RAG & Wissen
OpenKB
OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB
★ 4,8 Tsd. SterneApache-2.0
Anleitung ansehen →llm-wiki-agent ist ein Open-Source-Projekt aus der Kategorie RAG & Wissen von SamurAIGPT (SamurAIGPT/llm-wiki-agent auf GitHub). Es hat 3.610 Sterne auf GitHub und 418 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 5. Oktober 2026 auf GitHub aktualisiert.
A personal knowledge base that builds itself — drop in sources, get a persistent interlinked wiki.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
The agent ingests sources and keeps entity, concept and synthesis pages updated and interlinked.
Claude Code, Codex, OpenCode and Gemini CLI are all supported — no new platform to learn.
It rides on the agent CLI you already have set up, per the project description.
Many source formats auto-convert at ingest, with advanced arXiv-paper and batch-directory conversion.
Build the graph and find the most connected nodes; contradictions and gaps across sources are surfaced.
Vault symlink pattern, graph-view filters and Dataview queries over the generated frontmatter.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/SamurAIGPT/llm-wiki-agent.git
cd llm-wiki-agentGet the project and open it with your agent CLI, which reads its instruction file automatically.
git clone https://github.com/SamurAIGPT/llm-wiki-agent.git
cd llm-wiki-agentStart your agent (claude, codex, opencode or gemini) and ask it to ingest a source, then query the wiki.
claude # reads CLAUDE.md + .claude/commands/
# then: "Ingest this paper: raw/papers/llama2.md"It is maintained by SamurAIGPT on GitHub (SamurAIGPT/llm-wiki-agent), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
No API key for the tool itself — it works through Claude Code, Codex, OpenCode or Gemini CLI, so you only need your existing access to one of those.
Compared with classic RAG over raw documents, llm-wiki-agent's distinguishing focus is: a personal knowledge base that builds itself — drop in sources, get a persistent interlinked wiki. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/SamurAIGPT/llm-wiki-agent (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.