autogen
A programming framework for agentic AI
Decision gist · record as of 2026-08-14
Yes, if you need a multi-agent framework and accept maintenance-mode status. The package is production-stable, actively maintained for security, has low install friction, and supports Python 3.10+. However, be aware it receives only critical fixes and security patches—no new features. If you need active development and new capabilities, consider ag2 instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10 and an LLM API configuration (e.g., OpenAI key in OAI_CONFIG_LIST file).
- Low friction installation with a pure Python wheel.
- Actively maintained with recent releases; marked as production-stable but now in maintenance mode (security and critical fixes only), with the actively developed version available separately as ag2.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; suitable for most commercial projects.
last release 2026-06-30 (45 days) · last repo commit 2026-07-08 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 161,208 downloads/mo, #10,641 on PyPI
Alternatives
Verify before relying
pip install autogen[openai]
from autogen import ConversableAgent, LLMConfig
llm_config = LLMConfig.from_json(path="OAI_CONFIG_LIST")
agent = ConversableAgent("agent", llm_config=llm_config)
response = agent.run(recipient=other_agent, message="task")- Whether the maintenance-mode status affects long-term stability for new projects or only blocks new features.
- Performance characteristics when orchestrating many agents or handling large conversation histories.
- Whether tiktoken dependency is required for all use cases or only for token counting with certain LLMs.
What it is and what it does
Autogen is a programming framework for building AI agents that work together to solve tasks. It provides a set of agent types (ConversableAgent being the core) that can send and receive messages, generate replies using language models or tools, and be orchestrated into multi-agent systems using patterns like group chats, swarms, and nested chats. The framework handles agent-to-agent communication, tool registration and execution, human-in-the-loop workflows, and integration with various LLMs.
The package is built on pydantic for configuration, httpx for HTTP requests, and tiktoken for token counting. It depends on python-dotenv for API key management and termcolor for terminal output. This is the original AutoGen repository, now in maintenance mode receiving security and critical bug fixes only; the actively developed version is published separately as ag2.
Use it for
- Build a multi-agent code review system where one agent writes code and another reviews it without rewriting.
- Create a lesson planning workflow with specialized agents for planning, curriculum review, and feedback.
- Implement autonomous workflows where agents collaborate to research, analyze, and summarize information.
- Develop human-in-the-loop systems where AI agents handle tasks but escalate decisions to human reviewers.
- Orchestrate complex problem-solving by having agents with different expertise work together on a shared goal.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a multi-agent framework and accept maintenance-mode status.
The package is production-stable, actively maintained for security, has low install friction, and supports Python 3.10+. However, be aware it receives only critical fixes and security patches—no new features. If you need active development and new capabilities, consider ag2 instead.
Install
autogen on PyPI
Before you install
Low friction installation with a pure Python wheel. Actively maintained with recent releases; marked as production-stable but now in maintenance mode (security and critical fixes only), with the actively developed version available separately as ag2.
Requires Python >= 3.10 and an LLM API configuration (e.g., OpenAI key in OAI_CONFIG_LIST file).
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions; suitable for most commercial projects.
Quickstart
pip install autogen[openai]
from autogen import ConversableAgent, LLMConfig
llm_config = LLMConfig.from_json(path="OAI_CONFIG_LIST")
agent = ConversableAgent("agent", llm_config=llm_config)
response = agent.run(recipient=other_agent, message="task")Verify before relying
- Whether the maintenance-mode status affects long-term stability for new projects or only blocks new features.
- Performance characteristics when orchestrating many agents or handling large conversation histories.
- Whether tiktoken dependency is required for all use cases or only for token counting with certain LLMs.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesanyiofast-dependshttpxpackagingpydanticpython-dotenvpyyamltermcolortiktoken |
| Maintenance | Actively maintained 45 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 161,208 / month, #10,641 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: PydanticFramework :: Pydantic :: 2Intended Audience :: DevelopersIntended Audience :: Information TechnologyLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonTopic :: Software DevelopmentTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Application FrameworksTopic :: Software Development :: Libraries :: Python Modules |
Evidence: autogen-0.14.1-py3-none-any.whl
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See also ag2 · autogen-agentchat · atdd · autogen-core · pyautogen · autogen-ext · agent-framework-core · npmai-agents · agent-framework · langgraph