docs: MemHub 1.0.5 news, build 35, macOS arm64 only

The README news line announces v1.0.5 briefly; details live in the release
notes. The release facts said build 14 and promised a macOS Intel build that
this version does not ship. CHANGELOG's Unreleased section becomes MemHub
1.0.5.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

CHANGELOG.md

@@ -4,6 +4,12 @@ Hy Memory and MemHub are versioned and released independently.
 
 ## Unreleased
 
+## MemHub 1.0.5 — 2026-10-28
+
+Build 35, on `hy-memory==2.0.8`. Linux x64/arm64 Runtime and macOS arm64
+App and Runtime. Upgrading from 1.0.4 migrates the existing library to SDK
+authority on first launch.
+
 - MemHub turns off the HY pipeline log and trace at every diagnostic level
   (hy-memory 2.0.8 `MEMORY_PIPELINE_LOG_ENABLED=false`,
   `MEMORY_PIPELINE_TRACE_ENABLED=false`), so the per-step JSONL files under

README.md

@@ -33,6 +33,7 @@ English | [中文](README.zh.md)
 ## Latest News
 
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **Open-sourced** quantized **FP8** (**[Hy-Memory-30B-A3B-FP8](https://huggingface.co/tencent/Hy-Memory-30B-A3B-FP8)**) and **GGUF** (**[Hy-Memory-30B-A3B-GGUF](https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF)**) versions of **Hy-Memory-30B-A3B** on Hugging Face!
+* *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **Released [MemHub v1.0.5](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.5)** with Chinese, English and Spanish interfaces, one-time pairing codes for more custom Harnesses, and smoother browsing, search, startup and recovery, on **`hy-memory==2.0.8`**. See the release notes for details.
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **Released [MemHub v1.0.4](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.4)** and **[memhub-cli 1.0.5](https://www.npmjs.com/package/memhub-cli/v/1.0.5)**, with a signed macOS desktop app and verified macOS/Linux Runtimes!
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **Released** **Hy Memory 2.0 (`hy-memory==2.0.4`)** on [PyPI](https://pypi.org/project/hy-memory/2.0.4/) and open-sourced the **Hy-Memory** monorepo together with **[MemHub](memhub/README.md)**!
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **Open-sourced** **[Hy-Memory-30B-A3B](https://huggingface.co/tencent/Hy-Memory-30B-A3B)** on Hugging Face along with its [technical report](https://arxiv.org/abs/2610.22196) on attributed reinforcement learning for long-term memory writing!

README.zh.md

@@ -33,6 +33,7 @@
 ## 最新动态
 
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **模型开源** 在 Hugging Face 发布 **Hy-Memory-30B-A3B** 的 **FP8**（**[Hy-Memory-30B-A3B-FP8](https://huggingface.co/tencent/Hy-Memory-30B-A3B-FP8)**）与 **GGUF**（**[Hy-Memory-30B-A3B-GGUF](https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF)**）量化版本模型！
+* *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **正式发布 [MemHub v1.0.5](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.5)**：支持中文、英文和西班牙语界面，可通过一次性配对码连接更多自定义 Harness，并优化了记忆浏览、搜索、启动和异常恢复；底层使用 **`hy-memory==2.0.8`**。详见发布说明。
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **正式发布 [MemHub v1.0.4](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.4)** 与 **[memhub-cli 1.0.5](https://www.npmjs.com/package/memhub-cli/v/1.0.5)**，提供已签名的 macOS 桌面应用及经过验证的 macOS/Linux Runtime！
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **正式发布** **Hy Memory 2.0 (`hy-memory==2.0.4`)**（已上线 [PyPI](https://pypi.org/project/hy-memory/2.0.4/)），并开源 **Hy-Memory** monorepo 与 **[MemHub](memhub/README.md)**！
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **模型开源** 在 Hugging Face 发布 **[Hy-Memory-30B-A3B](https://huggingface.co/tencent/Hy-Memory-30B-A3B)** 长期记忆写入模型及[技术报告](https://arxiv.org/abs/2610.22196)！

memhub/README.md

@@ -19,12 +19,12 @@ If you run into a problem, please open an Issue with the version, platform,repro
 ## 发行与平台合同
 
 源码当前固定使用公开 PyPI 正式版 `hy-memory==2.0.8`。MemHub 源码版本为 `1.0.5`
-（build 14），GitHub 仓库为
+（build 35），GitHub 仓库为
 [`Tencent-Hunyuan/Hy-Memory`](https://github.com/Tencent-Hunyuan/Hy-Memory)，npm 包名为
 `memhub-cli`。当前代码架构见
 [`docs/ARCHITECTURE.md`](docs/ARCHITECTURE.md)。
 
-`v1.0.5` 的发行目标是 Linux x64/arm64 Runtime 与 macOS arm64/x64 App 和 Runtime。
+`v1.0.5` 的发行目标是 Linux x64/arm64 Runtime 与 macOS arm64 App 和 Runtime。
 Linux 制品由 GitHub Actions 在原生架构 runner 上构建并完成生命周期验收；macOS
 制品由发行流水线完成 Developer ID 签名、公证和验收后手动上传。Windows 不支持。
 只有同时出现在 GitHub Release 与 `release-manifest.json` 中、且通过公开校验的制品才属于

memhub/docs/INSTALLATION.md

@@ -1,13 +1,13 @@
 # MemHub 安装与发行
 
-MemHub `v1.0.5`（build 14）的发行目标如下：
+MemHub `v1.0.5`（build 35）的发行目标如下：
 
 | 平台 | 发行物 | 构建与验收 |
 | --- | --- | --- |
 | Linux x64 | Runtime tar.gz | GitHub Actions 原生 x64 runner |
 | Linux arm64 | Runtime tar.gz | GitHub Actions 原生 arm64 runner |
 | macOS arm64 | DMG 与 Runtime tar.gz | Developer ID 签名、公证和原生 arm64 验收 |
-| macOS x64 | DMG 与 Runtime tar.gz | Developer ID 签名、公证和原生 Intel 验收 |
+| macOS x64 | 无 | 本版本不提供 Intel 构建 |
 | Windows | 无 | 当前不支持 |
 
 正式支持以对应 GitHub Release 的 `release-manifest.json` 为准。Manifest 记录版本、

memhub/scripts/install-docs.test.mjs

@@ -25,7 +25,8 @@ test("installation docs disclose publication and lifecycle boundaries", async ()
   assert.match(installation, /Linux x64.*GitHub Actions/s);
   assert.match(installation, /Linux arm64.*GitHub Actions/s);
   assert.match(installation, /macOS arm64.*Developer ID/s);
-  assert.match(installation, /macOS x64.*Developer ID/s);
+  // v1.0.5 ships no Intel build; the table has to say so rather than omit it.
+  assert.match(installation, /\| macOS x64 \| 无 \|/);
   assert.match(installation, /release-manifest\.json/);
   assert.match(installation, /fake Release/);
   assert.match(installation, /--source/);