Beep Boop
Coordinates work between multiple AI agents in shared codebases using a simple file-based signaling system to prevent conflicts.
About
The Beep Boop coordination system acts as a Model Context Protocol (MCP) server designed to prevent conflicts and ensure orderly collaboration when multiple AI agents operate within the same codebase or monorepo. It achieves this by employing a straightforward file-based signaling mechanism, where 'beep' files indicate work completion and 'boop' files signify ongoing work by a specific agent, thereby preventing race conditions and merge conflicts. Additionally, it features a robust ingress system for bidirectional communication, allowing agents to capture and respond to messages from platforms like Discord and Slack, streamlining agent-user interactions.
Key Features
- File-based agent coordination using `beep` (work complete) and `boop` (work in progress) signals
- 2 GitHub stars
- Enables bidirectional communication with users via `update_user` and `initiate_conversation` tools
- Automatic `.gitignore` management for coordination files to keep repositories clean
- Prevents race conditions, merge conflicts, and ensures orderly collaboration among AI agents
- Ingress system captures messages from Discord and Slack for agent processing
Use Cases
- Managing concurrent work on shared codebases by multiple AI agents
- Verifying and troubleshooting communication and coordination in distributed agent systems
- Notifying users about agent progress, task completion, or system alerts via Discord/Slack