agent-framework

★ 14.3k

adk-java

★ 1.8k

agent-framework vs adk-java

Q: Which is better, agent-framework or adk-java?

By GitHub stars, agent-framework has more community adoption, but the best choice depends on your specific use case.

agent-framework: Microsoft Agent Framework is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents. It supports both .NET and Python, offering features from simple chat agents to complex multi-agent workflows with graph-based orchestration.; adk-java: The Agent Development Kit (ADK) for Java is an open-source, code-first toolkit designed for building, evaluating, and deploying sophisticated AI agents. It enables developers to define agent behavior, orchestration, and tool use directly in Java code for fine-grained control and robust integration with Google Cloud services.

TL;DR

agent-frameworkMulti-Agent · ★ 14.3k

When to choose:

You are starting a new Microsoft-ecosystem agent project in Python or .NET and want the official successor to AutoGen.
You need built-in workflow checkpointing, middleware, OpenTelemetry tracing, declarative YAML agents, and a DevUI under MIT.

When to skip:

You only need a small, single-file Python agent without a multi-package framework; Pydantic AI is lighter.
You rely on Chinese LLM providers and realtime voice pipelines out of the box; AgentScope has dedicated support for those.

Read agent-framework full review →

adk-javaMulti-Agent · ★ 1.8k

Building advanced AI agents with fine-grained control over their behavior and orchestration.

Read adk-java full review →

Side-by-Side Comparison

Field

agent-framework

adk-java

Features

agent-framework

01Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.

02AF Labs for experimental features including benchmarking, reinforcement learning, and research initiatives.

03Interactive DevUI for agent development, testing, and debugging workflows.

04Full framework support for both Python and C#/.NET with consistent APIs.

05Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging.

adk-java

01Rich Tool Ecosystem for diverse agent capabilities and Google ecosystem integration

02Code-First Development for defining agent logic, tools, and orchestration in Java

03Modular Multi-Agent Systems for designing scalable applications with specialized agents

04Built-in Development UI for testing, evaluating, debugging, and showcasing agents

05Integration with A2A protocol for remote agent-to-agent communication

Use Cases

agent-framework

↳Developing simple chat agents.

↳Building complex multi-agent workflows.

↳Orchestrating AI agents using graph-based methodologies.

adk-java

↳Building advanced AI agents with fine-grained control over their behavior and orchestration.

↳Integrating AI agents tightly with existing services, especially within Google Cloud.

↳Designing and deploying scalable, modular multi-agent systems for complex tasks.

Best For

agent-framework

Most PopularEssentialTrending

adk-java

EssentialTrending

FAQ

What is the difference between agent-framework and adk-java?

Both agent-framework and adk-java are in the Multi-Agent category. agent-framework has 14.3k stars, while adk-java has 1.8k stars.

Which is better, agent-framework or adk-java?

The best choice depends on your use case. Choose agent-framework if Developing simple chat agents., and adk-java if Building advanced AI agents with fine-grained control over their behavior and orchestration..

Is agent-framework free or open source?

Yes, agent-framework is open source on GitHub (MIT).

Is adk-java free or open source?

Yes, adk-java is open source on GitHub (Apache-2.0).

Cloud Infrastructure

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Alternatives to agent-framework →Alternatives to adk-java →agent-framework details →adk-java details →Microsoft AutoGen vs agent-framework →adk-python vs agent-framework →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

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