AutoGen
Microsoft's framework for building agentic systems with conversable, customizable agent personas.
AutoGen is 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.
What it does well
- 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.
Where it falls short
- 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
Compared with similar things
Picked by shared tags inside the AI Agents (non-coding).
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- 02Freemium →Skyvern
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- 03Free →Stagehand
Browserbase's library for building reliable AI agents on top of Playwright with structured actions.
- 04Free →Cline
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- 05Free →Aider
Open-source CLI coding agent that pair-programs in your terminal and commits to git automatically.
- 06Free →Open WebUI
Self-hostable web UI for Ollama and OpenAI-compatible endpoints — feels like ChatGPT, runs on your own server.
Concepts you should know
Frequently asked questions
- What is AutoGen?
- AutoGen is 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 category does AutoGen belong to?
- AutoGen is in the AI Agents (non-coding) category — Autonomous agents for research, customer support, sales, scheduling, and other non-coding tasks.
- 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.