WRAI.TH Multi-Agent Orchestration

Example Use Cases

• 1

  Persistent memory and context across sessions.

• 2

  Structured communication with priority, delivery tracking, and multiple addressing modes.

• 3

  Coordinate tasks and goals within a flexible organizational hierarchy.

Description

WRAI.TH provides a persistent infrastructure for AI agents enabling context persistence, real communication, shared knowledge, and goal-driven task execution. It supports flexible organizational hierarchies, message priority and delivery tracking, and integrates with multiple AI clients via the MCP protocol. The system is designed as a management game metaphor, making multi-agent orchestration intuitive and scalable for solo developers and teams alike.