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Tracking what is changing in agentic AI — what matters, what builders should do next.
Microsoft Research

AutoGen

Conversational multi-agent framework with strong reasoning patterns.

Homepage
microsoft.github.io/autogen/
Pricing
open-source
License
MIT
Stack layer
orchestration
Agent type
multi-agent
Maturity
production

AutoGen models multi-agent collaboration as structured conversations.

Strengths. Mature, well-documented, strong patterns for reasoning loops.

Weaknesses. Conversation metaphor is limiting for some workflows.

Use it when you want a research-friendly, conversation-shaped runtime.

More in orchestration

CrewAI
Role-based multi-agent framework with declarative crew definitions.
Inngest Agent Kit
Durable workflows and step functions for agents.
LangGraph
Stateful, graph-based orchestration for LLM workflows with deterministic checkpoints.
Temporal
Durable workflow engine increasingly used for long-running agents.
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