84 boosters for "multi-agent" — AI-graded, open source, ready to install
A comprehensive guide to creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI agents with defined roles, capabilities, and collaboration features. Ideal for AI engineers and developers building multi-agent systems.
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.
Heuristic scoring (no AI key configured).
Sub-Agents is a lightweight framework for decomposing complex tasks into specialized child agents that collaborate under a parent orchestrator agent. Developers building multi-agent systems in Python will benefit from this pattern for creating modular, reusable agent hierarchies.
A PHP SDK for building AI agents with structured outputs and multi-agent orchestration, enabling developers to decompose complex tasks into specialized subagents with isolated contexts and independent execution.
A Python SDK for building production-ready agentic AI applications with Claude, featuring agents, handoffs, and guardrails for complex multi-agent workflows. Developers building AI agents and multi-tool systems will benefit from this lightweight, easy-to-learn framework.
A comprehensive guide for creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI team members with defined roles, goals, and collaborative capabilities. Ideal for developers building multi-agent AI systems who need clear patterns for agent design and configuration.
A Copilot integration that adds AI-powered chat assistance to Redmine project management, enabling developers to interact with issues, repositories, wikis, and other Redmine features through a multi-agent architecture. Developers and Redmine administrators benefit from streamlined task automation and intelligent issue handling.
Concurrent Sub-Agents is an agentic terminal application that enables multi-agent workflows by automatically executing independent sub-agent tool calls in parallel, reducing latency without requiring explicit concurrency logic from the LLM. Developers building complex AI agent systems on Claude will benefit from faster, more efficient agent coordination.
Turkey-build is a multi-agent orchestration system for building production-ready applications across 7 modes (greenfield, iteration, bugfix, refactor, UI polish, migration, audit), with PM-driven coordination and runtime verification for teams that need structured, quality-gated development workflows.
Cursor rules for implementing Agency Swarm with Mem0 memory management, enabling developers to build collaborative multi-agent systems with persistent memory capabilities.
Agent Tower Plugin enables developers to orchestrate multiple AI coding assistants (Claude, Codex, Gemini) in council, debate, and consensus workflows within Claude Code for richer problem-solving perspectives. It's useful for teams and individual developers seeking diverse AI viewpoints on complex coding tasks.
A strategic project leadership agent that interviews users, analyzes project requirements, and assembles specialized teams by recruiting other agents. Ideal for organizations using multi-agent systems who need automated project orchestration and team coordination.
mesh-coordinator is an agent designed to orchestrate multi-agent tasks while enforcing library-first development practices. It benefits teams building modular, reusable agent systems who want to avoid code duplication and maintain consistency across projects.
A resource-allocator agent for optimizing task distribution and resource management across agent-based workflows in Claude environments. Benefits operations teams and developers building multi-agent systems.
A gossip-coordinator agent for managing distributed consensus and orchestration tasks across Claude platforms. Useful for teams building multi-agent systems requiring coordination protocols.
Skill-Based Agents provides documentation for 6 autonomous agent skills (archon-manager, framework-orchestrator, multi-agent-architect, codex-review-workflow, design-system-architect, security-architect) that handle strategic coordination, orchestration, and governance across projects. Developers building multi-agent systems or requiring automated governance workflows benefit from understanding these reusable agent patterns.
Autarch Agent System is a multi-agent architecture that orchestrates AI workflows across scoping, research, planning, execution, and review stages, enabling developers to leverage AI for structured, traceable code generation and codebase analysis at scale.
DynamicEndpoints Autogen_mcp enables creation and management of collaborative AI agents that solve problems through natural language interaction. Developers and AI teams benefit from orchestrating multi-agent workflows across Claude Desktop, Claude Code, and Cursor.
A comprehensive guide to building sophisticated AI agents using the Robota SDK, covering architecture patterns, tool integration, and best practices. Developers building multi-agent systems and complex AI workflows benefit from its advanced techniques and reusable patterns.
Agent Tower Plugin orchestrates multiple AI coding assistants (Claude, Codex, Gemini) to deliberate on coding tasks through council, debate, and consensus workflows. Developers benefit from diverse AI perspectives and structured decision-making for complex coding challenges.
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.
