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The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Build Clawdbot 🦞· APIs for Lovable · Bo…
insights-lm-public est un projet de RAG et connaissances open source, créé par theaiautomators (theaiautomators/insights-lm-public sur GitHub). Il compte 656 étoiles sur GitHub et 250 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 16 janvier 2026.
Self-hosted NotebookLM alternative — chat with documents, get audio summaries.
Self-host with Supabase, n8n, and the React frontend.
Add documents, links, and files as grounding material.
Ask questions answered from your sources.
Turn key material into listenable summaries.
Answers stay tied to your uploaded documents.
Generates listenable briefings from sources.
Your documents stay on your infrastructure.
Postgres-backed storage and auth.
Workflow automation under the hood.
Modern web UI for research work.
Download the source and move into the project folder.
git clone https://github.com/theaiautomators/insights-lm-public.git
cd insights-lm-publicEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is self-hosted and open source, so your sources stay on your own stack.
MIT licensed — commercial use allowed.
Supabase, n8n, and the React frontend; Docker simplifies deployment.
It uses your configured LLM providers; check the docs for setup.
Semantic search and RAG help it scale; very large sets need tuning.
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Build Clawdbot 🦞· APIs for Lovable · Bo…
A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.
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Air-gapped, open-source NotebookLM alternative that turns local documents into briefings, decks and podcasts.
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Self-hosted rag & knowledge: cometchat docs search + implementation bundles: add cha.
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