LLM Wiki
Introduction: A knowledge base compiler that turns LLM agents into research engines with session memory, parallel research, and artifact generation.
Category: AI Research
Overview
LLM Wiki is a system that enables LLM agents to conduct deep, multi-agent research and compile findings into structured, portable Markdown knowledge bases. It acts as an orchestration layer that manages session memory, source ingestion, and truth-seeking audits to create high-quality deliverables.
How to use it?
Users install the tool as a plugin for Claude Code, OpenAI Codex, or via an AGENTS.md file. By running commands, users can initiate parallel research tasks, ingest various data sources, and generate compiled reports, playbooks, or study guides.
Features
Parallel multi-agent research, Automated source ingestion, Session memory management, Thesis-driven investigation, Obsidian-compatible output, Truth-seeking audits
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