langchain-ai/langgraph vs crewAIInc/crewAI
langchain-ai/langgraph scores higher overall: 82/100 (A-tier) against 76/100 (A-tier). langchain-ai/langgraph leads on reliability, skill leverage, documentation; crewAIInc/crewAI leads on no dimension. Scored 2026-07-07, methodology v1.0.
Dimension by dimension
| Dimension | langgraph | crewai |
|---|---|---|
| Reliability | 80 | 72 |
| Skill Leverage | 82 | 78 |
| Documentation | 84 | 80 |
| Maintenance | 92 | 90 |
| Safety / Governance | 72 | 64 |
| Evaluation Readiness | 76 | 66 |
| Composability | 80 | 74 |
| Adoption (capped) | 90 | 90 |
| Overall | 82 · A | 76 · A |
The entries
The most adopted graph-based agent orchestration framework: workflows as explicit state machines with checkpointing, human-in-the-loop…
Role-based multi-agent orchestration: crews of agents with roles, goals, and tasks, optimized for approachability over control-flow…
Frequently asked questions
langchain-ai/langgraph or crewAIInc/crewAI?
langchain-ai/langgraph scores higher overall (82 vs 76, methodology v1.0). But they are the same category, so the dimension table below is the real answer.
How is this comparison generated?
Both scorecards come from the same public rubric with evidence notes, scored by the same editorial process. This page presents them side by side; it adds no new judgments beyond the scores themselves.