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
Get Shit Done: Meta-Prompting System for AI Coding Agents
Get Shit Done is a meta-prompting, context engineering, and spec-driven development system that works with Claude Code, OpenCode, Gemini CLI, Codex, Copilot, and Antigravity. It addresses context rot by providing structured prompts and verification workflows.
CrabMeat v0.1.0: A Security-First Agent Gateway That Doesn't Trust the LLM with the Security Boundary
CrabMeat v0.1.0 is a WebSocket gateway for agentic LLM workloads that enforces security at the architectural level: capability ID indirection, effect classes, IRONCLAD_CONTEXT pinned instructions, tamper-evident audit chain, streaming output leak filter, and no YOLO mode.
Parallel Agent Orchestrator for Claude Code Using Git Worktrees
A developer built a parallel orchestrator that uses git worktrees to create isolated environments for Claude Code agents, solving the problem of shared working directories causing broken apps and messy git status.
LLM-Memory.net: Open-Source Memory System with Multi-Agent Infrastructure
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.