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plato-fleet — Fleet Discovery and Resource Management

ESP32s, Jetsons, desktops, and cloud instances discover each other and share resources. A Jetson sees its connected ESP32s as "rooms" with sensor capabilities. Star, mesh, and hierarchical topologies detected automatically.

Part of the Plato ecosystem.

What This Gives You

  • FleetNode — device representation with capabilities, status, metadata
  • Device types — ESP32, Jetson, Desktop, Server, Cloud, DGX
  • Capability matching — find the best node for a task by required capability
  • ESP32-as-room — sensors become rooms the agent can navigate
  • Topology detection — star, mesh, hierarchical layout
  • Resource summaries — distributed resource tracking across the fleet

Quick Start

use plato_fleet::*;

let local = FleetNode::new("jetson-1", DeviceType::Jetson, "Jetson Hub");
let mut fleet = Fleet::new(local);

let esp = FleetNode::new("esp-kitchen", DeviceType::ESP32, "Kitchen")
    .with_capabilities(NodeCapability {
        sensor_types: vec!["temperature".into(), "motion".into()],
        ..Default::default()
    });
fleet.register(esp);

// Discover nodes
let nodes = fleet.discover();

// Find best node for a task
let best = fleet.best_node_for("run inference");

// View ESP32s as rooms
let rooms = fleet.as_rooms("jetson-1");

// Resource summary
let summary = fleet.resource_summary();

How It Fits

The backbone of the edge computing story. openconstruct-esp32 nodes register here; openconstruct-jetson runs the hub. plato-shell uses fleet discovery to present sensor nodes as navigable rooms.

Installation

[dependencies]
plato-fleet = "0.1"

License

MIT

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Fleet management for Plato Shell — multi-agent orchestration, scaling, and coordination

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