TypeScript developers
Define agents, tools and workflows in a codebase with typed interfaces and version control.
Independent tool overview
Build TypeScript AI agents and durable workflows with Mastra’s open-source framework and optional platform services.
Visit the official Mastra site ↗
Overview
Mastra is a TypeScript framework for building AI agents and applications. Developers define models, instructions, tools, memory and typed workflows in code, run them locally through a server and Studio, and deploy to their chosen environment. Its current site also emphasizes tracing, metrics, evaluations and long-running agent workflows.
The open-source framework is separate from Mastra Platform hosting and observability. That distinction matters for cost and architecture: developers can self-host the framework, while managed services meter CPU time, traces, storage and model-gateway use. The framework gives structure to a program, but your team still designs tool permissions, retry behavior, data retention, model selection and evaluation criteria.
Use cases
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Define agents, tools and workflows in a codebase with typed interfaces and version control.
Build multi-step processes with persistence, retries and observability rather than one chat completion.
Evaluate model outputs and inspect traces while moving from local development to hosted operation.
Capabilities
Configure instructions, models and tool access as TypeScript modules.
Compose steps, branches and retries into explicit control flow.
Store thread context and support recall patterns for stateful agents.
Test locally in Studio and expose agents and workflows through a server.
Trace runs, review logs and metrics, and score behavior against datasets.
Process
Step 1
Create a TypeScript Mastra app and choose the model provider for one agent.
Step 2
Give the agent the minimum required tools and put high-impact actions behind explicit workflow controls.
Step 3
Use Studio and evaluation cases for expected tasks, wrong inputs, failures and long-running states.
Step 4
Choose self-hosted or Mastra Platform, then monitor traces, CPU, model usage and data retention.
Cost
The framework is free to self-host. Mastra Platform has a $0 Starter tier, a $250/month Teams tier and custom Enterprise pricing; usage beyond included CPU and observability allowances can be charged separately.
$0 software fee
Apache 2.0 licensed agent framework.
$0/month plus qualifying overage
Managed entry tier.
$250/month plus qualifying overage
More usage and team controls.
Custom quote
For larger managed or self-hosted organizational requirements.
Pricing checked . Check current pricing at the source ↗
Assessment
Compare
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Coding
A broad code-first agent framework with a large integration ecosystem.
Explore LangChain →Business Operations
A visual workflow tool when low-code app orchestration is more important than TypeScript ownership.
Explore n8n →Business Operations
A visual AI workflow builder for teams with less interest in maintaining an agent codebase.
Explore Gumloop →Questions
The open-source framework is free to use under Apache 2.0. Its hosted platform starts at $0 with usage allowances and overage.
It is built for TypeScript and JavaScript applications.
Its optional Platform provides managed deployment and observability, while the framework can be hosted elsewhere.
Evaluate tool permissions, step failures, retries, memory behavior, model cost and whether the answers meet real task criteria.
Bottom line
Mastra fits TypeScript teams that want to own agent logic in code while using integrated workflow and evaluation primitives. Compare managed metering with a self-hosted deployment using one representative workload and its traces.
Visit Mastra website ↗
Add persistent, scoped memory to AI agents with APIs for extracting, searching, updating and deleting remembered context.

Orchestrate stateful AI agents with LangGraph’s graph-based, open-source runtime.

Use an open-source coding agent with your choice of model provider across terminal, editor and desktop workflows.

Open-source visual builder and runtime for AI agents, retrieval flows, and MCP servers.

Get access to all our AI courses, hundreds of real-world AI use cases, live expert-led workshops, an exclusive network of AI early adopters, and more.
Get unlimited access to all of our current & upcoming industry-specific AI courses for the duration of your subscription.
To keep up with the rapid pace of AI, our team publishes AI implementation guides daily. Our library contains 300+ practical use cases to automate real-world work.
Join weekly, live, interactive sessions with industry leaders who are at the forefront of AI for hands-on implementation guidance and exclusive insights.
Network with an exclusive community of AI-first professionals who are working smarter with AI. Learn how early adopters are using AI in their work and businesses.