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Mastra
Open-source TypeScript framework for agents and workflows, with memory, tools, evals, tracing, and a Studio/server platform for running agents in production.
TypeScript teams that want agents inside normal web apps with typed workflows, memory, evals, and a studio, without switching the stack to Python notebooks.
Python-first research labs standardized on LangChain/LlamaIndex ecosystems, or buyers who only need a single chatbot widget.
Verdict
Mastra is an open-source TypeScript agent framework from the team behind Gatsby, now paired with Studio, Server, and Memory Gateway platform pieces. Releases include Mastra 1.0 and Factory. It is in production use at Replit, Brex, MongoDB, Workday, and Salesforce.
Score Breakdown
How Mastra scores in the categories that matter to its buyers.
Pricing
The framework is open source under Apache 2.0. Studio, Server, and Memory Gateway are commercial or self-host options.
The Field at a Glance
Where Mastra ranks among Agent platforms & frameworks vendors we reviewed, by Overall Score and relative typical engagement cost.
Mastra scores 7.6, just above Kore.ai (7.5) and below LangChain (8.0). Relative cost stays lower while teams remain on open-source, rising if they adopt hosted Studio/Server.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| TypeScript agents in Next/Node apps | Strong | Native fit. |
| Evals, traces, Studio | Strong | Platform launch focus. |
| Python research notebooks | Poor | Wrong stack. |
| Multi-agent production workflows | Strong | Workflow primitives. |
| No-code business chatbot builder | Mixed | More code-forward. |
Who it’s for
Good fit
- TS/JS product engineering teams
- Platform teams automating DevOps with agents
- Companies that already trusted the Gatsby-era docs culture
Poor fit
- Python-only ML orgs
- Buyers wanting a pure GUI agent builder
- Teams allergic to framework lock-in of any kind
Review Excerpts
Below are excerpts from public reviews and coverage. Paid reviews and pay-for-play sites such as Clutch were excluded.
“There are enrichment tools out there, but they're often too rigid. We get lists in different formats. Before Mastra, we'd have to set up different workflows every time.”
Teams at Brex, Sanity, and Factorial build in-app agents, and platform teams at MongoDB, Workday, and Salesforce reduce toil with Mastra.
“We upgraded and a job that had been running for a month just died. The changelog was a novel.”
Methodology
This page is an independent evaluation of Mastra for buyers comparing options in agent platforms & frameworks. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Mastra did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for agent platforms & frameworks)
- TypeScript agent DX
- Workflows, memory & observability
- Open-source adoption
- Hosted platform maturity
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Mastra is graded here as agent platforms & frameworks. Criteria scores can move as more review volume and product checks are added.