AI agent framework
Mastra is a TypeScript framework for building AI-powered applications and agents, providing model routing, agents, workflows, and evals.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose for a lightweight, framework-agnostic TypeScript AI toolkit with tight Vercel integration and a large ecosystem.
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
Choose for a TypeScript agent/workflow framework with built-in managed deployment and observability.
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose when building in Python; offers a mature ecosystem with many integrations, but not TypeScript.
The agent engineering platform.
Choose for a React-centric generative UI stack for agents; Mastra is more server/backend-oriented.
The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
Choose for a Python all-in-one AI framework that includes semantic search and LLM orchestration, not TypeScript.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Choose for a low-level, model-agnostic agent harness in Python or TypeScript when you want end-to-end control.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Choose for a TypeScript agent engineering platform with its own framework, but less established than Mastra.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Choose for a Python agent orchestration platform with built-in inspection and human-in-the-loop control.
Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.
Choose for Python-based agent development with Google's toolkit and supporting tools.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Choose for Python graph-based control flow and resilience, not TypeScript.
Build resilient agents.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose as a low-code visual automation platform for non-developers, not for embedding in code.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
These projects were analysed and named mastra among their alternatives. The relationship is not symmetric — how mastra rates them is a separate judgement, made when mastra is analysed in its own right.
calls mastra “Choose when you want a TypeScript framework specifically for agent orchestration with integrated workflows.”
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
calls mastra “TypeScript agent framework; choose it if you want a TS-native alternative with its own dev tooling and integrations.”
An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
calls mastra “Choose when you want a TypeScript framework for building agent applications/workflows instead of using Goose as the agent runtime.”
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
calls mastra “Full-stack TypeScript agent framework; choose when you want backend orchestration and might skip a separate frontend library.”
The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
calls mastra “Choose Mastra if you prefer a TypeScript agent/workflow framework over Letta's memory-centric server.”
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
calls mastra “Choose it for TypeScript-native agent/LLM application development without an included desktop environment.”
Agent Zero AI framework
calls mastra “Choose when your stack is TypeScript/Node and you need agent workflows in that runtime instead of Python.”
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.