Examples

What people build with agents.

Reference architectures showing how the crates combine for different classes of autonomous system.

DeFi / Trading

Trading agents coordinate through market-based allocation.

Signal
Bidding
Risk
Execution

crates: market · runtime · messaging

Self-Healing Services

Supervised agents automatically restart failed components.

Health
Supervisor
Restart
Recovered

crates: runtime · agent-core

Robotics / IoT

Swarm and federation patterns coordinate distributed edge agents.

Edge
Swarm
Federation
Fleet

crates: patterns · messaging

Reasoning Chatbots

BDI reasoning combined with structured beliefs.

Input
Beliefs
Planning
Reply

crates: cognition · agent-core

Enterprise Automation

Agents coordinate multi-party workflows.

Intake
Hierarchy
Approval
Ledger

crates: patterns · runtime

Game AI

NPCs use goals, beliefs, and planning.

Perceive
Beliefs
Intentions
Act

crates: cognition · patterns

These are architectural illustrations of how the framework is intended to be used. The one production deployment documented on this site is xbot.

Pick an architecture and start.

Getting Started walks through beliefs, goals, messaging, and running an agent inside the runtime.