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agents
9 pages
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Mastra

1

The TypeScript agent framework — agents, tools, workflows, memory, RAG, eval, and observability, built on top of the Vercel AI SDK. Start here for the mental model, then go deep.

Building agents

2

The minimal end-to-end path — define a tool, define an agent, register it on the Mastra instance, and call it from your app.

Multi-agent systems

3

When one agent isn't enough — a supervisor agent that delegates to specialist sub-agents, plus the other coordination patterns.

Phase 1 · Set up the AI dev environment

4

Stand up the agent operating system for a CodeCanyon Laravel app — the constitution, permission modes, rules, skills, and IDE wiring that every later phase relies on.

AI writing contract

5

Binding rules for Cursor, Claude, Codex, and other agents authoring ZajLibrary docs — voice, editorial color, plugin mechanics, and mandatory visuals.

Authoring & agents

6

Agent-facing digests for voice, plugins, intake, and QC — always verify against AGENTS.md and code truth.

Use local ZajLibrary MCP

7

Run zajlibrary-local on port 4321 — when to prefer local over prod, dev setup, index refresh, CodeCanyon playbook QA, and testing submit_feedback on the dev queue.

Use the ZajLibrary MCP

8

Connect Cursor or Claude Code to ZajLibrary at /api/mcp — endpoints, tools, auth scopes, feedback, admin triage, smoke test, and a reliable search-then-read workflow for agents.

AI Coding Agent Setup Reference

9

A reusable catalog for configuring AI coding agents — MCP, Skills, Subagents, Slash Commands, Hooks, Plugins, Rules, and memory — across Claude Code, Cursor, Codex, and Windsurf.