adk-python vs oreilly-ai-agents
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.; oreilly-ai-agents: This repository serves as a comprehensive code companion for O'Reilly's AI Agents courses, guiding users from foundational concepts to advanced implementation and deployment. It explores various AI agent frameworks like LangChain, CrewAI, AutoGen, and LangGraph, alongside practical topics such as agent evaluation and building custom agents.
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.
Developing and deploying AI agents for automating complex tasks.
Side-by-Side Comparison
adk-pythonoreilly-ai-agentsFeatures
adk-pythonoreilly-ai-agentsUse Cases
adk-pythonoreilly-ai-agentsBest For
adk-pythonoreilly-ai-agentsFAQ
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