I just released Pydantic-DeepAgents, an open-source Python framework built on top of Pydantic-AI for creating production-grade autonomous agents. It helps developers quickly build agents with features like planning, filesystem ops, subagent delegation, and extensible skills.
Key features:
Multiple Backends: StateBackend (in-memory), FilesystemBackend, DockerSandbox, CompositeBackend
Rich Toolsets: TodoToolset, FilesystemToolset, SubAgentToolset, SkillsToolset
File Uploads: Upload files for agent processing with run_with_files() or deps.upload_file()
Skills System: Extensible skill definitions with markdown prompts
Structured Output: Type-safe responses with Pydantic models via output_type
Context Management: Automatic conversation summarization for long sessions
Human-in-the-Loop: Built-in support for human confirmation workflows
Streaming: Full streaming support for agent responses
There's a demo app example in the repo: https://github.com/vstorm-co/pydantic-deepagents/tree/main/e...
Quick demo video: https://drive.google.com/file/d/1hqgXkbAgUrsKOWpfWdF48cqaxRh...
And check the README for a screenshot overview.
Repo: https://github.com/vstorm-co/pydantic-deepagents
Feedback and contributions welcome! If you're into AI agents or Python automation, I'd love to hear thoughts.
