{ "id": "openclaw-hy-memory", "name": "Memory (HY Memory)", "description": "HY Memory — self-hosted intelligent agent memory with LLM-driven extraction, evolution chains, and multi-layer recall. Supports OpenAI, DeepSeek, Ollama for LLM/embedding, and Qdrant, Chroma, FAISS for vector storage.", "version": "0.1.0", "kind": "memory", "commandAliases": [ { "name": "hy-memory", "cliCommand": "hy-memory" } ], "contracts": { "tools": [ "memory_search", "memory_add", "memory_get", "memory_update", "memory_delete" ] }, "uiHints": { "serverUrl": { "label": "Server URL", "placeholder": "http://127.0.0.1:19527", "help": "URL of the HY Memory server. Default: auto-start on localhost:19527" }, "userId": { "label": "User ID", "placeholder": "default", "help": "User ID for scoping memories" }, "agentId": { "label": "Agent ID", "placeholder": "default_agent", "help": "Agent ID for second-level isolation" }, "mode": { "label": "Memory Mode", "placeholder": "pro", "help": "lite: embedding only | pro: LLM extraction (default) | ultra: pro + System 2 cognitive layer with embedded Kuzu graph" }, "autoRecall": { "label": "Auto-Recall", "help": "Automatically inject relevant memories before each agent turn" }, "autoCapture": { "label": "Auto-Capture", "help": "Automatically store conversation context after each agent turn" }, "pythonPath": { "label": "Python Path", "placeholder": "auto", "help": "Python executable, or leave default (python on Windows, python3 on Linux/macOS) to use auto-managed venv at ~/.openclaw/hy-memory-venv" }, "autoStartServer": { "label": "Auto-Start Server", "help": "Automatically start the Python memory server when the plugin loads" }, "serverPort": { "label": "Server Port", "placeholder": "19527", "help": "Port for the local Python memory server" }, "topK": { "label": "Top K Results", "placeholder": "10", "help": "Maximum number of memories to retrieve in search" }, "searchThreshold": { "label": "Search Threshold", "placeholder": "0.3", "help": "Minimum similarity score for search results (0-1)" }, "llm": { "label": "LLM Configuration", "advanced": true, "help": "Configure the LLM for memory extraction (default: OpenAI gpt-4.1-nano)" }, "llm.provider": { "label": "LLM Provider", "placeholder": "openai", "help": "LLM provider: openai, ollama, anthropic" }, "llm.apiKey": { "label": "LLM API Key", "sensitive": true, "help": "API key for the LLM provider" }, "embedder": { "label": "Embedding Configuration", "advanced": true, "help": "Configure the embedding model (default: OpenAI text-embedding-3-small)" }, "embedder.provider": { "label": "Embedder Provider", "placeholder": "openai", "help": "Embedding provider: openai, ollama" }, "embedder.apiKey": { "label": "Embedder API Key", "sensitive": true, "help": "API key for the embedder provider (defaults to LLM key if same provider)" }, "vectorStore": { "label": "Vector Store Configuration", "advanced": true, "help": "Configure the vector database (default: Chroma local)" }, "vectorStore.provider": { "label": "Vector Store Provider", "placeholder": "chroma", "help": "Vector store: chroma (local, default), qdrant, faiss" } }, "configSchema": { "type": "object", "additionalProperties": false, "properties": { "serverUrl": { "type": "string", "description": "URL of the HY Memory server" }, "userId": { "type": "string" }, "agentId": { "type": "string" }, "sessionId": { "type": "string" }, "mode": { "type": "string", "enum": ["lite", "pro", "ultra"], "default": "pro", "description": "SDK processing mode. ultra enables System 2 and embedded Kuzu graph (local files under ~/.hy_memory, no external graph service)." }, "autoRecall": { "type": "boolean", "default": false, "description": "Inject relevant memories before each agent turn" }, "autoCapture": { "type": "boolean", "default": false, "description": "Store conversation context after each agent turn" }, "topK": { "type": "number", "default": 10 }, "searchThreshold": { "type": "number", "default": 0.3 }, "pythonPath": { "type": "string", "description": "Use python (Windows) or python3 (Unix), or a full path. Default triggers auto venv." }, "autoStartServer": { "type": "boolean", "default": true }, "serverPort": { "type": "number", "default": 19527 }, "memoryWriteTurnWindow": { "type": "number", "default": 5, "description": "Number of agent turns between each auto-capture write (lower = more frequent writes, higher = batch more turns together)" }, "logLevel": { "type": "string", "default": "INFO", "description": "Python server log level: DEBUG, INFO, WARNING, ERROR" }, "llm": { "type": "object", "description": "LLM provider configuration for memory extraction and reconciliation", "properties": { "provider": { "type": "string", "description": "openai | ollama | anthropic" }, "model": { "type": "string", "description": "Model name (e.g. gpt-4.1-nano, deepseek-chat)" }, "apiKey": { "type": "string", "sensitive": true }, "baseUrl": { "type": "string", "description": "API base URL override" }, "temperature": { "type": "number" }, "maxTokens": { "type": "number" }, "thinkingMode": { "type": "string", "description": "disabled | enabled | auto" } } }, "embedder": { "type": "object", "description": "Embedding provider configuration", "properties": { "provider": { "type": "string", "description": "openai | ollama" }, "model": { "type": "string", "description": "Model name (e.g. text-embedding-3-small)" }, "apiKey": { "type": "string", "sensitive": true }, "baseUrl": { "type": "string", "description": "API base URL override" }, "dims": { "type": "number", "description": "Embedding dimensions" }, "extraHeaders": { "type": "object", "description": "Extra HTTP headers (JSON object)" }, "extraBody": { "type": "object", "description": "Extra request body fields (JSON object)" } } }, "vectorStore": { "type": "object", "description": "Vector store backend configuration", "properties": { "provider": { "type": "string", "description": "chroma | qdrant | faiss" }, "host": { "type": "string" }, "port": { "type": "number" }, "apiKey": { "type": "string", "sensitive": true }, "collectionName": { "type": "string" }, "persistDirectory": { "type": "string" } } } }, "required": [] } }