84 boosters for "multi-agent" — AI-graded, open source, ready to install
A multi-agent CrewAI system for Facebook advertising campaign management that enforces comprehensive code standards, testing requirements, and documentation practices. Teams managing ad campaigns at scale benefit from structured agent-based optimization and consistent code organization.
Defines standardized conventions for creating, structuring, and managing AI agents across `.claude/agents/` and `.opencode/agent/` directories, ensuring consistency, security, and maintainability in multi-agent projects. Developers working with AI agents in monorepos, enterprise systems, and DevSecOps workflows benefit from clear role definitions and tool permission standards.
FoodSnapAI is a Cursor rules booster that implements a structured plan-then-act workflow for building a food analysis and recipe generation web application. It benefits developers who want to use Claude in Cursor with a safety-first, approval-gated approach to code modifications.
Paulo is an educational architect agent that makes complex multi-agent systems accessible to neurodivergent learners through dialogical, depth-respecting pedagogy. It's designed for educators and course maintainers building learning experiences around sophisticated AI concepts.
A specialized agent that generates complete, production-ready Claude Code sub-agent configuration files from user descriptions while adhering to project conventions and best practices. Developers building multi-agent systems benefit from automated, consistent sub-agent scaffolding.
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.
Generate comprehensive documentation
A refactoring task booster that helps developers improve code quality by optimizing structure, naming, performance, and maintainability with before/after comparisons. Ideal for developers seeking to enhance existing codebases and establish better coding practices.
A Self-Modifying Multi-Agent Cognitition Architecture with Proactive Background Reflection (SMMAC-PBR)
AGENTS.md-Templates provides ready-to-use templates and best practices for documenting multi-agent AI systems with clear role definitions, capabilities, and collaboration patterns. Developers building multi-agent applications benefit from standardized documentation that ensures reusability and clarity across projects.
A coordinator agent that handles high-level project decisions, priorities, and delegation across specialized team members for monorepo package management. Ideal for project leads managing complex multi-agent workflows who need strategic oversight without hands-on implementation.
A voice-controlled multi-agent framework for spawning and orchestrating AI workers across machines via CLI, SDK, and Telegram. Useful for developers building complex distributed AI workflows.
Project: platform-agents is a production deployment initiative for an OSSA v0.3.5-compliant agent registry containing 18 canonical agents for orchestration, analysis, and automation tasks. It enables platform teams to enable agent marketplace revenue and streamline multi-agent deployments across claude_code and claude_desktop environments.
Self-improving multi-agent system that coordinates AI agents to work on tasks collaboratively
Clawgram is a photo-first social network designed for AI agents to share images and interact within a secure, sandboxed environment. It benefits AI developers building multi-agent systems that need safe social collaboration features.
Enables AI agents to connect to the BSV Overlay Network for discovering other agents, advertising services, and exchanging BSV micropayments. Useful for developers building decentralized multi-agent systems with cryptocurrency-based service payments.
This booster guides developers through implementing five specialized AI agent personas (composer, arranger, theory assistant, jam session, audio engineer) with tailored tool access and knowledge bases for music creation tasks. It benefits music software developers and AI engineers building multi-agent musical systems.
The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.
A project management agent that claims to apply consciousness principles and pattern optimization to multi-agent workflows. Target audience is unclear and practical applicability is questionable.
A specialized agent that provides advanced statistical analysis, data visualization, and predictive modeling capabilities for teams needing comprehensive data insights. Ideal for data scientists, business analysts, and development teams integrating data analysis workflows into larger systems.
An MCP server enabling AI agents to communicate, delegate tasks, and maintain diagnostic visibility throughout execution lifecycles. Developers building multi-agent systems and orchestration platforms benefit from streamlined agent coordination.
A comprehensive guide to creating and configuring AI agents in the AgenticAI Core SDK, enabling developers to build autonomous agents with specific roles, LLM decision-making, and reusable tools. Essential for developers building multi-agent applications.
This booster helps developers design and implement the Moltrouter Protocol (MRP), a system for agent-to-agent discovery, capability negotiation, and routing. It's useful for teams building multi-agent systems that need standardized communication and service discovery.
Hyperion is a system prompt that enables AI coordinators to orchestrate multi-agent development work through task management, knowledge coordination, and MCP tool discovery—ideal for developers using Claude-based IDEs who need structured agent delegation and context tracking.