AutoGen — Multi-Agent LLM Orchestration Framework
AutoGen is a multi-agent orchestration framework for building autonomous LLM workflows and applications
AutoGen is an open-source framework that enables the development of large language model applications using multiple agents that can converse with each other to solve tasks. This framework is designed for business owners and developers who need to automate complex workflows that require more than a single AI prompt. By orchestrating a collective of specialized agents, the system can handle intricate coding, research, and data analysis tasks autonomously. The platform allows users to define specific roles for different agents, such as a programmer, a reviewer, or a project manager. These agents then collaborate to iterate on solutions, catch errors, and refine outputs without constant human intervention. Using AutoGen, businesses can build custom autonomous systems that integrate with various LLMs and local execution environments to ensure data security and operational efficiency. Founders and technical teams use this tool to build self-healing code pipelines and automated market research reports. By visiting surfai.app, business leaders can discover how agentic frameworks like this reduce the manual overhead of managing AI outputs. The system supports complex conversation patterns, including hierarchical and joint chat structures, to match any organizational hierarchy or project requirement. As an open-source project primarily hosted on GitHub, the core framework is free to use under the MIT License. Users are responsible for their own API costs associated with the language models they choose to connect, such as GPT-4 or local models via Ollama.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | OpenAI, Azure OpenAI Service, GitHub, Docker, Python, Jupyter Notebooks |
| Best for | developers, technical-founders, ctos, data-scientists |
| Website status checked | 2026-10-22T06:00:44.988+00:00 |
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|---|---|---|---|
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