CrewAI vs LangChain
On the evidence we track, LangChain leads this comparison with a composite score of 79/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
CrewAI
CrewAI is a multi-agent automation framework that provides teams with tools to build complex agent workflows through a visual editor or code. It includes a unified control plane for managing production deployments with real-time tracing, governance policies, multi-LLM support, and deployment options for cloud or on-premises infrastructure.
LangChain
LeaderA unified developer platform consisting of open-source frameworks and commercial tools for building, testing, monitoring, and deploying AI agents and LLM-powered applications.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
CrewAI
Free tier with 50 monthly executions; Enterprise plan with custom pricing
- BasicFree
- Visual editor and AI copilot
- GitHub integration
- Standard tools and triggers
- CrewAI cloud deployment
- Usage dashboard
- +1 more
- EnterpriseContact sales
- Everything in Free, plus:
- SSO (MS Entra, Okta)
- Role-based access control
- PII redaction and policy enforcement
- Workload identity
- +18 more
LangChain
LeaderFree Developer plan. Plus plan from $39/user/mo with unlimited seats. Enterprise custom pricing billed annually.
- DeveloperFree
- 1 free seat
- 5000 base traces per month
- Full LangSmith access
- Plus$39/seat/month, unlimited seats, 10k traces/month included
- Unlimited seats
- 10000 base traces per month
- 1 free small serverless deployment
- Team collaboration
- LangSmith Deployment service access
- EnterpriseContact sales
- Advanced administration options
- Enhanced security controls
- Priority support
- Custom deployment options
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Anthropic
- OpenAI
CrewAI
- NVIDIA NIM
- GitHub
- Slack
- Microsoft Teams
- Arize
- Galileo
- DataDog
- Patronus
- IBM Db2
- OpenTelemetry
- LiteLLM
- E2B
- Daytona
- AWS Bedrock
- Ollama
- Model Context Protocol
- SerperDev
- Claude
- Gemini
- DashScope
- CopilotKit
- Google Gemini
- OpenRouter
- Oracle
- +2 more
LangChain
Leader- Cohere
- Azure OpenAI
- Azure AI Search
- Microsoft Fabric
- Azure Kubernetes Service
- OpaquePrompts
- AWS
- MCP (Model Context Protocol)
CrewAI or LangChain: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.