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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Fixing Context Bloat in Claude Code Auto-Memory with a Naming Schema and Audit Script
A Claude Code skill enforces a 3-type naming schema, required frontmatter, and a bash audit script to deduplicate memory files and reduce context load.
DELIGHT: Local Orchestrator Uses Multiple ChatGPT Sessions as Coordinated Agents
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