LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
Create knowledge bases for AI agents, enabling research, data collection, and artifact generation in a collaborative environment (Claude Code required)
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Free · no card · unsubscribe anytimeLLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
llm-wiki has 1.2k stars on GitHub. It has been forked 110 times. llm-wiki is written mainly in Python. It has been in active development since 2026. llm-wiki is available under the MIT license. Its main topics are agentic-ai, agentic-skills, agentic-workflow, claude-code.
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 an open-source project. It is released under the MIT license.
Yes. llm-wiki is free and open source — you can use, modify and self-host it.
llm-wiki is available under the MIT license.
llm-wiki is written mainly in Python.
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