piLoci MCP is a self-hosted memory server for AI agents that exposes project-scoped memory storage and retrieval through the Model Context Protocol. Built to run on Raspberry Pi 5, it provides semantic recall, project listing, and user identity tools. Teams connect Claude Desktop, Codex, and other MCP clients to share persistent context without sending memory data to cloud services.
Use cases
- AI agent retrieves relevant project memories before starting a new task
- Team maintains shared context across multiple AI-assisted coding sessions
- Research agent searches historical project knowledge for relevant precedents
- Onboarding agent accesses project documentation and architecture decisions
- Cross-project agent queries only memories from authorized project scopes
Key features
- Claude Desktop
- Codex
- Cursor
Frequently Asked Questions
- What MCP tools does piLoci expose?
- The server exposes four main tools: memory (store new information), recall (semantic search), listProjects (enumerate accessible projects), and whoAmI (check current user identity).
- Does piLoci MCP require Raspberry Pi hardware?
- No, while optimized for Raspberry Pi 5, piLoci MCP runs on any Linux server with Node.js. It requires approximately 4GB RAM and 2GB storage.
- How does project isolation work?
- Each project has strict memory isolation. Users can only recall from projects they are authorized to access, preventing cross-project information leakage in multi-tenant team environments.