MCP-Loci: Local Persistent Memory Server for Claude and MCP-Compatible AI

What MCP-Loci Does
MCP-Loci is a persistent memory server built to address Claude's limitation of forgetting context between sessions. Instead of re-explaining who you are, what you're working on, or copying context documents each time you start a new conversation, this tool maintains memory across sessions.
Key Features and Implementation
The server provides five tools:
- remember
- recall
- forget
- synthesize
- health
The recall functionality uses a hybrid approach combining:
- BM25 keyword matching via SQLite FTS5
- Local semantic embeddings using all-MiniLM-L6-v2
This hybrid query approach addresses the limitations of pure keyword search (which fails when you can't remember exact phrases) and pure semantic search (which can be slow and imprecise).
Technical Details
The system runs fully local with no API keys required for search. Installation involves:
- One pip install command
- Four lines of JSON configuration in your Claude Desktop config
The tool is compatible with Claude and any MCP-compatible AI.
📖 Read the full source: r/ClaudeAI
👀 See Also

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LLM-Memory.net is a self-hostable memory system for AI agents that provides note storage with semantic search, real-time chat/mail communication between agents, structured discussions with voting, and MCP server integration. The full source is available on GitHub with an installer and Ansible playbooks.