Microsoft AutoGen

★ 61.6k

adk-java

★ 1.8k

Microsoft AutoGen vs adk-java

Q: Which is better, Microsoft AutoGen or adk-java?

By GitHub stars, Microsoft AutoGen has more community adoption, but the best choice depends on your specific use case.

Microsoft AutoGen: AutoGen is a versatile framework for developing multi-agent AI applications that can operate autonomously or in collaboration with humans. It offers a layered, extensible design, including Core and AgentChat APIs, along with developer tools like AutoGen Studio for no-code GUI development and AutoGen Bench for performance evaluation.; 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

Microsoft AutoGenMulti-Agent · ★ 61.6k

When to choose:

You maintain an existing AutoGen v0.2 or v0.4 system, or want to run research artefacts built on it such as Magentic-One and AutoGen Bench.
You want to reference its layered event-driven architecture while planning a migration to Microsoft Agent Framework.

When to skip:

You are starting a brand-new project; Microsoft states AutoGen is in maintenance mode with no new features and recommends Microsoft Agent Framework.
You expect AutoGen Studio to be a turnkey production web app (the README notes Studio is for prototyping only).

Read Microsoft AutoGen 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

Microsoft AutoGen

adk-java

Features

Microsoft AutoGen

01Framework for multi-agent AI applications

02Supports autonomous or human-collaborative agents

03Layered and extensible design (Core, AgentChat, Extensions APIs)

04No-code GUI for workflow prototyping (AutoGen Studio)

05Benchmarking suite for agent performance (AutoGen Bench)

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

Microsoft AutoGen

↳Developing multi-agent AI applications

↳Building specialized AI assistants (e.g., web browsing, domain experts)

↳Prototyping multi-agent workflows using a no-code GUI

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

Microsoft AutoGen

Most PopularEssentialTrending

adk-java

EssentialTrending

FAQ

What is the difference between Microsoft AutoGen and adk-java?

Both Microsoft AutoGen and adk-java are in the Multi-Agent category. Microsoft AutoGen has 61.6k stars, while adk-java has 1.8k stars.

Which is better, Microsoft AutoGen or adk-java?

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

Is Microsoft AutoGen free or open source?

Yes, Microsoft AutoGen 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 Microsoft AutoGen →Alternatives to adk-java →Microsoft AutoGen details →adk-java details →Microsoft AutoGen vs CrewAI →Microsoft AutoGen vs agent-framework →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

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