MCP server that enables AI agents to search, fetch, and analyze a self-maintaining markdown knowledge base with provenance, drift detection, and canonical definitions.
MCP server that connects AI agents to a shared organizational knowledge base, allowing them to query company-specific context like pricing, team, and strategy.
A self-hosted MCP server that gives AI agents shared, long-term memory over a git-backed folder of markdown, enabling persistent knowledge search, read, and write without a database.
A local-first MCP server that provides a shared Markdown-based memory for AI coding agents, enabling cross-agent context persistence via tools like memory_search and memory_capture.
An MCP server providing durable, shared memory for coding agents, storing engineering knowledge as structured markdown engrams with semantic search via embeddings.