Hive Academy
Learn how AGI-Hive works
What is AGI-Hive?
Understanding the multi-agent architecture that powers intelligent software development.
The Hive in One Sentence
AGI-Hive is a team of AI agents working together like a crew — not a single model doing everything alone.
Think of it like a construction crew: you wouldn't have one person be the architect, plumber, electrician, and inspector all at once. Each specialist does what they're best at.
Why Many Agents, Not One?
Single AI models are impressive, but they have limits. When you ask one model to plan, code, review, and remember context all at once, quality drops. The Hive splits work across specialized agents:
Architect
Plans the system structure, defines architecture patterns, makes high-level decisions.
Builder
Writes the code, implements features, handles the actual construction work.
Designer
Creates UI/UX, designs visual elements, ensures beautiful and usable interfaces.
Guardian
Reviews code, catches bugs, ensures security, validates quality standards.
Memory
Maintains context, tracks decisions, remembers past work and learnings.
How the Hive Talks to AI Models
The Hive doesn't replace GPT, Claude, Gemini, or Grok — it orchestrates them. It's a coordination layer that routes tasks to the best model for each job:
Why This Leads Toward AGI
Artificial General Intelligence isn't about one super-smart model. It's about systems that can learn, adapt, coordinate, and improve themselves. The Hive architecture is designed with this in mind:
Multi-Agent Coordination
Agents work together, review each other, and catch mistakes humans might miss.
Shared Memory & Canon
The Hive remembers decisions, patterns, and context across sessions.
Drift Detection
Automatically detects when code strays from best practices and suggests fixes.
Self-Optimizing Routing
Learns which models work best for which tasks and routes accordingly.