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AutoGen

AutoGen AI Agent
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Overview

An open-source framework for building AI agent systems, simplifying the creation of event-driven, distributed, scalable, and resilient agentic applications.

AutoGen is an open-source programming framework developed by Microsoft for constructing AI agent systems. It streamlines the development of event-driven, distributed, scalable, and resilient agentic applications, enabling the creation of systems where AI agents collaborate to perform tasks autonomously or with human oversight. AutoGen supports asynchronous message passing between agents, integration of large language models (LLMs), and advanced multi-agent design patterns, facilitating the orchestration, automation, and optimization of complex LLM workflows.

AI Agent Store research

What the evidence says about AutoGen

AutoGen is best understood as an open-source framework for agentic AI. We read every piece of feedback, and take your input very seriously.

Last reviewed July 30, 2026

Verified capabilities

  • Agent application development

    We read every piece of feedback, and take your input very seriously.[1]

Where it fits best

  • Developing AI agent systems with event-driven, distributed architectures.[1]

Buying and deployment notes

Deployment: Source repository[1]

Sources and research method (1)

We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.

  1. GitHub - microsoft/autogen: A programming framework for agentic AI · GitHubGitHub · checked 2026-07-30

Autonomy level

89%

Reasoning: AutoGen demonstrates high autonomy through its support for fully automated multi-agent conversations with dynamic workflow adaptation, LLM-based function calls for autonomous tool selection, and registered auto-reply mechanisms enabling context-aware responses. The framework allows complete task execution cycles without human intervention while mai...

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Some of the use cases of AutoGen:

  • Developing AI agent systems with event-driven, distributed architectures.
  • Facilitating cooperation among multiple AI agents to solve complex tasks.
  • Integrating large language models (LLMs) into agent workflows.
  • Orchestrating and automating complex LLM workflows with minimal effort.
  • Building scalable and resilient agentic applications for various domains.

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Popularity level: 76%

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Make it work for you

Describe the job. Get an AI worker you can actually message.

We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.

Runs without your laptopBrowser + messaging appsCredits, keys, or subscriptionsMemory survives restarts

Plans start at $29/month. Cancel anytime.

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