Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
A local MCP server that gives Copilot durable, project-scoped memory across sessions. Memories are stored in an embedded ChromaDB vector database with all-MiniLM-L6-v2 embeddings, enabling semantic retrieval (RAG). Everything runs in a single Docker container — no cloud services required.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| create_memory | Store a new memory with title, content, optional project scope and tags |
| search_memories | Semantic vector search; filter by project and/or tags |
| update_memory | Update an existing memory by ID; re-embeds on change |
| delete_memory | Permanently delete a memory by ID |
| list_memories | Browse memories with pagination (lightweight, no content) |
| Variable | Description | Required |
|---|---|---|
| CHROMA_PATH | Filesystem location the server is allowed to use. | Optional |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
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