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LLM Wiki

Open source

A plugin that lets AI coding agents like Claude Code and Codex build and maintain Markdown knowledge bases through research, ingestion, compilation and querying.

llm-wiki.net
LLM Wiki homepage screenshot
GitHub stars
1.4k
Last commit
17 days ago
Repository age
6 months
Version
v0.25.0
Licence
MIT
Self-hosted
Yes

About LLM Wiki

llm-wiki is a toolkit for creating knowledge bases that are compiled and maintained by AI agents. Rather than being a standalone app, it ships as a plugin and skill set for agent environments such as Claude Code, OpenAI Codex and OpenCode, plus portable agents, and the resulting wikis are compatible with Obsidian.

The workflow covers capturing rough ideas, researching and shaping them, and promoting approved briefs into delivery projects. It includes parallel multi-agent research, thesis-driven investigation, collector catalogs, session memory, source ingestion, wiki compilation, audits, querying at different depths and artifact generation. Recent releases add lint exit gates, project knowledge exports, cross-runtime packaging and an optional framework for personal specialist review methods.

The project is written in Python and licensed under MIT, with a website and a changelog documenting frequent releases. It runs locally with your own agent subscription or API access. It suits developers and researchers who already work with AI coding agents and want a persistent, linked, reviewable wiki instead of scattered chat transcripts.

Key features

  • Parallel multi-agent research
  • Source ingestion and wiki compilation
  • Querying at different depths
  • Audits and lint gates for wiki quality
  • Support for Claude Code, Codex, and OpenCode
  • Obsidian-compatible output

Good fit for

  • →Building a research wiki with AI agents
  • →Keeping project knowledge across agent sessions
  • →Turning sources into linked Markdown notes
Built with
Python
Tags
knowledge-base
ai-agents
claude-code
wiki
obsidian
research
markdown
plugin
python

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