Agents IA
deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
★ 83,4 k étoilesMIT
Voir le guide →llm-wiki est un projet de agents IA open source, créé par nvk (nvk/llm-wiki sur GitHub). Il compte 1 379 étoiles sur GitHub et 131 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
Parallel multi-agent research that compiles wikis from any topic.
Anything you want a wiki about.
Agents investigate in parallel.
A thesis-driven knowledge base.
Ask questions, generate artifacts.
Parallel investigation.
Structured inquiry, not scraping.
Readable knowledge bases.
Pulls from many sources.
Ask the wiki questions.
Export reports and docs.
Download the source and move into the project folder.
git clone https://github.com/nvk/llm-wiki.git
cd llm-wikiEvery 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 an open-source project at nvk/llm-wiki with 131 forks.
Yes. MIT licensed.
Verify important claims; it compiles from public sources.
Your model API usage for the research agents.
Wikis, reports, and generated artifacts.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Deep Research with any LLM: in-depth reports in minutes, with an SSE API and MCP server built in
An autonomous research agent that plans, searches and writes cited reports from any data source
Microsoft's R&D-Agent: LLM agents that automate data-driven research, Kaggle modelling and LLM fine-tuning.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.