Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

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

DSH plugin: connect to MCP servers, discover tools, and register them for direct model invocation with retry logic and statistics

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.

A CLI tool for building Go applications.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

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

Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.

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

The official Rust SDK for the Model Context Protocol

Connect Cursor, Copilot & Claude AI directly to Cheat Engine via MCP. Automate reverse engineering, pointer scanning, and memory analysis using natural language.

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

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

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

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

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

Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Elegantly manage your MCP services

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.

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.