llmwiki-serve is a Python package that turns existing Markdown, Obsidian-style, or LLMWiki folders into clean, cited, agent-readable context. It is designed for retrieval-augmented generation (RAG) and autonomous AI agents, supporting the Model Context Protocol (MCP). The tool is open source under Apache-2.0 and helps bridge personal knowledge bases with LLM workflows.
In the AI & ML space, llmwiki-serve takes a focused approach. It focuses on converting personal knowledge bases (Markdown/Obsidian) into structured, citable context that LLM agents can reliably use. It is built as an open-source project for AI developers and researchers. The project is open source (Apache-2.0). It ships for the command line and API.
Knowledge Bridge Labs builds and maintains llmwiki-serve, and it first shipped in 2026. The project is developed in the open on GitHub with 21 commits in the last 90 days. Key capabilities include Markdown Serving, Obsidian Integration, and Cited Context. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do