THE COMPARISON / A CLOSER LOOK

CrewAI vs Mastra

Compare the listed plans, useful capabilities, and practical tradeoffs.

Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.

CrewAI

🔴Developer

AI Development

Leading multi-agent framework and platform for building, deploying, and monitoring collaborative AI agent teams.

SOURCE-CHECK COVERAGE

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Starting Price

Free

Mastra

🔴Developer

AI agent framework

Mastra is a TypeScript-first agent framework and platform with agents, workflows, memory, MCP servers, observability, evals, Studio, Server and Gateway.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Free

Feature Comparison

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FeatureCrewAIMastra
CategoryAI DevelopmentAI agent framework
Pricing Plans4 listed plans2 listed plans
Starting PriceFreeFree
Key Features
  • • Workflow Runtime
  • • Tool and API Connectivity
  • • State and Context Handling
  • • TypeScript-first agentic framework for agents, tools, memory, and instructions
  • • Durable workflows and typed control flow
  • • Observability with metrics, logs, and traces

CrewAI - Pros & Cons

Pros

  • ✓Role/goal/backstory abstraction is genuinely easier to reason about than raw graphs
  • ✓Fast time-to-first-working-crew — hello-world in under an hour
  • ✓Strong enterprise story with visual designer and monitoring
  • ✓Excellent MCP support means you can reuse Claude/Cursor tool servers
  • ✓MIT license and a clear open-core boundary

Cons

  • ✗Fine-grained control (custom state, complex loops) is easier in LangGraph
  • ✗Enterprise features are pay-only — the free tier is intentionally basic
  • ✗Multi-agent workflows can be token-hungry; budget carefully
  • ✗Fast-moving API — expect small breaking changes across minor versions

Mastra - Pros & Cons

Pros

  • ✓Strong fit for teams already building in TypeScript and JavaScript.
  • ✓Combines framework primitives with platform concepts such as Studio, Server, Memory, Evals, Observability, and Gateway.
  • ✓MCP server support makes it a practical option for exposing agent capabilities to MCP-compatible clients.

Cons

  • ✗Pricing details were not reliable from static HTML, so this profile needs manual verification before quoting costs.
  • ✗You need engineering skill; it is not a no-code automation tool.
  • ✗Younger framework ecosystems may require more hands-on evaluation than older LangChain/LangGraph stacks.

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🔒 Security & Compliance Comparison

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Security FeatureCrewAIMastra
SOC2——
GDPR——
HIPAA——
SSO🏢 Enterprise—
Self-Hosted✅ Yes—
On-Prem✅ Yes—
RBAC🏢 Enterprise—
Audit Log——
Open Source✅ Yes—
API Key Auth✅ Yes—
Encryption at Rest——
Encryption in Transit——
Data Residency——
Data Retentionconfigurable—
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