AutoGen
Microsoft's framework for building agentic systems with conversable, customizable agent personas.
AutoGen — Microsoft's framework for building agentic systems with conversable, customizable agent personas. Developed by Microsoft Research as an open-source framework for orchestrating multi-agent conversational systems.
About AutoGen
AutoGen is an open-source framework from Microsoft Research for building multi-agent conversational systems.
What sets it apart is conversable, customizable agent personas that talk to and collaborate with each other, and it integrates with OpenAI and Azure OpenAI models among other LLM providers. It runs on macOS, Windows, and Linux with command-line support.
It fits developers building agent systems who are comfortable in Python and can supply their own API keys, since LLM usage is billed separately. It is a poor fit for non-Python developers, and its multi-agent orchestration has a steep learning curve for anyone new to agentic frameworks.
Among non-coding AI agent tools, AutoGen sits at the framework end: you assemble and orchestrate agents in code rather than using a finished app.
Sources: microsoft.github.io, this listing
AutoGen pros and cons
Pros
- Developed by Microsoft Research as an open-source framework for orchestrating multi-agent conversational systems.
- Provides conversable, customizable agent personas that can communicate and collaborate with each other.
- Available across macOS, Windows, and Linux platforms with command-line interface support.
- Integrates with OpenAI and Azure OpenAI models, among other LLM providers.
Cons
- Primarily a Python framework, which may limit adoption by non-Python developers.
- Requires users to supply their own API keys, meaning LLM usage costs are billed separately.
- Multi-agent orchestration can present a steep learning curve for users new to agentic frameworks.
Tagged
- Bring Your Own Key
- Supports GPT
- CLI
- Agentic Mode
- Free
- Open Source
AutoGen alternatives
More from AI Agents (non-coding).
- 01Freemium →Relevance AI
Platform to build, deploy, and manage AI agents and AI teams without writing code.
- 02Freemium →Lindy
No-code AI employees that handle email, scheduling, lead routing, and customer support workflows.
- 03Paid →Claude Computer Use
Anthropic's API capability that lets Claude take screenshots, move the cursor, and use a real computer.
- 04Paid →ChatGPT Agent
OpenAI's agent mode (formerly Operator) — runs in a managed browser to complete multi-step web tasks.
- 05Paid →Manus
Autonomous general agent that browses the web, runs code, and ships deliverables on long-horizon tasks.
- 06→BacklinkGenie
AI outreach agent that earns backlinks from real blog posts
Related reading
Concepts you should know
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</a>Frequently asked questions
- What is AutoGen?
- AutoGen — Microsoft's framework for building agentic systems with conversable, customizable agent personas.
- Is AutoGen free?
- AutoGen is free to use. There is no paid tier as of the last index update.
- What platforms does AutoGen support?
- AutoGen runs on mac, win, linux, cli.
- What are the alternatives to AutoGen?
- Similar tools in AI Agents (non-coding) on vibedonalds: Relevance AI, Lindy, Claude Computer Use, ChatGPT Agent.
- What are the downsides of AutoGen?
- Primarily a Python framework, which may limit adoption by non-Python developers. Requires users to supply their own API keys, meaning LLM usage costs are billed separately. Multi-agent orchestration can present a steep learning curve for users new to agentic frameworks.