Search

More Filters

Show More
Add Listing
Go Back

mastra

0
New
Multi-Agent Platforms & Frameworks
Report

Report Abuse

Basic Information

Mastra is an opinionated TypeScript framework designed to help developers build AI applications and agent-driven features quickly. It provides core primitives such as agents, tools, durable workflows, retrieval-augmented generation (RAG) pipelines, integrations, and automated evals. Mastra uses the Vercel AI SDK for unified model routing so you can work with multiple LLM providers and choose models, providers, and streaming behavior. The project includes a CLI scaffolding tool to create new Mastra projects and a development playground accessible via the mastra dev command. It supports running on a local machine or deploying to serverless environments. The repository also provides an MCP server package to expose Mastra documentation to AI assistants and integration instructions for developer tools like Cursor and Windsurf. System requirements note Node.js v20 or later.

Links

Stars
15789
App URL
https://github.com/mastra-ai/mastra
Github Repository
https://github.com/mastra-ai/mastra/blob/main/README.md

Categorization

App Details

Features
Mastra bundles several focused features for building production AI systems. LLM model routing is implemented via the Vercel AI SDK to support OpenAI, Anthropic, Google Gemini, and other providers with optional streaming. Agents allow LLMs to select and sequence actions using typed tools and access synced knowledge. Tools are typed functions with input schemas, executors, parameter validation, and access to integrations. Workflows are durable graph-based state machines with branching, loops, waits, embedding, error handling, retries, and OpenTelemetry tracing. RAG provides an ETL-style pipeline for chunking, embedding, and vector search to construct searchable knowledge bases. Integrations are auto-generated, type-safe API clients for third-party services. Evals provide automated testing and scoring of model outputs. Additional utilities include a create-mastra CLI and an MCP docs server for tool-assisted model context.
Use Cases
Mastra accelerates development by providing reusable, opinionated building blocks so teams can focus on product logic rather than plumbing. Typed tools and auto-generated integrations reduce runtime errors and simplify calling third-party services. Durable workflows and OpenTelemetry traces make long-running processes, retries, and human-in-the-loop steps easier to orchestrate and observe. RAG pipelines standardize ingestion and vector search to let agents consult project-specific knowledge. Model routing via a unified SDK lets projects swap or mix LLM providers without changing core code. Evals enable repeatable, model-graded or rule-based testing of outputs for quality tracking. The create-mastra CLI and local dev playground speed onboarding. The MCP server exposes Mastra docs to assistant contexts to improve developer productivity in supported editor integrations.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

Similar Listings

listing image

virtual lab

0 (0 review)
listing image

mnemo

0 (0 review)
listing image

EdgeChains

0 (0 review)
listing image

RAG Agents Accelerator

0 (0 review)
listing image

LLM Zero to Hundred

0 (0 review)

Featured Listings

Tags

Please fill the required fields*