AutoGen review
A flexible open-source framework for multi-agent systems, now in maintenance mode.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
AutoGen is an open-source programming framework for building multi-agent AI applications, for developers who want to define agent messaging, orchestration and tool capabilities in code. Python and .NET components provide a Core API for message passing and event-driven agents, plus local and distributed runtimes. AgentChat adds two-agent and group-chat patterns, while Extensions connect model clients and capabilities such as code execution. The project also includes AutoGen Studio for prototyping and running workflows through a GUI, and AutoGen Bench for benchmarking agent performance. It suits teams that want to build and host their own systems rather than buy a managed automation service.
Its main appeal is breadth within the framework: developers can work with event-driven agents, chat-based orchestration and model or tool extensions, then prototype workflows in Studio and benchmark them with Bench. MCP workbench support connects agents to MCP servers. The listed integrations include OpenAI, Azure OpenAI and MCP, while documented model support includes proprietary services and open-source options. Deployment is self-hosted, with Windows, Linux and macOS among the supported platforms. This makes AutoGen a fit for projects that value control over deployment and architecture, though its narrower listed ecosystem may not suit buyers seeking broad turnkey integrations.
The decisive consideration is project status. AutoGen remains available but is in maintenance mode and community managed; Microsoft directs new projects to Microsoft Agent Framework and encourages existing users to migrate. The framework is free and open source, with no paid plans or monthly AI credits described. Support is through community and documentation. Choose AutoGen when an existing system depends on it or its specific agent APIs and tooling match a self-managed project. For a new build, follow the vendor's direction toward Microsoft Agent Framework; buyers wanting vendor-managed service, paid support tiers or an actively advancing product should look elsewhere.
AutoGen pros and cons
- Where it wins
- Event-driven and distributed runtimes support local or distributed agents
- AgentChat supports two-agent and group-chat patterns
- Studio, Bench and MCP workbench cover prototyping, benchmarking and MCP connections
- Where it doesn't
- In maintenance mode; new projects are directed to Microsoft Agent Framework
- Community-managed, with support through community channels and documentation
- Listed integrations focus on OpenAI, Azure OpenAI and MCP
AutoGen fact sheet, pricing and score →
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