AI-Agents

> A structured guide to build and orchestrate a complete AI-powered software development team using specialized agents, MCP tools, and shared memory across projects.

Stop prompting AI one task at a time. This repo gives you a reusable team of specialized agents — each with a defined role, tools, memory, and conventions — that work together to design, build, test, and document software projects.

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• Developers who want to automate repetitive dev tasks with AI
• Teams exploring multi-agent workflows for real projects
• Anyone building with Claude, GPT, or Gemini APIs
• Developers tired of re-explaining context to AI on every session

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Most people use AI as a single assistant. This repo treats AI as a team:

You describe what to build
        ↓
PO defines the User Stories
        ↓
Scrum Master coordinates the team and manages tasks
        ↓
DBA designs the database schema
        ↓
Backend implements the API
        ↓
Frontend builds the UI
        ↓
Tester runs E2E tests
        ↓
DocGen documents everything

Each agent has one responsibility, knows only its own routes, and updates its own memory at the end of every task.

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The agent is the specialization. The project context is swappable:

Backend Agent + context of Project A  →  works on Project A
Backend Agent + context of Project B  →  works on Project B

You never create new agents per project — you create new contexts.

Each agent maintains its own memory file per project:

memory-backend.md   → endpoints created, patterns used, decisions made
memory-dba.md       → tables, relations, design decisions
memory-tester.md    → what was tested, bugs found, coverage

No more re-explaining what was already built.

Agents interact with the real world through MCP (Model Context Protocol) se