
Mastra is a TypeScript framework for building AI agents with workflows, memory, streaming responses, interactive playground support, evaluation tools, and tracing for observability.
Mastra is a TypeScript-first framework for building, orchestrating, and operating AI agents in production. It provides a structured way to define agents, connect them to tools and data sources, and manage their behavior across complex workflows. The primary purpose of Mastra is to help developers move from prototype to reliable, debuggable AI systems with strong observability and control, all within a familiar TypeScript ecosystem.
Mastra includes a workflow engine that lets you compose multi-step agent flows, handle branching logic, and coordinate calls to models and external APIs. Built-in memory management enables agents to maintain context over time, combining short-term conversational state with longer-term knowledge storage. The framework supports streaming responses for responsive user experiences and offers an interactive playground where developers can test prompts, flows, and tools in real time. In addition, Mastra provides evaluation (evals) tooling and tracing so you can inspect agent decisions, measure performance, and iterate safely on prompts and workflows.
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