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Build AI applications and agents with a modern TypeScript framework.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mastra" yet — see the docs or source repo.
Using Mastra, design a TypeScript project structure for an AI customer support agent with intent detection, knowledge base retrieval, ticket escalation, and logging modules. Include key file descriptions and setup steps.
A Mastra project blueprint with folder structure, core module responsibilities, and implementation steps for quick setup.
Using Mastra, plan a multi-tool agent workflow: first search documentation, then call an external API, and finally generate a structured answer. Provide TypeScript pseudocode and an execution flow explanation.
A clear agent orchestration plan including tool order, state transitions, and a sample code skeleton.
Explain how to build production foundations for an AI application with Mastra, including environment setup, model call abstraction, error handling, monitoring logs, and testing strategy. Provide an implementation checklist.
Production-oriented architecture guidance to help teams develop, test, and deploy AI applications more reliably.
Orchestrate multiple AI agents with skills, memory, and cross-agent collaboration.
Autonomously build software with zero-API workflows, auto-correction, and test-driven pipelines.
Generate complete AI videos from a short brief for creative content.
Use GUI agents to automate real-world desktop and web interface tasks.
Use natural language for marketing intelligence, content, campaigns, and CRM analysis.
Give AI assistants persistent cross-session memory with natural language retrieval.