FrameworkPicker

AutoGen

Profile

Overview

The bottom line — what this framework is, who it's for, and when to walk away.

Bottom Line Up Front

AutoGen is a Python framework for developing AI agents and applications, ranging from no-code prototyping to scalable multi-agent systems. It offers a modular architecture, enabling conversational agents, complex workflows, and integration with external services. The framework supports research and distributed applications.

Best For

Building conversational multi-agent AI applications, research, and scalable business workflows.

Avoid If

no data

Strengths

  • +Supports no-code agent prototyping via AutoGen Studio.
  • +Provides a programming framework for building conversational single and multi-agent applications (AgentChat).
  • +Offers an event-driven core for building scalable multi-agent AI systems.
  • +Facilitates deterministic and dynamic agentic workflows for business processes.
  • +Enables research on multi-agent collaboration.
  • +Supports distributed agents for multi-language applications through extensions like GrpcWorkerAgentRuntime.
  • +Extensible with built-in and community components for external services, including OpenAI API and Docker for code execution.

Weaknesses

  • −no data

Project Health

Is this project alive, well-maintained, and safe to bet on long-term?

Stars

59,928

Open Issues

969

Last Commit

108d ago

Commit Frequency

<1x/week

Bus Factor Score

9 / 10

Maintainers

100

Latest Version

python-v0.7.5

Total Releases

86

Repo Age

2y 11mo

Forks

9,019

Monthly Downloads

1.2M

last 30 days

Versions Published

54

Known Vulnerabilities

0None

Dependent Repos

0

public repos using this

Fit

Does it support the workflows, patterns, and capabilities your team actually needs?

State Management

The framework manages state through conversational message exchanges and event-driven interactions between agents.

Perspective

Your expertise shapes what we build next.

We build for engineers who make real architectural decisions. If something is missing, inaccurate, or could be more useful — we want to hear it.

Last updated: 24 July 2026

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