Mastra
The TypeScript framework for building AI agents and workflows
About Mastra
Mastra is an open-source TypeScript framework for building AI-powered applications and agents. Built by the team behind Gatsby, it provides AI primitives including agents, workflows, RAG, memory, and evals — everything needed to go from prototype to production.
Pros & Cons
Pros
- Excellent developer experience with clean TypeScript-first API that feels natural for JS developers
- Comprehensive AI primitives (agents, workflows, RAG, memory, evals) in a single framework
- Backed by experienced team (Gatsby founders) and strong funding ($13M seed, YC-backed)
- Unified model router supporting 88+ providers eliminates vendor lock-in
- Durable workflows with human-in-the-loop support for complex production use cases
- Active open-source community with rapid iteration and growing ecosystem
Cons
- TypeScript/JavaScript only — not suitable for teams working primarily in Python
- No production-ready frontend included — you must build or integrate your own UI
- Workflow execution state is not persisted by default, requiring additional setup for crash recovery
- Relatively new framework (2024) with a still-maturing ecosystem compared to LangChain
- Enterprise features require a separate commercial license
Key Features
AI Agents
Build autonomous agents that use LLMs and tools to solve open-ended tasks with built-in memory and context management
Durable Workflows
Graph-based state machines with branching, parallel execution, resource suspension, and human-in-the-loop interactions
RAG Pipelines
Retrieval-augmented generation for grounding agent responses in external knowledge bases and documents
Model Router
Access 88+ AI providers and 2,600+ models through a unified interface including OpenAI, Anthropic, and Google
Agent Memory
First-class memory system that maintains context across interactions, recalling previous queries, session data, and task states
Evals & Observability
Built-in evaluation framework and tracing for testing agent quality and monitoring production performance
Local Dev Playground
Interactive sandbox environment for testing and debugging agents, workflows, and tools during development
Framework Integrations
Integrates with React, Next.js, Node.js, Vercel AI SDK, and CopilotKit for seamless embedding in existing apps
Pricing
- Full framework access
- Agents, workflows, RAG, memory
- 88+ AI provider integrations
- Local dev playground
- Evals and tracing
- Community support
- Apache 2.0 license
- Everything in Open Source
- Enterprise-licensed features (ee/ directory)
- Priority support
- Production deployment assistance
Best For
Autonomous AI Agents
Build intelligent agents that can reason, use tools, and complete multi-step tasks with persistent memory across conversations
RAG-Powered Knowledge Apps
Create document QA systems, knowledge search tools, and transcript analysis applications grounded in your own data
Complex Agentic Workflows
Orchestrate multi-agent systems with branching logic, parallel execution, and human approval steps for enterprise processes
AI-Enhanced SaaS Products
Embed AI capabilities into existing React or Next.js applications with type-safe APIs and streaming support
Rapid AI Prototyping
Quickly prototype and iterate on AI features using the local dev playground before deploying to production
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