GitHub's official MCP Server enabling AI assistants to interact directly with GitHub repositories, issues, PRs, and actions, supporting both remote and local Docker deployments.

AI AgentsModel Context ProtocolDocker

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Open-source, secure, and elastic infrastructure for running AI-generated code, offering sub-90ms sandbox provisioning, LSP support, and persistent environments.

SDKAI AgentsTypeScript

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An official open-source AI agent runtime and builder by Docker. Written in Go, it supports zero-code agent creation via declarative YAML, featuring multi-agent orchestration, MCP tool integration, RAG capabilities, and OCI image distribution.

RAGModel Context ProtocolMulti-Agent System

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A lightweight evaluation harness for coding agents featuring Docker isolation and weighted scoring, supporting 6 programming languages and 19 major coding agents.

Model & Inference Framework大语言模型AI Agents

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A persistent, containerized multi-member AI agent system where each bot runs in an isolated containerd container with structured long-term memory, supporting Telegram, Discord, Lark platforms and MCP protocol extensions.

Model Context ProtocolMulti-Agent SystemAI Agents

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An all-in-one AI agent development platform with visual tools that simplify the creation, debugging, and deployment of AI agents, allowing developers to focus on creating core AI value.

AI Agents大语言模型SDK

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A modern AI gateway system that provides a unified OpenAI, Anthropic, Gemini and AI SDK compatible API, enabling seamless integration across multiple AI providers with automatic request translation and comprehensive tracing capabilities.

Agent & ToolingGoLiteLLM

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NGINX Agent is a companion daemon for NGINX Plus and NGINX Open Source that enables advanced observability and configuration management capabilities

OtherGoDocker

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A fully autonomous AI agent capable of performing complicated tasks and projects using terminal, browser, and editor features, with Docker sandbox security and a modern UI interface.

Agent & ToolingDockerGo

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An LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using the RAG (Retrieval-Augmented Generation) paradigm.

Agent & ToolingDockerGo

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