MCP Orchestrator - Discover and install MCPs with automatic OAuth support. Uses Claude CLI for OAuth MCPs (Canva, Asana, etc). 34 trusted MCPs from Claude Partners.
MCP Orchestrator Bridge — connects AI agents to MCP Orchestrator Server via HTTP Streamable transport. Semantic tool discovery, dynamic execution, health check, auto-reconnect.
Local MCP orchestrator for managing Codex, Claude, and Cursor worker runs through a persistent daemon, with a daemon-owned orchestration_run engine for multi-step workflows.
Adapter-based MCP orchestrator for AI coding agent sessions (Agent of Empires, Claude Code transcripts).
MCP Orchestrator for task and project management with web interface
Conformance test suite for alternative @razroo/parallel-mcp orchestrator/store implementations
MCP Orchestrator — identity, focus, workflow routing, QCC tracking, response compression. Multi-project memory layer for Claude Code with Loki.js + MiniSearch.
MCP orchestrator for integrating multiple testing MCP servers
MCP orchestrator — connect unlimited Model Context Protocol servers through 8 meta-tools. Progressive tool discovery keeps your AI agent's context window small.
TTT (The Tortoise Trainer) — provider-driven local MCP orchestrator with optional bundled web UI for Adobe automation, Docker, and more backends (scaffolded integrations: Figma, OpenClaw, Hermes)
Lean MCP orchestrator for coordinating multiple coding agents
MCP Orchestrator for Cracked Jacked Claude - Enables infinite context workflow
Thin stdio MCP server that proxies Slack operations through the MCP Orchestrator API
BlueOrch Studio — Modular MCP Orchestrator with LLM chat, served as an npx command
MCP server for spawning parallel Copilot sub-agents with context passing
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
Lightweight MCP orchestrator with TOON compression (30-90% token savings) and lazy loading for efficient AI agent workflows
A powerful coding agent CLI with HTTP API for development environments
TypeScript definitions for orchestrator
Local implementation of agent-orchestrator MCP server
Cube.js Query Orchestrator and Cache
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.
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
Kernai is an AI agent kernel based on a universal XML block protocol, enabling simple, dynamic, observable and fully controlled orchestration without external runtime dependencies. Ships with reference provider adapters for Anthropic, OpenAI and Ollama, native multimodal support, a workflow DAG scheduler, pluggable recorder sinks and an optional MCP (Model Context Protocol) bridge.
RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; and a memory system with Redis backend and semantic caching. Optional gems add Rails integration (robot_lab-rails), durable learning (robot_lab-durable), Ractor concurrency (robot_lab-ractor), and document storage (robot_lab-document_store).
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