A multi-model AI agent desktop client — connect any AI provider, extend with MCP & skills, control from your phone. Built with Electron + Next.js.

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

ChatGPT CLI is a powerful, multi-provider command-line interface for working with modern LLMs. It supports OpenAI, Azure, Perplexity, LLaMA, and more, with features like streaming, interactive chat, prompt files, image/audio I/O, MCP tool calls, and an experimental agent mode for safe, multi-step automation.

AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.

LightAgent: Lightweight AI agent framework with memory, tools & tree-of-thought. Supports multi-agent collaboration, self-learning, and major LLMs (OpenAI/DeepSeek/Qwen). Open-source with MCP/SSE protocol integration.

A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.

A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.

Build Your Agent Team for Real-World AI Development - Workspace-first multi-agent coordination platform for AI development, with shared Specs, Kanban orchestration, and MCP/ACP/ A2A support across web and desktop.

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Built with MARM protocol for structured reasoning that evolves with your work.

A MCP Server for a small scale engineering agents with multi-provider LLM support.

LYRAI is a Model Context Protocol (MCP) operating system for multi-AI AGENTs designed to extend the functionality of AI applications by enabling them to interact with financial networks and blockchain public chains. The server offers a range of advanced AI assistants, including blockchain public chain operations (SOLANA,ETH,BSC,etc.)

Chat application with multi-agents system supports multi-models and MCP

A light touch MCP task orchestration server for AI agents. Persistent work tracking and context storage across sessions and agents. Defines planning floors through composable notes with optional gating transitions. Coordinates multi-agent execution without prescribing how agents do their work.

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

AI-powered CLI coding agent with 20+ built-in tools, MCP support, and multi-model providers

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.

🧩 Build AI-powered MCP Tools with Azure Functions, Durable Agents & Cosmos vector search. Features orchestrated multi-agent workflows using OpenAI.

MCP server for free Google AI Mode search with citations. Query optimization, CAPTCHA handling, multi-agent support. Works with Claude Code, Cursor, Cline, Windsurf.

The Vibe Coding++™ platform - orchestrate multiple AI agents, experiment with isolated attempts, ship code you understand. Multi-agent kanban with MCP integration.

Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A

Multi-agent AI platform with voice and text control. Visual workflows, web interface, and chat integrations (Telegram, Discord, Slack). Long-term memory, any LLM backend, extensible via MCP tools.

Soul: The Persistent Memory Layer for Multi-Agent Systems. High-performance session orchestration with SQLite-based KV-Cache for MCP. Give your AI agents a soul that never forgets.

ClawSync, OpenClaw for the cloud. Deploy an open source personal AI agent with chat UI, skills system, MCP support, and multi-model routing. Built on Convex.

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

A self-hosted AI workspace unifying chat, code execution, parallel multi-agent orchestration, and project management. Each agent runs on a distinct provider — OpenAI-compatible APIs, Claude Code, or Codex CLI. MCP servers extend the toolbox. Built for 100+ tool-call sessions with context compression and checkpoint recovery.

Workflow orchestration CLI with MCP endpoint support and multi-agent dashboard

Build AI-powered predictive maintenance orchestration with Microsoft Foundry, multi-agent workflows, and MCP

Implementation of the CodeAct agentic framework with Docker containers for security, MCP servers for tool integrations, and multi-agent support.