The short answer
All three let you orchestrate multiple LLM calls and tools as agents. The difference is the mental model and the escape hatches when things go wrong in production.
Quick decision guide
- Need explicit control over state, branching, human checkpoints and long-running workflows? LangGraph.
- Want to describe roles and let them collaborate with minimal boilerplate? CrewAI.
- Building highly conversational research or debate-style agents? AutoGen.
We almost always start with the workflow graph on paper, then pick the tool.
Production considerations (the part most comparisons skip)
- Observability and tracing: LangGraph has the best first-class support.
- Cost control and retries: All need custom layers; none give it for free.
- Handoffs and shared memory: Design this yourself regardless of framework.
- Maintenance: Simpler frameworks win when your team (not the original author) has to extend it in 6 months.
How we choose at Softgen
Discovery first. We map the exact steps and failure modes, then pick the lightest framework that gives us the control and visibility we need. The code is often a mix. AI builds that include agent orchestration start from £18,000.
Want help choosing and shipping the right one for your workflow? Send a brief.