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 building AI agents and multi-agent applications, offering components from a no-code UI for prototyping to an event-driven core for scalable, distributed systems. It supports various agentic workflows and integrations via extensions.

Best For

Building scalable, distributed multi-agent AI systems and conversational applications with Python or no-code.

Avoid If

Your project does not involve AI agents or require multi-agent orchestration.

Strengths

  • +Supports building conversational single and multi-agent applications.
  • +Provides an event-driven core for scalable, distributed multi-agent AI systems.
  • +Offers multiple abstraction levels, including a no-code UI (AutoGen Studio), Python scripting (AgentChat), and a foundational core.
  • +Facilitates deterministic and dynamic agentic workflows for business processes or research.
  • +Includes extensions for external services, such as OpenAI models, Model-Context Protocol (MCP) servers, and Docker-based code execution.
  • +Supports distributed agents through runtimes like GrpcWorkerAgentRuntime.

Weaknesses

  • −Requires Python 3.10 or newer, which might restrict compatibility for projects on older Python versions.
  • −The framework's modularity, while powerful, may present a learning curve for understanding its various components (Core, AgentChat, Studio, Extensions).
  • −Focus on multi-agent systems could introduce overhead and complexity for simpler, single-agent automation tasks.
  • −External service integrations, such as OpenAI, require specific extension installations (e.g., autogen-ext[openai]).

Project Health

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

Stars

60,595

Open Issues

995

Last Commit

139d ago

Commit Frequency

<1x/week

Bus Factor Score

9 / 10

Maintainers

100

Latest Version

python-v0.7.5

Total Releases

86

Repo Age

3y

Forks

9,141

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

Agents manage their state through conversational context and event-driven interactions, facilitating communication and collaboration within multi-agent systems.

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 August 2026

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