📖 The AI Tool Bible

CrewAI vs Mastra

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
CrewAI
Agents
Mastra
Agents
TaglinePython framework for multi-agent orchestration.Open-source TypeScript framework for building, deploying, and observing AI agents and workflows.
CategoryAgentsAgents
PricingFreemium· Free open-source core; cloud platform paidFreemium· Free open-source core (Apache 2.0); Enterprise license available
ModelBYO (Claude / GPT / open)Multi-model (90+ providers)
Editorial score8.4 / 10
Use cases
multi-agentorchestrationPython
ai-agentsworkflow-orchestrationragcopilotsmcp-serversagent-observability
Pros
  • Clean Python API
  • Strong role/goal abstractions
  • Active community
  • Hosted platform for deployment
  • TypeScript-native, fits cleanly into Next.js/Node stacks
  • Apache 2.0 core with no seat or usage limits
  • Built-in evals, traces, and metrics for agent observability
  • Model router across 90+ LLM providers
  • First-class MCP server support
Cons
  • Production observability still maturing
  • Debugging multi-agent flows is hard
  • TypeScript only; Python shops will look elsewhere
  • Younger ecosystem than LangChain/LlamaIndex
  • Enterprise features are source-available, not OSS
Websitewww.crewai.commastra.ai
Pick CrewAI if
  • Clean Python API
  • Strong role/goal abstractions
  • Active community
  • Hosted platform for deployment
Pick Mastra if
  • TypeScript-native, fits cleanly into Next.js/Node stacks
  • Apache 2.0 core with no seat or usage limits
  • Built-in evals, traces, and metrics for agent observability
  • Model router across 90+ LLM providers