React library for powering assessments
Medusa Workflow Orchestrator module using Redis to track workflows executions
A module for sequencing and executing tasks and dependencies in maximum concurrency
Medusa Workflow Orchestrator module
Downloads the replay-orchestrator bundle script and executes it
TypeScript definitions for orchestrator
🎉 **v4.0 is here — the orchestrator is now stable and ready for production use!**
Cube.js Query Orchestrator and Cache
Claw Orchestrator — run Claude Code, Codex, Gemini, Cursor Agent, OpenCode and custom coding CLIs as one unified runtime. Drop into Hermes Agent, Claude Desktop, Cursor, Cline, Continue, Zed, Windsurf, Goose or any Model Context Protocol (MCP) host, insta
ArcGIS AI Orchestrator Package
Cloudflare Worker + Durable Object adapter for @voyantjs/workflows-orchestrator. Dispatches workflow-step requests to tenant Workers via a Workers-for-Platforms dispatch namespace.
Grackle server orchestrator — spawns and wires core (gRPC), web-server (HTTP), MCP, and PowerLine
A powerful coding agent CLI with HTTP API for development environments
Reference orchestrator core for Voyant Workflows — drives runs through the tenant step handler over the v1 wire protocol.
Orchestrator Daemon for agent orchestration and session management
<p align="center"> <a href="https://www.kestra.io"> <img width="460" src="https://kestra.io/logo.svg" alt="Kestra workflow orchestrator" /> </a> </p>
AI orchestrator daemon with squad-based team delegation
Put the world's smartest AI agents in your pocket. Command local Claude & Gemini via IM. | 让最好用的 IM 变成你电脑上的顶级 Agent 控制台
Reference Node container image for executing `runtime: "node"` steps. Deployed alongside the orchestrator as a Cloudflare Container.
Playwright orchestrator PostgreSQL plugin
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Array manipulation, ordering, searching, summarizing, etc.
Web Streams, based on the WHATWG spec reference implementation
Headless workflow execution CLI for Generacy - run workflows in containers without VS Code
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
WorkMesh is an open-source micro-services orchestration system for automatng software scaling and work distribution. Some hints: - In the **WorkMesh** world, a **micro-service** is an **external web-service** who receives tasks for any kind of offline processing, and returns the result to **master**. Just that. Nothing more. - This library is for defininng the micro-service protocol at the **master** side. - For creating your own micro-service, refer to [micro.template](https://github.com/leandrosardi/micro.template) project. - If you are looking for a multi-threading processing framework, you should refer to [Pampa](https://github.com/leandrosardi/pampa) instead. Find documentation here: https://github.com/leandrosardi/workmesh
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
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