llm-wiki-agent
Eliminates manual documentation overhead by auto-extracting and linking knowledge from source materials, reducing onboarding time and keeping institutional k…
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
- Ask Claude to index documentation files and automatically create searchable wiki pages from them.
- Generate interconnected knowledge base entries by feeding multiple source documents to Claude at once.
- Find related concepts across your codebase by querying the maintained wiki for linked documentation.
Eliminates manual documentation overhead by auto-extracting and linking knowledge from source materials, reducing onboarding time and keeping institutional knowledge synchronized with evolving codebases.
Engineering teams managing complex projects needing self-maintaining reference systems without external infrastructure or API dependencies.
https://github.com/SamurAIGPT/llm-wiki-agent
By SamurAIGPT
How to Get It
claude plugins install SamurAIGPT/llm-wiki-agent
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Index documentation files and automatically create searchable wiki pages from them
Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News
- We gave our agent memory: building an LLM Wiki over sources that never sit still — Hacker News · 5 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 3,547 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 3,547 GitHub stars; contributors unknown; last commit 0d ago; license MIT.