pydantic-deepagents — MCP Server by vstorm-co

by vstorm-co · MCP Server · ★ 874

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About pydantic-deepagents

Pydantic Deep Agents From framework to terminal -- autonomous AI agents that plan, code, and ship Docs &middot; PyPI &middot; CLI &middot; DeepResearch &middot; Examples <img src="ht

agent-frameworkai-agentsanthropicclaude-codeclicoding-agentdeep-researchdocker-sandboxllmsmcp

Quick Facts

Stars874
Forks97
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score53.798/100
Open Issues6
Last Updated2026-06-17
Created2025-11-29
Platformsclaude-code, cli, docker, mcp, python
Est. Tokens~17k

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Frequently Asked Questions

What is pydantic-deepagents?

pydantic-deepagents is Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI.. It is categorized as a MCP Server with 874 GitHub stars.

What programming language is pydantic-deepagents written in?

pydantic-deepagents is primarily written in Python. It covers topics such as agent-framework, ai-agents, anthropic.

How do I install or use pydantic-deepagents?

You can find installation instructions and usage details in the pydantic-deepagents GitHub repository at github.com/vstorm-co/pydantic-deepagents. The project has 874 stars and 97 forks, indicating an active community.

What license does pydantic-deepagents use?

pydantic-deepagents is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to pydantic-deepagents?

The top alternatives to pydantic-deepagents on Agent Skills Hub include linkedin-mcp-server, better-agents, ai-devkit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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