Popular GitHub Repositories for Go Restful

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

?Vite+Vue3+Gin拥有AI辅助的基础开发平台，支持TS和JS混用。它集成了JWT鉴权、权限管理、动态路由、显隐可控组件、分页封装、多点登录拦截、资源权限、上传下载、代码生成器、表单生成器和可配置的导入导出等开发必备功能。

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

? 可 DIY 的 多模态 AI 聊天机器人 | ? 快速接入 微信、 QQ、Telegram、等聊天平台 | ?支持DeepSeek、Grok、Claude、Ollama、Gemini、OpenAI | 工作流系统、网页搜索、AI画图、人设调教、虚拟女仆、语音对话 |

IM Chat ChatGPT

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go

Gorse open source recommender system engine

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

LangChain for Go, the easiest way to write LLM-based programs in Go

The world’s first real-time, distributed, cloud-edge collaborative multimodal AI Agent Framework that simultaneously supports C/C++/Go/Python/JS/TS

Gorgonia is a library that helps facilitate machine learning in Go.

? 飞书 ×（GPT-4 + GPT-4V + DALL·E-3 + Whisper）= 飞一般的工作体验 ? 语音对话、角色扮演、多话题讨论、图片创作、表格分析、文档导出 ?

Vim和Neovim的免费、超高速Copilot替代方案

Free, ultrafast Copilot alternative for Vim and Neovim

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

AI 助手全套开源解决方案，自带运营管理后台，开箱即用。集成了 ChatGPT, Azure, ChatGLM,讯飞星火，文心一言等多个平台的大语言模型。支持 MJ AI 绘画，Stable Diffusion AI 绘画，微博热搜等插件工具。采用 Go + Vue3 + element-plus 实现。

一个用Go语言实现的模型上下文协议(MCP)，它能够实现LLM应用程序与外部数据源和工具的无缝集成。