Verify the work coordination status in a directory by analyzing beep/boop files, identify stale items, and optionally clean them up based on age thresholds to streamline workflow.
Signals task completion by removing the boop file and creating a beep file in the specified directory, preparing it for new work. Includes agent ID and optional message for tracking.
Creates or updates a boop file to claim a directory for work, signaling in-progress tasks and preventing conflicts with other agents. Requires directory path and agent identifier.
Generate a beep file to signal task completion and clear a directory for new work. Ideal for coordinating AI agents in shared codebases using file-based signaling within Beep Boop MCP.
Send updates to Slack or Discord for a captured message by specifying its ID and the new content to share. Ensures coordinated communication between AI agents via the Beep Boop MCP server.
Start new conversations on Slack or Discord, automatically creating threads on Discord. Specify platform, channel ID, message content, and optional agent ID for collaboration.
A Model Context Protocol (MCP) server for coordinating work between multiple AI agents in monorepos and shared codebases using a simple file-based signaling system or Discord thread chat.
A goal-agnostic parallel orchestration framework that enables sophisticated multi-agent coordination for tasks like code generation, UI development, and research through specification-driven architecture. It utilizes wave-based generation and intelligent context management to execute complex, iterative agentic loops.
An intelligent middleware that determines when human intervention is necessary in AI agent operations using a sequential scoring system that evaluates multiple dimensions of a request.