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TypeScript AI agent framework

Mastra

An open-source TypeScript framework for agents, workflows, memory, evaluation, and observability, with separately priced managed platform services.

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Editorial verdict

Choose Mastra when a TypeScript team benefits from an integrated agent and workflow framework and accepts its storage, tracing, platform, and upgrade boundaries. Prefer AI SDK or provider-native loops for bounded interactions.124

Best for

  • TypeScript agent products needing integrated workflows and memory
  • Teams wanting one framework for agents, evaluation, tracing, and deployment choices
  • Applications prepared to govern storage and platform meters
124

Not ideal for

  • Bounded model-and-tool loops
  • Python-first agent systems
  • Teams that need provider-native runtime behavior with minimal framework surface
124
Main trade-off

An integrated TypeScript framework reduces assembly work while adding framework, storage, memory, tracing, gateway, managed-platform, and upgrade dependencies.124

Product boundary

Whether a TypeScript product needs Mastra's integrated agent, workflow, memory, observability, and deployment surface rather than a smaller SDK loop.

Mastra's framework supplies application primitives; its managed Platform, Gateway, databases, observability, and enterprise self-hosted features have separate meters and responsibilities. Memory and workflow durability still require explicit storage and lifecycle choices.124

For: TypeScript teams needing more agent structure than a bounded AI SDK tool loop

  • A minimal AI SDK or provider loop is sufficient
  • Python or another runtime is primary
  • Platform, storage, or trace-data economics do not fit

Why teams consider Mastra

  • TypeScript-first agentsAgents combine model, tools, instructions, memory, and application context.124
  • Typed workflowsWorkflows provide controlled multi-step execution with suspend and resume behavior.124
  • Integrated operating surfaceObservability, evaluation, storage, gateway, and managed deployment are available as distinct services.124

Pricing

The open-source framework has no separate software fee. Mastra Platform meters observability events, CPU, retention, egress, gateway markup, memory tokens, retrieval storage, and databases; enterprise self-hosting is custom.4

Current decision boundary

Open-source framework or metered Mastra Platform

Verified 2026-07-27: Mastra publishes Starter, Teams, and Enterprise platform terms with separate usage meters; provider model charges remain additional.4

Framework
Apache-licensed open source4
Platform meters
Events, CPU, retention, egress, gateway, memory, retrieval, and databases4
Enterprise
Custom hosted or self-hosted controls and support4
Pricing checked View official pricing

Mastra vs alternatives

OpenAI Agents SDK

Choose when
OpenAI-aligned agent applications needing a focused runtime
Avoid when
Deterministic workflows that do not need model-directed control
Compared with Mastra
A focused runtime removes agent-loop plumbing while adding SDK, model, tool-safety, session, tracing-data, and provider dependencies.567

LangGraph

Choose when
Long-running stateful agent workflows
Avoid when
Simple model-and-tool loops
Compared with Mastra
Explicit graph state improves control and recovery while increasing graph design, checkpoint, schema migration, idempotency, deployment, and observability responsibilities.8910

CrewAI

Choose when
Python teams testing role-based agent collaboration
Avoid when
Tasks solved reliably by one model call or deterministic workflow
Compared with Mastra
Role-oriented composition can accelerate multi-agent experiments while increasing token use, latency, nondeterminism, delegation failure, tracing, and platform complexity.111213

Resources and sources

Official product, pricing, policy, and lifecycle sources

  • Mastra agents
    Open
  • Mastra workflow suspend and resume
    Open
  • Mastra framework license
    Open
  • Mastra pricing
    Open

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