Mastra
Open-source TypeScript framework for building AI agents and applications.
About Mastra
Mastra is an open-source TypeScript framework designed for building AI-powered applications and agents. It provides developers with essential tools including workflows, memory management, harness capabilities, and agents that can be defined with instructions, models, tools, and runtime behavior. The framework emphasizes developer productivity with built-in observability features including metrics, datasets, traces, and evaluations that allow teams to monitor agent behavior before deploying to production. The framework is built for different agent deployment scenarios: internal agents that integrate with Slack, customer-facing agents that interact directly with users, and developer platform agents for shared team primitives. Mastra is used by organizations ranging from startups to large global companies including Agent 3, Brex, Marsh, and MongoDB. One limitation is that it requires TypeScript expertise, which may create a learning curve for teams primarily experienced with Python-based AI frameworks.
At a glance
- Platforms
- Web, API
- API
- Available
- Integrations
- Slack, OpenAI, MCP servers
- Last verified
- June 2026
★Among the most viewed AI tools in Developer Tools — ranked #23 of 573.
Who It's For
- •TypeScript developers
- •AI application builders
- •Enterprise teams building agentic solutions
- •Startups scaling AI agents
- •Organizations seeking observability in AI systems
- •Development teams needing shared agent primitives
How It Works
- 1Developers define typed agents with instructions, models, tools, and runtime behavior in TypeScript code
- 2Agents access built-in workflows and memory systems for context management
- 3The framework provides observability through metrics, datasets, traces, and evaluations
- 4Agents can be deployed across different contexts: internal automation, customer-facing interactions, or developer platforms
- 5Observability features allow teams to score and evaluate agent runs before production deployment
How to Use Mastra
- 1Install via npm using 'npm create mastra' quickstart command
- 2Define agents using the Agent class from @mastra/core/agent package
- 3Configure agents with ID, name, instructions, model selection, and tools
- 4Set up workflows and memory management for agent context
- 5Deploy agents to Slack for internal automation or customer-facing applications
- 6Use observability dashboard to monitor metrics, traces, and evaluations
Key Features
- •Typed agent definition in TypeScript
- •Workflow management system
- •Memory and context management (Harness)
- •Built-in observability with metrics and traces
- •Evaluation and scoring system for agent runs
- •Datasets for testing and training
- •Support for multiple AI models and providers
- •MCP (Model Context Protocol) server support
- •Pre-built deployable templates
- •Task lists for long-running complex work
Use Cases
- •Internal automation agents that integrate with Slack for team collaboration
- •Customer-facing agents that answer questions and complete tasks for users
- •Document processing and content generation at scale
- •Financial and agentic workflows for enterprise applications
- •AI SRE (Site Reliability Engineer) agents for developer platforms
Pros & Cons
Advantages
- •Open-source framework with strong observability built-in for monitoring agent behavior before production
- •TypeScript-native design enables type safety and better developer experience compared to untyped frameworks
- •Used by enterprise customers including Brex and Marsh, demonstrating production-readiness at scale
- •Supports multiple deployment scenarios (internal, customer-facing, developer platform) from single framework
Disadvantages
- •Requires TypeScript expertise, which may be a barrier compared to Python-first AI frameworks
- •Limited to TypeScript ecosystem, reducing flexibility for teams using other languages
- •Relatively newer framework with less community adoption compared to mature Python alternatives
Alternatives
See all Mastra alternatives →Related Tools
View All Tools
Cohere
Enterprise AI platform for natural language processing models.
MyApps.AI (also referred to as AI Tutor)
Unified AI platform with 200+ models and unlimited messages.
Angular
A development platform for building scalable web applications.
Context7
Up-to-date documentation for LLMs and AI code editors.
Amp
Frontier coding agent that works with leading AI models for development tasks.
PromptBoost
VS Code extension for discovering and managing AI prompts and MCP servers.
Reviews for Mastra
Based on 0 reviews
Rating Distribution
No Reviews Yet
Be the first to share your experience with Mastra!
Frequently Asked Questions
What is Mastra?
Mastra is an open-source TypeScript framework designed for building AI-powered applications and agents. It provides developers with essential tools including workflows, memory management, harness capabilities, and agents that can be defined with instructions, models, tools, and runtime behavior.
How much does Mastra cost?
Mastra uses custom pricing — contact the vendor for a quote.
Is Mastra free?
Mastra is a paid tool and does not offer a free plan.
What are the best Mastra alternatives?
Popular Mastra alternatives include AutoGPT, Camel AGI, Dify AI.
What is Mastra used for?
Mastra is commonly used for Internal automation agents that integrate with Slack for team collaboration, Customer-facing agents that answer questions and complete tasks for users, Document processing and content generation at scale.
Does Mastra have an API?
Yes, Mastra offers an API for developers.
What platforms does Mastra support?
Mastra is available on Web, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.