# Personal AI Infrastructure — Logistics Module

**Version**: v1.1.9 | **Status**: Active | **Last Updated**: March 2026

## Overview

The Logistics module provides task scheduling, coordination, and resource management for the PAI Algorithm's PLAN phase. It handles task prioritization, deadline management, and resource allocation across concurrent agent workflows.

## PAI Capabilities

- Priority-based task scheduling with deadlines
- Resource allocation and contention management
- Gantt-style schedule visualization
- Dependency-aware task ordering
- Scheduler metrics and utilization tracking

## Key Exports

| Export | Type | Purpose |
|--------|------|---------|
| Schedulers | Various | Task scheduling and prioritization |
| Resource managers | Various | Resource allocation and tracking |
| Metrics | Various | Scheduler utilization and performance |

## PAI Algorithm Phase Mapping

| Phase | Logistics Contribution |
|-------|-------------------------|
| **PLAN** | Schedule tasks with priorities and deadlines |
| **EXECUTE** | Allocate resources and coordinate concurrent work |
| **VERIFY** | Check schedule adherence and resource utilization |

## MCP Integration

Scheduler metrics exposed for PAI dashboard consumption.

## Architecture Role

**Service Layer** — Consumed by `orchestrator/` (workflow scheduling), `agents/` (task distribution), and `calendar/` (deadline integration).

## MCP Tools

This module does not expose MCP tools directly. Access its capabilities via:
- Direct Python import: `from codomyrmex.logistics import ...`
- CLI: `codomyrmex logistics <command>`

## Navigation

- **Self**: [PAI.md](PAI.md)
- **Parent**: [../PAI.md](../PAI.md) — Source-level PAI module map
- **Root Bridge**: [../../../PAI.md](../../../PAI.md) — Authoritative PAI system bridge doc
- **Siblings**: [README.md](README.md) | [AGENTS.md](AGENTS.md) | [SPEC.md](SPEC.md) | [API_SPECIFICATION.md](API_SPECIFICATION.md)
