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1 pointsby kacper-vstormhá 7 meses0 comments

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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

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/e...

Quick demo video: 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!