Mastra
What is Mastra?
Mastra is an open-source TypeScript framework for building, deploying, observing, and improving AI agents and AI-powered applications. It provides agent development tools, typed workflows, memory, workspaces, MCP support, human-in-the-loop functionality, model routing, and built-in observability. Developers can use Mastra with React, Next.js, Node.js, Hono, and other JavaScript or TypeScript environments to create internal automation agents, customer-facing assistants, developer platforms, and multi-step workflow applications. Mastra projects can be self-hosted under the Apache 2.0 license or deployed through Mastra Platform with managed infrastructure, monitoring, storage, and enterprise capabilities.
How to use Mastra?
Create a Mastra project with the CLI by choosing a project name and supported model provider such as OpenAI, Anthropic, Google, or xAI. Define agents with instructions, models, tools, and memory, then compose workflows with typed steps, branches, retries, and human approval. Register the agents and workflows on a Mastra server, run the development server locally, and open Mastra Studio at http://localhost:4111 to build, test, evaluate, and manage them. Mastra applications can then be deployed to Node.js-compatible environments, cloud platforms, or self-hosted infrastructure.
Mastra's Core Features
TypeScript AI agent framework
Agents with models, instructions, tools, memory, and runtime behavior
Typed multi-step workflows with branching, retries, parallel execution, and human-in-the-loop support
Durable memory with conversation history, semantic recall, observational memory, and thread-aware storage
Built-in observability with logs, metrics, traces, evaluations, datasets, experiments, and scorers
Mastra Studio for collaborative agent development, testing, evaluation, and iteration
Model routing across 90+ providers and access to thousands of models
MCP server and tool support
Agent harnesses with shared state, multiple modes, threads, and storage
Deployment options for Mastra Cloud, Node.js, Vercel, Netlify, Cloudflare, and self-hosted environments
Enterprise features including RBAC, SSO, audit logs, IAM integration, network policies, SLAs, and VPC deployment
Mastra's Use Cases
Build internal automation agents that work in Slack and enterprise systems
Create customer-facing assistants that answer questions and complete product tasks
Develop AI developer platforms and shared agent primitives for other product teams
Automate durable business processes such as order fulfillment and shipping
Build coding agents, AI SREs, research assistants, and domain-specific copilots
Evaluate and monitor production agents using traces, metrics, datasets, and custom scorers
FAQ from Mastra
What is Mastra?
What can developers build with Mastra?
Which AI model providers does Mastra support?
Does Mastra support memory?
What are Mastra workflows?
How can Mastra applications be monitored?
Can Mastra be self-hosted?
How much does Mastra cost?
What is Mastra Studio?
Mastra Reviews (0)
Mastra Pricing
Mastra Platform Starter
$0 per month
100,000 observability events, 24 CPU hours, 15 days of data retention, unlimited users, deployments, and projects. Additional usage is billed separately.
Mastra Platform Teams
$250 per month
1 million observability events, 250 CPU hours, 6 months of data retention, multiple teams, SSO, and SOC 2 documentation. Additional usage is billed separately.
Mastra Platform Enterprise
Custom pricing
Custom volume and retention, RBAC, audit logs, support, uptime SLAs, and a dedicated support engineer.
Self-Hosted Free
$0 per month
Apache 2.0 licensed self-hosted framework for building and hosting agents, workflows, and observational memory anywhere.
Self-Hosted Enterprise
Custom pricing
Licensed enterprise features including RBAC, SSO, IAM, network policy integration, VPC deployment, and predictable flat-fee pricing.
Analytic of Mastra
Mastra Website Traffic Analysis
Geography
Top 5 Regions
Mastra Launch embeds
Use website badges to drive support from your community for your Toolify Launch. They're easy to embed on your homepage or footer.
Social Listening