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Hive Academy

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Learn/Agents & Swarm

Agents & Swarm Ops

Meet the specialized AI workers that power the Hive.

What is an Agent?

An agent is an AI worker with a specialty, memory, and rules. Unlike a raw AI model, agents have context and purpose.

🎯
Specialty
Each agent is trained for specific tasks
🧠
Memory
Agents remember context and past decisions
📋
Rules
Agents follow guidelines and constraints

Meet the Agents

The Hive includes several specialized agents. Each has a role, preferred AI engine, and unique skills.

🏗️

Architect

Claude

Plans the overall structure before any code is written. Thinks about scalability, maintainability, and best practices.

System designPattern selectionTrade-off analysis
🔨

Builder

GPT

The workhorse. Takes architecture plans and turns them into working code. Fast, reliable, and thorough.

Code generationFeature implementationRefactoring
🎨

Designer

Gemini

Creates beautiful, usable interfaces. Handles Tailwind, animations, and responsive layouts.

UI componentsStylingUX patterns
🛡️

Guardian

Claude

Reviews everything before it ships. Catches bugs, security issues, and code quality problems.

Code reviewSecurity auditBug detection
🧠

Memory

Internal

Remembers past decisions, tracks context across sessions, and learns from your preferences.

Context trackingDecision historyPattern learning
🔀

Router

Internal

Decides which agent handles which task. Balances quality, speed, and cost.

Task routingLoad balancingCost optimization

How Swarm Ops Works

Swarm Ops is the coordination system that orchestrates all agents. When you give the Hive a task, here's what happens:

1
📝You submit a task

"Build a user authentication system"

2
🔀Router analyzes the request

Breaks it into subtasks, estimates costs, selects agents

3
Agents work in parallel

Architect plans, Builder codes, Designer styles

4
🛡️Guardian reviews everything

Catches bugs, security issues, quality problems

5
Result delivered to you

Working code, ready to use

The Swarm Ops panel in Command Center shows this workflow in real time.

Why This is Better Than One AI

🎯

Specialization

Each agent is optimized for its role. A code reviewer is different from a code writer.

🔍

Reliability

Multiple agents check each other. Bugs caught by Guardian, not by you.

💰

Cost Efficiency

Cheap models handle simple tasks. Expensive models only when needed.

📊

Explainability

You can see which agent did what. No mysterious black box.

Ready to see agents in action?

AGI-Hive Academy • Learning the future of AI collaboration
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