AutoGen - AI Agent Frameworks Tool

Overview

AutoGen is an open-source programming framework from Microsoft for designing, running, and extending multi-agent AI workflows. It provides primitives for creating role-based agents, wiring them together with tool and model integrations, and orchestrating complex conversations and task flows. The framework emphasizes extensibility—developers can add new agent types, tools, or model connectors and compose them into deterministic or emergent multi-step pipelines. According to the GitHub repository, AutoGen has grown into a widely used community project (53,308 stars, 8,091 forks) and is developed under a CC-BY-4.0 license. It targets scenarios such as multi-agent reasoning, tool-use orchestration, workflow automation, and human-in-the-loop systems, with built-in patterns for conversation history, memory, and structured outputs. The project is actively maintained with frequent commits (last commit recorded 2025-10-04) and contributions from hundreds of maintainers and contributors.

GitHub Statistics

• Stars: 53,308
• Forks: 8,091
• Contributors: 446
• License: CC-BY-4.0
• Primary Language: Python
• Last Updated: 2025-10-04T01:06:04Z
• Latest Release: python-v0.7.5

AutoGen shows strong community traction on GitHub: 53,308 stars, 8,091 forks, and 446 contributors indicate broad interest and external contributions. The repository uses a permissive CC-BY-4.0 license. Frequent commits and recent activity (last commit 2025-10-04) suggest active maintenance. High fork and contributor counts imply many integrations, experiments, and third-party extensions; issues and pull requests on the repo provide public discussion and rapid iteration.

Installation

Install via pip:

pip install autogen

pip install -U autogen

pip install git+https://github.com/microsoft/autogen.git

git clone https://github.com/microsoft/autogen.git && cd autogen && pip install -e .

Key Features

• Multi-agent orchestration primitives for composing role-based agents and workflows
• Extensible tool interface for integrating custom functions and external APIs
• Conversation and memory abstractions to maintain state across agent interactions
• Model connectors and adapters for plugging in LLM providers (e.g., OpenAI, Azure OpenAI)
• Structured output and validation helpers to produce deterministic, parseable responses

Community

The AutoGen community is large and active: 53k+ stars and 446 contributors reflect broad adoption. The project receives regular PRs and issue activity, with forks and community-driven extensions common. Discussions, example repositories, and third-party integrations indicate ongoing ecosystem growth.

Key Information

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