CrewAI
Mastra

Comparison Preset

VerdictCrewAI vs Mastra ยท For Enterprises

CrewAI is the clear choice for an enterprise environment primarily due to its permissive MIT license, which mitigates legal risk. Mastra's "NOASSERTION" license status presents an unacceptable ambiguity for corporate use and cannot be recommended. Furthermore, CrewAI is designed with explicit enterprise features, including state management for long-running workflows and has zero known vulnerabilities. The high bus factor score of 8/10 and its large maintainer base provide additional confidence in its long-term stability and support.

Overview

The bottom line โ€” what this framework is, who it's for, and when to walk away.

Bottom Line Up Front

CrewAI is a Python framework for designing and orchestrating autonomous multi-agent systems. It provides structured tools for agents, tasks, and workflows, emphasizing built-in guardrails, memory, knowledge, and observability for reliable automation. It supports sequential, hierarchical, or hybrid processes and enterprise features for deployment and team management.

Mastra is a TypeScript framework for developing and deploying AI agents and applications. It supports rapid prototyping and confident shipping through a comprehensive toolset including Mastra Studio, an interactive UI. The framework integrates with popular web frameworks and provides access to over 3000 models from multiple LLM providers.

Best For

Building and orchestrating multi-agent systems with integrated guardrails, memory, knowledge, and observability.

Building production-ready AI agents, workflows, and tools for integration into diverse applications.

Avoid If

no data

no data

Strengths

  • +Provides baked-in guardrails, memory, knowledge, and observability for agent systems.
  • +Enables agents to compose with tools and structured outputs using Pydantic.
  • +Supports defining sequential, hierarchical, or hybrid multi-agent processes.
  • +Allows persistence and resumption of long-running multi-agent workflows.
  • +Offers enterprise features like environment management, safe redeployment, and live run monitoring.
  • +Integrates with external services like Gmail, Slack, and Salesforce via triggers.
  • +Designed to help prototype AI agents fast and ship with confidence
  • +Provides Mastra Studio, an interactive UI for building, testing, and managing agents, workflows, and tools
  • +Offers a model router with access to over 3000 models from various providers, including OpenAI, Anthropic, and Google
  • +Supports integration into existing projects or new apps built with frameworks like Next.js, React, Astro, and Express
  • +Includes pre-built templates for common use cases such as customer-facing assistants, internal copilots, and data analysis agents

Weaknesses

    • โˆ’no data

    Project Health

    Is this project alive, well-maintained, and safe to bet on long-term?

    Bus Factor Score

    8 / 10
    9 / 10

    Maintainers

    100
    100

    Open Issues

    343
    412

    Fit

    Does it support the workflows, patterns, and capabilities your team actually needs?

    State Management

    The framework manages state within flows, allowing persistence and resumption of long-running workflows.

    no data

    Cost & Licensing

    What does it actually cost? License type, pricing model, and hidden fees.

    License

    MIT
    NOASSERTION
    +Add comparison point

    Perspective

    Your expertise shapes what we build next.

    We build for engineers who make real architectural decisions. If something is missing, inaccurate, or could be more useful โ€” we want to hear it.

    FrameworkPicker โ€” The technical decision engine for the agentic AI era.