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

✍️ OpenClawRadar📅 Published: April 16, 2026🔗 Source
MCP-Loci: Local Persistent Memory Server for Claude and MCP-Compatible AI
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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

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👀 See Also