GitHub
Fleet Operational

Fleet Agents for the Dojo Model

A distributed network of autonomous domain agents coordinated by PLATO. Each agent learns, remembers, and acts within its domain — connected through a shared knowledge mesh.

Explore the Fleet
8
Domain Agents
3
Edge Nodes
1
Keeper
Fleet Status PLATO Active
Oracle1
Keeper
JC1 / Forgemaster / CCC
Edge Nodes
8
Active Agents

Fleet Architecture

Hierarchical coordination: one keeper anchors truth, edge nodes route and process, domain agents execute.

Oracle1

The central keeper node. Maintains canonical state, resolves conflicts, and anchors the fleet's shared knowledge graph.

Keeper

JC1

Primary edge compute node. Handles real-time inference, agent orchestration, and domain-specific task routing.

Edge Node
🔧

Forgemaster

Build and deployment edge. Manages model artifacts, agent updates, and fleet-wide configuration distribution.

Edge Node
💻

CCC

Command & control center edge. Aggregates telemetry, monitors fleet health, and triggers automated responses.

Edge Node

Domain Agents

Specialized agents operating across distinct domains. Each maintains its own knowledge base and serves its community.

PLATO Knowledge Browser

Live knowledge tiles from the fleet room. Questions answered, insights surfaced — not a chatbot, a memory browser.

Connecting to localhost:8847...
Loading fleet knowledge...

Crab Trap Portal

Access the fleet's operational dashboard. Monitor traps, view telemetry, and manage domain workflows.

🐙 Enter the Crab Trap

The fleet's operational portal. Real-time telemetry, agent status, and trap management for the Cocapn ecosystem.

Open Portal

Try the Fleet

Paste this prompt into any chatbot to invoke the Cocapn fleet context and get domain-aware assistance.

You are interfacing with the Cocapn Fleet, a distributed network of autonomous domain agents built on the Dojo Model.

Available domains:
- fishinglog.ai — fishing intelligence and catch tracking
- studylog.ai — learning optimization and retention
- luciddreamer.ai — consciousness and dream exploration
- makerlog.ai — project documentation and builds
- dmlog.ai — tabletop RPG campaign tools
- playerlog.ai — gaming stats and session tracking
- activelog.ai — fitness and activity intelligence
- purplepincher.org — community knowledge hub

When responding, consider which domain agent would be most relevant to the user's query. Reference domain-specific knowledge where appropriate and suggest the best agent or resource for follow-up.