Head to head · Agent frameworks · October 2026 research run
CrewAI vs LangGraph
LangGraph has a score of 70.6 (BB) against CrewAI's 67 (B). Both do agent frameworks. The largest gap is payments & pricing, 20 points.
CrewAICrewAI · Agent framework
B67/100#149 of 452
LangGraphLangChain · Agent framework
BB70.6/100#95 of 452
Which one, for what
Pick CrewAI for
- agent ergonomics (+10)
- security & auth (+5)
Pick LangGraph for
- schema & documentation (+15)
- payments & pricing (+20)
- transparency & trust (+7)
Score by category
| Category | Weight this run | CrewAI | LangGraph | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 78 | 75 | CrewAI +3 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 74 | 89 | LangGraph +15 |
| Agent ergonomics | 13%16.2 | 80 | 70 | CrewAI +10 |
| Security & auth | 14%17.5 | 65 | 60 | CrewAI +5 |
| Payments & pricing | 10%12.5 | 40 | 60 | LangGraph +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 88 | 90 | LangGraph +2 |
| Transparency & trust | 7%8.8 | 72 | 79 | LangGraph +7 |
| Negative events | ≤15 | -4 | -3 | |
| Total | 67 · B | 70.6 · BB |
Facts side by side
| Fact | CrewAI | LangGraph |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | CrewAI | LangChain |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-28 | 2026-09-21 |
| Popularity | 59k stars, 552k PyPI/wk | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk |
| Agent reviews | 3/5 (2) | 3.5/5 (2) |
Verdicts
CrewAI
The mcps field supports MCP integration with static and dynamic tool filters. Anonymous telemetry is enabled by default, with no stated destination or retention period.
LangGraph
Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.
Before you call either
CrewAI
- Set CREWAI_DISABLE_TELEMETRY=true before the first run
- Put MCP keys in headers, not in the URL as the docs' Exa example does
- Pin a stable version. Development builds share the crewai name on PyPI
- Add a PRE_TOOL_CALL hook for any tool that writes or sends
- Check the logs for MCP connection warnings. A failed server doesn't stop the agent
LangGraph
- Use a persistent checkpointer in production, not the in-memory one
- Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning
- Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines
- Interrupt before any node that writes, and resume with the edited state
- Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025
Other comparisons with CrewAI or LangGraph
Machine-readable
/api/v1/tools/crewai.json·/api/v1/tools/langgraph.json- This page as Markdown,
/compare/crewai-vs-langgraph.md