Mastra
Build, observe, and improve AI agents with Mastra. Workflows, memory, observability, and evals in one TypeScript framework.
Editor's Verdict
Key Takeaways
- Agents
- Workflows
- Harness
- Memory
In-Depth Review: What is Mastra?
Mastra is an open-source TypeScript framework for building AI-powered applications and agents. It provides agents, workflows, memory, harness, and built-in observability including evals, metrics, datasets, and traces. Developers can define typed agents, compose workflows with retries and branches, coordinate multi-mode agents, and give agents durable memory. Integrates with React, Next.js, Node, or deploys as a standalone server to Mastra Cloud.
Core Features
Agents
Define typed agents with instructions, models, tools, and runtime behavior in one place.
Workflows
Compose typed steps, retries, and branches into production workflows your team can inspect and ship.
Harness
Coordinate multi-mode agents with shared state, threads, and storage — the same harness that runs Mastra Code.
Memory
Give agents durable context with observational memory, semantic recall, and thread-aware storage.
Server
Register agents and workflows on one Mastra server, run it locally, and deploy the same app to Mastra Cloud.
Observability
Best-in-class, built-in observability with traces, metrics, logs, and evals to see exactly what your agents are doing.
Evals
Score agent runs against repeatable checks before changes reach production.
Metrics
Track latency, cost, model calls, and tool usage across every production agent run.
Datasets
Capture traces and user feedback into versioned datasets for repeatable evaluation.
Traces
Inspect every model call, tool call, and handoff from one searchable timeline.
Pricing
Starter
- 100K observability events (then $10/100K)
- 24 CPU hours (then $0.35/hr)
- 15 days data retention
- Unlimited users, deployments, and projects
Teams
- 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 volume and retention
- RBAC, audit logs
- Support and uptime SLAs
- Dedicated support engineer
Pros and Cons
Pros
- Open Source TypeScript FrameworkMastra is open source and built with TypeScript, making it easy for JavaScript/TypeScript developers to build and integrate AI agents.
- Comprehensive ObservabilityBuilt-in observability with traces, metrics, logs, and evals provides full visibility into agent behavior and performance.
- Flexible Agent BuildingSupports agents, workflows, memory, harness, and server components, allowing developers to build complex multi-agent systems.
- Scalable PricingFree starter plan available, with team and enterprise options that scale with usage, including CPU time and events.
- Strong Community and ResourcesBacked by books, guides, templates, and active discord/youtube communities, plus case studies from large organizations.
Cons
- No Python FrameworkMastra is TypeScript-only, which may deter Python-centric developers or teams with existing Python AI workflows.
- Potential Cost at ScaleWhile starter is free, Teams at $250/month and additional costs for events/CPU may be expensive for small teams or high-volume usage.
- Learning CurveThe framework has multiple concepts (agents, workflows, harness, memory) that may require time to learn and implement effectively.
- Limited Self-Hosted OptionsSelf-hosted pricing is not clearly detailed; enterprise plan required for on-prem deployments.
- Relatively New FrameworkAs a newer framework, it may have fewer third-party integrations and a smaller community compared to mature alternatives.
Use Cases & Recommended Professions
AI Engineer→ View Toolkit
Design and deploy sophisticated AI agents with observability and memory for production environments.
Software Engineer→ View Toolkit
Integrate AI capabilities into applications using a TypeScript-native framework with workflows and tools.
Product Manager→ View Toolkit
Leverage Mastra to prototype and ship AI features quickly, with built-in evaluation metrics.
Data Scientist→ View Toolkit
Use Mastra's observability and datasets to iterate on agent behavior and improve model performance.
DevOps Engineer→ View Toolkit
Manage deployment and scaling of AI agents with Mastra's server and cloud infrastructure.
Startup Founder→ View Toolkit
Build and iterate on AI-powered products rapidly with a flexible framework that scales from prototype to production.
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ℹ️ Curation Disclosure: The overview and features of Mastra were synthesized using AI and fact-checked by our curation team to ensure accuracy.
