Agents IA
AutoGPT
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
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Voir le guide →SuperAGI est un projet de agents IA open source, créé par TransformerOptimus (TransformerOptimus/SuperAGI sur GitHub). Il compte 17 700 étoiles sur GitHub et 2 223 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 22 janvier 2025.
A dev-first framework for building and running autonomous AI agents.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Goal-driven plan-and-execute agents.
Built for developers, with GUIs and toolkits.
Run and monitor multiple agents.
Extend agents with plugins and tools.
Permissive license.
A landmark of the 2023 agent wave.
Download the source and move into the project folder.
git clone https://github.com/TransformerOptimus/SuperAGI.git
cd SuperAGICreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at TransformerOptimus/SuperAGI and has attracted 2223 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
The repo's last push was January 2025, so assume maintenance has stopped. For active development, look at currently-pushed frameworks in this collection instead.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
EvoAgentX — a framework for building self-evolving ecosystems of AI agents.
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Yohei Nakajima's autonomous task agent - now a self-building agent framework in Python
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Vercel's open framework for building agents that run anywhere.
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si SuperAGI ne vous convient pas.
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Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de SuperAGI — continuez à explorer de part et d'autre.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
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Vector search plus structured filtering in one database.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.