lithos-mcp 0.1.1

Shared cognitive substrate for AI agents (local-first, Markdown-native, MCP)

Lithos

Shared memory for AI agents.

A local, privacy-first knowledge base that enables heterogeneous AI agents to share knowledge and coordinate work.

What It Is

Lithos is an MCP server that provides a shared knowledge store for AI agents running on your local infrastructure. Knowledge is stored as human-readable Markdown files (compatible with Obsidian) while providing fast full-text and semantic search for agents.

Who It's For

• Teams running multiple AI agents (Agent Zero, OpenClaw, Claude Code, custom agents)
• Developers who want agents to share discoveries and avoid duplicate work
• Anyone who needs agent knowledge to be inspectable and version-controlled

Key Features

• 📁 Markdown-first: All knowledge stored as Obsidian-compatible .md files
• 🔍 Fast search: Tantivy full-text + ChromaDB semantic search
• 🕸️ Knowledge graph: NetworkX-powered relationships via [[wiki-links]]
• 🤝 Multi-agent coordination: Task claiming, findings sharing, status tracking
• 🔌 MCP interface: Works with any MCP-compatible agent or tool
• 🏠 Local & private: No cloud dependencies, you own your data

Quickstart

claude mcp add --transport sse lithos http://localhost:8765/sse

Tech Stack

Component	Technology
Storage	Markdown + YAML frontmatter
Full-text search	Tantivy
Semantic search	ChromaDB + sentence-transformers
Knowledge graph	NetworkX
Agent interface	MCP (FastMCP)
File sync	watchdog