alfadur7/llm-wiki-newsroom

LLM Wiki Newsroom

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 (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