AI tools
BrainMCP
A semantic long-term memory MCP server for LLMs.
A Model Context Protocol server in Go that gives any LLM persistent semantic memory: vector embeddings via Gemini, contexts to organise topics, tagging, client collaboration and an LLM-assisted synthesis tool that answers questions from the stored memories. Backed by chromem-go for a lightweight local vector DB.
Specifications
- Semantic search via Gemini embedding-001 (768-d Matryoshka)
- Named contexts · tags · multi-client collaboration
- Persistent local store (binary + JSON), graceful shutdown
- Task-specific embeddings (RETRIEVAL_DOCUMENT vs RETRIEVAL_QUERY)
- Built-in interactive test CLI · works with any MCP client
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