What is the primary purpose of Swarm CLI?

Swarm CLI provides a suite of commands that allow Claude to work as part of a multi-agent team, sharing memory, managing tasks, and coordinating file access.

Does Swarm CLI prevent agents from overwriting each other's work?

Yes, it includes a reservation system where agents can lock specific files while editing and release them once the task is complete.

Can I track the progress of complex tasks?

Absolutely. The skill includes commands to visualize task trees, report percentage completion, and view a dashboard of live worker status.

How does the hivemind memory help during development?

It allows agents to store and search for 'learnings' using semantic search, ensuring that once a solution is found for a project-specific bug or pattern, it is available to all other agents.

When should I use the 'checkpoint' command?

You should use the checkpoint command before performing risky operations to save the current context, allowing for easier recovery if the operation fails.

Swarm CLI Agent Orchestrator

Name: Swarm CLI Agent Orchestrator
Author: joelhooks

byjoelhooks

•

381

Collaboration Tools

Coordinates multi-agent workflows through shared hivemind memory, task tracking, and file reservation to prevent development conflicts.

About

The Swarm CLI skill empowers Claude to operate effectively within a multi-agent environment by providing a robust framework for shared knowledge and task management. It allows agents to query a 'hivemind' for past solutions, manage task lifecycles through a central repository, and coordinate file edits via a reservation system to avoid race conditions. This skill is essential for complex, distributed development projects where multiple AI agents or human contributors need to maintain synchronization and institutional knowledge.

Key Features

381 GitHub stars
Distributed task tracking with hierarchy visualization and prioritization
Context checkpoints and progress reporting for long-running workflows
Asynchronous coordination via Swarm Mail for agent communication
Semantic and full-text hivemind memory for persistent project knowledge
File reservation system to prevent simultaneous edit conflicts

Use Cases

Building a persistent knowledge base of project-specific patterns and bug fixes
Coordinating multiple AI agents working on the same repository simultaneously
Managing complex task dependencies and file locks in collaborative AI development

About

Key Features

381 GitHub stars
Distributed task tracking with hierarchy visualization and prioritization
Context checkpoints and progress reporting for long-running workflows
Asynchronous coordination via Swarm Mail for agent communication
Semantic and full-text hivemind memory for persistent project knowledge
File reservation system to prevent simultaneous edit conflicts

Use Cases

Building a persistent knowledge base of project-specific patterns and bug fixes
Coordinating multiple AI agents working on the same repository simultaneously
Managing complex task dependencies and file locks in collaborative AI development