# LLM Wiki Newsroom

[](LICENSE)

**A multi-agent AI knowledge base run by a five-role "newsroom" — open-source, local-first, no API keys, no vendor lock-in.** Drop articles, documents, and PDFs into the `raw/` folder, type a single command, and the newsroom — powered by an agent like Claude Code — reads them, extracts entities, concepts, and relationships, and organizes everything into a fully cross-referenced wiki, a structured and persistent alternative to RAG. Unlike most takes on the idea, the agent that *writes* a page is never the one that *reviews* it, and the authoring guidelines evolve themselves over time. Every new document you add also enriches the existing pages. This repo ships with a small example corpus — the debate over what "open source" means for AI — under `wiki/`, but the framework is domain-agnostic.

> Most knowledge tools leave the *finding* to you. This project **makes the AI read and understand** your collected documents first, then organizes them into a wiki — with cross-references between pages, automatic flagging of conflicting claims, and per-topic synthesis built in from the start, so later retrieval is fast.

> **See the output before installing** — the example corpus shipped in this repo is published as a browsable **[GitHub Wiki](https://github.com/alfadur7/llm-wiki-newsroom/wiki)** (no clone needed). It's a rendered static snapshot of the `wiki/` folder; the interactive graph below runs locally.


<sub>The interactive knowledge graph (`graph/graph.html`) — every page a node, every wikilink an edge, color-coded by auto-detected cluster, with a live physics layout and filter/search built in. Shown here on a larger private deployment (~2,300 nodes) to convey how it scales; **this repo ships a d