Mastra
~2 min read
Concept & How It Works
Why Does It Exist?
Python dominates agent tooling, but many product teams are TypeScript-native. Mastra brings agent primitives, tracing, and deployment patterns to the JS ecosystem without duct-taping Python microservices.
Real-World Analogy
Mastra is Next.js for agents — opinionated, TypeScript-native, with batteries included for the stack modern web teams already use.
Visual Workflows
What is Mastra?
Example
Scenario
Next.js app with a Mastra support agent: workflow retrieves from pgvector, calls GPT-4o, runs eval scorer on response quality before returning.
Solution
In Agent Frameworks, apply Mastra to this scenario: Next. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.
Practice Task
Do this before moving to the next module — reading alone is not enough.
Open the Code Walkthrough below and run it locally. Change one parameter related to Mastra (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.
Code Walkthrough
Highlighted lines show where Mastra happens in the code.
1import { Agent } from "@mastra/core/agent"; # import dependencies2import { openai } from "@ai-sdk/openai"; # import dependencies3
4const supportAgent = new Agent({5 name: "support",6 instructions: "Help customers with billing.",7 model: openai("gpt-4o"),8 tools: { lookupInvoice },9});Commands to Remember
Commands to Remember
pip install langgraph langchain-openai # LangGraph agent frameworkpip install openai-agents # OpenAI Agents SDKpip install crewai # multi-agent CrewAI framework
Common Mistakes
- Treating Mastra as a black box without evaluation
- Ignoring cost and latency in production
- Skipping error handling for mastra
Cheat Sheet
Quick recap — the most important points from this module.
Cheat Sheet
quick ref- •Mastra
- •Workflow
- •Zod
- •MastraClient