Learning path · Agents & Orchestration · 66
AutoGen
Microsoft framework for conversational multi-agent interaction—agents message each other until termination conditions.
Why it matters
- Natural for brainstorming and iterative refinement dialogs.
- Conversational loops risk cost blowups without limits.
- Fits human-proxy patterns and group chat simulations.
Key ideas
- Agent messaging
- Termination handlers
- Human proxy
AutoGen models agents as participants in a conversation that continues until a stop phrase, tool success, or max rounds. Strong for open-ended problem solving and code review banter. Tradeoffs: versus LangGraph, control flow is emergent—not explicitly graphed; versus CrewAI, roles are chat partners rather than crew task lists. Add spend guards, logging of every message, and human proxies for sensitive steps. Terminate conversations with hard round caps and cost estimates surfaced to developers tuning group-chat agent prototypes. Ship only after eval gates pass on representative production failures.
Updated 2026-08-09 · Full learning path