adk-python vs pydantic-deepagents
adk-python: ADK (Agent Development Kit) is an open-source, code-first Python framework designed for building, evaluating, and deploying sophisticated AI agents with high flexibility and control. It simplifies the creation and orchestration of agent workflows, supporting everything from simple tasks to complex multi-agent systems, while being model and deployment agnostic.; pydantic-deepagents: Pydantic-deep is a deep agent framework built upon pydantic-ai, extending it with advanced capabilities like planning, file system management, and subagent functionalities. It offers rich toolsets, structured output, and context management for developing sophisticated AI applications.
TL;DR
- You want Google's Apache-2.0, code-first toolkit with graph workflows, multi-agent hierarchies, a built-in dev UI, and evaluation tooling.
- Your team deploys on Google Cloud (Cloud Run or Vertex AI Agent Engine) or works across Python and ADK's other language editions.
- Your infrastructure is centred on Azure and .NET; Microsoft Agent Framework is tailored to that stack.
- You want a visual low-code workflow builder rather than writing Python code; n8n or Activepieces fit better.
Building sophisticated AI agents with advanced planning and sub-agent capabilities.
Side-by-Side Comparison
adk-pythonpydantic-deepagentsFeatures
adk-pythonpydantic-deepagentsUse Cases
adk-pythonpydantic-deepagentsBest For
adk-pythonpydantic-deepagentsFAQ
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