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CrewAI vs Mastra

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
Both have one
Higher Trust score
CrewAI — 92 vs 84 for Mastra
Best fit
CrewAI: Python developers prototyping multi-agent workflows with clear roles and delegation · Mastra: TypeScript and JavaScript teams building agents who want to stay in one language end-to-end
Platforms
CrewAI: Web, Linux, macOS, Windows · Mastra: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

CrewAIOpen-source Python framework for role-based agent crews and event-driven flows, with a hosted platform for running themMastraOpen-source TypeScript framework for building, running, and observing AI agents in production.

Side by side

FactCrewAIMastra
CategoryAI Agents & Autonomous WorkersLLM Orchestration Frameworks
Pricing modelFreemiumFreemium
Public APIYesYes
Trust score92 / 10084 / 100
PlatformsWeb, API, Linux, macOS, WindowsWeb, API
CompanyCrewAI, Inc.Mastra
Launched—2024
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

CrewAI

CrewAI is the quickest way to get a team of role-defined agents working on a task, and Flows added the deterministic control that early crews lacked. The open-source core is free and widely used; the paid platform is for teams that want governance and managed execution without building the plumbing. Treat the enterprise claims on the homepage as marketing and the free tier's 50 executions as a trial, not a plan.

Pros

  • MIT-licensed framework with a large community and about 59,700 GitHub stars
  • Crews for collaboration and Flows for state, branching and loops cover both exploratory and production shapes
  • Free platform tier with a visual editor, AI copilot and GitHub integration costs nothing to try
  • Enterprise deployment on CrewAI cloud, your VPC or on-premise, with PII redaction and policy controls

Cons

  • Enterprise pricing is quote-only, with executions beyond the free 50 a month behind sales
  • Role-playing agent abstractions can hide cost: every delegation is another LLM call
  • Debugging a crew means reading long non-deterministic delegation traces, and observability on the free tier is not described on the pricing page
  • Homepage usage claims (65% of the Fortune 500, 450M+ workflows a month) are the vendor's own

Mastra

Mastra brings the same team that scaled Gatsby to millions in revenue into the agent-framework space, and the open-source core with a large provider list is a credible starting point for TypeScript teams. It competes directly with more established orchestration frameworks, so the deciding factor is usually which one already fits a team's existing stack.

Pros

  • Apache 2.0 open-source core with a large, active GitHub following
  • Built-in workflow, memory, and observability primitives rather than requiring separate tools
  • Backed by experienced founders and well funded, reducing near-term abandonment risk

Cons

  • TypeScript-only, so it does not serve Python-first agent teams
  • Enterprise licensing terms and pricing are not published publicly
  • Being newer than incumbents like LangChain means a smaller base of production war stories

Which one fits

Choose CrewAI if you need

  • Python developers prototyping multi-agent workflows with clear roles and delegation
  • Teams that want an opinionated structure (Crews inside Flows) instead of wiring a graph from scratch
  • Enterprises that need SSO, RBAC and VPC deployment around agents they already built on the framework

Choose Mastra if you need

  • TypeScript and JavaScript teams building agents who want to stay in one language end-to-end
  • Developers who want built-in memory and observability rather than assembling them separately

CrewAI vs Mastra: the questions people ask

Does CrewAI or Mastra have a free tier?

Both: CrewAI has a free tier, and Mastra has a free tier.

Which has a public API, CrewAI or Mastra?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

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