About This Site
TypeScript framework for building, deploying, and observing AI agents 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.
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Key Features AI
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
Advantages
Purpose-built for TypeScript and modern JavaScript applications
Combines agents, workflows, memory, MCP, deployment, and observability in one framework
Open-source core available under the Apache 2.0 license
Supports many AI model providers through a unified model router
Provides typed workflows with durable execution and human approval steps
Includes strong built-in debugging, tracing, evaluation, and monitoring features
Supports both managed cloud deployment and self-hosting
Unlimited users, deployments, and projects are available on the free Platform Starter plan
缺点：Requires TypeScript or JavaScript development experience
缺点：Managed Platform usage can incur additional charges for events, CPU time, storage, memory, and data transfer
缺点：Gateway model usage is charged at market rate plus 5.5%
缺点：Advanced enterprise capabilities require custom pricing
缺点：The framework may be more complex than lightweight libraries for simple chatbot projects
缺点：Users must configure external model providers and related credentials
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