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Mastra

TypeScript-native framework for building production-grade AI agents with workflows, memory, and built-in observability.

FreeStarting price
336KMonthly visits
42Popularity
Mastra featured image

About Mastra

Mastra is a TypeScript-first framework designed for building production AI agents and applications. It provides typed agents, graph-based workflows, memory persistence, and built-in observability including metrics, logs, traces, and evaluations. The framework supports model routing across over 90 providers, MCP servers, and Node-compatible deployments, enabling teams to standardize multi-model access while maintaining deep observability for reliability, performance, and cost control. Developers define typed agents with instructions, tools, and models in a single file, then compose complex workflows using control-flow primitives like then, branch, and parallel. Memory can be persisted and retrieved from APIs, databases, or files to maintain context, while built-in tracing captures tokens, logs, and tool calls for debugging and iteration. Mastra Studio offers a visual interface to inspect workflow graphs, run details, traces, and eval scores, alongside memory snapshots and inputs/outputs, facilitating rapid debugging and regression checks. Deployments are streamlined to Hono servers or cloud providers with minimal configuration changes, supporting integrations into Next.js, React, or Node applications. Teams use Mastra for customer support copilots, internal Slack automation agents, developer SRE monitoring, and onboarding assistants embedded in web apps.

Key features

  • Typed agent definitions unifying instructions, models, tools, and runtime behavior
  • Graph-based workflow engine with then, branch, and parallel control-flow primitives
  • Built-in memory persistence and retrieval from APIs, databases, and files
  • Comprehensive observability with metrics, logs, traces, and evaluations
  • Model routing across 90+ providers with MCP server support
  • Node-compatible deployments to Hono servers or cloud providers
  • Mastra Studio for visual debugging, iteration, and regression checks
  • Human-in-the-loop approvals and resilient execution state persistence
  • TypeScript-native development with straightforward integration into Next.js, React, and Node apps
  • Repeatable datasets and scoring for production promotion

Use cases

  • Customer support copilot with retrieval and escalation workflows
  • Slack automation agents for internal operations and reporting
  • Developer SRE agent monitoring logs, traces, and alerts

Pros

  • TypeScript-first framework with strong typing for agents and workflows
  • Built-in observability with metrics, logs, traces, and evaluations for debugging and iteration
  • Supports model routing across over 90 providers and MCP servers
  • Visual Studio interface (Mastra Studio) for inspecting workflows, traces, and evaluations
  • Streamlined deployments to Hono servers or cloud providers with minimal configuration

Cons

  • Requires familiarity with TypeScript and modern JavaScript tooling
  • Complexity in defining typed agents and workflows may have a learning curve
  • Dependency on external model providers for LLM access

Frequently asked questions about Mastra

What is Mastra and what does it do?

Mastra is a TypeScript-first framework for building production AI agents and applications, offering typed agents, graph-based workflows, memory persistence, and built-in observability.

Who is Mastra designed for?

Mastra is designed for developers and teams building AI agents and applications, particularly those using TypeScript and requiring standardized multi-model access and deep observability.

How does Mastra handle model routing?

Mastra provides a model router that supports access to thousands of models across over 90 providers, enabling teams to standardize multi-model access within their applications.

What kind of observability does Mastra offer?

Mastra includes built-in observability features such as metrics, logs, traces, and evaluations, which help teams debug, iterate, and ensure reliability, performance, and cost control.

Can Mastra be integrated into existing applications?

Yes, Mastra supports integrations into Next.js, React, or Node applications, and deployments can be streamlined to Hono servers or cloud providers with minimal configuration changes.

How do I get started with Mastra?

To get started, run `npm create mastra@latest -- --llm ` to create a new project, then navigate to the project directory and start the dev server with `npx bgproc start -n -w -- npm run dev`.

Mastra traffic & engagement

mastra.ai · third-party estimates from Similarweb

Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 2026336K-9.3% MoM12-month high 370K (Aug 2026)
Rank among AI websites#979▼ 44 vs last monthof 8,652 tools on aitoolnavio™
Rank in Automation & Agents#84of 1,179 tools in this category
Top marketUnited States19.2%Top 5 countries bring 41% of visits
Average visit1m 18sLonger than 67% of AI sites
Pages per visit2.7More than 73% of AI sites
Bounce rate45%Leave after one page · lower is better
Similarweb global rank#135,516#128,738 in United States

Traffic trend

Last 4 months · grows by one month every month

  • Jun 2026309K
  • Jul 2026363K+17.3%
  • Aug 2026370K+2%
  • Sep 2026336K−9.3%

Where visitors come from

Share of visits by channel

  • Direct40.3%
  • Search37%
  • Referrals10%
  • Social9%
  • Mail1.2%

No measurable traffic from Paid Referrals.

Top countries

Share of visits · estimated visits

  • United States64K19.2%
  • India34K10%
  • United Kingdom16K4.8%
  • Brazil12K3.6%
  • Nigeria9.7K2.9%

Other countries: 59.5%

Visits sent by AI assistants

How people reach this site from other AI tools

1.5K a month · 0.4% of all visits

  • ChatGPT0.7%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

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