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ag2
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ag2

Active·★ 5.0k·Apache-2.0·Updated 2026-10-27
★ Essential★ Trending

AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and enabling multiple agents to cooperate on tasks. The README says it evolved from AutoGen, is fully open source and is currently maintained by a group of volunteers from several organisations, with administrators Chi Wang and Qingyun Wu reachable by email.

It requires Python 3.10 or newer but below 3.14 and installs from PyPI as `ag2` (also available under the alias `autogen`), for example `pip install ag2[openai]`, with minimal dependencies by default and extras for the features you need. API keys are kept in a config file (the examples use OAI_CONFIG_LIST) that you should keep out of source control. The README then walks through concepts: conversable agents, human in the loop, orchestrating multiple agents, tools and advanced agentic design patterns, plus example applications. The GitHub licence field shows a custom name, so check the repository's LICENSE.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-24.

License
Apache-2.0
Latest release
v1.2.1 · 2026-10-21
Last commit
2026-10-24
Contributors
522
Forks
758
Open issues and PRs
77
First published
2024-11-11
PyPI package
ag2 1.2.1 · 39,740 downloads last week

Source: GitHub, npm and PyPI public APIs.

#AI Agents#Multi-Agent Systems#LLM Orchestration#Python#Agentic AI#Coding#Communication
$ Install
$ pip install ag2[openai]
↗ Visit site★ GitHub
01

Features

01Inter-agent communication capabilities
02Support for various Large Language Models (LLMs)
03Integration of external tools and functions
04Flexible autonomous and human-in-the-loop workflows
05Rich multi-agent orchestration patterns (e.g., group chats, nested chats)
02

Why choose it

+Mature multi-agent model with conversable agents, human in the loop, tools and orchestration of several agents.
+Installs from PyPI as `ag2` (alias `autogen`) with minimal default dependencies and optional extras.
+Documentation, example applications and a paper to cite.
+Actively maintained: updated within the last few days by a community of volunteers.
03

Trade-offs

!It is a framework you code against, and the README notes it is maintained by a group of volunteers rather than a single company.
!It requires Python 3.10 to 3.13 (below 3.14) and an LLM API key stored in a config file you must keep out of version control.
!The licence field on GitHub is a custom name, so read LICENSE before use, and it can be confused with the original AutoGen project it evolved from.
04

Maintenance check

ActiveChecked: 2026-10-25
Last commit
2026-10-25
Commits, last 90 days
100+
Releases, last 90 days
12
Latest release
v1.2.1 (2026-10-21)
Open issues
75
Recent issues with at least one comment
5/11
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 21, 9, 11, 13, 16, 7, 25, 48, 22, 30, 32, 6

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

Most discussed open issues

  • #3293 [Feature Request] Reference example: AG2 agent calling a paid tool via HTTP 402 settled in Nano4 comments · 2026-09-25
  • #3409 [Feature Request]: ag2.ag_ui: configurable AG-UI server usable from any ASGI framework2 comments · 2026-10-12
  • #3300 Optional durable memory integration for AG22 comments · 2026-09-27
  • #3204 [Feature Request]: Add an official HOL Guard tool-execution middleware example2 comments · 2026-08-23
  • #3465 [Bug]: A2A polling drops text appended to an artifact after its first snapshot1 comments · 2026-10-21

Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.

05

Compatibility

OpenAI API
Native
Verified via docs
Python
Supported
Verified via docs
06

Quick start

1
$ pip install ag2[openai]
07

Use cases

↳Orchestrating AI agents for collaborative problem-solving and task automation.
↳Integrating human feedback and oversight into AI agent workflows.
↳Extending agent capabilities through tool use for external data and API interactions.
08

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On this page
01Features02Why choose it03Trade-offs04Maintenance check05Compatibility06Quick start07Use cases08Alternatives
ag2ai /
ag2
↗

AutoGen's successor: open-source framework for multi-agent AI applications

5.0k758Apache-2.0
Last commit1d ago
StatusActive
CategoryMulti-Agent
Contributors522
Latest releasev1.2.1
Links
Documentation↗Discussion↗Issues↗Releases↗
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