LLM locaux
Skills-Manager
Write an agent skill once, sync it to 32 AI coding tools.
★ 1,0 k étoilesMIT
Voir le guide →pydantic-deepagents est un projet de développement open source, créé par vstorm-co (vstorm-co/pydantic-deepagents sur GitHub). Il compte 1 076 étoiles sur GitHub et 134 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 15 septembre 2026.
Self-hosted terminal AI assistant and Python agent framework on Pydantic AI.
Get the source and move into the project folder.
Point it at the LLM provider of your choice.
Start the terminal agent inside your project directory.
Use the Python API to script multi-agent workflows of your own.
A Claude Code-style agent that lives in your shell.
Reads, edits, and runs code through real tools.
Docker sandbox keeps agent-run commands contained.
Subagents split work across parallel tasks.
Plugs into Model Context Protocol servers and tools.
Reusable skills plus restorable session checkpoints.
Download the source and enter the folder.
git clone https://github.com/vstorm-co/pydantic-deepagents.git
cd pydantic-deepagentsInstall the Python package and its dependencies.
pip install -e .Start the assistant; see the README for your model config.
# set your model API key first, then follow the README launch commandAn open-source, self-hosted terminal AI assistant plus the Python framework behind it, built on Pydantic AI at vstorm-co/pydantic-deepagents.
No. It runs on Pydantic AI, so you can point it at any supported model provider.
Yes. It is MIT licensed.
It is self-hosted and open source, so your code and prompts stay on your own machine.
Python, a model API key, and Docker if you want sandboxed execution.
Write an agent skill once, sync it to 32 AI coding tools.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.