Mastra

What is Mastra?

Mastra is an open source TypeScript framework for building AI agents, workflows and tools, paired with the Mastra platform for running them in production. The framework runs locally, and its Studio opens with the mastra studio command to inspect evals, logs, traces, datasets and metrics. On the hosted platform, Mastra Server deploys agents and workflows as REST endpoints with OpenAPI docs, Mastra Studio can be shared with a team behind role-based access, and Memory Gateway adds persistent agent memory to LLM calls from Python, TypeScript or any framework. Mastra Observability captures metrics, logs and traces for every production run, supports online scorers and datasets, and has Gates and Verdicts to catch regressions in CI. Developers building agents in TypeScript use it as an alternative to LangGraph or CrewAI. Platform pricing is pay-as-you-go: Starter is free at $0 per month with monthly allowances, Teams is $250 per month, and Enterprise is custom.

Use cases

• Build AI agents in TypeScript
• Deploy agents as REST APIs
• Add persistent memory to LLM calls
• Trace and monitor production agent runs
• Run evals and experiments on datasets
• Catch agent regressions in CI

Who it's for

• TypeScript developers
• Full-stack engineers
• AI engineers
• Startup engineering teams

Why use Mastra

• Web teams can build agents and the app around them in one language, TypeScript.
• The same framework covers agents, workflows, evals and observability, so you may not need a separate evals platform.
• Starter is free with unlimited users, deployments and projects, so you can try the platform before paying.
• Pay-as-you-go metering means you only pay for usage beyond the monthly allowance.
• Self-hosted and Enterprise options keep data inside your own VPC.

Mastra features

• Open source TypeScript agent framework
• Mastra Studio with evals, logs, traces and datasets
• Agent Editor for changing prompts and tools without code
• Mastra Server deploys agents as REST endpoints
• Memory Gateway for persistent agent memory
• Observability with metrics, logs and traces
• Online scorers and experiments on datasets
• Gates and Verdicts for CI checks
• Studio auth and role-based access
• Self-hosted and hosted options

Mastra integrations

• OpenAPI
• Swagger UI
• LibSQL
• Postgres

How to get started with Mastra

1. Install the Mastra framework and define an agent with a model, tools and optionally a workflow.
2. Run it locally and open Studio with mastra studio to inspect traces and evals.
3. Connect the project to the Mastra platform so runs are traced, then deploy with mastra server deploy.
4. Add Memory Gateway or scorers and datasets as your agent needs them.
5. Move from Starter to Teams if usage approaches $250 a month.

Mastra limitations

• Usage on the Starter plan is capped by monthly allowances for events, CPU time and egress
• Starter retains data for 15 days and Teams for 6 months
• Always-on server costs $100 per project
• Gateway input and output tokens are billed at market rate plus 5.5%

Mastra pricing

Mastra is open source, so you can use and self-host it for free. Paid plans start at $250 per month, according to the official pricing page on 24 Oct 2026.

Mastra plans

• Starter

  $0/month

  • 100K observability events, then $10/100K
  • 24 CPU hours, then $0.35/hr
  • 15 days data retention
  • Unlimited users, deployments and projects

• Teams

  $250/month

  • 1M observability events, then $8/100K
  • 250 CPU hours, then $0.25/hr
  • 6 months data retention
  • Multiple teams, SSO and SOC 2 docs

• Enterprise

  Custom

  • Custom volume and retention
  • RBAC and audit logs
  • Uptime and support SLAs
  • Dedicated support engineer

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Mastra alternatives

The main Mastra alternatives listed on Debuly are LangGraph, CrewAI, LlamaIndex, Pydantic AI, LangChain and VoltAgent. The table compares pricing and platforms; order is A–Z.

1. 

   CrewAI

   Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit CrewAI (official site)
2. 

   LangChain

   Open-source framework for building LLM agents, paired with LangSmith for tracing, evals and agent deployment.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit LangChain (official site)
3. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)
4. 

   LlamaIndex

   Open-source framework plus the LlamaParse platform for parsing, extracting and indexing documents so LLM apps can use them.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit LlamaIndex (official site)
5. 

   Pydantic AI

   A type-safe, model-agnostic Python framework for building agents and LLM applications, from the team behind Pydantic.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Pydantic AI (official site)
6. 

   VoltAgent

   Open-source TypeScript framework for building AI agents, paired with the VoltOps console for tracing, evals and deployment.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit VoltAgent (official site)

Mastra FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from mastra.ai · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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