Local LLM
Skills-Manager
Write an agent skill once, sync it to 32 AI coding tools.
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View guide →Self-hosted terminal AI assistant and Python agent framework on Pydantic AI.
pydantic-deepagents is an open-source dev tools project by vstorm-co (vstorm-co/pydantic-deepagents on GitHub). It has 1,076 GitHub stars and 134 forks, is released under the MIT license, and was last updated on GitHub on 15 September 2026.
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.
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Free and open — grab the source, star the repo, and start creating.