Paperclip-inspired AI orchestrator framework for Claude Code. Autonomous task management, quality scoring, budget tracking, and multi-agent coordination.
Important: this is an internal API. Expect breaking changes.
LangGraph
🎉 **v4.0 is here — the orchestrator is now stable and ready for production use!**
A module for sequencing and executing tasks and dependencies in maximum concurrency
Medusa Workflow Orchestrator module using Redis to track workflows executions
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Medusa Workflow Orchestrator module
Telos-driven Multi-Agent Development Framework - A philosophically-grounded AI collective for purpose-aligned software development
An AI web browsing framework focused on simplicity and extensibility.
Downloads the replay-orchestrator bundle script and executes it
Headless workflow execution CLI for Generacy - run workflows in containers without VS Code
ArcGIS AI Orchestrator Package
TypeScript definitions for orchestrator
A collection of essential TypeScript types
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
A tiny (118 bytes), secure URL-friendly unique string ID generator
Knowledge Service for ObjectStack — orchestrator implementing IKnowledgeService over pluggable IKnowledgeAdapter backends (RAGFlow, LlamaIndex, Dify, in-memory).
Grackle server orchestrator — spawns and wires core (gRPC), web-server (HTTP), MCP, and PowerLine
Type-safe TypeScript AI SDK for streaming chat, tool calling, agents, structured outputs, and multimodal generation.
Multi-agent YAML workflow engine — 211 AI roles, auto DAG parallelism, zero code. One sentence → multiple AI roles collaborate → complete plan in minutes. 10 LLM providers, 7 need no API key.
SDLC-specific orchestration for the [Substrate](https://github.com/johnplanow/substrate) platform. This package contains the phase-aware handlers, graph orchestrator, DOT pipeline topology, verification pipeline, learning loop, and unified run manifest th
Cube.js Query Orchestrator and Cache
AI agent orchestration framework for TypeScript/Node.js - 29 adapters (LangChain, AutoGen, CrewAI, OpenAI Assistants, LlamaIndex, Semantic Kernel, Haystack, DSPy, Agno, MCP, OpenClaw, A2A, Codex, MiniMax, NemoClaw, APS, Copilot, LangGraph, Anthropic Compu
Modern service orchestration framework designed for the AI era. Enables rapid development of both traditional and AI-powered applications through composable, testable operations. Features agent-oriented architecture, AI-friendly patterns, and robust service composition.
Rach is a lightweight framework for orchestrating AI agents
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.
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.
Devex provides a unified `dx` command for common development tasks. Features include: - CLI framework with automatic help generation and nested subcommands - Agent-aware output (detects AI agents and adapts output format) - Environment orchestration (mise, bundle exec, dotenv integration) - Project path conventions with fail-fast feedback - Zero-dependency support library (Path class, ANSI colors, core extensions)
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.
Rubagent is a lightweight Ruby framework for building modular, composable AI agents that can interact with LLMs (like OpenAI), tools, and external APIs. It provides a flexible architecture for defining agents, managing prompts, and orchestrating multi-step workflows using functional patterns. Features: - Streamed LLM responses (OpenAI, etc.) - Plug-and-play agent design - Shared context and memory flow - Support for custom tools and HTTP integrations - Built-in dry-rb and Zeitwerk compatibility
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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