LLM Wiki
Overview
LLM Wiki is a tool designed to transform LLM agents into research and knowledge-base engines with persistent session memory. It enables users to conduct parallel multi-agent research, perform thesis-driven investigations, and compile findings into structured, Obsidian-compatible Markdown wikis. By ingesting diverse sources—including URLs, PDFs, and Git repositories—the tool synthesizes raw data into reports, playbooks, and implementation plans.
The platform is built for researchers, developers, and knowledge workers who need to manage complex information without hoarding raw chat transcripts. It supports various workflows such as truth-seeking audits, dataset inventory tracking, and artifact generation. LLM Wiki is compatible with multiple environments, shipping as a plugin for Claude Code and OpenAI Codex, an OpenCode instruction file, or a portable AGENTS.md file.
How to use it?
- Install the LLM Wiki plugin or instruction file into your preferred AI agent environment.
- Initiate a topic wiki using the command-line interface to dispatch research agents.
- Provide your thesis or research claim to allow agents to investigate across multiple angles.
- Review the compiled Markdown artifacts, which synthesize ingested sources into structured reports and knowledge bases.
Features
Parallel multi-agent research, Automated source ingestion, Session memory management, Thesis-driven investigation, Obsidian-compatible output, Truth-seeking audits
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