---
id: pyautogen
version: "0.10.0"
license: MIT License Copyright (c) Microsoft Corporation. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to… (full text in the JSON record)
license_treatment: permissive
maintenance: aging
---

# pyautogen — A programming framework for agentic AI. Proxy package for autogen-agentchat.

License: permissive · Maintenance: aging · Downloads: 633.6K/mo

## What it is and what it does

pyautogen is a proxy package that forwards all imports to autogen-agentchat, Microsoft's framework for building applications with multiple AI agents. It simplifies the upgrade path for users who were on version 0.2.x by providing a single import point, though the package itself does not contain the implementation—it delegates to its single runtime dependency, autogen-agentchat.

The framework is designed to let agents operate independently or work with human oversight, coordinating tasks and sharing information. Users migrating from 0.2.x should consult the migration guide, as the API has changed. The package requires Python 3.10 or later and is distributed under the MIT License.

Use it for:

- Building autonomous multi-agent systems where agents collaborate to solve complex tasks without human intervention.
- Creating interactive applications where AI agents work alongside human operators to accomplish goals.
- Prototyping agent-based workflows and testing different agent coordination strategies.
- Developing conversational systems with multiple specialized agents handling different domains or responsibilities.
- Migrating existing 0.2.x AutoGen code to the latest architecture using the provided migration guide.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

pyautogen is a proxy package that redirects to autogen-agentchat, a framework for building multi-agent AI applications where agents can operate autonomously or collaborate with humans.

Yes, if you are building multi-agent AI applications and can target Python 3.10+. The proxy design makes it a straightforward entry point to autogen-agentchat. However, note that the proxy package itself has not been released in 395 days—you are relying on the underlying autogen-agentchat package for active maintenance. If you are on 0.2.x, plan for a migration effort using the documented guide.

## Install

pip install pyautogen
uv add pyautogen
poetry add pyautogen

## Installing pyautogen

Before you install: Low install friction with a single runtime dependency. Maintenance status is aging—the package has not been released for 395 days, though it remains a maintained proxy pointing to the actively developed autogen-agentchat package.

License in practice: MIT License permits unrestricted use, modification, and distribution with minimal restrictions, making it suitable for both commercial and open-source projects.

Quickstart:

pip install pyautogen

from autogen_agentchat.agents import AssistantAgent

agent = AssistantAgent(name="helper")

Requires Python 3.10 or later. This is a proxy package; actual functionality depends on autogen-agentchat.

Verify before relying:

- Whether autogen-agentchat's latest version is production-ready or still evolving significantly.
- What breaking changes occurred between 0.2.x and the current version that users should be aware of.
- Performance characteristics and scalability limits for typical multi-agent deployments.

## Package facts

- License: MIT License Copyright (c) Microsoft Corporation. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: aging
- Downloads: 633.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

multi-agent AI framework, autonomous agent orchestration, agent-based AI applications, collaborative AI agents, agent communication framework, AI agent coordination, agentic AI development, multi-agent-systems, ai-orchestration, agent-framework

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