One-command Agent Swarm launcher.
An implementation of a multi-agent swarm using LangGraph
AI Agent Swarm Orchestration CLI
Agent Swarm CLI for the terminal.
Multi-agent swarm orchestration for Elyra -- automated pipelines with visual progress tracking
Genesis — universal autonomous AI agent with multi-agent swarm execution
CLI for Viben - Agent Swarm × Code Evolution platform
Multi-agent swarm coordination for Cogitator
Multi-agent swarm coordination for OpenCode with learning capabilities, beads integration, and Agent Mail
Autonomous multi-agent swarm extension for pi — adaptive concurrency, pheromone communication.
Agent swarm simulation for structured world modeling with LLMs. Multi-agent worlds with HEXACO personalities, deterministic kernels, runtime tool forging, and reproducible forkable RunArtifacts. Built on AgentOS.
Noelclaw AI Operating System — persistent memory, multi-agent swarm, DeFi execution, market intelligence, and Sentinel-gated playbooks.
Multi-agent orchestration for Claude Code, Codex, Gemini CLI, and other AI coding assistants
Neural coordination plugin for multi-agent swarm intelligence using SONA, GNN, and attention mechanisms
OpenCode plugin for multi-agent swarm coordination
A TypeScript library for building orchestrated framework-agnostic multi-agent AI systems
CAST — Coordinated Agent Swarm Testing. Orchestrate Claude AI agents to perform systematic code analysis on any codebase.
Agent swarm framework for Claude Code. Plan, build, review, test, ship -- with human-in-the-loop gates.
Neural coordination plugin for multi-agent swarm intelligence using SONA, GNN, and attention mechanisms
Autonomous agent-to-agent swarm framework. Agents do not need humans - they need each other.
Multi-agent swarm coordination plugin for Claude Code
Git-worktree multi-agent swarm orchestrator for Codex, Claude, and Opencode
Self-learning vehicle routing optimization with multi-agent swarm coordination
OpenCode DAO Plugin - 4-layer governance with AI agent swarm deliberation
P2P swarm network for AI agents
Agent swarm orchestrator inspired by Moonshot AI's Kimi K2.5 model. Lightweight toolkit for coordinating autonomous agent swarms with 256K context window support.
QuDAG - Darknet for agent swarms: Ultra-fast quantum-resistant distributed communication platform with DAG architecture, rUv token exchange, .dark domains, onion routing, and ML-DSA/ML-KEM cryptography
Command-line interface for QuDAG - Manage nodes, peers, dark addresses, rUv token exchange, and business plan payouts
Swarm is a Ruby library that provides a simple interface for managing OpenAI chat completions with function calling support. It includes features like streaming responses, context management, and function execution.
Fork of RubyLLM with features to power Swarm, a multi-agent orchestration framework. One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
A Ruby implementation of the Swarm library for managing AI agent interactions
Allows for creating swarms of AI agents that can call functions and interact with each other
Equipment for orchestrating multiple agents in origin-centric networks with asymmetrical knowledge distribution.
ClaudeOnRails leverages claude-swarm to create an intelligent team of AI agents specialized in different aspects of Rails development. Simply describe what you want to build, and the swarm handles the rest.
Gondor Libraray provides a framework to work with agent based computing, from game AIs, to swarm simulations.
Swarm orchestration and charter system for brain-modeled agentic AI
GitHub-specific swarm pipeline (finder/fixer/validator) for brain-modeled agentic AI
Claude Swarm enables you to run multiple Claude Code instances that communicate with each other via MCP (Model Context Protocol). Create AI development teams where each instance has specialized roles, tools, and directory contexts. Define your swarm topology in simple YAML and let Claude instances collaborate across codebases. Perfect for complex projects requiring specialized AI agents for frontend, backend, testing, DevOps, or research tasks.
SwarmSDK is a complete reimagining of Claude Swarm that runs all AI agents in a single process using RubyLLM for LLM interactions. Define collaborative AI agents in simple Markdown files with YAML frontmatter, and orchestrate them without the overhead of multiple processes or MCP inter-process communication. Perfect for building lightweight, efficient AI agent teams with specialized roles and capabilities.
SwarmCLI provides a command-line interface for SwarmSDK, the lightweight multi-agent AI orchestration framework. Built with the TTY toolkit, it offers an intuitive and interactive way to define, manage, and execute AI agent swarms with progress indicators, formatted output, and comprehensive help documentation.
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