AutoGen
Build multi-agent AI workflows that can act and collaborate
AutoGen is a programming framework for building multi-agent AI applications. It’s aimed at developers who want agents that can use tools, browse the web, and work with humans in the loop.
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About
AutoGen is an open-source framework for creating multi-agent AI applications. It is built for developers and teams that want to orchestrate agents rather than just chat with a model, with a focus on agent-to-agent interaction, tool use, and workflow design.
According to the README, the ecosystem includes a core runtime, a higher-level AgentChat API for faster prototyping, extension packages for model clients and tools, and AutoGen Studio for no-code prototyping. Setup starts with Python 3.10+ and pip installs, and the examples show integrations with OpenAI models as well as MCP servers and Playwright-based browser workflows.
AutoGen appears strongest as a developer framework for building custom agent systems, especially when you need multi-agent orchestration, tool calling, and extensibility. It is not positioned as a finished end-user assistant; AutoGen Studio is explicitly described as a prototyping tool and not production-ready, so teams still need to build their own authentication, security, and deployment controls.
The README shows OpenAI-based quickstarts, but also points to other supported models and extension-based clients. It supports MCP servers, and the project warns you to only connect to trusted servers because they can run commands locally or expose sensitive data. Pricing details are not publicly listed in the provided content, though the project itself is open source.
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- Free: Open-source framework; pricing details for hosted services or paid tiers are not publicly available in the provided content.
- Pro: Not publicly available.
- Enterprise: Not publicly available.
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