Multi-Agent File Collaboration

What problem does it solve?

This approach defines a disciplined protocol for two or more AI agents to collaboratively edit the same document without overwriting each other's work. It establishes a clear division of labor, sequential editing flow, and a safe merge process to ensure consistency.

Core Features & Use Cases

• One-file-One-Agent rule to prevent simultaneous edits across agents.
• Partitioned work with branching and a final merge to produce a coherent final document.
• Shared memory coordination to track tasks, states, and decisions across agents.
• Use Case: two agents collaboratively author a project proposal by dividing sections and merging.

Quick Start

Freeze the main file, assign separate branch tasks to each agent, and then perform a controlled merge to produce the final document.