AutoGen (Microsoft Research) enabled multi-agent systems where each agent is an LLM powered by a conversation protocol. Agents exchanged structured messages, enabling orchestrator-worker patterns, code execution feedback loops, and group chats. AutoGen 0.4 introduced an actor-based model (AgentChat) and asynchronous event-driven message passing for distributed production deployments, with AutoGen Studio providing a visual no-code agent builder. In 2025 Microsoft merged AutoGen with Semantic Kernel into Microsoft Agent Framework (public preview October 2025, GA 1.0 April 2026): both AutoGen and Semantic Kernel are now in maintenance mode (bug and security fixes only, no new features), and new multi-agent development is directed to Microsoft Agent Framework.
What it means in practice
AutoGen is not just vocabulary; it is a design handle. In agentic systems, this term usually appears when engineers are designing, reviewing, or troubleshooting real production flows rather than only naming the concept. It helps convert a vague technical conversation into a concrete design question with trade-offs that can be tested.
Why engineers care
- It gives teams a shared name for the behaviour, risk, or architecture choice being discussed.
- It helps separate the goal from the implementation detail, so you can compare alternatives instead of copying a tool pattern blindly.
- It creates a useful checklist for reviews: inputs, outputs, failure modes, ownership, cost, latency, and measurement.
Production watch-outs
Be careful with shallow definitions. The useful meaning usually depends on workload, failure mode, data shape, and who owns the system in production.
Related context
Useful neighbouring concepts: Multi Agent, Agent, Langgraph, Planning Loop.