Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

The official Rust SDK for the Model Context Protocol

⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

小智ESP32的Java企业级管理平台，提供设备监控、音色定制、角色切换和对话记录管理的前后端及服务端一体化解决方案

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

MCP Playbooks for AI agents

The official PHP SDK for Model Context Protocol servers and clients. Maintained in collaboration with The PHP Foundation.

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

A CLI tool for building Go applications.

The official Ruby SDK for the Model Context Protocol servers and clients.

Connect your favorite AI agents directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural language.

A local AI agent harness in Go that runs 24/7 with auto-built tools, MCP, and Ollama

An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP server.

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

A local AI agent harness in Go that runs 24/7 with auto-built tools, MCP, and Ollama

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.

lunar.dev: Agent native MCP Gateway for governance and security

An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins.

Azan + Prayer Time + MCP + AI Agents + Islamic + Salah + A lightweight MCP library to calculate prayer times and trigger Azan with a single tool call. If you’re building an AI agent or prayer application, there’s no need to deal with astronomical calculations, timezones, or edge cases again.