
                 data_dir=runtime_settings.data_dir,
-                user_ids=lambda: _known_user_ids(app),
+                memory_mode=lambda: _memory_mode(app),
+            )
+            app.state.evolve_state_store = EvolveStateStore(runtime_settings.data_dir)
+            app.state.evolve_service = EvolveService(
+                coordinator=app.state.sdk_write_coordinator,
+                state=app.state.evolve_state_store,
+                memory_mode=lambda: _memory_mode(app),
+            )
+            app.state.evolve_scheduler = EvolveScheduler(
+                service=app.state.evolve_service,
+                schedule=lambda: _config_store(app).evolve_schedule(),
+                users_with_memories=lambda: _users_with_memories(app),
+            )
+            app.state.memory_graph_backfill = MemoryGraphBackfill(
+                coordinator=app.state.sdk_write_coordinator,
+                state=app.state.evolve_state_store,
             )
             # C2 owns the single production budget (handle 5s + reserve 250ms,
             # total 5.25s, lease 10s, renew 1s, claim 250ms). The composition
@@ -1427,8 +1578,9 @@ def create_app(
                         name="one-memory-durable-write-drain",
                     )
 
-                async def start_raw_retention() -> None:
-                    app.state.sdk_memory_runtime.start_raw_retention()
+                async def start_evolve_schedule() -> None:
+                    # Idle outside ultra: each tick asks the mode first.
+                    app.state.evolve_scheduler.start()
 
                 async def replay_pending_dispatch() -> None:
                     # A file's Evidence and its pending-dispatch row commit atomically,
@@ -1509,7 +1661,7 @@ def create_app(
                         await step("sdk_metadata_repair", repair_sdk_metadata)
                     await step("write_drain", start_write_drain)
                     if sdk:
-                        await step("raw_retention", start_raw_retention)
+                        await step("evolve_schedule", start_evolve_schedule)
                     else:
                         await step("pending_dispatch_replay", replay_pending_dispatch)
                     await step("import_resume", resume_imports)
@@ -1606,6 +1758,9 @@ def create_app(
                 if app.state.memory_write_drain_task is not None:
                     with suppress(asyncio.CancelledError):
                         await app.state.memory_write_drain_task
+                await app.state.evolve_scheduler.shutdown()
+                await app.state.evolve_service.shutdown()
+                await app.state.memory_graph_backfill.shutdown()
                 await app.state.sdk_memory_runtime.shutdown()
                 await app.state.sdk_write_coordinator.close()
                 if app.state.sdk_client_handle is not None:
@@ -1635,6 +1790,7 @@ def create_app(
         version=__version__,
         lifespan=lifespan,
     )
+    app.state.memory_mode = lambda: _memory_mode(app)
     app.state.service_levels = ServiceLevelScheduler(
         {
             ServiceResource.IMPORT: ResourceLimit(
@@ -4079,8 +4235,148 @@ def create_app(
             active_queue=active_queue,
             in_flight_count=in_flight_count,
             metrics=ProcessingMetrics.model_validate(store.processing_metrics()),
+            pipeline=_pipeline_status(app),
         )
 
+    @app.get(
+        "/api/v1/settings/memory-mode",
+        response_model=MemoryModeState,
+        dependencies=strict,
+    )
+    def get_memory_mode() -> MemoryModeState:
+        """The SDK mode (lite / pro / ultra): configured, effective, and why."""
+        return _memory_mode_state(app)
+
+    @app.put(
+        "/api/v1/settings/memory-mode",
+        response_model=MemoryModeChange,
+        dependencies=strict,
+    )
+    async def put_memory_mode(request: MemoryModeUpdate) -> MemoryModeChange:
+        """Choose the SDK mode. Nothing is migrated; `effects` says what changes.
+
+        The mode is read when a queued job runs, not when it was queued: a
+        job already done (in any mode) stays done and is never reprocessed;
+        jobs still waiting, and new input, run in the new mode. A batch in
+        flight finishes in the old mode. Search follows the new mode at once.
+        lite → pro/ultra: what lite stored stays raw, and lite's raw-only
+        search stops. Down to a lower mode: memories the higher mode made stay
+        stored but are not shown. → ultra: every user's existing facts are
+        added to the graph once, in the background (`graph_build`). No raw is
+        ever deleted, in any mode. See docs/contracts/memory-mode-evolve-v1.md.
+        """
+        if request.mode == "ultra" and importlib.util.find_spec("kuzu") is None:
+            raise HTTPException(status_code=409, detail="graph_store_unavailable")
+        store = _config_store(app)
+        async with app.state.memory_mode_lock:
+            previous_effective = _memory_mode(app)
+            previous = store.memory_mode()
+            if previous != request.mode or "memory_mode" not in store.document().model_fields_set:
+                await asyncio.to_thread(store.set_memory_mode, request.mode)
+            effective = _memory_mode(app)
+            backfill: bool | None = None
+            if effective != previous_effective:
+                # Reads rebuild on their next request (`ActiveProfileReadHandle`).
+                await app.state.sdk_write_coordinator.retire_stale_modes()
+                if effective == "ultra":
+                    backfill = not app.state.memory_graph_backfill.running
+                    if backfill:
+                        users = await asyncio.to_thread(_known_user_ids, app)
+                        app.state.memory_graph_backfill.start(users)
+                diagnostic_event(
+                    level="info",
+                    component="memory.mode",
+                    event="memory_mode.changed",
+                    outcome="succeeded",
+                    details={"mode": effective, "previous_mode": previous_effective},
+                )
+        return MemoryModeChange(
+            **_memory_mode_state(app).model_dump(),
+            previous_mode=previous_effective,
+            effects=memory_mode_effects(previous_effective, effective, graph_backfill=backfill),
+        )
+
+    @app.get(
+        "/api/v1/settings/evolve-schedule",
+        response_model=EvolveSchedule,
+        dependencies=strict,
+    )
+    def get_evolve_schedule() -> EvolveSchedule:
+        return _config_store(app).evolve_schedule()
+
+    @app.put(
+        "/api/v1/settings/evolve-schedule",
+        response_model=EvolveSchedule,
+        dependencies=strict,
+    )
+    async def put_evolve_schedule(request: EvolveScheduleUpdate) -> EvolveSchedule:
+        """Turn the nightly evolve on or off, or move it (local `HH:MM`)."""
+        store = _config_store(app)
+        current = store.evolve_schedule()
+        updated = EvolveSchedule(
+            enabled=current.enabled if request.enabled is None else request.enabled,
+            time=current.time if request.time is None else request.time,
+        )
+        await asyncio.to_thread(store.set_evolve_schedule, updated)
+        return updated
+
+    @app.post(
+        "/api/v2/evolve",
+        response_model=EvolveRunReceipt,
+        status_code=202,
+        dependencies=strict,
+    )
+    async def start_evolve(request: EvolveRequest) -> EvolveRunReceipt:
+        """Run System 2 for one user, in the background; read the run by its id.
+
+        Ultra only (409 `memory_mode_not_ultra`). One run per user: asking
+        while one runs answers that run. The run waits for the user's write
+        in flight and holds their next writes until it ends, and repeats
+        while the SDK says there is more to do (up to 20 rounds).
+        """
+        try:
+            return _evolve_service(app).start(
+                request.user_id,
+                agent_id=request.agent_id,
+                max_batches=request.max_batches,
+            )
+        except EvolveModeError:
+            raise HTTPException(status_code=409, detail="memory_mode_not_ultra") from None
+
+    @app.get(
+        "/api/v2/evolve",
+        response_model=EvolveOverview,
+        dependencies=strict,
+    )
+    def evolve_overview(
+        user_id: str | None = Query(default=None, pattern=USER_ID_PATTERN),
+    ) -> EvolveOverview:
+        """Last run per user and the runs in progress; one user's with `user_id`."""
+        overview = _evolve_overview(app)
+        if user_id is None:
+            return overview
+        return overview.model_copy(
+            update={
+                "users": {key: value for key, value in overview.users.items() if key == user_id},
+                "running": tuple(run for run in overview.running if run.user_id == user_id),
+            }
+        )
+
+    @app.get(
+        "/api/v2/evolve/{run_id}",
+        response_model=EvolveRunReceipt,
+        dependencies=strict,
+    )
+    def get_evolve_run(
+        run_id: str,
+        user_id: str = Query(default=DEFAULT_USER_ID, pattern=USER_ID_PATTERN),
+    ) -> EvolveRunReceipt:
+        """One run; another user's run answers exactly like a missing one."""
+        receipt = _evolve_service(app).get(run_id)
+        if receipt is None or receipt.user_id != user_id:
+            raise HTTPException(status_code=404, detail="evolve_run_not_found")
+        return receipt
+
     @app.post(
         "/api/v1/memory-processing/retry-unknown",
         response_model=RetryUnknownMemoryTasksReceipt,
@@ -4413,14 +4709,50 @@ def _other_user_lanes(
 
 
 def _known_user_ids(app: FastAPI) -> tuple[str, ...]:
-    """`local` and every user holding a grant: the users whose data Core keeps."""
+    """Every user whose data Core keeps, from Core's own records.
+
+    The SDK has no "list users": `local`, every user holding a grant (a
+    Hermes profile), and every user whose turns or notes passed the write
+    queue (`POST /api/v2/memories` or `/api/v2/memory-writes` with a user).
+    """
     users = [DEFAULT_USER_ID]
     for receipt, _root in _grant_store(app).grants():
         if receipt.user_id not in users:
             users.append(receipt.user_id)
+    queue = getattr(app.state, "memory_write_queue", None)
+    if queue is not None:
+        with main_database(queue.database_path).read() as database:
+            for (source_key,) in database.execute(
+                "SELECT DISTINCT source_key FROM memory_write_jobs"
+            ):
+                user_id = split_lane(str(source_key))[0]
+                if user_id not in users:
+                    users.append(user_id)
     return tuple(users)
 
 
+async def _users_with_memories(app: FastAPI) -> tuple[str, ...]:
+    """Known users the SDK holds any memory for: the nightly evolve's users."""
+    users = await asyncio.to_thread(_known_user_ids, app)
+    client = await _sdk_client_handle(app).client()
+    found: list[str] = []
+    for user_id in users:
+        try:
+            stats = await asyncio.to_thread(client.memory_stats, user_id=user_id)
+        except Exception:
+            continue
+        scenes = stats.get("scenes") if isinstance(stats, dict) else None
+        total = stats.get("total") if isinstance(stats, dict) else None
+        facts = sum(
+            int(scene.get("facts") or 0)
+            for scene in (scenes or {}).values()
+            if isinstance(scene, dict)
+        )
+        if (isinstance(total, int) and total > 0) or facts > 0:
+            found.append(user_id)
+    return tuple(found)
+
+
 def _granted_roots(
     source_ids: Iterable[str],
     grant_store: SourceGrantStore,
@@ -5161,7 +5493,13 @@ def _sdk_memory_runtime(app: FastAPI) -> SdkMemoryRuntime:
 
 
 async def _recall_model_ready(app: FastAPI) -> bool:
-    """A generation model is configured and usable, so memories can exist."""
+    """A generation model is configured and usable, so memories can exist.
+
+    In lite nothing is extracted whatever model is configured: recall reads
+    the raw conversations.
+    """
+    if _memory_mode(app) == "lite":
+        return False
     try:
         profile = await asyncio.to_thread(_model_profile_store(app).active, _secret_store(app))
     except Exception:
@@ -5310,16 +5648,68 @@ def _sdk_client_handle(app: FastAPI) -> SdkClientHandle:
     handle = cast(SdkClientHandle | None, app.state.sdk_client_handle)
     if handle is None:
         # Reads open the embedding space writes fill: the active profile's,
-        # the built-in one only when none is active (#242).
+        # the built-in one only when none is active (#242). A profile or a
+        # memory-mode change rebuilds the client.
         handle = ActiveProfileReadHandle(
             profiles=_model_profile_store(app),
             secrets=_secret_store(app),
             data_dir=cast(Settings, app.state.settings).data_dir,
+            memory_mode=lambda: _memory_mode(app),
         )
         app.state.sdk_client_handle = handle
     return handle
 
 
+def _memory_mode(app: FastAPI) -> MemoryMode:
+    """The mode SDK clients are built with: the setting, or ultra forced by env."""
+    store = getattr(app.state, "config_store", None)
+    configured = store.memory_mode() if store is not None else "pro"
+    return cast(MemoryMode, effective_memory_mode(configured))
+
+
+def _memory_mode_state(app: FastAPI) -> MemoryModeState:
+    mode = _memory_mode(app)
+    return MemoryModeState(
+        mode=mode,
+        configured_mode=_config_store(app).memory_mode(),
+        forced_by_env=graph_store_enabled(),
+        graph_build=app.state.evolve_state_store.graph_build(),
+    )
+
+
+def _evolve_service(app: FastAPI) -> EvolveService:
+    return cast(EvolveService, app.state.evolve_service)
+
+
+def _evolve_overview(app: FastAPI) -> EvolveOverview:
+    document = app.state.evolve_state_store.document()
+    return EvolveOverview(
+        mode=_memory_mode(app),
+        schedule=_config_store(app).evolve_schedule(),
+        users=document.users,
+        running=app.state.evolve_service.running(),
+    )
+
+
+def _pipeline_status(app: FastAPI) -> PipelineStatus | None:
+    """R10's `pipeline`, or None before the evolve state exists (legacy tests)."""
+    if getattr(app.state, "evolve_state_store", None) is None:
+        return None
+    state = _memory_mode_state(app)
+    overview = _evolve_overview(app)
+    finished = [
+        user.last_run_at for user in overview.users.values() if user.last_run_at is not None
+    ]
+    return PipelineStatus(
+        mode=state.mode,
+        configured_mode=state.configured_mode,
+        forced_by_env=state.forced_by_env,
+        evolve=overview,
+        last_evolve_at=max(finished, default=None),
+        graph_build=state.graph_build,
+    )
+
+
 def _log_skipped_sdk_memories(count: int) -> None:
     if count:
         logger.warning("sdk_memory_invalid_rows_skipped count=%d", count)
@@ -5566,16 +5956,29 @@ def _source_writes_on(app: FastAPI, source_id: str) -> bool:
 
 
 def _sedimentation_claim_enabled(app: FastAPI, source_id: str) -> bool:
-    """Claim queued model work only when policy, source and model all admit it."""
+    """Claim queued model work only when policy, source and model all admit it.
+
+    lite calls no model, so it needs no active generation profile: the
+    built-in local embedder stores the raw turns. A user evolve is running
+    for waits until it is done.
+    """
 
     return (
         _config_store(app).sedimentation_enabled()
-        and _model_profile_store(app).active_identity() is not None
+        and (_memory_mode(app) == "lite" or _model_profile_store(app).active_identity() is not None)
         and _history_import_gate_released(app)
         and _source_writes_on(app, source_id)
+        and not _user_evolving(app, split_lane(source_id)[0])
     )
 
 
+def _user_evolving(app: FastAPI, user_id: str) -> bool:
+    """Whether evolve holds this user's writes right now."""
+    coordinator = getattr(app.state, "sdk_write_coordinator", None)
+    evolving = getattr(coordinator, "evolving", None)
+    return bool(callable(evolving) and evolving(user_id))
+
+
 def _history_import_gate_released(app: FastAPI) -> bool:
     """Hold first sedimentation until every accepted history import is terminal."""
 

memhub/apps/core/src/one_memory/context_routes.py

@@ -110,6 +110,8 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
             client = await client_handle.client()
         except Exception:
             raise HTTPException(503, "sdk_context_unavailable") from None
+        memory_mode = getattr(request.app.state, "memory_mode", None)
+        lite = callable(memory_mode) and memory_mode() == "lite"
 
         async def raw_lane() -> tuple[SdkRawContextItem, ...]:
             if "raw" not in value.kinds or not authority.raw_allowed:
@@ -155,7 +157,9 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
             )
 
         async def memory_lane() -> tuple[SdkMemoryContextItem, ...]:
-            if "memory" not in value.kinds or not authority.memory_allowed:
+            # lite extracts nothing: its search answers raw turns, which the
+            # raw lane already reads under the raw authority.
+            if "memory" not in value.kinds or not authority.memory_allowed or lite:
                 return ()
             overrides = value.search_overrides()
             raw = await asyncio.to_thread(

memhub/apps/core/src/one_memory/hy_graph_admin.py

@@ -71,6 +71,16 @@ def graph_store_enabled() -> bool:
     return raw != "none"
 
 
+def effective_memory_mode(configured: str = "pro") -> str:
+    """The SDK mode clients are built with: the setting, unless dev forces ultra.
+
+    `ONE_MEMORY_GRAPH_STORE` (any value but empty or `none`) predates the
+    setting and keeps working for development: it forces ultra whatever the
+    configured mode. Without it the configured mode (default pro) applies.
+    """
+    return "ultra" if graph_store_enabled() else configured
+
+
 def inspect_graph_width_mismatch(config: Any) -> GraphWidthMismatch | None:
     """Return a mismatch without renaming or deleting anything."""
     db_path = Path(config.graph_store.db_path)
@@ -83,11 +93,12 @@ def inspect_profile_graph_width(
     *,
     api_key: str | None,
     data_dir: Path,
+    mode: str | None = None,
 ) -> GraphWidthMismatch | None:
     """Inspect the graph path and width selected by the active profile."""
     del api_key
     return _inspect_graph_width(
-        _profile_graph_path(data_dir),
+        _profile_graph_path(data_dir, mode),
         _profile_embedding_width(profile),
     )
 
@@ -98,11 +109,12 @@ def decide_profile_graph_width(
     api_key: str | None,
     data_dir: Path,
     decision: GraphWidthDecision,
+    mode: str | None = None,
 ) -> GraphWidthOutcome:
     """Apply the user's decision to the active profile's graph."""
     del api_key
     config = _GraphAdminConfig(
-        graph_store=_GraphStoreConfig(str(_profile_graph_path(data_dir))),
+        graph_store=_GraphStoreConfig(str(_profile_graph_path(data_dir, mode))),
         embedder=_EmbeddingWidthConfig(_profile_embedding_width(profile)),
     )
     return apply_graph_width_decision(
@@ -240,8 +252,9 @@ def _inspect_graph_width(
     )
 
 
-def _profile_graph_path(data_dir: Path) -> Path:
-    name = "graph" if graph_store_enabled() else "graph-disabled"
+def _profile_graph_path(data_dir: Path, mode: str | None = None) -> Path:
+    ultra = mode == "ultra" if mode is not None else graph_store_enabled()
+    name = "graph" if ultra else "graph-disabled"
     return data_dir / "hy-memory" / HY_MEMORY_NAMESPACE / name
 
 

memhub/apps/core/src/one_memory/hy_sdk_runtime.py

@@ -31,7 +31,7 @@ from one_memory.embedding_assets import (
 )
 from one_memory.hy_graph_admin import (
     GraphWidthMismatchError,
-    graph_store_enabled,
+    effective_memory_mode,
     inspect_graph_width_mismatch,
 )
 from one_memory.hy_sdk_types import HySdkRuntimeError
@@ -170,11 +170,14 @@ class SdkClientHandle:
         api_key: str | None,
         data_dir: Path,
         http_transport_factory: Callable[[], Any] | None = None,
+        mode: str | None = None,
     ) -> None:
         self._profile = profile
         self._api_key = api_key
         self._data_dir = data_dir
         self._http_transport_factory = http_transport_factory
+        #: The SDK mode this handle's client is built with, fixed for its life.
+        self.mode = mode or effective_memory_mode()
         self._lease: ClientLease | None = None
         self._lock = asyncio.Lock()
 
@@ -189,6 +192,7 @@ class SdkClientHandle:
                     api_key=self._api_key,
                     data_dir=self._data_dir,
                     http_transport_factory=self._http_transport_factory,
+                    mode=self.mode,
                 )
             return self._lease.client
 
@@ -352,9 +356,12 @@ def acquire_client(
     api_key: str | None,
     data_dir: Path,
     http_transport_factory: Callable[[], Any] | None = None,
+    mode: str | None = None,
 ) -> ClientLease:
     """Construct a public SDK client and return its explicit runtime lease.
 
+    `mode` is the SDK pipeline mode (lite / pro / ultra); None keeps the
+    pre-setting default (ultra when `ONE_MEMORY_GRAPH_STORE` is set, else pro).
     Waits while `hold_stores_offline` holds this home's stores.
     """
     key = data_dir.resolve()
@@ -368,6 +375,7 @@ def acquire_client(
             api_key=api_key,
             data_dir=data_dir,
             http_transport_factory=http_transport_factory,
+            mode=mode or effective_memory_mode(),
         )
     finally:
         with _STORE_GATE:
@@ -406,6 +414,7 @@ def _acquire_client(
     api_key: str | None,
     data_dir: Path,
     http_transport_factory: Callable[[], Any] | None,
+    mode: str = "pro",
 ) -> ClientLease:
     config = build_sdk_config(profile, api_key=api_key, data_dir=data_dir)
     config.http_transport_factory = http_transport_factory
@@ -423,7 +432,7 @@ def _acquire_client(
         with constructing:
             client = HyMemoryClient(
                 config=config,
-                mode="ultra" if graph_store_enabled() else "pro",
+                mode=mode,
                 runtime=runtime,
                 embedding_service=embedding_service,
             )

memhub/apps/core/src/one_memory/memory_evolution.py

@@ -0,0 +1,618 @@
+"""System 2 for ultra: evolve runs, their receipts, the nightly schedule, graph backfill.
+
+hy-memory 2.0.9's `client.evolve(user_id, agent_id, max_batches)` is ultra
+only, holds no lock, and has no scheduler: MemHub owns all three.
+
+- A run is asynchronous: `start` answers a receipt at once and the run goes
+  on in the background (evolve makes model calls across the user's whole
+  library and can take minutes, longer than any HTTP timeout). One run per
+  user at a time: asking again while one runs returns that run. A run holds
+  the write coordinator's per-user exclusivity, so it never overlaps that
+  user's write batch, and loops while the SDK answers `should_continue`, up
+  to `EVOLVE_MAX_ROUNDS`.
+- The schedule runs every user that has memories once a day at the
+  configured local time, and catches up after the machine slept through it.
+- Switching to ultra backfills each user's existing facts into the graph
+  once (`build_memory_graph`).
+
+What is kept on disk is counts and stable codes only, never memory text:
+`<data_dir>/evolve-state.json`.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import os
+import re
+import threading
+from collections.abc import Awaitable, Callable, Iterable, Mapping
+from datetime import UTC, datetime, timedelta
+from pathlib import Path
+from tempfile import NamedTemporaryFile
+from typing import Any, Literal, Protocol
+from uuid import uuid4
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from one_memory.diagnostic_log import diagnostic_event
+from one_memory.memory_server.config_state import EvolveSchedule
+from one_memory.memory_server.durable_queue import safe_error_code
+from one_memory.sdk_write_processor import PRODUCT_AGENT_ID
+
+logger = logging.getLogger(__name__)
+
+#: Rounds one run makes while the SDK says there is more to do.
+EVOLVE_MAX_ROUNDS = 20
+#: How often the schedule looks at the clock; also bounds catch-up after wake.
+SCHEDULE_CHECK_SECONDS = 300.0
+#: Receipts kept in memory for `GET /api/v2/evolve/{run_id}`.
+_KEPT_RUNS = 64
+_STABLE_CODE = re.compile(r"[a-z][a-z0-9_]{0,95}")
+_COUNTS = (
+    "remaining_clusters",
+    "remaining_actionable_clusters",
+    "remaining_fresh_facts",
+)
+
+RunState = Literal["running", "succeeded", "failed"]
+Trigger = Literal["manual", "scheduled"]
+
+
+class EvolveModeError(RuntimeError):
+    """Evolve asked for outside ultra."""
+
+    def __init__(self) -> None:
+        super().__init__("memory_mode_not_ultra")
+
+
+class EvolveRunReceipt(BaseModel):
+    """One evolve run. Counts and codes; `results` only while in memory."""
+
+    model_config = ConfigDict(extra="forbid")
+
+    run_id: str
+    user_id: str
+    agent_id: str
+    max_batches: int | None = None
+    trigger: Trigger = "manual"
+    state: RunState = "running"
+    started_at: datetime
+    finished_at: datetime | None = None
+    rounds: int = 0
+    tasks_processed: int = 0
+    batch_failures: int = 0
+    cycle_status: str | None = None
+    should_continue: bool | None = None
+    continuation_reason: str | None = None
+    remaining_clusters: int | None = None
+    remaining_actionable_clusters: int | None = None
+    remaining_fresh_facts: int | None = None
+    #: True when the round cap stopped a run the SDK would have continued.
+    capped: bool = False
+    elapsed_ms: float = 0.0
+    error_code: str | None = None
+    failure_kind: str | None = None
+    #: The last round's SDK `request_id`, for matching SDK logs.
+    request_id: str | None = None
+    #: The last round's SDK `results` and `cross_domain_sweeper`. Kept only
+    #: in this receipt, never written to disk or diagnostics.
+    results: Any = None
+    cross_domain_sweeper: Any = None
+
+    def summary(self) -> dict[str, object]:
+        """What is persisted and shown in status: no SDK result bodies."""
+        return self.model_dump(mode="json", exclude={"results", "cross_domain_sweeper"})
+
+
+class UserEvolveState(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    last_run_at: datetime | None = None
+    last_result: dict[str, object] | None = None
+    last_error: str | None = None
+
+
+class GraphBuildUser(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    state: Literal["pending", "running", "succeeded", "failed"] = "pending"
+    memories_scanned: int | None = None
+    nodes: int | None = None
+    error_code: str | None = None
+
+
+class GraphBuildState(BaseModel):
+    """The one-time backfill of existing facts into the graph after → ultra."""
+
+    model_config = ConfigDict(extra="forbid")
+
+    state: Literal["idle", "running", "succeeded", "failed"] = "idle"
+    started_at: datetime | None = None
+    finished_at: datetime | None = None
+    users: dict[str, GraphBuildUser] = Field(default_factory=dict)
+
+
+class EvolveStateDocument(BaseModel):
+    model_config = ConfigDict(extra="forbid")
+
+    schema_version: int = Field(default=1, ge=1, le=1)
+    users: dict[str, UserEvolveState] = Field(default_factory=dict)
+    #: When the schedule first ran in ultra: the "last run" of a user that
+    #: never ran, so enabling ultra at noon does not evolve everyone at once.
+    schedule_anchor: datetime | None = None
+    graph_build: GraphBuildState = Field(default_factory=GraphBuildState)
+
+
+class EvolveStateStore:
+    """The only writer of `<data_dir>/evolve-state.json`."""
+
+    def __init__(self, data_dir: Path) -> None:
+        self.path = data_dir / "evolve-state.json"
+        self._lock = threading.RLock()
+        self._document = self._read()
+
+    def document(self) -> EvolveStateDocument:
+        with self._lock:
+            return self._document.model_copy(deep=True)
+
+    def user(self, user_id: str) -> UserEvolveState:
+        with self._lock:
+            return self._document.users.get(user_id, UserEvolveState()).model_copy()
+
+    def record_run(self, receipt: EvolveRunReceipt) -> None:
+        with self._lock:
+            users = dict(self._document.users)
+            users[receipt.user_id] = UserEvolveState(
+                last_run_at=receipt.started_at,
+                last_result=receipt.summary(),
+                last_error=receipt.error_code,
+            )
+            self._save(self._document.model_copy(update={"users": users}))
+
+    def anchor(self, now: datetime) -> datetime:
+        """The schedule anchor, set to `now` the first time it is asked."""
+        with self._lock:
+            if self._document.schedule_anchor is None:
+                self._save(self._document.model_copy(update={"schedule_anchor": now}))
+            assert self._document.schedule_anchor is not None
+            return self._document.schedule_anchor
+
+    def graph_build(self) -> GraphBuildState:
+        with self._lock:
+            return self._document.graph_build.model_copy(deep=True)
+
+    def set_graph_build(self, state: GraphBuildState) -> None:
+        with self._lock:
+            self._save(self._document.model_copy(update={"graph_build": state}))
+
+    def _save(self, document: EvolveStateDocument) -> None:
+        payload = json.dumps(document.model_dump(mode="json"), indent=2, sort_keys=True) + "\n"
+        self.path.parent.mkdir(parents=True, exist_ok=True)
+        temporary: Path | None = None
+        try:
+            with NamedTemporaryFile(
+                mode="w",
+                encoding="utf-8",
+                dir=self.path.parent,
+                prefix=".evolve-state.",
+                suffix=".tmp",
+                delete=False,
+            ) as stream:
+                temporary = Path(stream.name)
+                stream.write(payload)
+                stream.flush()
+                os.fsync(stream.fileno())
+            os.chmod(temporary, 0o600)
+            os.replace(temporary, self.path)
+        except OSError:
+            if temporary is not None:
+                temporary.unlink(missing_ok=True)
+            # Status is best-effort: a run must not fail because its record did.
+            logger.warning("evolve_state_write_failed")
+        self._document = document
+
+    def _read(self) -> EvolveStateDocument:
+        try:
+            return EvolveStateDocument.model_validate_json(self.path.read_text(encoding="utf-8"))
+        except FileNotFoundError:
+            return EvolveStateDocument()
+        except (OSError, ValueError):
+            # A damaged status file only loses history; start a fresh one.
+            logger.warning("evolve_state_unreadable")
+            return EvolveStateDocument()
+
+
+class EvolveCoordinator(Protocol):
+    """The write coordinator surface evolve and the graph backfill use."""
+
+    def exclusive_for_evolve(self, user_id: str) -> Any: ...
+
+    def use_client(self) -> Any: ...
+
+
+class EvolveService:
+    """Start, serialize and record evolve runs."""
+
+    def __init__(
+        self,
+        *,
+        coordinator: EvolveCoordinator,
+        state: EvolveStateStore,
+        memory_mode: Callable[[], str],
+        max_rounds: int = EVOLVE_MAX_ROUNDS,
+        now: Callable[[], datetime] = lambda: datetime.now(UTC),
+    ) -> None:
+        self.coordinator = coordinator
+        self.state = state
+        self.memory_mode = memory_mode
+        self.max_rounds = max_rounds
+        self._now = now
+        self._runs: dict[str, EvolveRunReceipt] = {}
+        self._tasks: dict[str, asyncio.Task[None]] = {}
+        self._active: dict[str, str] = {}
+
+    def start(
+        self,
+        user_id: str,
+        *,
+        agent_id: str | None = None,
+        max_batches: int | None = None,
+        trigger: Trigger = "manual",
+    ) -> EvolveRunReceipt:
+        """Start a run, or return the one already running for this user."""
+        if self.memory_mode() != "ultra":
+            raise EvolveModeError()
+        running = self._active.get(user_id)
+        if running is not None:
+            return self._runs[running]
+        receipt = EvolveRunReceipt(
+            run_id=str(uuid4()),
+            user_id=user_id,
+            agent_id=agent_id or PRODUCT_AGENT_ID,
+            max_batches=max_batches,
+            trigger=trigger,
+            started_at=self._now(),
+        )
+        self._remember(receipt)
+        self._active[user_id] = receipt.run_id
+        self._tasks[receipt.run_id] = asyncio.create_task(
+            self._run(receipt.run_id), name="one-memory-evolve"
+        )
+        return receipt
+
+    def get(self, run_id: str) -> EvolveRunReceipt | None:
+        return self._runs.get(run_id)
+
+    def running(self) -> tuple[EvolveRunReceipt, ...]:
+        return tuple(self._runs[run_id] for run_id in self._active.values())
+
+    async def wait(self, run_id: str) -> EvolveRunReceipt | None:
+        task = self._tasks.get(run_id)
+        if task is not None:
+            await asyncio.shield(task)
+        return self._runs.get(run_id)
+
+    async def shutdown(self) -> None:
+        tasks = tuple(self._tasks.values())
+        for task in tasks:
+            task.cancel()
+        await asyncio.gather(*tasks, return_exceptions=True)
+        self._tasks.clear()
+
+    def _remember(self, receipt: EvolveRunReceipt) -> None:
+        self._runs[receipt.run_id] = receipt
+        while len(self._runs) > _KEPT_RUNS:
+            oldest = next(iter(self._runs))
+            if oldest in self._active.values():
+                break
+            del self._runs[oldest]
+
+    async def _run(self, run_id: str) -> None:
+        receipt = self._runs[run_id]
+        diagnostic_event(
+            level="info",
+            component="memory.evolve",
+            event="memory_evolve.started",
+            outcome="started",
+            details={"trigger": receipt.trigger, "max_batches": receipt.max_batches},
+        )
+        try:
+            async with (
+                self.coordinator.exclusive_for_evolve(receipt.user_id),
+                self.coordinator.use_client() as client,
+            ):
+                while receipt.rounds < self.max_rounds:
+                    result = await asyncio.to_thread(
+                        client.evolve,
+                        receipt.user_id,
+                        agent_id=receipt.agent_id,
+                        max_batches=receipt.max_batches,
+                    )
+                    receipt = _folded(receipt, result)
+                    self._runs[run_id] = receipt
+                    if receipt.state == "failed" or not receipt.should_continue:
+                        break
+                else:
+                    receipt = receipt.model_copy(update={"capped": True})
+            if receipt.state == "running":
+                receipt = receipt.model_copy(update={"state": "succeeded"})
+        except asyncio.CancelledError:
+            receipt = receipt.model_copy(
+                update={"state": "failed", "error_code": "memory_evolve_cancelled"}
+            )
+            raise
+        except Exception as error:  # noqa: BLE001 - recorded as a stable code
+            code = safe_error_code(error)
+            receipt = receipt.model_copy(
+                update={
+                    "state": "failed",
+                    "error_code": _stable(code, "hy_memory_evolve_failed"),
+                    "failure_kind": type(error).__name__,
+                }
+            )
+        finally:
+            receipt = receipt.model_copy(update={"finished_at": self._now()})
+            self._runs[run_id] = receipt
+            self._active.pop(receipt.user_id, None)
+            self._tasks.pop(run_id, None)
+            await asyncio.to_thread(self.state.record_run, receipt)
+            diagnostic_event(
+                level="info" if receipt.state == "succeeded" else "warning",
+                component="memory.evolve",
+                event="memory_evolve.finished",
+                outcome="succeeded" if receipt.state == "succeeded" else "failed",
+                details={
+                    "trigger": receipt.trigger,
+                    "rounds": receipt.rounds,
+                    "tasks_processed": receipt.tasks_processed,
+                    "batch_failures": receipt.batch_failures,
+                    "capped": receipt.capped,
+                    "elapsed_ms": round(receipt.elapsed_ms, 1),
+                    "error_code": receipt.error_code,
+                },
+            )
+
+
+def _folded(receipt: EvolveRunReceipt, result: object) -> EvolveRunReceipt:
+    """One more evolve round's result added to the run."""
+    if not isinstance(result, Mapping):
+        return receipt.model_copy(
+            update={"state": "failed", "error_code": "hy_memory_evolve_shape_unknown"}
+        )
+    failures = result.get("batch_failures")
+    update: dict[str, object] = {
+        "rounds": receipt.rounds + 1,
+        "tasks_processed": receipt.tasks_processed + _int(result.get("tasks_processed")),
+        "batch_failures": receipt.batch_failures
+        + (len(failures) if isinstance(failures, list | tuple) else _int(failures)),
+        "elapsed_ms": receipt.elapsed_ms + _float(result.get("elapsed_ms")),
+        "should_continue": result.get("should_continue") is True,
+        "cycle_status": _text(result.get("cycle_status")),
+        "continuation_reason": _text(result.get("continuation_reason")),
+        "request_id": _text(result.get("request_id")),
+        "results": result.get("results"),
+        "cross_domain_sweeper": result.get("cross_domain_sweeper"),
+    }
+    for name in _COUNTS:
+        value = result.get(name)
+        update[name] = value if isinstance(value, int) and not isinstance(value, bool) else None
+    if result.get("success") is not True:
+        code = result.get("error_code")
+        kind = result.get("failure_kind")
+        update.update(
+            state="failed",
+            should_continue=False,
+            error_code=(
+                code
+                if isinstance(code, str) and _STABLE_CODE.fullmatch(code)
+                else "hy_memory_evolve_rejected"
+            ),
+            failure_kind=kind if isinstance(kind, str) and _STABLE_CODE.fullmatch(kind) else None,
+        )
+    return receipt.model_copy(update=update)
+
+
+def _stable(code: str, fallback: str) -> str:
+    return code if _STABLE_CODE.fullmatch(code) else fallback
+
+
+def _int(value: object) -> int:
+    return value if isinstance(value, int) and not isinstance(value, bool) else 0
+
+
+def _float(value: object) -> float:
+    if isinstance(value, int | float) and not isinstance(value, bool):
+        return float(value)
+    return 0.0
+
+
+def _text(value: object) -> str | None:
+    return value[:128] if isinstance(value, str) else None
+
+
+def evolve_due(
+    now: datetime,
+    schedule: EvolveSchedule,
+    last_run_at: datetime | None,
+    anchor: datetime,
+) -> bool:
+    """Whether a user's nightly evolve is due at `now` (aware, local time).
+
+    Due once the day's slot (`schedule.time`, local) has passed and the last
+    run (or, for a user who never ran, the anchor) is older than that slot.
+    A last run more than 24 hours old is due at once as well: a machine asleep
+    at the slot catches up when it wakes, even before the next day's slot.
+    """
+    if not schedule.enabled:
+        return False
+    local = now.astimezone()
+    hour, minute = (int(part) for part in schedule.time.split(":"))
+    slot = local.replace(hour=hour, minute=minute, second=0, microsecond=0)
+    reference = last_run_at or anchor
+    if local >= slot and reference < slot:
+        return True
+    return last_run_at is not None and local - last_run_at > timedelta(hours=24)
+
+
+class EvolveScheduler:
+    """Run evolve nightly for every user that has memories (ultra only)."""
+
+    def __init__(
+        self,
+        *,
+        service: EvolveService,
+        schedule: Callable[[], EvolveSchedule],
+        users_with_memories: Callable[[], Awaitable[Iterable[str]]],
+        now: Callable[[], datetime] = lambda: datetime.now().astimezone(),
+        check_seconds: float = SCHEDULE_CHECK_SECONDS,
+    ) -> None:
+        self.service = service
+        self.schedule = schedule
+        self.users_with_memories = users_with_memories
+        self._now = now
+        self.check_seconds = check_seconds
+        self._task: asyncio.Task[None] | None = None
+
+    def start(self) -> None:
+        if self._task is None or self._task.done():
+            self._task = asyncio.create_task(self._loop(), name="one-memory-evolve-schedule")
+
+    async def tick(self) -> tuple[str, ...]:
+        """Run every due user once, one after another; the users run."""
+        schedule = self.schedule()
+        if not schedule.enabled or self.service.memory_mode() != "ultra":
+            return ()
+        now = self._now()
+        anchor = await asyncio.to_thread(self.service.state.anchor, now)
+        ran: list[str] = []
+        for user_id in await self.users_with_memories():
+            last = self.service.state.user(user_id).last_run_at
+            if not evolve_due(now, schedule, last, anchor):
+                continue
+            try:
+                receipt = self.service.start(user_id, trigger="scheduled")
+            except EvolveModeError:
+                break
+            await self.service.wait(receipt.run_id)
+            ran.append(user_id)
+        if ran:
+            diagnostic_event(
+                level="info",
+                component="memory.evolve",
+                event="memory_evolve.schedule_ran",
+                outcome="succeeded",
+                details={"users": len(ran)},
+            )
+        return tuple(ran)
+
+    async def _loop(self) -> None:
+        while True:
+            try:
+                await self.tick()
+            except asyncio.CancelledError:
+                raise
+            except Exception as error:  # noqa: BLE001 - the loop must survive
+                logger.warning("evolve_schedule_tick_failed error_type=%s", type(error).__name__)
+            await asyncio.sleep(self.check_seconds)
+
+    async def shutdown(self) -> None:
+        if self._task is None:
+            return
+        self._task.cancel()
+        await asyncio.gather(self._task, return_exceptions=True)
+        self._task = None
+
+
+class MemoryGraphBackfill:
+    """After a switch to ultra, project each user's existing facts into the graph once."""
+
+    def __init__(
+        self,
+        *,
+        coordinator: EvolveCoordinator,
+        state: EvolveStateStore,
+        now: Callable[[], datetime] = lambda: datetime.now(UTC),
+    ) -> None:
+        self.coordinator = coordinator
+        self.state = state
+        self._now = now
+        self._task: asyncio.Task[None] | None = None
+
+    @property
+    def running(self) -> bool:
+        return self._task is not None and not self._task.done()
+
+    def start(self, user_ids: Iterable[str]) -> GraphBuildState:
+        if self.running:
+            return self.state.graph_build()
+        users = tuple(dict.fromkeys(user_ids))
+        state = GraphBuildState(
+            state="running",
+            started_at=self._now(),
+            users={user_id: GraphBuildUser() for user_id in users},
+        )
+        self.state.set_graph_build(state)
+        self._task = asyncio.create_task(self._run(users), name="one-memory-graph-backfill")
+        return state
+
+    async def wait(self) -> None:
+        if self._task is not None:
+            await asyncio.shield(self._task)
+
+    async def _run(self, users: tuple[str, ...]) -> None:
+        state = self.state.graph_build()
+        for user_id in users:
+            state.users[user_id] = GraphBuildUser(state="running")
+            await asyncio.to_thread(self.state.set_graph_build, state.model_copy(deep=True))
+            try:
+                async with (
+                    self.coordinator.exclusive_for_evolve(user_id),
+                    self.coordinator.use_client() as client,
+                ):
+                    result = await asyncio.to_thread(
+                        client.build_memory_graph,
+                        user_id,
+                        agent_id=None,
+                        limit=10000,
+                        clear_first=False,
+                    )
+                ok = isinstance(result, Mapping) and result.get("success") is True
+                state.users[user_id] = GraphBuildUser(
+                    state="succeeded" if ok else "failed",
+                    memories_scanned=_int(result.get("memories_scanned"))
+                    if isinstance(result, Mapping)
+                    else None,
+                    nodes=_int(result.get("nodes")) if isinstance(result, Mapping) else None,
+                    error_code=None if ok else "hy_memory_graph_build_rejected",
+                )
+            except asyncio.CancelledError:
+                raise
+            except Exception as error:  # noqa: BLE001 - recorded as a stable code
+                code = safe_error_code(error)
+                state.users[user_id] = GraphBuildUser(
+                    state="failed",
+                    error_code=_stable(code, "hy_memory_graph_build_failed"),
+                )
+        failed = any(user.state == "failed" for user in state.users.values())
+        state.state = "failed" if failed else "succeeded"
+        state.finished_at = self._now()
+        await asyncio.to_thread(self.state.set_graph_build, state)
+        diagnostic_event(
+            level="warning" if failed else "info",
+            component="memory.evolve",
+            event="memory_graph_backfill.finished",
+            outcome="failed" if failed else "succeeded",
+            details={
+                "users": len(state.users),
+                "failed_users": sum(user.state == "failed" for user in state.users.values()),
+            },
+        )
+
+    async def shutdown(self) -> None:
+        if self._task is None:
+            return
+        self._task.cancel()
+        await asyncio.gather(self._task, return_exceptions=True)
+        self._task = None

memhub/apps/core/src/one_memory/memory_server/config_state.py

@@ -13,6 +13,7 @@ import threading
 from collections.abc import Mapping
 from pathlib import Path
 from tempfile import NamedTemporaryFile
+from typing import Literal
 
 from pydantic import BaseModel, ConfigDict, Field, StrictBool, field_validator
 
@@ -27,6 +28,31 @@ class SourceConfig(BaseModel):
     sync_enabled: StrictBool = False
 
 
+#: The SDK pipeline mode (hy-memory `HyMemoryClient(mode=...)`):
+#: lite keeps raw conversations only, with no model call; pro extracts
+#: memories (System 1); ultra adds the knowledge graph and evolve (System 2).
+MemoryMode = Literal["lite", "pro", "ultra"]
+MEMORY_MODES: tuple[MemoryMode, ...] = ("lite", "pro", "ultra")
+_SCHEDULE_TIME = re.compile(r"^(?:[01][0-9]|2[0-3]):[0-5][0-9]$")
+
+
+class EvolveSchedule(BaseModel):
+    """When ultra runs evolve for every user: once a day, local time."""
+
+    model_config = ConfigDict(frozen=True, extra="forbid", strict=True)
+
+    enabled: StrictBool = True
+    #: `HH:MM`, 24-hour, the machine's local time.
+    time: str = "03:00"
+
+    @field_validator("time")
+    @classmethod
+    def valid_time(cls, value: str) -> str:
+        if _SCHEDULE_TIME.fullmatch(value) is None:
+            raise ValueError("invalid_evolve_schedule_time")
+        return value
+
+
 class ConfigDocument(BaseModel):
     model_config = ConfigDict(frozen=True, extra="forbid", strict=True)
 
@@ -39,6 +65,10 @@ class ConfigDocument(BaseModel):
     #: needs no re-entry of a key.
     sedimentation_enabled: StrictBool = True
     extraction_window_preset: ExtractionWindowPreset = ExtractionWindowPreset.THREE_MONTHS
+    #: The SDK mode every client is built with. `ONE_MEMORY_GRAPH_STORE` (dev)
+    #: still forces ultra over it; see `hy_graph_admin.effective_memory_mode`.
+    memory_mode: MemoryMode = "pro"
+    evolve_schedule: EvolveSchedule = Field(default_factory=EvolveSchedule)
 
     @field_validator("sources")
     @classmethod
@@ -61,6 +91,9 @@ class ConfigFileError(RuntimeError):
     pass
 
 
+_WRITTEN_WHEN_SET = frozenset({"memory_mode", "evolve_schedule"})
+
+
 class ConfigStore:
     """The only writer of ``<data_dir>/config.json`` inside Core."""
 
@@ -107,6 +140,32 @@ class ConfigStore:
             self._document = updated
             return updated
 
+    def memory_mode(self) -> MemoryMode:
+        with self._lock:
+            return self._document.memory_mode
+
+    def set_memory_mode(self, mode: MemoryMode) -> ConfigDocument:
+        if mode not in MEMORY_MODES:
+            raise ValueError("invalid_memory_mode")
+        with self._lock:
+            updated = self._document.model_copy(update={"memory_mode": mode})
+            self._write(updated)
+            self._document = updated
+            return updated
+
+    def evolve_schedule(self) -> EvolveSchedule:
+        with self._lock:
+            return self._document.evolve_schedule
+
+    def set_evolve_schedule(self, schedule: EvolveSchedule) -> ConfigDocument:
+        if not isinstance(schedule, EvolveSchedule):
+            raise ValueError("invalid_evolve_schedule")
+        with self._lock:
+            updated = self._document.model_copy(update={"evolve_schedule": schedule})
+            self._write(updated)
+            self._document = updated
+            return updated
+
     def migrate_extraction_window_preset(self, preset: ExtractionWindowPreset) -> ConfigDocument:
         """Adopt the legacy SQL value only when config.json has no value."""
         if not isinstance(preset, ExtractionWindowPreset):
@@ -152,9 +211,12 @@ class ConfigStore:
             raise ConfigFileError("config_invalid") from error
 
     def _write(self, document: ConfigDocument) -> None:
+        # Settings added after 1.0.5 are written only once a person chose
+        # them, so an untouched install's file stays what older builds read.
+        unset = {name for name in _WRITTEN_WHEN_SET if name not in document.model_fields_set}
         payload = (
             json.dumps(
-                document.model_dump(mode="json"),
+                document.model_dump(mode="json", exclude=unset),
                 ensure_ascii=False,
                 indent=2,
                 sort_keys=True,

memhub/apps/core/src/one_memory/memory_server/durable_queue.py

@@ -2563,6 +2563,8 @@ async def execute_job(
             in {
                 "model_content_source_disabled",
                 "model_sedimentation_disabled",
+                # Evolve holds this user; the job runs once it is done.
+                "memory_evolve_in_progress",
             }
             and not hy_invoked
         ):

memhub/apps/core/src/one_memory/sdk_memory_runtime.py

@@ -5,8 +5,8 @@ from __future__ import annotations
 import asyncio
 import logging
 import re
-from collections.abc import AsyncIterator, Callable, Iterable
-from contextlib import AsyncExitStack, asynccontextmanager, suppress
+from collections.abc import AsyncIterator, Callable
+from contextlib import AsyncExitStack, asynccontextmanager
 from datetime import UTC, datetime, timedelta
 from pathlib import Path
 from typing import Any
@@ -33,16 +33,6 @@ from one_memory.semantic_deadline import SemanticMemoryHit
 _STABLE_CODE = re.compile(r"[a-z][a-z0-9_]{0,95}")
 
 logger = logging.getLogger(__name__)
-RAW_RETENTION_DAYS = 3
-RAW_RETENTION_CHECK_SECONDS = 6 * 60 * 60
-_RAW_STATUSES = (
-    "active",
-    "superseded",
-    "shadow",
-    "negated",
-    "conflicted",
-    "archived",
-)
 
 
 class SdkMemoryRuntime:
@@ -56,84 +46,17 @@ class SdkMemoryRuntime:
         write_queue: DurableWriteQueue,
         extraction_settings: ExtractionSettingsStore,
         data_dir: Path,
-        user_ids: Callable[[], Iterable[str]] = lambda: ("local",),
+        memory_mode: Callable[[], str] = lambda: "pro",
     ) -> None:
         self.coordinator = coordinator
-        #: Every user whose raw layer is kept to the retention window.
-        self.user_ids = user_ids
+        #: The SDK mode, for the graph store's path (`hy_graph_admin`).
+        self.memory_mode = memory_mode
         self.read_handle = read_handle
         self.write_queue = write_queue
         self.extraction_settings = extraction_settings
         self.data_dir = data_dir
-        self._raw_retention_task: asyncio.Task[None] | None = None
-
-    def start_raw_retention(self) -> None:
-        if self._raw_retention_task is None or self._raw_retention_task.done():
-            self._raw_retention_task = asyncio.create_task(
-                self._raw_retention_loop(),
-                name="one-memory-sdk-raw-retention",
-            )
-
-    async def prune_expired_raw(self, *, now: datetime | None = None) -> int:
-        deleted = 0
-        for user_id in dict.fromkeys(await asyncio.to_thread(lambda: tuple(self.user_ids()))):
-            deleted += await self._prune_expired_raw_for(user_id, now=now)
-        return deleted
-
-    async def _prune_expired_raw_for(self, user_id: str, *, now: datetime | None) -> int:
-        cutoff = (now or datetime.now(UTC)) - timedelta(days=RAW_RETENTION_DAYS)
-        cutoff_timestamp = int(cutoff.timestamp())
-        client = await self.read_handle.client()
-        deleted = 0
-        while True:
-            page = await asyncio.to_thread(
-                client.list_memories,
-                user_id=user_id,
-                layers=["l1_raw"],
-                statuses=list(_RAW_STATUSES),
-                order="asc",
-                limit=500,
-                offset=0,
-            )
-            bucket = page.get("vdb") if isinstance(page, dict) else None
-            rows = bucket.get("memories") if isinstance(bucket, dict) else None
-            if not isinstance(rows, list) or not rows:
-                return deleted
-            expired = [
-                row
-                for row in rows
-                if isinstance(row, dict)
-                and isinstance(row.get("memory_id"), str)
-                and int(row.get("memory_at") or row.get("gmt_created") or 0) < cutoff_timestamp
-            ]
-            if not expired:
-                return deleted
-            removed_page = 0
-            for row in expired:
-                result = await asyncio.to_thread(client.delete, row["memory_id"])
-                if isinstance(result, dict) and result.get("success") is True:
-                    count = int(result.get("deleted_count") or 0)
-                    deleted += count
-                    removed_page += count
-            if removed_page == 0:
-                return deleted
-
-    async def _raw_retention_loop(self) -> None:
-        while True:
-            await asyncio.sleep(RAW_RETENTION_CHECK_SECONDS)
-            try:
-                # Its own task, so this pass's use of the read client ends
-                # with it instead of with this loop (see `sdk_read_handle`).
-                removed = await asyncio.create_task(self.prune_expired_raw())
-                if removed:
-                    logger.info("sdk_raw_retention_deleted count=%d", removed)
-            except asyncio.CancelledError:
-                raise
-            except Exception as error:
-                logger.warning(
-                    "sdk_raw_retention_failed error_type=%s",
-                    type(error).__name__,
-                )
+        # MemHub keeps every raw the SDK stores, in every mode: there is no
+        # retention window (owner decision; the SDK itself never deletes raw).
 
     async def semantic_recall(
         self,
@@ -233,6 +156,7 @@ class SdkMemoryRuntime:
             profile,
             api_key=secret,
             data_dir=self.data_dir,
+            mode=self.memory_mode(),
         )
 
     async def decide_graph_width(
@@ -249,6 +173,7 @@ class SdkMemoryRuntime:
             api_key=secret,
             data_dir=self.data_dir,
             decision=decision,
+            mode=self.memory_mode(),
         )
 
     @asynccontextmanager
@@ -387,12 +312,7 @@ class SdkMemoryRuntime:
         return None
 
     async def shutdown(self) -> None:
-        if self._raw_retention_task is None:
-            return
-        self._raw_retention_task.cancel()
-        with suppress(asyncio.CancelledError):
-            await self._raw_retention_task
-        self._raw_retention_task = None
+        return None
 
 
 def _agent_ids(raw: object) -> tuple[str, ...]:

memhub/apps/core/src/one_memory/sdk_read_handle.py

@@ -10,14 +10,20 @@ is closed once no task still uses it, as `SdkWriteCoordinator` does for writes
 (#218). A use is the task that asked for the client: callers keep their
 `client = await handle.client()` shape, and the use ends with that task (one
 HTTP request, one retention pass).
+
+The memory mode (lite / pro / ultra) is fixed per SDK client, so a mode change
+rebuilds and retires the same way: handles are keyed by (profile, mode). The
+mode never names a collection; it is a separate client parameter.
 """
 
 from __future__ import annotations
 
 import asyncio
+from collections.abc import Callable
 from pathlib import Path
 from typing import Any
 
+from one_memory.hy_graph_admin import effective_memory_mode
 from one_memory.hy_sdk_runtime import (
     BUILTIN_RETRIEVAL_PROFILE_ID,
     SdkClientHandle,
@@ -40,12 +46,14 @@ class ActiveProfileReadHandle(SdkClientHandle):
         profiles: ModelProfileStore,
         secrets: SecretStore,
         data_dir: Path,
+        memory_mode: Callable[[], str] = effective_memory_mode,
     ) -> None:
         super().__init__(builtin_retrieval_snapshot(), api_key=None, data_dir=data_dir)
         self.profiles = profiles
         self.secrets = secrets
         self.data_dir = data_dir
-        self._handles: dict[tuple[str, int], SdkClientHandle] = {}
+        self.memory_mode = memory_mode
+        self._handles: dict[tuple[str, int, str], SdkClientHandle] = {}
         #: Tasks in flight per handle; a retired handle closes at zero.
         self._uses: dict[SdkClientHandle, int] = {}
         self._retired: set[SdkClientHandle] = set()
@@ -53,7 +61,8 @@ class ActiveProfileReadHandle(SdkClientHandle):
         self._handle_lock = asyncio.Lock()
 
     async def client(self) -> Any:
-        identity = await asyncio.to_thread(self.profiles.active_identity) or _BUILTIN
+        profile = await asyncio.to_thread(self.profiles.active_identity) or _BUILTIN
+        identity = (*profile, self.memory_mode())
         async with self._handle_lock:
             handle = self._handles.get(identity)
             if handle is None:
@@ -95,10 +104,12 @@ class ActiveProfileReadHandle(SdkClientHandle):
             self._closing.add(closing)
             closing.add_done_callback(self._closing.discard)
 
-    def _build(self, identity: tuple[str, int]) -> SdkClientHandle:
+    def _build(self, key: tuple[str, int, str]) -> SdkClientHandle:
+        profile_id, revision, mode = key
+        identity = (profile_id, revision)
         if identity == _BUILTIN:
             return SdkClientHandle(
-                builtin_retrieval_snapshot(), api_key=None, data_dir=self.data_dir
+                builtin_retrieval_snapshot(), api_key=None, data_dir=self.data_dir, mode=mode
             )
         profile = self.profiles.snapshot(*identity)
         view = retrieval_view(profile)
@@ -111,4 +122,4 @@ class ActiveProfileReadHandle(SdkClientHandle):
                 raise HySdkRuntimeError("secure_storage_unavailable") from None
             if secret is None:
                 raise HySdkRuntimeError("model_secret_unavailable")
-        return SdkClientHandle(view, api_key=secret, data_dir=self.data_dir)
+        return SdkClientHandle(view, api_key=secret, data_dir=self.data_dir, mode=mode)

memhub/apps/core/src/one_memory/sdk_write_processor.py

@@ -9,7 +9,8 @@ from dataclasses import dataclass
 from datetime import datetime
 from typing import Any
 
-from one_memory.hy_sdk_runtime import SdkClientHandle
+from one_memory.hy_graph_admin import effective_memory_mode
+from one_memory.hy_sdk_runtime import SdkClientHandle, builtin_retrieval_snapshot
 from one_memory.imports.models import EvidenceContentKind, EvidenceOrigin, EvidenceRecord
 from one_memory.input_sanitization import sanitize_model_input
 from one_memory.model_profiles import ModelProfileSnapshot, ModelProfileStore
@@ -31,8 +32,11 @@ class SdkWriteReceipt:
 class SdkWriteProcessor:
     """Turn one durable job into exactly one public SDK write call."""
 
-    def __init__(self, client_handle: SdkClientHandle) -> None:
+    def __init__(self, client_handle: SdkClientHandle, *, lite: bool = False) -> None:
         self._client_handle = client_handle
+        #: lite makes no model call: `add_extracted` would still call one, so a
+        #: direct memory note is stored as one raw user turn through `add`.
+        self._lite = lite
 
     async def process_sdk_job(
         self,
@@ -64,7 +68,7 @@ class SdkWriteProcessor:
             # waits and retries instead of being left `unknown`.
             raise RuntimeError("hy_memory_client_unavailable") from error
 
-        if extracted:
+        if extracted and not self._lite:
             contents = [sanitize_model_input(record.verbatim) for record in records]
             await before_hy_invocation()
             result = await asyncio.to_thread(
@@ -81,12 +85,15 @@ class SdkWriteProcessor:
         else:
             messages = [
                 {
-                    "role": record.role,
+                    "role": "user" if extracted else record.role,
                     "content": sanitize_model_input(record.verbatim),
                 }
                 for record in records
-                if record.content_kind is EvidenceContentKind.RAW_CONVERSATION
-                and record.role in _MESSAGE_ROLES
+                if extracted
+                or (
+                    record.content_kind is EvidenceContentKind.RAW_CONVERSATION
+                    and record.role in _MESSAGE_ROLES
+                )
             ]
             if not messages:
                 raise RuntimeError("hy_memory_task_without_inputs")
@@ -138,6 +145,15 @@ class SdkWriteCoordinator:
     from under a write still running on it: the SDK cleared its stores and
     the SharedRuntime closed mid-`add`, the job failed with AttributeError
     after HY was invoked, and it was left `unknown`.
+
+    Handles are keyed by profile and memory mode, so a mode change retires
+    handles the same way. In lite no generation model is needed: without an
+    active profile the built-in local embedder writes raw turns.
+
+    `exclusive_for_evolve(user_id)` keeps evolve and that user's writes
+    apart: it waits for the user's write in flight, and while it runs that
+    user's jobs are refused before the SDK is called
+    (`memory_evolve_in_progress`), so the drain puts them back.
     """
 
     def __init__(
@@ -148,13 +164,22 @@ class SdkWriteCoordinator:
         data_dir: Any,
         transport_factory: Callable[[ModelProfileSnapshot], Callable[[], Any] | None],
         sedimentation_enabled: Callable[[], bool],
+        memory_mode: Callable[[], str] = effective_memory_mode,
     ) -> None:
         self.profiles = profiles
         self.secrets = secrets
         self.data_dir = data_dir
         self.transport_factory = transport_factory
         self.sedimentation_enabled = sedimentation_enabled
-        self._handles: dict[tuple[str, int], SdkClientHandle] = {}
+        self.memory_mode = memory_mode
+        self._handles: dict[tuple[str, int, str], SdkClientHandle] = {}
+        #: Users evolve (or the graph backfill) is running for, the writes in
+        #: flight per user, and one exclusive run per user at a time. Writes
+        #: of one user still run side by side; only evolve waits for them.
+        self._evolving: set[str] = set()
+        self._writing: dict[str, int] = {}
+        self._writes_idle = asyncio.Condition()
+        self._exclusive: dict[str, asyncio.Lock] = {}
         #: Uses in flight per handle; a retired handle closes at zero.
         self._uses: dict[SdkClientHandle, int] = {}
         self._retired: set[SdkClientHandle] = set()
@@ -169,16 +194,66 @@ class SdkWriteCoordinator:
     ) -> SdkWriteReceipt:
         if not self.sedimentation_enabled():
             raise RuntimeError("model_sedimentation_disabled")
-        async with self._active_handle() as handle:
-            return await SdkWriteProcessor(handle).process_sdk_job(
-                records,
-                request_id=request_id,
-                before_hy_invocation=before_hy_invocation,
-            )
+        user_id = records[0].user_id if records else "local"
+        if user_id in self._evolving:
+            # Before any SDK call: the drain returns the job to pending.
+            raise RuntimeError("memory_evolve_in_progress")
+        self._writing[user_id] = self._writing.get(user_id, 0) + 1
+        try:
+            async with self._active_handle() as handle:
+                return await SdkWriteProcessor(
+                    handle, lite=getattr(handle, "mode", None) == "lite"
+                ).process_sdk_job(
+                    records,
+                    request_id=request_id,
+                    before_hy_invocation=before_hy_invocation,
+                )
+        finally:
+            remaining = self._writing.get(user_id, 1) - 1
+            if remaining > 0:
+                self._writing[user_id] = remaining
+            else:
+                self._writing.pop(user_id, None)
+            async with self._writes_idle:
+                self._writes_idle.notify_all()
 
-    async def inquire_write_outcome(
-        self, request_id: str
-    ) -> SdkWriteReceipt | None:
+    async def retire_stale_modes(self) -> None:
+        """After a mode change: retire handles of other modes, closing the idle ones.
+
+        A handle still writing is closed when its last use ends (#218), so a
+        write that started in the old mode finishes in it.
+        """
+        mode = self.memory_mode()
+        async with self._lock:
+            stale = {key: handle for key, handle in self._handles.items() if key[2] != mode}
+            for key in stale:
+                del self._handles[key]
+            self._retired.update(stale.values())
+            unused = {value for value in self._retired if not self._uses.get(value)}
+            self._retired -= unused
+        await asyncio.gather(*(value.close() for value in unused))
+
+    def evolving(self, user_id: str) -> bool:
+        """Whether evolve holds this user, so their queued writes should wait."""
+        return user_id in self._evolving
+
+    @asynccontextmanager
+    async def exclusive_for_evolve(self, user_id: str) -> AsyncIterator[None]:
+        """Hold one user's writes off while evolve runs for them.
+
+        New writes of the user are refused from here on; the ones already in
+        flight are waited for before the body runs.
+        """
+        async with self._exclusive.setdefault(user_id, asyncio.Lock()):
+            self._evolving.add(user_id)
+            try:
+                async with self._writes_idle:
+                    await self._writes_idle.wait_for(lambda: not self._writing.get(user_id))
+                yield
+            finally:
+                self._evolving.discard(user_id)
+
+    async def inquire_write_outcome(self, request_id: str) -> SdkWriteReceipt | None:
         async with self._active_handle() as handle:
             return await SdkWriteProcessor(handle).inquire_write_outcome(request_id)
 
@@ -204,9 +279,11 @@ class SdkWriteCoordinator:
     @asynccontextmanager
     async def _active_handle(self) -> AsyncIterator[SdkClientHandle]:
         """Use the active profile's handle; retire the others, closing the unused."""
-        identity, profile, secret = await asyncio.to_thread(
-            self._read_active_credentials
+        mode = self.memory_mode()
+        profile_identity, profile, secret = await asyncio.to_thread(
+            self._read_active_credentials, mode
         )
+        identity = (*profile_identity, mode)
         async with self._lock:
             handle = self._handles.get(identity)
             if handle is None:
@@ -215,6 +292,7 @@ class SdkWriteCoordinator:
                     api_key=secret,
                     data_dir=self.data_dir,
                     http_transport_factory=self.transport_factory(profile),
+                    mode=mode,
                 )
                 self._handles[identity] = handle
             self._retired.update(value for key, value in self._handles.items() if key != identity)
@@ -239,9 +317,14 @@ class SdkWriteCoordinator:
 
     def _read_active_credentials(
         self,
+        mode: str = "pro",
     ) -> tuple[tuple[str, int], ModelProfileSnapshot, str | None]:
         identity = self.profiles.active_identity()
         if identity is None:
+            if mode == "lite":
+                # lite stores raw turns with one embedding and calls no model.
+                builtin = builtin_retrieval_snapshot()
+                return (builtin.profile_id, builtin.revision), builtin, None
             raise RuntimeError("model_profile_not_active")
         profile = self.profiles.snapshot(*identity)
         try:

memhub/apps/core/tests/TEST_INDEX.md

@@ -161,6 +161,7 @@
 | `test_memory_evidence_freshness.py` | `contract` | 新鲜度拆除后：读路径恒为 current；证据修订 / 畸形 proof / segment ref 不再藏记忆或 503。 |
 | `test_memory_freshness_integration_review.py` | `integration` | Independent synthetic read-path review; no lifespan, model or user database. |
 | `test_memory_library_all_scenes.py` | `integration` | The v2 memory library across chat, working and coding memories. |
+| `test_memory_mode_and_evolve.py` | `contract` | The memory mode (lite / pro / ultra), evolve and its nightly schedule. |
 | `test_memory_qa.py` | `contract` | 覆盖 search terms keep meaningful single chinese character、streamed answer emits recall then incremental grounded text、governance change during generation stops the old answer 等 14 个场景。 |
 | `test_memory_qa_api.py` | `integration` | 覆盖 ask stream endpoint emits recall deltas and final、ask stream endpoint requires the local token 场景。 |
 | `test_memory_qa_permissions.py` | `contract` | 覆盖 initial refusal precedes all secret access and network、invalid authorization result fails before secret access、authorization receives exact question and only outbound grounding 等 16 个场景。 |
@@ -312,4 +313,4 @@
 | `test_workspace_recall.py` | `contract` | Workspace memories were unreachable from every host; these pin the way in. |
 | `test_write_queue_lease_renewal.py` | `contract` | Rule 8: a lease must outlive the work it covers, and be renewed while it runs. |
 
-共 307 个测试文件。
+共 308 个测试文件。

memhub/apps/core/tests/core_test_classification.py

@@ -14,8 +14,8 @@ from pathlib import Path
 import pytest
 
 PRIMARY_MARKERS = ("unit", "contract", "integration", "performance", "live")
-EXPECTED_TEST_FILE_COUNT = 307
-EXPECTED_TEST_FILES_SHA256 = "96a9ed11e358791723fb5ad827f72da2e9caeb673841119a5d9856a2d76fd5b1"
+EXPECTED_TEST_FILE_COUNT = 308
+EXPECTED_TEST_FILES_SHA256 = "3aadf5953e41c01d4b60469f47242c00d2acef3c42550aa017255e31d216b589"
 
 # Pure transformations, validation models, parity checks and state machines.
 # This list is intentionally small: uncertain files default to contract.

memhub/apps/core/tests/test_core_ready_before_recovery.py

@@ -164,7 +164,7 @@ def test_metadata_repair_never_overlaps_an_sdk_client(tmp_path, monkeypatch):
         events.append("repair_finished")
         return MetadataRepairResult(None, 0, 0, 0)
 
-    def open_client(profile, *, api_key, data_dir, http_transport_factory):
+    def open_client(profile, *, api_key, data_dir, http_transport_factory, mode="pro"):
         events.append("client_opened")
         return ClientLease(object(), data_dir.resolve())
 

memhub/apps/core/tests/test_memory_mode_and_evolve.py

@@ -0,0 +1,861 @@
+"""The memory mode (lite / pro / ultra), evolve and its nightly schedule.
+
+Item 5: the mode is a saved setting (default pro, `ONE_MEMORY_GRAPH_STORE`
+still forces ultra), it decides the mode every SDK client is built with, and
+a change rebuilds the handles. lite needs no generation model, never calls
+`add_extracted`, and keeps every raw. Item 6 (P1-3 / R7): `POST
+/api/v2/evolve` is ultra only, one run per user at a time, never beside that
+user's write, and loops while the SDK says `should_continue`; the schedule
+runs nightly and catches up after sleep. R10: the status carries
+`pipeline.mode` and the last evolve.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import json
+from contextlib import asynccontextmanager
+from datetime import UTC, datetime, timedelta
+from pathlib import Path
+from types import SimpleNamespace
+from uuid import uuid4
+
+import pytest
+from httpx import ASGITransport, AsyncClient
+from pydantic import SecretStr
+
+from one_memory import hy_sdk_runtime, sdk_write_processor
+from one_memory.api import _sdk_client_handle, create_app, memory_mode_effects
+from one_memory.config import Settings
+from one_memory.hy_graph_admin import effective_memory_mode
+from one_memory.imports.models import (
+    EvidenceContentKind,
+    EvidenceInput,
+    EvidenceOrigin,
+    OriginMetadata,
+    WrittenBy,
+    materialize_write_input,
+)
+from one_memory.memory_evolution import (
+    EvolveModeError,
+    EvolveScheduler,
+    EvolveService,
+    EvolveStateStore,
+    MemoryGraphBackfill,
+    evolve_due,
+)
+from one_memory.memory_server.config_state import ConfigStore, EvolveSchedule
+from one_memory.sdk_memory_runtime import SdkMemoryRuntime
+from one_memory.secrets import InMemorySecretStore
+
+TOKEN = "memory-mode-test"
+
+
+# --- the setting and the client mode -----------------------------------------
+
+
+def test_mode_defaults_to_pro_and_the_env_still_forces_ultra(tmp_path, monkeypatch) -> None:
+    monkeypatch.delenv("ONE_MEMORY_GRAPH_STORE", raising=False)
+    store = ConfigStore(tmp_path)
+    assert store.memory_mode() == "pro"
+    assert effective_memory_mode(store.memory_mode()) == "pro"
+    store.set_memory_mode("lite")
+    assert ConfigStore(tmp_path).memory_mode() == "lite"
+    assert json.loads((tmp_path / "config.json").read_text())["memory_mode"] == "lite"
+    monkeypatch.setenv("ONE_MEMORY_GRAPH_STORE", "kuzu")
+    assert effective_memory_mode("lite") == "ultra"
+    monkeypatch.setenv("ONE_MEMORY_GRAPH_STORE", "none")
+    assert effective_memory_mode("lite") == "lite"
+    with pytest.raises(ValueError):
+        store.set_memory_mode("max")  # type: ignore[arg-type]
+
+
+def test_an_untouched_install_writes_no_new_settings(tmp_path) -> None:
+    store = ConfigStore(tmp_path)
+    store.set_sync("cursor", True)
+    saved = json.loads((tmp_path / "config.json").read_text())
+    assert "memory_mode" not in saved and "evolve_schedule" not in saved
+
+
+def test_acquire_client_builds_the_sdk_client_in_the_given_mode(tmp_path, monkeypatch) -> None:
+    built: list[str] = []
+
+    class Client:
+        def __init__(self, *, config, mode, runtime, embedding_service):
+            built.append(mode)
+
+        def close(self):
+            return None
+
+    monkeypatch.setattr(hy_sdk_runtime, "HyMemoryClient", Client)
+    monkeypatch.setattr(hy_sdk_runtime, "_acquire_runtime", lambda config, key: object())
+    monkeypatch.setattr(hy_sdk_runtime, "_release_runtime", lambda key: None)
+    monkeypatch.setattr(hy_sdk_runtime, "inspect_graph_width_mismatch", lambda config: None)
+    monkeypatch.delenv("ONE_MEMORY_GRAPH_STORE", raising=False)
+    profile = hy_sdk_runtime.builtin_retrieval_snapshot()
+    for mode in ("lite", "pro", "ultra"):
+        hy_sdk_runtime.acquire_client(profile, api_key=None, data_dir=tmp_path, mode=mode).close()
+    hy_sdk_runtime.acquire_client(profile, api_key=None, data_dir=tmp_path).close()
+    monkeypatch.setenv("ONE_MEMORY_GRAPH_STORE", "kuzu")
+    hy_sdk_runtime.acquire_client(profile, api_key=None, data_dir=tmp_path).close()
+    assert built == ["lite", "pro", "ultra", "pro", "ultra"]
+
+
+def test_the_read_handle_rebuilds_on_a_mode_or_profile_change(monkeypatch, tmp_path) -> None:
+    """Reads follow the active profile's embedding (#255) and the memory mode."""
+    from one_memory import sdk_read_handle
+
+    modes = ["pro"]
+    made: list[_FakeHandle] = []
+
+    def handle_for(profile, *, api_key, data_dir, mode=None):
+        handle = _FakeHandle(mode or "pro", profile.profile_id)
+        made.append(handle)
+        return handle
+
+    monkeypatch.setattr(sdk_read_handle, "SdkClientHandle", handle_for)
+    profiles = _Profiles(identity=None)
+    reads = sdk_read_handle.ActiveProfileReadHandle(
+        profiles=profiles,  # type: ignore[arg-type]
+        secrets=None,  # type: ignore[arg-type]
+        data_dir=tmp_path,
+        memory_mode=lambda: modes[0],
+    )
+
+    async def read():
+        return await reads.client()
+
+    async def scenario():
+        first = await asyncio.create_task(read())
+        assert (first.mode, first.profile_id) == ("pro", "builtin-retrieval")
+        modes[0] = "lite"
+        # A read still in flight on the old client keeps it open.
+        hold = asyncio.Event()
+        holding_client = asyncio.Event()
+
+        async def holding():
+            await reads.client()
+            holding_client.set()
+            await hold.wait()
+
+        modes[0] = "pro"
+        holder = asyncio.create_task(holding())
+        await asyncio.wait_for(holding_client.wait(), 5)
+        modes[0] = "lite"
+        try:
+            assert (await asyncio.create_task(read())).mode == "lite"
+            assert not made[0].closed
+        finally:
+            hold.set()
+            await holder
+        for _ in range(10):
+            await asyncio.sleep(0)
+        assert made[0].closed
+        assert [item.mode for item in made] == ["pro", "lite"]
+        await reads.close()
+        assert made[1].closed
+
+    asyncio.run(scenario())
+
+
+class _FakeHandle:
+    def __init__(self, mode: str, profile_id: str = "p") -> None:
+        self.mode = mode
+        self.profile_id = profile_id
+        self.closed = False
+
+    async def client(self):
+        return self
+
+    async def close(self):
+        self.closed = True
+
+
+class _Profiles:
+    def __init__(self, identity=("profile-a", 1)) -> None:
+        self.identity = identity
+
+    def active_identity(self):
+        return self.identity
+
+    def snapshot(self, profile_id, revision):
+        return SimpleNamespace(profile_id=profile_id, has_api_key=False)
+
+    def resolve_snapshot_secret(self, profile_id, revision, secrets):
+        return None
+
+
+def _coordinator(monkeypatch, modes, profiles=None):
+    opened: list[_FakeHandle] = []
+
+    def handle(profile, **kwargs):
+        value = _FakeHandle(kwargs.get("mode") or "pro", profile.profile_id)
+        opened.append(value)
+        return value
+
+    monkeypatch.setattr(sdk_write_processor, "SdkClientHandle", handle)
+    coordinator = sdk_write_processor.SdkWriteCoordinator(
+        profiles=profiles or _Profiles(),  # type: ignore[arg-type]
+        secrets=None,  # type: ignore[arg-type]
+        data_dir=None,
+        transport_factory=lambda _profile: None,
+        sedimentation_enabled=lambda: True,
+        memory_mode=lambda: modes[0],
+    )
+    return coordinator, opened
+
+
+def test_a_mode_change_retires_idle_write_handles_and_keeps_a_busy_one(monkeypatch) -> None:
+    modes = ["pro"]
+    coordinator, opened = _coordinator(monkeypatch, modes)
+
+    async def scenario():
+        async with coordinator.use_client() as client:
+            assert client.mode == "pro"
+            modes[0] = "ultra"
+            await coordinator.retire_stale_modes()
+            # Still in use: closed only when this use ends (#218).
+            assert not opened[0].closed
+        assert opened[0].closed
+        async with coordinator.use_client() as client:
+            assert client.mode == "ultra"
+        modes[0] = "lite"
+        await coordinator.retire_stale_modes()
+        assert opened[1].closed
+        await coordinator.close()
+
+    asyncio.run(scenario())
+
+
+def test_lite_needs_no_generation_model(monkeypatch) -> None:
+    modes = ["lite"]
+    coordinator, opened = _coordinator(monkeypatch, modes, _Profiles(identity=None))
+
+    async def scenario():
+        async with coordinator.use_client() as client:
+            assert client.mode == "lite"
+            assert client.profile_id == hy_sdk_runtime.BUILTIN_RETRIEVAL_PROFILE_ID
+        modes[0] = "pro"
+        with pytest.raises(RuntimeError, match="model_profile_not_active"):
+            async with coordinator.use_client():
+                pass
+        await coordinator.close()
+
+    asyncio.run(scenario())
+
+
+def _record(text: str, *, extracted: bool, user_id: str = "local", role: str = "user"):
+    record = materialize_write_input(
+        EvidenceInput(
+            user_id=user_id,
+            source_id="one-memory-manual" if extracted else "hermes",
+            conversation_id="session-1",
+            message_id=str(uuid4()),
+            role=role,
+            written_by=WrittenBy.PERSON,
+            created_at=datetime(2026, 10, 1, tzinfo=UTC),
+            verbatim=text,
+            origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
+        )
+    )
+    if extracted:
+        record = record.model_copy(update={"content_kind": EvidenceContentKind.MEMORY_CONTENT})
+    return record
+
+
+class _WritingSdk:
+    def __init__(self) -> None:
+        self.calls: list[tuple[str, object]] = []
+
+    def add(self, messages, **kwargs):
+        self.calls.append(("add", messages))
+        return {"success": True, "raw_ids": ["raw-1"]}
+
+    def add_extracted(self, contents, **kwargs):
+        self.calls.append(("add_extracted", contents))
+        return {"success": True, "memory_ids": ["m-1"]}
+
+
+class _SdkHandle:
+    def __init__(self, sdk, mode="pro") -> None:
+        self.sdk = sdk
+        self.mode = mode
+
+    async def client(self):
+        return self.sdk
+
+    async def close(self):
+        return None
+
+
+async def _noop() -> None:
+    return None
+
+
+def test_a_note_in_lite_is_stored_as_raw_and_never_calls_add_extracted() -> None:
+    sdk = _WritingSdk()
+    note = (_record("I prefer green tea", extracted=True),)
+
+    async def scenario():
+        await sdk_write_processor.SdkWriteProcessor(_SdkHandle(sdk), lite=True).process_sdk_job(
+            note, request_id="r-lite", before_hy_invocation=_noop
+        )
+        await sdk_write_processor.SdkWriteProcessor(_SdkHandle(sdk)).process_sdk_job(
+            note, request_id="r-pro", before_hy_invocation=_noop
+        )
+
+    asyncio.run(scenario())
+    assert sdk.calls == [
+        ("add", [{"role": "user", "content": "I prefer green tea"}]),
+        ("add_extracted", ["I prefer green tea"]),
+    ]
+
+
+def test_a_lite_write_runs_through_the_coordinator_without_a_model(monkeypatch) -> None:
+    sdk = _WritingSdk()
+    coordinator = sdk_write_processor.SdkWriteCoordinator(
+        profiles=_Profiles(identity=None),  # type: ignore[arg-type]
+        secrets=None,  # type: ignore[arg-type]
+        data_dir=None,
+        transport_factory=lambda _profile: None,
+        sedimentation_enabled=lambda: True,
+        memory_mode=lambda: "lite",
+    )
+    monkeypatch.setattr(
+        sdk_write_processor, "SdkClientHandle", lambda profile, **kwargs: _SdkHandle(sdk, "lite")
+    )
+    turn = (
+        _record("hello", extracted=False),
+        _record("hi there", extracted=False, role="assistant"),
+    )
+    receipt = asyncio.run(
+        coordinator.process_sdk_job(turn, request_id="r-1", before_hy_invocation=_noop)
+    )
+    assert receipt.raw_ids == ("raw-1",)
+    assert [name for name, _ in sdk.calls] == ["add"]
+
+
+def test_no_raw_is_ever_deleted_in_any_mode() -> None:
+    """Owner decision: MemHub keeps every raw; there is no retention window."""
+    from one_memory import sdk_memory_runtime
+
+    for name in ("prune_expired_raw", "start_raw_retention", "_raw_retention_loop"):
+        assert not hasattr(SdkMemoryRuntime, name), name
+    assert not hasattr(sdk_memory_runtime, "RAW_RETENTION_DAYS")
+
+
+def test_mode_switch_effects() -> None:
+    assert memory_mode_effects("lite", "pro") == (
+        "earlier_raw_not_extracted",
+        "lite_search_stops",
+    )
+    assert memory_mode_effects("ultra", "pro") == ("higher_mode_memories_hidden", "evolve_stopped")
+    assert memory_mode_effects("pro", "ultra", graph_backfill=True) == (
+        "existing_memories_added_to_graph",
+    )
+    assert memory_mode_effects("pro", "ultra", graph_backfill=False) == (
+        "graph_backfill_already_running",
+    )
+    assert memory_mode_effects("pro", "lite") == ("higher_mode_memories_hidden",)
+    assert memory_mode_effects("pro", "pro") == ()
+
+
+# --- evolve ---------------------------------------------------------------------
+
+
+class _EvolveSdk:
+    """`evolve` answers `should_continue` for the first rounds, then stops."""
+
+    def __init__(self, continuing: int = 2, *, gate: asyncio.Event | None = None) -> None:
+        self.calls: list[dict] = []
+        self.continuing = continuing
+        self.gate = gate
+        self.graph_builds: list[str] = []
+        self.active = 0
+        self.peak = 0
+
+    def evolve(self, user_id, agent_id="default_agent", max_batches=None):
+        self.active += 1
+        self.peak = max(self.peak, self.active)
+        try:
+            self.calls.append(
+                {"user_id": user_id, "agent_id": agent_id, "max_batches": max_batches}
+            )
+            more = len([call for call in self.calls if call["user_id"] == user_id]) <= (
+                self.continuing
+            )
+            return {
+                "success": True,
+                "request_id": f"evolve-{len(self.calls)}",
+                "tasks_processed": 2,
+                "results": {"schemas": ["private text"]},
+                "cross_domain_sweeper": {"merged": 1},
+                "should_continue": more,
+                "continuation_reason": "remaining_clusters" if more else None,
+                "remaining_clusters": 3 if more else 0,
+                "remaining_actionable_clusters": 1 if more else 0,
+                "remaining_fresh_facts": 0,
+                "cycle_status": "partial" if more else "complete",
+                "batch_failures": [],
+                "elapsed_ms": 5.0,
+            }
+        finally:
+            self.active -= 1
+
+    def build_memory_graph(self, user_id, *, agent_id=None, limit=10000, clear_first=False):
+        self.graph_builds.append(user_id)
+        return {"success": True, "memories_scanned": 4, "nodes": 4}
+
+
+class _Coordinator:
+    """The real per-user exclusivity over a stand-in client."""
+
+    def __init__(self, sdk, monkeypatch) -> None:
+        self.inner, _ = _coordinator(monkeypatch, ["ultra"])
+        self.sdk = sdk
+
+    def exclusive_for_evolve(self, user_id):
+        return self.inner.exclusive_for_evolve(user_id)
+
+    @asynccontextmanager
+    async def use_client(self):
+        yield self.sdk
+
+
+def test_evolve_refuses_outside_ultra(tmp_path, monkeypatch) -> None:
+    service = EvolveService(
+        coordinator=_Coordinator(_EvolveSdk(), monkeypatch),
+        state=EvolveStateStore(tmp_path),
+        memory_mode=lambda: "pro",
+    )
+
+    async def scenario():
+        with pytest.raises(EvolveModeError):
+            service.start("local")
+
+    asyncio.run(scenario())
+
+
+def test_evolve_loops_while_should_continue_and_records_counts_only(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk(continuing=2)
+    state = EvolveStateStore(tmp_path)
+    service = EvolveService(
+        coordinator=_Coordinator(sdk, monkeypatch), state=state, memory_mode=lambda: "ultra"
+    )
+
+    async def scenario():
+        started = service.start("wife", max_batches=2)
+        assert started.state == "running"
+        done = await service.wait(started.run_id)
+        assert done is not None
+        return done
+
+    done = asyncio.run(scenario())
+    assert done.state == "succeeded" and done.rounds == 3 and done.tasks_processed == 6
+    assert done.cycle_status == "complete" and done.should_continue is False
+    assert {call["agent_id"] for call in sdk.calls} == {"all-apps"}
+    assert {call["max_batches"] for call in sdk.calls} == {2}
+    saved = (tmp_path / "evolve-state.json").read_text()
+    assert "private text" not in saved
+    assert json.loads(saved)["users"]["wife"]["last_result"]["rounds"] == 3
+
+
+def test_evolve_stops_at_the_round_cap(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk(continuing=100)
+    service = EvolveService(
+        coordinator=_Coordinator(sdk, monkeypatch),
+        state=EvolveStateStore(tmp_path),
+        memory_mode=lambda: "ultra",
+        max_rounds=4,
+    )
+
+    async def scenario():
+        return await service.wait(service.start("local").run_id)
+
+    done = asyncio.run(scenario())
+    assert done is not None and done.rounds == 4 and done.capped is True
+    assert done.state == "succeeded"
+
+
+def test_one_run_per_user_and_never_beside_that_users_write(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk(continuing=0)
+    coordinator = _Coordinator(sdk, monkeypatch)
+    service = EvolveService(
+        coordinator=coordinator, state=EvolveStateStore(tmp_path), memory_mode=lambda: "ultra"
+    )
+    writing = asyncio.Event()
+    release = asyncio.Event()
+
+    async def fake_write(self, records, *, request_id, before_hy_invocation):
+        writing.set()
+        await release.wait()
+        return sdk_write_processor.SdkWriteReceipt()
+
+    monkeypatch.setattr(sdk_write_processor.SdkWriteProcessor, "process_sdk_job", fake_write)
+    record = (_record("hello", extracted=False, user_id="wife"),)
+
+    async def scenario():
+        inner = coordinator.inner
+        write = asyncio.create_task(
+            inner.process_sdk_job(record, request_id="w", before_hy_invocation=_noop)
+        )
+        await writing.wait()
+        first = service.start("wife")
+        again = service.start("wife")
+        assert again.run_id == first.run_id
+        other = service.start("local")
+        await service.wait(other.run_id)
+        # The other user is not held; wife's run waits for wife's write.
+        assert sdk.calls and {call["user_id"] for call in sdk.calls} == {"local"}
+        assert inner.evolving("wife")
+        with pytest.raises(RuntimeError, match="memory_evolve_in_progress"):
+            await inner.process_sdk_job(record, request_id="w2", before_hy_invocation=_noop)
+        release.set()
+        await write
+        done = await service.wait(first.run_id)
+        assert done is not None and done.state == "succeeded"
+        assert not inner.evolving("wife")
+        assert sdk.peak == 1
+
+    asyncio.run(scenario())
+
+
+def test_a_failed_round_records_its_code(tmp_path, monkeypatch) -> None:
+    class Failing(_EvolveSdk):
+        def evolve(self, user_id, agent_id="default_agent", max_batches=None):
+            return {
+                "success": False,
+                "error_code": "schema_llm_failed",
+                "failure_kind": "llm_error",
+                "error_message": "the provider said something private",
+            }
+
+    state = EvolveStateStore(tmp_path)
+    service = EvolveService(
+        coordinator=_Coordinator(Failing(), monkeypatch), state=state, memory_mode=lambda: "ultra"
+    )
+    done = asyncio.run(service.wait(_start(service, "local")))
+    assert done is not None and done.state == "failed"
+    assert done.error_code == "schema_llm_failed" and done.failure_kind == "llm_error"
+    assert state.user("local").last_error == "schema_llm_failed"
+    assert "private" not in (tmp_path / "evolve-state.json").read_text()
+
+
+def _start(service: EvolveService, user_id: str) -> str:
+    async def begin() -> str:
+        return service.start(user_id).run_id
+
+    loop = asyncio.new_event_loop()
+    try:
+        run_id = loop.run_until_complete(begin())
+        loop.run_until_complete(service.wait(run_id))
+    finally:
+        loop.close()
+    return run_id
+
+
+# --- the nightly schedule -------------------------------------------------------
+
+LOCAL = datetime.now().astimezone().tzinfo
+
+
+def _at(day: int, hour: int, minute: int = 0) -> datetime:
+    return datetime(2026, 11, day, hour, minute, tzinfo=LOCAL)
+
+
+def test_evolve_is_due_after_the_slot_once_a_day_and_catches_up_after_sleep() -> None:
+    schedule = EvolveSchedule()
+    anchor = _at(1, 12)
+    # Never ran: not at noon on the day ultra was enabled, then at 03:00 next day.
+    assert not evolve_due(_at(1, 13), schedule, None, anchor)
+    assert not evolve_due(_at(2, 2, 59), schedule, None, anchor)
+    assert evolve_due(_at(2, 3, 0), schedule, None, anchor)
+    # Ran at 03:00: not again that day, due again the next night.
+    assert not evolve_due(_at(2, 22), schedule, _at(2, 3, 1), anchor)
+    assert evolve_due(_at(3, 3, 5), schedule, _at(2, 3, 1), anchor)
+    # Asleep at 03:00: a run older than the slot is due on wake, the same day.
+    assert evolve_due(_at(3, 9), schedule, _at(2, 3, 1), anchor)
+    # Last run more than 24h ago is due even before today's slot.
+    assert evolve_due(_at(4, 1), schedule, _at(2, 3, 1), anchor)
+    assert not evolve_due(_at(3, 1), schedule, _at(2, 3, 1), anchor)
+    # Moved and turned off.
+    assert evolve_due(_at(2, 23, 30), EvolveSchedule(time="23:30"), _at(2, 3), anchor)
+    assert not evolve_due(_at(3, 9), EvolveSchedule(enabled=False), _at(1, 3), anchor)
+
+
+def test_the_scheduler_runs_each_due_user_once_in_ultra_only(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk(continuing=0)
+    state = EvolveStateStore(tmp_path)
+    modes = ["pro"]
+    clock = [_at(1, 12)]
+    service = EvolveService(
+        coordinator=_Coordinator(sdk, monkeypatch),
+        state=state,
+        memory_mode=lambda: modes[0],
+        now=lambda: clock[0],
+    )
+    schedule = [EvolveSchedule()]
+
+    async def users():
+        return ("local", "wife")
+
+    scheduler = EvolveScheduler(
+        service=service,
+        schedule=lambda: schedule[0],
+        users_with_memories=users,
+        now=lambda: clock[0],
+    )
+
+    async def scenario():
+        assert await scheduler.tick() == ()  # pro: nothing
+        modes[0] = "ultra"
+        assert await scheduler.tick() == ()  # anchored at noon
+        clock[0] = _at(2, 3, 2)
+        assert await scheduler.tick() == ("local", "wife")
+        assert await scheduler.tick() == ()  # once a night
+        clock[0] = _at(3, 8)  # slept through 03:00
+        assert await scheduler.tick() == ("local", "wife")
+        schedule[0] = EvolveSchedule(enabled=False)
+        clock[0] = _at(5, 8)
+        assert await scheduler.tick() == ()
+
+    asyncio.run(scenario())
+    assert [call["user_id"] for call in sdk.calls] == ["local", "wife", "local", "wife"]
+    assert state.user("wife").last_result["trigger"] == "scheduled"
+
+
+def test_the_graph_backfill_runs_once_per_user(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk()
+    state = EvolveStateStore(tmp_path)
+    backfill = MemoryGraphBackfill(coordinator=_Coordinator(sdk, monkeypatch), state=state)
+
+    async def scenario():
+        backfill.start(["local", "wife", "local"])
+        await backfill.wait()
+
+    asyncio.run(scenario())
+    assert sdk.graph_builds == ["local", "wife"]
+    built = state.graph_build()
+    assert built.state == "succeeded"
+    assert {user: value.state for user, value in built.users.items()} == {
+        "local": "succeeded",
+        "wife": "succeeded",
+    }
+
+
+# --- the HTTP surface -----------------------------------------------------------
+
+
+def application(tmp_path: Path):
+    settings = Settings(
+        data_dir=tmp_path / "data",
+        source_home=tmp_path,
+        api_token=SecretStr(TOKEN),
+        imports_enabled=False,
+        automatic_memory_processing=False,
+        live_sync_enabled=False,
+    )
+    return create_app(settings, secret_store=InMemorySecretStore())
+
+
+def client_for(app) -> AsyncClient:
+    return AsyncClient(
+        transport=ASGITransport(app=app),
+        base_url="http://test",
+        headers={"Authorization": f"Bearer {TOKEN}"},
+    )
+
+
+class _ReadSdk(_EvolveSdk):
+    def memory_stats(self, *, user_id, statuses=None):
+        return {"total": 1, "scenes": {}}
+
+
+def run_app(tmp_path, monkeypatch, scenario) -> None:
+    monkeypatch.delenv("ONE_MEMORY_GRAPH_STORE", raising=False)
+
+    async def main() -> None:
+        app = application(tmp_path)
+        sdk = _ReadSdk(continuing=1)
+
+        @asynccontextmanager
+        async def write_client():
+            yield sdk
+
+        async with app.router.lifespan_context(app):
+            monkeypatch.setattr(app.state.sdk_write_coordinator, "use_client", write_client)
+            async with client_for(app) as client:
+                await scenario(app, sdk, client)
+
+    asyncio.run(main())
+
+
+@pytest.mark.fresh_sdk
+def test_mode_api_get_put_and_its_effects(tmp_path, monkeypatch) -> None:
+    async def scenario(app, sdk, client):
+        current = (await client.get("/api/v1/settings/memory-mode")).json()
+        assert current["mode"] == current["configured_mode"] == "pro"
+        assert current["forced_by_env"] is False
+        assert app.state.sdk_write_coordinator.memory_mode() == "pro"
+
+        lite = await client.put("/api/v1/settings/memory-mode", json={"mode": "lite"})
+        assert lite.status_code == 200, lite.text
+        body = lite.json()
+        assert body["mode"] == "lite" and body["previous_mode"] == "pro"
+        assert body["effects"] == ["higher_mode_memories_hidden"]
+        assert app.state.sdk_write_coordinator.memory_mode() == "lite"
+        assert _sdk_client_handle(app).memory_mode() == "lite"
+        # lite claims queued work without a generation model.
+        from one_memory.api import _sedimentation_claim_enabled
+
+        assert app.state.model_profile_store.active_identity() is None
+        app.state.history_import_gate_released = True
+        assert _sedimentation_claim_enabled(app, "one-memory-manual")
+
+        ultra = await client.put("/api/v1/settings/memory-mode", json={"mode": "ultra"})
+        assert ultra.status_code == 200, ultra.text
+        assert "existing_memories_added_to_graph" in ultra.json()["effects"]
+        await app.state.memory_graph_backfill.wait()
+        assert sdk.graph_builds == ["local"]
+        reread = (await client.get("/api/v1/settings/memory-mode")).json()
+        assert reread["graph_build"]["state"] == "succeeded"
+
+        for bad in ({"mode": "max"}, {"mode": "pro", "x": 1}):
+            assert (await client.put("/api/v1/settings/memory-mode", json=bad)).status_code == 422
+        assert (
+            await client.get("/api/v1/settings/memory-mode", params={"user_id": "x"})
+        ).status_code == 422
+
+        monkeypatch.setenv("ONE_MEMORY_GRAPH_STORE", "kuzu")
+        await client.put("/api/v1/settings/memory-mode", json={"mode": "pro"})
+        forced = (await client.get("/api/v1/settings/memory-mode")).json()
+        assert forced["mode"] == "ultra" and forced["configured_mode"] == "pro"
+        assert forced["forced_by_env"] is True
+
+    run_app(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_evolve_api_is_ultra_only_async_and_scoped_per_user(tmp_path, monkeypatch) -> None:
+    async def scenario(app, sdk, client):
+        refused = await client.post("/api/v2/evolve", json={})
+        assert refused.status_code == 409
+        assert refused.json()["detail"] == "memory_mode_not_ultra"
+
+        await client.put("/api/v1/settings/memory-mode", json={"mode": "ultra"})
+        await app.state.memory_graph_backfill.wait()
+        started = await client.post(
+            "/api/v2/evolve", json={"user_id": "wife", "agent_id": "all-apps", "max_batches": 2}
+        )
+        assert started.status_code == 202, started.text
+        run = started.json()
+        assert run["state"] == "running" and run["user_id"] == "wife"
+        await app.state.evolve_service.wait(run["run_id"])
+        path = f"/api/v2/evolve/{run['run_id']}"
+        assert (await client.get(path)).status_code == 404
+        done = (await client.get(path, params={"user_id": "wife"})).json()
+        assert done["state"] == "succeeded" and done["rounds"] == 2
+        assert sdk.calls[0] == {"user_id": "wife", "agent_id": "all-apps", "max_batches": 2}
+
+        overview = (await client.get("/api/v2/evolve", params={"user_id": "wife"})).json()
+        assert set(overview["users"]) == {"wife"}
+        assert overview["schedule"] == {"enabled": True, "time": "03:00"}
+
+        processing = (await client.get("/api/v1/memory-processing")).json()
+        pipeline = processing["pipeline"]
+        assert pipeline["mode"] == "ultra"
+        assert pipeline["last_evolve_at"] is not None
+        assert pipeline["evolve"]["users"]["wife"]["last_result"]["state"] == "succeeded"
+
+        for bad in (
+            {"user_id": "a:b"},
+            {"max_batches": 0},
+            {"from_beginning": True},
+        ):
+            assert (await client.post("/api/v2/evolve", json=bad)).status_code == 422
+
+        moved = await client.put(
+            "/api/v1/settings/evolve-schedule", json={"time": "04:30", "enabled": False}
+        )
+        assert moved.json() == {"enabled": False, "time": "04:30"}
+        assert (
+            await client.put("/api/v1/settings/evolve-schedule", json={"time": "25:00"})
+        ).status_code == 422
+
+    run_app(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_a_job_written_in_lite_stays_done_and_a_pending_job_takes_the_new_mode(
+    tmp_path, monkeypatch
+) -> None:
+    """lite to pro reprocesses nothing: the mode is read when a job runs."""
+    from one_memory.memory_server.durable_queue import DurableWriteDrain, execute_job
+
+    modes = ["lite"]
+    seen: list[str] = []
+
+    class Sdk:
+        def __init__(self, mode):
+            self.mode = mode
+
+        def add(self, messages, **kwargs):
+            seen.append(self.mode)
+            return {"success": True, "raw_ids": [f"raw-{len(seen)}"]}
+
+    monkeypatch.setattr(
+        sdk_write_processor,
+        "SdkClientHandle",
+        lambda profile, **kwargs: _SdkHandle(Sdk(kwargs["mode"]), kwargs["mode"]),
+    )
+    coordinator = sdk_write_processor.SdkWriteCoordinator(
+        profiles=_Profiles(),  # type: ignore[arg-type]
+        secrets=None,  # type: ignore[arg-type]
+        data_dir=None,
+        transport_factory=lambda _profile: None,
+        sedimentation_enabled=lambda: True,
+        memory_mode=lambda: modes[0],
+    )
+
+    async def never(_job_id):
+        return None
+
+    async def drain_once(queue) -> int:
+        drain = DurableWriteDrain(queue, execute=never, lease=timedelta(seconds=30))
+        claimed = drain.claim(limit=8)
+        for job_id in claimed:
+            await execute_job(
+                job_id,
+                queue=queue,
+                supervisor=coordinator,
+                evidence=None,  # type: ignore[arg-type]
+            )
+        return len(claimed)
+
+    async def scenario(app, _sdk, client):
+        queue = app.state.memory_write_queue
+        for request_id in ("turn-lite", "turn-pro"):
+            written = await client.post(
+                "/api/v2/memory-writes",
+                json={
+                    "request_id": request_id,
+                    "session_id": f"s-{request_id}",
+                    "source_id": "one-memory-manual",
+                    "messages": [
+                        {"role": "user", "content": request_id},
+                        {"role": "assistant", "content": "ok"},
+                    ],
+                },
+            )
+            assert written.status_code == 202, written.text
+            if request_id == "turn-lite":
+                assert await drain_once(queue) == 1
+                modes[0] = "pro"
+                await coordinator.retire_stale_modes()
+        assert await drain_once(queue) == 1
+        assert await drain_once(queue) == 0
+        assert queue.get("turn-lite").state == queue.get("turn-pro").state == "completed"
+        assert seen == ["lite", "pro"]
+        await coordinator.close()
+
+    run_app(tmp_path, monkeypatch, scenario)

memhub/apps/core/tests/test_sdk_data_plane_migration.py

@@ -6,7 +6,7 @@ import io
 import json
 import sqlite3
 from contextlib import closing
-from datetime import UTC, datetime, timedelta
+from datetime import UTC, datetime
 from pathlib import Path
 
 import pytest
@@ -30,7 +30,6 @@ from one_memory.sdk_data_plane_migration import (
     MemoryAuthority,
     SdkDataPlaneMigrationStore,
 )
-from one_memory.sdk_memory_runtime import SdkMemoryRuntime
 from one_memory.sdk_migration_bundle import create_sdk_migration_bundle
 from one_memory.sdk_migration_runner import (
     PREPARED_PHASE,
@@ -1350,57 +1349,6 @@ def test_raw_http_dto_uses_the_unified_memory_list_shape():
     assert page.raw[0].custom == {"role": "user"}
 
 
-def test_sdk_raw_retention_keeps_only_the_latest_three_days():
-    now = datetime(2026, 10, 23, tzinfo=UTC)
-
-    class Client:
-        def __init__(self):
-            self.rows = [
-                {
-                    "memory_id": "old",
-                    "memory_at": int((now - timedelta(days=4)).timestamp()),
-                },
-                {
-                    "memory_id": "recent",
-                    "memory_at": int((now - timedelta(days=2)).timestamp()),
-                },
-            ]
-
-        def list_memories(self, **_kwargs):
-            return {
-                "vdb": {
-                    "memories": list(self.rows),
-                    "total": len(self.rows),
-                    "limit": 500,
-                    "offset": 0,
-                }
-            }
-
-        def delete(self, memory_id):
-            before = len(self.rows)
-            self.rows = [row for row in self.rows if row["memory_id"] != memory_id]
-            return {
-                "success": True,
-                "deleted_count": before - len(self.rows),
-            }
-
-    client = Client()
-
-    class Handle:
-        async def client(self):
-            return client
-
-    runtime = SdkMemoryRuntime(
-        coordinator=None,
-        read_handle=Handle(),
-        write_queue=None,
-        extraction_settings=None,
-        data_dir=Path("."),
-    )
-    assert asyncio.run(runtime.prune_expired_raw(now=now)) == 1
-    assert [row["memory_id"] for row in client.rows] == ["recent"]
-
-
 # The UI asks which memory data plane is authoritative and must get the
 # answer the API gates use.
 

memhub/apps/core/tests/test_search_without_profile.py

@@ -140,7 +140,7 @@ class _Recorder:
         self.opened: list[tuple[str, int | None, str | None]] = []
         self.closed: list[str] = []
 
-    def __call__(self, profile, *, api_key, data_dir, http_transport_factory=None):
+    def __call__(self, profile, *, api_key, data_dir, http_transport_factory=None, mode="pro"):
         from one_memory.hy_sdk_runtime import build_sdk_config
 
         config = build_sdk_config(profile, api_key=api_key, data_dir=data_dir)

memhub/docs/ARCHITECTURE.md

@@ -130,7 +130,7 @@ This exception does not extend to VDB, Coding, prompt, reconcile, or lifecycle.
 
 - Storage backends：仅 SDK config/env（Chroma/FAISS/Qdrant、Kuzu/Neo4j、cache/history sqlite|mysql、coding sqlite 等）。
 - Queue：pending `memory_write_jobs` 只表示尚未调用 SDK 的待处理请求，因此没有 SDK raw/memory ID。worker 单次调用 SDK `add()`；SDK 内部完成 raw 写入与 extraction/reconciliation，成功后 MemHub 仅将返回的 raw ID / memory IDs 记作 job outcome。
-- Raw retention：SDK L1 raw 只保留最近三天，由 Runtime 的 `prune_expired_raw` 执行；每个完整 turn 只保存真人 user 与 assistant，tool 不进入 raw。高层 Chat/Coding/Working memory 不受该窗口影响。
+- Raw retention：MemHub 不删除任何 SDK L1 raw，任何模式都全部保留（SDK 自身也不删 raw）；每个完整 turn 只保存真人 user 与 assistant，tool 不进入 raw。记忆模式（lite / pro / ultra）与 evolve 见 `docs/contracts/memory-mode-evolve-v1.md`。
 - Recall：Host Bridge / Core 先做宿主安装凭据与 tool grant，再调 **SDK search/get**。当前产品没有逐 memory 的 A-harness→B-harness 可见性开关，默认允许跨 harness 搜索；未来若增加来源限制，直接透传 SDK `source` / `include_sources` / `exclude_sources`，不在 MemHub 建 memory ACL。
 - Context wire：cutover marker 提交前只使用 legacy Context v1；提交后 Host Bridge 只使用 SDK-native Context v2。两种 schema 原样校验、原样返回，不把 SDK item 补造成 v1 的 `revision`、`evidence_ids`、`paths` 或 `adoption`，已选择的 v2 路径失败时也不回退 legacy 权威。
 - Ask wire：marker 前保留 Governance Ask v1；marker 后 Web / Host Bridge 只调用 SDK Ask v2。v2 的引用只含 SDK 原生 `memory_id/content/layer/status/source/gmt_created`，生成过程中重复 `get` 校验同一 SDK 快照，不补造 revision、Evidence 或 scopes，SDK 失败不回退 v1。

memhub/docs/cli/EXPERIENCE.md

@@ -152,6 +152,20 @@ node apps/cli/dist/one-memory.cjs profile --versions --user-id wife --json
 用于找出覆盖了正确值的错误版本（例如 `用户` / `The user`），再用
 `memories delete <memory-id> --yes` 删除；对应 `GET /api/v2/user-profile/versions`。
 
+### 记忆模式与进化（`settings mode` / `evolve`）
+
+```bash
+node apps/cli/dist/one-memory.cjs settings mode                 # 当前模式
+node apps/cli/dist/one-memory.cjs settings mode ultra           # 只显示切换计划，不改动
+node apps/cli/dist/one-memory.cjs settings mode ultra --yes     # 切换
+node apps/cli/dist/one-memory.cjs evolve --user-id wife --wait  # 立即进化（仅 ultra）
+```
+
+- 切换不迁移数据：已处理的对话不会重做，排队中的和新的按新模式处理；正在写的一批按旧模式写完。
+- 任何模式都保留全部原始对话。
+- `status --json` 与 `progress --json` 输出 `pipeline.mode`、每晚进化时间和每个用户的上次进化。
+- 契约见 `docs/contracts/memory-mode-evolve-v1.md`。
+
 ## 8. 召回（recall）
 
 `recall` 两条路径（raw / memory）此前已真机验证。文本输出会标明每条是「原始对话摘录」

memhub/docs/contracts/memory-mode-evolve-v1.md

@@ -0,0 +1,346 @@
+# Memory mode, evolve and the nightly schedule v1
+
+Status: Core + CLI implemented (PR B of the SDK-surface batch). The App
+controls are built separately against this contract.
+
+All routes need the Runtime bearer token. Unknown query parameters and body
+fields answer `422 {"detail": "request_validation_failed"}`, like every
+memory route. `user_id` is optional (default `local`) and must match
+`^[A-Za-z0-9._-]{1,64}$`. The App never sends it.
+
+## 1. What the modes are
+
+| Mode | SDK client | What happens to a conversation | What search reads |
+|---|---|---|---|
+| `lite` | `mode="lite"` | Stored as one raw turn with one embedding. No model call; no generation model needs to be configured. | Raw turns only (the SDK forces `L1_RAW`). |
+| `pro` (default) | `mode="pro"` | Stored as raw, then a model extracts memories (System 1). The raw becomes SHADOW once extraction succeeds. | Extracted memories (facts, profile, intentions). |
+| `ultra` | `mode="ultra"` | Same as pro, and new facts are also projected into the knowledge graph. Every night, evolve runs System 2 for every user. | Same as pro, plus the graph-backed lanes below. |
+
+The product difference between pro and ultra is the nightly evolve. MemHub ultra
+uses SDK `mode="ultra"` because `client.evolve` refuses any other mode. Compared
+with pro, SDK ultra (hy-memory 2.0.9) also turns on the following, so the owner
+can judge their cost:
+
+- **The graph store.** Kuzu is always opened in ultra. Client init fails if the
+  graph cannot open, so `PUT ultra` answers `409 graph_store_unavailable` when
+  `kuzu` is missing. In pro it opens only when `MEMORY_ENABLE_GRAPH` is set, and
+  MemHub does not set it. Writes project new L2 facts into the graph.
+- **The schema lane (L6_SCHEMA).** The search's schema channel runs only when
+  a graph store exists, so in MemHub only in ultra. It returns the schemas that
+  evolve wrote (`schema_limit`, `schema_min_score`).
+- **Graph-aware ranking on the normal lane.** With a graph store, search adds
+  graph-entity (MENTIONS) boosts when the query names known entities and no
+  source filter is set. The heavier graph stages need the graph *and* their
+  own env flag, and every flag defaults off, so none of them run in MemHub:
+  graph rerank and episode expansion (`MEMORY_GRAPH_RERANK_ENABLED`), topic
+  graph entry, same-series bundle, hierarchy bundle.
+- **The profile.** `get_user_profile` appends the balanced catalog and the
+  specific supplement from the graph, when the SDK's balanced-catalog flag is
+  on.
+
+`ONE_MEMORY_GRAPH_STORE` (development only) still forces ultra whatever the
+setting says. Any value other than empty or `none` does this. The API reports
+it as `forced_by_env: true`, with `configured_mode` showing the saved choice.
+
+**Raw is never deleted.** In every mode MemHub keeps every raw turn the SDK
+stored, and the SDK never deletes raw itself. There is no retention window.
+
+## 2. Switching mode: what changes and what does not
+
+The SDK migrates nothing when the mode changes. MemHub applies these rules,
+and they are the owner's:
+
+- The mode is read **when a queued job runs**, not when it was queued.
+  - A job that already completed, in any mode, stays completed. It is never
+    reclaimed or reprocessed.
+  - Jobs still waiting (pending, assembling, waiting) and new input run in
+    the new mode.
+- **A batch in flight finishes in the mode it started in.** Its SDK client is
+  retired only when its last use ends (the #218 use count). The next claim
+  uses the new mode.
+- **Search follows the new mode at once.** The read client is rebuilt on the
+  next request (the active-profile read handle is keyed by profile and mode); the client it replaces closes once no request still uses it.
+- **lite → pro/ultra:**
+  - what lite stored stays raw and is not extracted;
+  - lite's raw-only search stops at once;
+  - nothing is re-ingested or backfilled.
+- **pro/ultra → lite:** memories made by the higher mode stay on disk, but lite
+  search does not serve them. Nothing is deleted.
+- **ultra → pro/lite:** the nightly evolve stops.
+- **→ ultra:**
+  - every known user's existing facts are added to the graph once
+    (`build_memory_graph(user_id, limit=10000, clear_first=False)`);
+  - this runs in the background, one user at a time, never beside that
+    user's write;
+  - progress is reported in `graph_build`.
+- Vector collection names never depend on the mode. The mode is a separate
+  client parameter, not part of the embedding-space identity.
+
+## 3. `GET /api/v1/settings/memory-mode`
+
+No parameters. `200` response:
+
+```json
+{
+  "mode": "pro",
+  "configured_mode": "pro",
+  "forced_by_env": false,
+  "modes": ["lite", "pro", "ultra"],
+  "graph_build": {
+    "state": "idle",
+    "started_at": null,
+    "finished_at": null,
+    "users": {}
+  }
+}
+```
+
+- `mode` is what SDK clients are built with now; `configured_mode` is the
+  saved setting.
+- `graph_build.state` is `idle | running | succeeded | failed`. Each entry in
+  `graph_build.users[<user_id>]` is
+  `{state: pending|running|succeeded|failed, memories_scanned, nodes, error_code}`.
+
+## 4. `PUT /api/v1/settings/memory-mode`
+
+Body: `{"mode": "lite" | "pro" | "ultra"}`. `200` response: the GET shape,
+plus these fields:
+
+```json
+{
+  "previous_mode": "pro",
+  "effects": ["existing_memories_added_to_graph"]
+}
+```
+
+`effects` is empty when the effective mode did not change. That happens when
+the mode was already set, or when `ONE_MEMORY_GRAPH_STORE` forces ultra; the
+saved setting still changes in that case. Otherwise `effects` lists these, in
+this order:
+
+| Effect | When | Meaning |
+|---|---|---|
+| `earlier_raw_not_extracted` | from lite | What lite stored stays raw; it is not extracted. |
+| `lite_search_stops` | from lite | lite's raw-only search ends now; search reads memories. |
+| `higher_mode_memories_hidden` | to a lower mode | Memories of the higher mode stay stored but are not shown. |
+| `evolve_stopped` | from ultra | The nightly evolve stops. |
+| `existing_memories_added_to_graph` | to ultra | The one-time graph backfill started (see `graph_build`). |
+| `graph_backfill_already_running` | to ultra | A backfill from an earlier switch is still running; no second one started. |
+
+Errors:
+
+- `409 {"detail": "graph_store_unavailable"}`: `ultra` was asked for, but the
+  graph store package is not installed. Nothing changed.
+- `422 request_validation_failed`: an unknown mode or an extra field.
+
+Show the planned effects before calling PUT. Clients can compute them with the
+table above: the CLI (`memhub settings mode <m>` without `--yes`) and Core
+(`memory_mode_effects`) use the same rule.
+
+## 5. Evolve
+
+### `POST /api/v2/evolve` → `202`
+
+Body (every field optional):
+
+```json
+{"user_id": "local", "agent_id": "all-apps", "max_batches": 3}
+```
+
+- `agent_id` is 1..128 characters. The default is `all-apps`, the agent
+  MemHub writes every memory under.
+- `max_batches` is 1..1000. The default is the SDK's own.
+
+The response is the run receipt below, with `state: "running"`. The run goes
+on in the background.
+
+- **One run per user.** Asking while that user's run is going answers the same
+  receipt, again `202`.
+- **Never beside that user's writes.** The run waits for the user's write in
+  flight. While it runs, that user's queued jobs wait: they are returned to
+  pending before any SDK call. Other users are not held.
+- **Loops while the SDK answers `should_continue: true`**, up to 20 rounds. A
+  run stopped by that cap has `capped: true`; start it again to continue.
+
+Errors:
+
+- `409 {"detail": "memory_mode_not_ultra"}`: the effective mode is not ultra.
+- `422`: a malformed `user_id`, `max_batches` outside its range, or an extra
+  field.
+
+### Run receipt
+
+```json
+{
+  "run_id": "uuid",
+  "user_id": "local",
+  "agent_id": "all-apps",
+  "max_batches": null,
+  "trigger": "manual",
+  "state": "succeeded",
+  "started_at": "2026-11-01T03:00:00Z",
+  "finished_at": "2026-11-01T03:00:42Z",
+  "rounds": 2,
+  "tasks_processed": 5,
+  "batch_failures": 0,
+  "cycle_status": "complete",
+  "should_continue": false,
+  "continuation_reason": null,
+  "remaining_clusters": 0,
+  "remaining_actionable_clusters": 0,
+  "remaining_fresh_facts": 0,
+  "capped": false,
+  "elapsed_ms": 41873.2,
+  "error_code": null,
+  "failure_kind": null,
+  "request_id": "sdk-request-id",
+  "results": {},
+  "cross_domain_sweeper": {}
+}
+```
+
+- `trigger` is `manual` or `scheduled`.
+- `state` is `running`, `succeeded` or `failed`.
+- `cycle_status` is the SDK's `partial` or `complete`.
+- `error_code` and `failure_kind` are stable codes on failure. Examples:
+  `memory_evolve_cancelled` (the Runtime stopped mid-run),
+  `hy_memory_evolve_rejected` (the SDK answered `success: false` without a
+  code), or the SDK's own `error_code`. Provider messages never appear.
+- `results` and `cross_domain_sweeper` are the last round's SDK bodies. They
+  live in memory only and are never written to disk or diagnostics.
+
+### `GET /api/v2/evolve/{run_id}?user_id=` → receipt
+
+Returns `404 {"detail": "evolve_run_not_found"}` in two cases:
+
+- the run belongs to another user (answered exactly like a missing run);
+- the Runtime restarted since the run. Receipts live in memory, and the last
+  64 are kept.
+
+### `GET /api/v2/evolve?user_id=` → overview
+
+```json
+{
+  "mode": "ultra",
+  "schedule": {"enabled": true, "time": "03:00"},
+  "users": {
+    "local": {
+      "last_run_at": "2026-11-01T03:00:00Z",
+      "last_result": {"state": "succeeded", "rounds": 2, "...": "receipt without results"},
+      "last_error": null
+    }
+  },
+  "running": []
+}
+```
+
+- Without `user_id` the overview covers every user; with it, that one user.
+- `users` survives restarts. It is kept in `<data_dir>/evolve-state.json`,
+  counts and codes only.
+
+## 6. Nightly schedule
+
+### `GET /api/v1/settings/evolve-schedule`
+
+Returns `{"enabled": true, "time": "03:00"}`. `time` is `HH:MM`, 24-hour, in
+the machine's local time.
+
+### `PUT /api/v1/settings/evolve-schedule`
+
+Body: `{"enabled"?: bool, "time"?: "HH:MM"}`. An absent field keeps its
+value. The response is the saved schedule. A bad time answers `422`.
+
+How the schedule runs:
+
+- It runs only in ultra.
+- It checks every 5 minutes. A user's run is due when either holds:
+  - today's slot has passed, and the user's last run is older than that slot;
+  - the user's last run is more than 24 hours old.
+
+  The second rule is how a machine that slept through 03:00 catches up when
+  it wakes.
+- A user who never ran is measured from the first time the schedule ran in
+  ultra, not from the epoch. So switching to ultra at noon does not evolve
+  everyone at once; their first run is at the next slot.
+- Users run one after another.
+
+The schedule runs every user that has memories. The SDK cannot list users, so
+Core takes them from its own records:
+
+- `local`;
+- every user holding a source grant (a Hermes profile);
+- every user whose turns or notes passed the write queue.
+
+A user is kept when `memory_stats` reports any memory or fact for them.
+
+## 7. Status fields (R10)
+
+`GET /api/v1/memory-processing` has a new optional field, `pipeline`:
+
+```json
+{
+  "pipeline": {
+    "mode": "ultra",
+    "configured_mode": "ultra",
+    "forced_by_env": false,
+    "evolve": {"...": "the overview of section 5"},
+    "last_evolve_at": "2026-11-01T03:00:00Z",
+    "graph_build": {"...": "as in section 3"}
+  }
+}
+```
+
+`memhub status --json` adds a top-level projection of it:
+
+```json
+{
+  "pipeline": {
+    "mode": "ultra",
+    "configured_mode": "ultra",
+    "forced_by_env": false,
+    "last_evolve_at": "...",
+    "evolve_schedule": {"enabled": true, "time": "03:00"},
+    "evolve_running": 0,
+    "evolve_users": {
+      "local": {"last_run_at": "...", "last_error": null, "state": "succeeded"}
+    },
+    "graph_build": "succeeded"
+  }
+}
+```
+
+`memhub progress --json` carries the same `pipeline`. Both are `null` against
+an older Core.
+
+## 8. CLI
+
+```bash
+memhub settings mode                    # show the current mode
+memhub settings mode lite               # print the plan, change nothing
+memhub settings mode lite --yes         # switch
+memhub evolve [--user-id <id>] [--agent-id <id>] [--max-batches <n>] [--wait] [--json]
+```
+
+## 9. Copy the UI can reuse
+
+| Key | zh-CN | en | es |
+|---|---|---|---|
+| title | 记忆模式 | Memory mode | Modo de memoria |
+| lite | lite：不调用模型，保留全部原始对话，只在原始对话里检索。 | lite: no model calls. Every original conversation is kept, and search reads only those conversations. | lite: sin llamadas al modelo. Se conservan todas las conversaciones originales y la búsqueda solo las consulta a ellas. |
+| pro | pro：由模型从对话中提取记忆（System 1）。 | pro: a model extracts memories from your conversations (System 1). | pro: un modelo extrae memorias de tus conversaciones (System 1). |
+| ultra | ultra：在 pro 之上每晚自动整合记忆（System 2，evolve），并使用知识图谱。 | ultra: pro plus nightly memory consolidation (System 2, evolve), using a knowledge graph. | ultra: pro más una consolidación nocturna de las memorias (System 2, evolve), con un grafo de conocimiento. |
+| confirm | 切换到 {mode} 前请确认： | Before switching to {mode}, please confirm: | Antes de cambiar a {mode}, confirma lo siguiente: |
+| earlier_raw_not_extracted | lite 下已处理完的对话不会再被提取；只有尚未处理的和之后的新对话会由模型整理成记忆。 | Conversations already handled in lite are not extracted again; only conversations still waiting, and new ones, become memories. | Las conversaciones ya procesadas en lite no se vuelven a extraer; solo las pendientes y las nuevas se convierten en memorias. |
+| lite_search_stops | 只在原始对话里的检索会立即停止，改为检索记忆。 | Search over original conversations stops now; search reads memories instead. | La búsqueda en las conversaciones originales se detiene ahora; se buscará en las memorias. |
+| higher_mode_memories_hidden | 更高模式生成的记忆仍然保存，但在这个模式下不会显示。 | Memories created by a higher mode stay stored but are not shown in this mode. | Las memorias creadas por un modo superior se conservan, pero no se muestran en este modo. |
+| evolve_stopped | 每晚的自动整合（System 2）会停止。 | Nightly consolidation (System 2) stops. | La consolidación nocturna (System 2) se detiene. |
+| existing_memories_added_to_graph | 已有记忆会在后台加入知识图谱。 | Your existing memories are added to the knowledge graph in the background. | Tus memorias actuales se añaden al grafo de conocimiento en segundo plano. |
+| graph_backfill_already_running | 知识图谱正在补建中。 | The knowledge graph is still being built. | El grafo de conocimiento todavía se está construyendo. |
+| raw_kept | 原始对话全部保留，任何模式都不删除。 | Every original conversation is kept, in every mode. | Se conservan todas las conversaciones originales, en cualquier modo. |
+| graph_build_running | 正在把已有记忆加入知识图谱… | Adding existing memories to the knowledge graph… | Añadiendo las memorias actuales al grafo de conocimiento… |
+| forced_by_env | 开发环境变量 ONE_MEMORY_GRAPH_STORE 正在强制使用 ultra。 | The development variable ONE_MEMORY_GRAPH_STORE is forcing ultra. | La variable de desarrollo ONE_MEMORY_GRAPH_STORE está forzando ultra. |
+| graph_store_unavailable | 这个安装缺少知识图谱组件，无法切换到 ultra。 | This installation lacks the knowledge-graph component, so it cannot switch to ultra. | A esta instalación le falta el componente del grafo de conocimiento; no puede cambiar a ultra. |
+| schedule | 每天 {time} 自动整合 | Consolidates daily at {time} | Consolida cada día a las {time} |
+| last_evolve | 上次整合：{time} | Last consolidation: {time} | Última consolidación: {time} |
+| never_evolved | 尚未整合 | Not consolidated yet | Aún no consolidado |
+| evolve_not_ultra | 记忆整合只在 ultra 模式下可用。 | Consolidation is available in ultra mode only. | La consolidación solo está disponible en el modo ultra. |

memhub/docs/contracts/sdk-data-plane-migration-v1.md

@@ -26,8 +26,7 @@ and no raw turn, and does not compare the mirror with the SDK:
   cannot be trusted to decide what the SDK should contain;
 - the product has no user editing of memories in practice, so the mirror holds
   no user intent the SDK lacks;
-- SDK L1 raw is retained for three days by the Runtime's own
-  `prune_expired_raw`, not by the migration.
+- SDK L1 raw is kept: neither the migration nor the Runtime deletes raw.
 
 "Already complete" holds only if the new Runtime opens the same stores. Builds
 before #145 named a profile's vector collections `one_memory_<12 hex>…`; #145