13 boosters for "swarm" — AI-graded, open source, ready to install
Swarm Agents is a production-oriented multi-agent orchestration framework that enables persistent, autonomous agents to coordinate through peer-to-peer messaging and shared workspaces, supporting complex task decomposition and dynamic agent spawning. It benefits developers building sophisticated multi-agent AI systems who need robust orchestration, convergence detection, and supervisor-based monitoring.
A multi-agent framework that dynamically spawns specialized agents (frontend, backend, DevOps, etc.) to autonomously handle software development tasks across platforms like Claude and OpenAI. Developers building complex applications benefit from delegating work to a coordinated swarm of AI agents that each handle domain-specific responsibilities.
Cursor rules for implementing Agency Swarm with Mem0 memory management, enabling developers to build collaborative multi-agent systems with persistent memory capabilities.
tdd-london-swarm is an agent that enforces test-driven development practices with a library-first constraint, helping teams reuse existing components and patterns before writing new code. It benefits development teams adopting TDD methodologies who want to maintain code consistency and reduce duplication.
HiveMind-Actions is a serverless swarm AI system for GitHub that automates issue analysis and creates execution plans by coordinating multiple AI agents. It benefits development teams seeking to reduce infrastructure overhead while automating code review, issue triage, and implementation planning.
HiveMind-Actions is a GitHub Actions prompt that enables multi-agent AI code reviews by analyzing diffs against project rules and outputting structured JSON feedback. It benefits developers who want automated, rule-based code quality checks integrated directly into their CI/CD workflows.
DermaSwarm is a multi-agent AI system that assists dermatologists in diagnosing and treating skin conditions by cross-referencing peer-reviewed research and generating structured treatment plans. It's designed for healthcare professionals seeking evidence-based dermatological decision support.
A Copilot prompt booster providing architectural patterns and configuration rules for managing a self-hosted homelab stack with Docker Swarm, Traefik, and integrated services. Ideal for developers building or maintaining complex multi-service home infrastructure.
Create a git worktree for a feature (project)
Orchestrates multi-agent systems with distributed consensus, fault tolerance, and emergent behavior patterns. Ideal for developers building collaborative AI systems, decentralized applications, and complex distributed coordination workflows.
Enterprise-grade AI agent orchestration with ruv-swarm integration (Alpha Release)
Cursor Rules for the Agency Swarm framework that guide AI agents in architecting collaborative multi-agent systems with structured planning, tool development, and testing workflows. Developers building AI agent teams benefit from this systematic approach to agency creation.
Cursor Rules for Agency-Swarm provides a structured prompt framework for architects designing collaborative AI agent systems, enabling step-by-step planning and implementation of multi-agent architectures within the Cursor IDE.
