Multi-Agent Coordination

About

Enable teams of AI agents to collaborate effectively on complex projects within the Agent Hive framework. This skill provides a comprehensive protocol for multi-agent workflows, including git-based shared memory, automated orchestration, and an optional real-time coordination server to prevent conflicts. By defining clear rules for task ownership, dependency management, and inter-agent communication, it allows multiple agents to work in parallel or sequence, ensuring that complex projects are completed efficiently.

Key Features

• Establishes conventions for inter-agent communication through structured notes.
• 4 GitHub stars
• Implements a three-layer coordination system: Git-based, automated orchestration, and a real-time server.
• Defines a clear ownership protocol for claiming and releasing tasks to prevent conflicts.
• Manages complex task dependencies between projects using `blocked_by` and `blocks` relationships.
• Provides patterns for common multi-agent workflows, such as sequential handoffs and parallel work.

Use Cases

• Managing a team of specialized AI agents to complete a multi-stage software project.
• Running multiple agents in parallel to work on independent tasks without causing merge conflicts.
• Orchestrating a complex workflow where the output of one agent's task is the input for another.