AG2 - AI Agent Frameworks Tool

Overview

AG2 (formerly AutoGen) is an open-source platform for building and orchestrating AI agents to solve complex, multi-step problems. The project focuses on enabling multi-agent interactions, flexible tool invocation, and human-in-the-loop collaboration patterns so developers can compose agents, tools, and workflows that leverage large language models (LLMs). AG2 provides abstractions for agent roles, communication, and coordination, making it easier to prototype both single-agent assistants and multi-agent systems that divide and conquer tasks. Designed for integration with a variety of LLM providers and adapters, AG2 emphasizes extensibility and interoperability: teams can connect different models, custom tools, and human inputs to create hybrid workflows. According to the GitHub repository, AG2 is actively maintained under an Apache-2.0 license and has attracted a broad contributor base, indicating maturity for production experimentation and research use. Its modular approach targets use cases such as automated data-processing pipelines, collaborative problem solving, and orchestrated agent tool usage with human oversight.

GitHub Statistics

• Stars: 4,022
• Forks: 517
• Contributors: 431
• License: Apache-2.0
• Primary Language: Python
• Last Updated: 2026-01-09T16:44:21Z
• Latest Release: v0.10.3

According to the GitHub repository, AG2 has 4,022 stars, 517 forks, and 431 contributors, and is licensed under Apache-2.0. The repository shows active maintenance, with the last commit recorded on 2026-01-09. Those metrics indicate a healthy, well-adopted open-source project with a large contributor community and ongoing development.

Installation

Install via pip:

git clone https://github.com/ag2ai/ag2.git

cd ag2

pip install -e .

pip install git+https://github.com/ag2ai/ag2.git

Key Features

• Multi-agent interaction primitives for coordinating multiple AI agents and roles
• Integration layer to connect with various large language models and model providers
• Orchestration patterns to compose sequential, iterative, and collaborative workflows
• Tool invocation support enabling agents to call external tools and APIs during runs
• Human-in-the-loop hooks to incorporate review, guidance, or approval steps

Community

AG2 has an active and sizable open-source community: 4,022 stars, 517 forks, and 431 contributors on GitHub. The project is Apache-2.0 licensed and shows recent commits (last on 2026-01-09), suggesting ongoing maintenance and community engagement through commits, pull requests, and issue activity on the repository.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool