Shared cognitive substrate for AI agents (local-first, Markdown-native, MCP)
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# Lithos **Shared memory for AI agents.** A local, privacy-first knowledge base that enables heterogeneous AI agents to share knowledge and coordinate work. ## The Problem When agents cannot share what they know, every agent starts from zero. Work is duplicated, discoveries are lost, and coordination breaks down. Lithos solves this by providing a **persistent, shared knowledge layer** that compounds in value over time. ## 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 Lithos is the **Knowledge Layer** for teams running AI agents in production. Just as Alation coined the term "Knowledge Layer" for enterprise data governance, Lithos provides the equivalent for AI agent systems: a structured, searchable, shared memory that **compounds in value** the more it is used. Each agent interaction enriches the knowledge base, making every subsequent agent smarter and faster. - 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 - **🧠 Research cache**: One-call freshness check so agents skip redundant research — returns hit/miss/stale with update guidance - **🔗 URL deduplication**: Automatic detection and prevention of duplicate notes from the same source URL - **🧬 Provenance tracking**: Declare which notes a synthesis is derived…
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