Go 语言的终极 LLM/AI 应用开发框架。
langchaingo 开源项目推荐(26 个)
langchaingo 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 26 个仓库langgraph for Go
RightHand - A GPT4 powered assistive tool.
smol-dev-go, a Go implementation of smol developer
A Go adapter that bridges LangChain Go tools with Model Context Protocol (MCP) servers.
学习基于langchaingo结合ollama实现的rag应用流程
A Q&A RAG AI assistant and web crawler
AI RAG chat bot that know your domain.
A package for scraping websites for use in AI tools. Supports langchaingo and MCP
A lightweight GUI for your local Ollama LLMs
A Golang version of Langgraph Agentic Framework - not completed yet but working on...
该项目在 GitHub 上没有填写描述
LiteLLM for Go. Provider-agnostic LLM client over Anthropic, OpenAI, Gemini with router, fallback, cost tracking, capability flags, and composable middleware — built on tmc/langchaingo.
AI-powered CLI tool that transforms distributed system trace logs into human-readable explanations using local LLMs (Ollama/Gemini)
Useful when: 1) You want to build a ChatGPT-like assistant trained on your own documents 2) Multiple teams/organizations need isolated knowledge bases (each org only sees their own data) 3) You need fast semantic search over large document collections *Key : JWT-based multi-tenancy, async document ingestion, semantic search via pgvector HNSW index
AI logs analyzer. Stream logs from your services/applications running either locally, in a VPS or cloud.Flag the logs depending on log level with focus on ERROR,WARNING and CRITICAL, perform RCA on these logs to find the causes.Intelligently chat with you logs using the chat client
基于 LangChainGo v0.1.14 的智能体设计模式全景脚手架,严格对齐《智能体设计模式》四大部分,涵盖 15 种设计模式 + 5 种 LLM Provider + CLI 示例 + HTTP API 服务层。
Beginner-friendly LangChain tutorial with Python,Golang examples for building AI agents, chatbots, and LLM-powered apps.
A Go boilerplate for building Discord bots with discordgo. This template provides a batteries-included framework with an event bus, middleware system, reply builders, and hot-reloading configuration—so you can focus on building features instead of wiring up infrastructure.
A production-ready full-stack movie streaming system built with Go, React, MongoDB, and OpenAI APIs using LangChainGo, designed for scalability and clean architecture.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/langchaingo。
- 该话题在 GitHub 上共有 26 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.4 万 Star,覆盖 2 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。