Connect RStudio to Claude Code, Codex, Gemini, and other LLM agents via MCP. Multi-agent orchestration, automated manuscript auditing, and zero-config setup with uvx

A production-ready, multi-agent OpenClaw setup with a hub-and-spoke architecture. One orchestrator agent delegates to specialized sub-agents for coding, research, and automation tasks.

Local Retrieval-Augmented Generation (RAG) plugin for Claude Code that combines Chroma db vector embeddings with intelligent info retrieval with Multi-Agent Framework (MAF) orchestration for context-aware development assistance. Uses Open Source / Free frameworks. Implements bridge to Claude Code CLI so no token use. And it's easy to setup.

Voice-powered AI assistant platform — connect any LLM, any TTS, with a live web canvas, music generation, and agent orchestration using openclaw. Install: npx openvoiceui setup

Design, train, and orchestrate AI voice agents in a single dashboard, then connect them to your preferred ASR, LLM, TTS, or real-time speech providers with just a few clicks. The guided workflows eliminate complex setup so teams of any size can go from idea to production-ready agent in record time.

Multi-agent orchestration framework for Python — turn any agent setup into a CLI or server.

spatial agent orchestration — deploy AI agents and apps across multi-monitor setups via named formations

A lightweight orchestration framework that piggybacks your local Agentic CLI setup. Intentionally simple. Yet powerful... like an army of Orcs 👹

aims to create an automated blog creation system using the Gemini Pro language model and various agents orchestrated by autogen The system includes a Telegram bot for user interaction, a multi-agent setup for blog creation, integration with Notion for storing drafts, and a notification system for approval and publishing.

Deploy AI agent teams as code. Ansible automation for multi-model AI agents with extensible integrations, task orchestration, and workspace setup

Motivated by Boeing 777 fully autonomous upright build project, orchestration of human and robotic agents are studied. Tasks must be precisely allocated, sequenced, and coordinated among agents subject to temporal and spatial constraints. The problem is formulated as a flexible job shop with sequence-dependent setup to capture heterogeneous agents and travel time. Two exact central approaches are proposed: a mixed integer programming and a constraint programming, and tested for real-time perspective. The computational study demonstrates the proposed method can generate optimal schedules up to 100 agents with 1000 subtasks that requires 10 subtasks per agent on average, within 183 seconds, a substantial improvement over all other benchmark approaches in the literature.

Give your AI agents a brain for planning. File-based task tracking with parallel orchestration — no setup required.

An alternate setup for the AI orchestration setup Gastown. This version enables different LLM models as agents. It also includes testing and fully automated image generation through one of those models.

Open-source AI agent orchestration platform. Manage multi-agent teams from a single dashboard. SQLite, zero config, 30-second setup.

A lightweight TypeScript implementation of Plandex with multi-agent AI orchestration. Features 5 specialized agents (Planner, Coder, Architect, Reviewer, Summarizer) working together via Ollama endpoints. Plug-and-play setup with local AI models.

My agent orchestrator setup - orchestrating parallel AI coding agents with Codex/Claude Code

Complete OpenCode setup package with Claude Code CLI configuration, MCP servers, plugins, agents, and system prompts for reproducible multi-agent orchestration environments

Demo project of how to setup Agent Orchestration

Unified multi-agent orchestration for Claude Code + Codex CLI. One setup, both tools, seamless handoff.

Learn how to build your very first multi-AI agent using the Google Agent Development Kit (ADK) — from setup to advanced agent orchestration.

Built an agentic orchestration system for co-optimizing AI compute and distributed energy in a DEG setup.

Eklesia is a library for orchestrating AI agent interactions in simulated environments across any backend or local setup.

A collection of 12 hands-on examples demonstrating Google's Agent Development Kit (ADK). Covers basic agents, tools, multi-agent orchestration, state management, and advanced patterns. Ready-to-run code with setup instructions.

CrewAI is an open-source framework for building autonomous AI agents. It orchestrates multiple agents to collaboratively complete tasks, leveraging tools and a shared goal. Each agent has a specific role, memory, and predefined tasks. This setup enables complex workflow automation.

Step-by-step local setup and integration guide for Galaxium Travels, watsonx Orchestrate Developer Edition, MCP, and IBM Bob to prepare and build an AI travel booking agent.

sample Semantic Kernel setup showing how to create a basic AI agent that integrates a skill, a tool, and memory, orchestrates them, and uses an LLM (like Azure OpenAI GPT). This will be in C#, which aligns well with your .NET experience.

Agent orchestration setups

My agent orchestration setup

A simple Test Repo for showcasing how to use the Orchestrator Pattern with streaming subagents who hand control back to the orchestrator after finishing

OpenCode Multi-Agent Setup (with Orchestrator & Docs)