Advertise on Reddit Skip to Navigation Skip to Right Sidebar r/PydanticAI icon Go to PydanticAI r/PydanticAI • 10m ago VanillaOk4593 Pydantic-DeepAgents: Autono

Advertise on Reddit Skip to Navigation Skip to Right Sidebar r/PydanticAI icon Go to PydanticAI r/PydanticAI • 10m ago VanillaOk4593 Pydantic-DeepAgents: Autonomous Agents with Planning, File Ops, and More in Python Excited to share a new open-source project I just released: Pydantic-DeepAgents – a framework that extends Pydantic-AI with powerful “deep agent” capabilities, making it easy to build production-ready autonomous agents while keeping everything fully type-safe and lightweight. Repo: https://github.com/vstorm-co/pydantic-deepagents https://github.com/vstorm-co/pydantic-deepagents What it adds to Pydantic-AI It brings advanced agent patterns directly into the Pydantic-AI ecosystem: Built-in planning loops (TodoToolset) Filesystem access and file upload handling Subagent delegation Extensible skills system (define new behaviors with simple markdown prompts) Multiple state backends: in-memory, persistent filesystem, secure DockerSandbox, and CompositeBackend Automatic conversation summarization for long sessions Human-in-the-loop confirmation workflows Full streaming support Native structured outputs via Pydantic models (output_type) Key features list: Multiple Backends: StateBackend, FilesystemBackend, DockerSandbox, CompositeBackend Rich Toolsets: TodoToolset, FilesystemToolset, SubAgentToolset, SkillsToolset File Uploads: run_with_files() and deps.upload_file() Skills System: markdown-based skill definitions Structured Output: type-safe Pydantic responses Context Management: auto-summarization Human-in-the-Loop: built-in approval steps Streaming: token-by-token responses There’s a complete demo app in the repo that shows streaming UI, file uploads, reasoning traces, and human confirmation flows: https://github.com/vstorm-co/pydantic-deepagents/tree/main/examples/full_app https://github.com/vstorm-co/pydantic-deepagents/tree/main/e... Quick demo video: https://drive.google.com/file/d/1hqgXkbAgUrsKOWpfWdF48cqaxRht-8od/view?usp=sharing https://drive.google.com/file/d/1hqgXkbAgUrsKOWpfWdF48cqaxRh... Why it fits the Pydantic-AI philosophy It stays true to Pydantic’s strengths – strong typing, validation, and simplicity – while adding the agent-specific tools many of us have been missing. Compared to heavier alternatives (LangChain, CrewAI, AutoGen), it’s deliberately minimal, easier to customize, and includes production-oriented extras like Docker sandboxing out of the box. Would love feedback from the Pydantic-AI community – especially ideas on deeper integration with upcoming Pydantic features or new agent patterns! Stars, forks, issues, and PRs are very welcome. Thanks!