Project Title

mastra — TypeScript AI Agent Framework for Building Assistants and RAG Systems

Overview

Mastra is a TypeScript framework designed for building AI agents and assistants, offering a unified interface to interact with various LLM providers. It stands out for its support of any LLM, including GPT-4, Claude, Gemini, and Llama, and its ability to run locally, on a Node.js server, or in a serverless cloud environment.

Key Features

Unified LLM Model Interface
Agent Systems for Action Sequences
Typed Tools with Integration Access
Durable Workflows with State Machines
Retrieval-Augmented Generation (RAG) for Knowledge Bases
Auto-generated, Type-Safe API Clients for Integrations

Use Cases

Large companies building internal AI automation tooling
Customer-facing AI agents in various industries
Knowledge base construction for agents with RAG
Streamlined development of AI-driven applications

Advantages

Supports a wide range of LLM providers and models
Flexibility to deploy on various platforms (local, Node.js, serverless)
Comprehensive feature set for building complex AI systems
Integration with third-party services for extended functionality

Limitations / Considerations

The project's license is currently unknown, which may affect its use in commercial applications
As a TypeScript framework, it requires familiarity with TypeScript for effective use

LangChain: A framework for building LLM applications, differing in its focus on language model chains.
Rasa: An open-source conversational AI framework, primarily for chatbots, with a different approach to dialogue management.

Basic Information

GitHub: https://github.com/mastra-ai/mastra
Stars: 16,392
License: Unknown
Last Commit: 2025-09-08

📊 Project Information

Project Name: mastra
GitHub URL: https://github.com/mastra-ai/mastra
Programming Language: TypeScript
⭐ Stars: 16,392
🍴 Forks: 1,077
📅 Created: 2024-08-06
🔄 Last Updated: 2025-09-08

🏷️ Project Topics

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