MCP-first, platform-agnostic multi-agent orchestrator control plane
Claude Code skill for orchestrating complex engineering work with atomic task decomposition, verification gates, and cost-aware model routing
A module for sequencing and executing tasks and dependencies in maximum concurrency
Medusa Workflow Orchestrator module using Redis to track workflows executions
Medusa Workflow Orchestrator module
Downloads the replay-orchestrator bundle script and executes it
Cloud and zero-trust agentic workflow marketplace for skills, agents, rules, MCP references, and compliance-aware architecture.
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
TypeScript definitions for orchestrator
Server & Client SDK for Agent2Agent protocol
Cube.js Query Orchestrator and Cache
Agentic AI utils which work with any LLM and TypeScript AI SDK.
Agentic adapter for the Vercel AI SDK.
Small agentic loop
A drop-in coding-agent harness built on earendil-works/pi, designed to replace opencode in workflow-driven systems like lastlight.
PREDATOR – Praxic Reinforcement and Extinction-Driven Agentic Task Orchestrator and Realizer. A Deep Agentic AI system built on the Artificial Junky Neuron (AJN) framework by Justo Tapiador García (UA). Enhanced v2.0 with real transformers, persistent mem
Agentic SDK for People Data Labs.
🎉 **v4.0 is here — the orchestrator is now stable and ready for production use!**
Cloudflare Worker + Durable Object adapter for @voyantjs/workflows-orchestrator. Dispatches workflow-step requests to tenant Workers via a Workers-for-Platforms dispatch namespace.
Dual-protocol payment infrastructure for autonomous AI commerce (AP2 + ACP)
Agentic SDK for the SearXNG meta search engine.
Local implementation of agent-orchestrator MCP server
Lightdash CLI tool
Reference orchestrator core for Voyant Workflows — drives runs through the tenant step handler over the v1 wire protocol.
Container orchestration agent.
Ruby API for Archipel Agent, an XMPP-based orchestrator. See http://archipelproject.org/.
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.
Rach is a lightweight framework for orchestrating AI agents
Easily build, manage, deploy, and run self-contained purpose-driven AI Agents.
A production-grade control plane for routing tasks to Claude, Codex, and Cursor with local planning.
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.
Rixie is a standalone Ruby gem for orchestrating AI agents. It provides a clean abstraction for LLM communication, tool execution, and multi-step reasoning strategies.
Kulu is a powerful orchestration tool for managing LLM agents and their data, inspired by the functionality of CrewAI models. It simplifies the process of integrating and coordinating multiple language models to solve complex problems efficiently.
Ruby AI Agents SDK enables creating complex AI workflows with multi-agent orchestration, tool execution, safety guardrails, and provider-agnostic LLM integration.
EnhanceSwarm transforms Claude into a sophisticated development team with specialized agents for Backend, Frontend, QA, and Integration. Features detached orchestration, Bullet Train deep integration, automatic worktree merging, and comprehensive logging. Built for production Rails and Bullet Train applications.
RailsOrchestrator provides a structured framework for building AI agents in Ruby on Rails applications. It includes tool support, memory management, and orchestration capabilities for composing complex agent workflows.