LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
LLM Wiki is a system that uses AI agents to research sources, compile knowledge bases, organize project briefs, and answer questions from the resulting wiki. It is used to turn rough ideas and investigations into structured, reusable knowledge for agents, including Claude Code, Codex, and OpenCode. The catalogue entries are commands, hooks, skills, instructions, and a plugin that implement its workflow.
This repository also configures its own agents. See what llm-wiki tells them →
Plugin Claude Code
Bundles 1 skill, 28 commands · 1,018 tokens together
LLM-compiled knowledge base with Project Knowledge Checkpoints Export, personal specialist skills, trusted adapters, Idea-to-Project workflows, compact queries, inventory, datasets, ingestion, audits, sessions, research, and outputs.