「长文」可能是目前最全的LangChain AI资源库之一

前言

本文主要内容是一个LangChain资源库，里面罗列了大大小小很多个基于LangChain框架的优秀项目，包括低代码、服务、代理、模板等工具类，还有像知识管理、聊天机器人等开源项目，还包括像视频、文章等AI学习资源，建议大家点赞收藏。

本文是对之前整理过的一版LangChain资源库的更新版本，原整理的地址为：基于LangChain的优秀项目资源库

🦜🔗 酷炫的LangChain资源 [1][2]

被筛选的使用LangChain的工具和项目清单。

LangChain是一个非常棒的框架，可以在瞬间完成LLM项目，当下生态系统正在迅速发展。这里是一个试图跟踪LangChain优秀项目资源的库。

订阅电子报[3] 了解有关 Awesome LangChain 的最新动态。我们每月发送几封电子邮件，介绍我们关注的文章、视频、项目和工具。

欢迎贡献。通过拉取请求添加链接或创建问题开始讨论。在贡献之前，请阅读贡献指南[4]。

[5]目录表

•🦜🔗 LangChain 神奇资源[6]•目录[7]•LangChain 框架[8]•工具[9]•低代码[10]•服务[11]•代理[12]•模板[13]•开源项目[14]•知识管理[15]•其他 / 聊天机器人[16]•学习[17]•笔记本[18]•视频[19]•文章[20]•替代方案[21]•此列表的补充[22]

LangChain框架

LangChain框架[23]

•LangChain[24]: 最初的 🐍•LangChain.js[25]: JS兄弟 ✨•Concepts[26]: Langchain概念文档•Twitter账号[27]: 关注以获取最新更新•Youtube频道[28]•Discord[29]: 讨论•Langchain博客[30]: 官方Langchain博客•LangChainHub[31]: 收集与LangChain原语（如prompts、chains和agents）一起使用的所有工件

[32]其他语言的端口

LangChain的非官方其他语言框架列表。

•Langchain Go[33]: Golang Langchain [34]•LangchainRb[35]: Ruby Langchain [36]•BoxCars[37]: Ruby gem，使用LLM进行组合构建应用程序。受LangChain启发。 [38]•LangTorch[39]: 使用Java / JVM构建可组合的LLM应用程序。受LangChain启发。 [40]•LangChain4j[41]: 用于Java的LangChain [42]•LangChainJSDotNet[43]: 在.NET中使用官方的LangChain.js库 [44]

工具[45]

低代码[46]

•Flowise[47]：使用LangchainJS可以拖放界面构建自定义LLM流程的UI [48]•Langflow[49]：LangFlow是LangChain的UI [50]•LangchainUI[51]：开源聊天AI工具包 [52]•Yeager.ai[53]：Yeager.ai Agent是第一个设计用于帮助您轻松构建、原型和部署AI驱动的代理的Langchain Agent创建工具 [54]"

服务[55]

•GPTCache[56]: 用于为LLM查询创建语义缓存的库 [57]•Gorilla[58]: LLM的API仓库 [59]•LlamaHub[60]: 由社区创建的LLM数据加载程序库 [](https://camo.githubusercontent.com/a69d2a5e9cfae3676a6d3a0f9a1e4c850c0d3e7654dddf343c6e86280db279c0/687

代理商

•CollosalAI Chat[61]: 使用RLHF实现带动Colossal-AI项目的LLM [62]•AgentGPT[63]: 使用Langchain和OpenAI（Vercel / Nextjs）的AI agent [64]•Local GPT[65]: 基于私人GPT，使用Vicuna-7B模型替换GPT4ALL模型，并使用InstructorEmbeddings而不是LlamaEmbeddings的灵感 [66]•ThinkGPT[67]: 使用代理技术增强您的LLM并将其推向极限 [68]•Camel-AutoGPT[69]: 用于LLM和AutoGPT等自动代理的角色扮演方法 [70]•Private GPT[71]: 使用GPT的强大功能，100%私密地与您的文档互动，无数据泄漏 [72]•RasaGPT[73]: RasaGPT是基于Rasa和Langchain构建的第一个无头LLM聊天机器人平台 [74]•SkyAGI[75]：LLM代理人中新兴的人类行为模拟功能。•PyCodeAGI[76]：一个小型的AGI实验，可以根据用户想要构建的应用程序生成一个Python应用程序。•BabyAGI UI[77]：使在Web应用程序中运行和开发babyagi更加容易，就像一个ChatGPT一样。•SuperAgent[78]: 将LLM Agents部署到生产环境 [79]•Voyager[80]: 具有大型语言模型的开放式体现智能体 [81]•ix[82]: 自主GPT-4智能体平台 [83]•DuetGPT[84]：一款对话式半自主开发助手，AI的代码配对编程，无需复制粘贴。•Multi-Modal LangChain agents in Production[85]：部署LangChain代理并将其连接到Telegram。•DemoGPT[86]：DemoGPT通过仅使用提示即可创建快速演示。它将ToT方法应用于Langchain文档树。•SuperAGI[87]: SuperAGI - 一个以开发者为中心的开源自主人工智能代理框架•Autonomous HR Chatbot[88]: 一个自主代理，可以使用手头的工具自主回答人力资源相关的查询•BlockAGI[89]: BlockAGI进行迭代的、领域特定的研究，并输出详细的叙述性报告来展示其发现

模板[90]

•AI[91]: Vercel模板，用于使用React、Svelte和Vue构建基于人工智能的应用，对LangChain提供一流支持[92]•create-t3-turbo-ai[93]: 基于t3的、友好于Langchain的样板，用于构建类型安全、全栈、以LLM为动力的网络应用，使用Nextjs和Prisma[94]•LangChain.js LLM模板[95]: LangChain LLM模板，允许您训练自己的定制AI LLM模型。[96]•Streamlit模板[97]: 用于如何在Streamlit上部署LangChain的模板[98]•Codespaces模板[99]: 一种用于在几秒钟内快速开始使用LangChain的Codespaces模板！[100]•Gradio模板[101]: 用于如何在Gradio上部署LangChain的模板[102]•AI入门[103]: 用于周末项目的Javascript AI入门堆栈，包括图像/文本模型、向量存储、身份验证和部署配置[104]•Embedchain[105]: 用于轻松创建LLM动力的机器人的框架，适用于任何数据集。[106]

平台

•Modal[107]：用于云端/ML计算的端到端堆栈•Metal[108]：Metal是一个托管服务，可以让您构建AI产品而无需繁琐地管理基础设施•Graphsignal[109]：用于AI代理和LLM驱动应用程序的可观察性。在生产中追踪、监视和调试LangChain。•Mona[110]：用于监控您的OpenAI使用情况

开源项目

知识管理[111]

•Quiver[112]: 将你的大脑转储到你的GenerativeAI Vault中•DocsGPT[113]: 用于文档搜索和辅助的GPT驱动聊天•Chaindesk[114]: 语义搜索和文档检索的无代码平台•Knowledge GPT[115]: 为您的文档提供准确答案和即时引用•Knowledge[116]: Knowledge是一个保存、搜索、访问和探索您所有喜欢的网站、文档和文件的工具•Anything LLM[117]: 一个全栈应用，可以将任何文档转化为智能聊天机器人，具有时尚的用户界面，更易于管理您的工作空间•DocNavigator[118]: 基于AI的聊天机器人构建工具，旨在改善产品文档/支持网站的用户体验•ChatFiles[119]: 上传您的文档，然后与之聊天。由GPT / Embedding / TS / NextJS提供支持•DataChad[120]: 一个让您可以与任何数据源聊天的streamlit应用程序。支持使用GPT4All的OpenAI和本地模式•Second Brain AI Agent[121]: 一个streamlit应用程序，可以使用OpenAI和ChromaDB在本地自动对话您的第二大脑笔记

其他 / 聊天机器人

•DB GPT[122]：通过本地GPT与数据和环境进行交互，无数据泄露，100％私密、100％安全。[123]•AudioGPT[124]：理解和生成语音、音乐、声音和说话头像。[125]•Paper QA[126]: 用于从带引用的文档中回答问题的LLM链 [127]•Chat Langchain[128]: 专注于LangChain文档的问题回答的本地托管聊天机器人 [129]•Langchain Chat[130]: LangChain Chat 的另一个 Next.js 前端。 [131]•Book GPT[132]: 放下一本书，开始提问。 [133]•Chat LangchainJS[134]: Chat Langchain的NextJS版本•Doc Search[135]: 使用GPT-3构建的与书籍对话•Fact Checker[136]: 使用langchain对LLM输出进行事实核查•MM ReAct[137]: 多模态 ReAct 设计•QABot[138]: 使用自然语言查询通过 langchain 和 openai 查询本地或远程文件或数据库•GPT Automator[139]: 你的语音控制的 Mac 助手•Teams LangchainJS（团队LangchainJS）[140]：演示LangChainJS与Teams / Bot Framework机器人。•ChatGPT（聊天GPT）[141]：用于node.js和Docker的ChatGPT和Langchain示例。•FlowGPT（流程GPT）[142]：使用人工智能生成图表。•langchain-text-summarizer[143]: 使用LangChain进行文本摘要的示例streamlit应用程序 [144]•Langchain Chat Websocket[145]: 有关LangChain LLM聊天的websocket流式响应 [146]•langchain_yt_tools[147]: Langchain工具，用于搜索/提取/转录YouTube视频的文本记录 [148]•智慧飞行员[149]: 一款使用OpenAI的语言模型生成、分析和选择给定问题的最佳答案的Python程序。•Howdol[150]: 一个有用的聊天机器人，可以回答问题。•MrsStax[151]: QA Slack机器人。•ThoughtSource⚡[152]：一个用于机器思维科学的框架•ChatGPT Langchain[153]：使用Huggingface上的langchain的ChatGPT克隆•Chat Math Techniques[154]：使用Huggingface上的math techniques的langchain chat•Notion QA[155]: Notion问答机器人 [156]•QNimGPT[157]: 在IBM量子计算机模拟器或OpenAI GPT-3.5上玩Nim游戏•ChatPDF[158]: ChatGPT + 企业数据与Azure OpenAI [159]"•Chat with Scanned Documents[160]: 与使用Dynamic Web TWAIN扫描的文档进行聊天的演示。•snowChat ❄️[161]: 与您的snowflake数据库进行聊天的工具。•Airtable-QnA[162]: 🌟 用于Airtable内容的问答工具。WingmanAI[163]：与系统和麦克风音频的实时转录进行交互的工具。•TutorGPT[164]：用于辅导任务的动态少样本元提示。•Cheshire Cat[165]：具有可直接使用的聊天集成和插件开发平台的定制AGI机器人。•Got Chaat Bot[166]: 用于创建Game of Thrones聊天机器人的存储库（例如与Tyrion Lannister交谈） [167]•Dialoqbase[168]: 允许您创建具有自己知识库的自定义聊天机器人的Web应用程序 [169]•CSV-AI 🧠[170]: CSV-AI是由LangChain提供支持的终极应用程序，可帮助您揭示CSV文件中隐藏的见解。•MindGeniusAI[171]：使用ChatGPT自动生成思维导图•Robby-Chatbot[172]：用于与CSV、PDF、TXT文件和YTB视频交互的AI聊天机器人，使用Langchain、OpenAI和Streamlit•AI Chatbot[173]：由Vercel Labs构建的功能齐全、可定制的Next.js AI聊天机器人•Instrukt[174]: 一个在终端中的全功能AI环境。构建、测试和指导代理。 [175]•OpenChat[176]: LLMs定制聊天机器人控制台 ⚡. [177] [178]•Twitter Agent[179]: 爬取推文，并在交互式终端中对其进行摘要和对话。 [180]"•GPT Migrate[181]: 轻松将您的代码库从一个框架或语言迁移到另一个框架或语言。•Code Interpreter API[182]: 关于ChatGPT Code Interpreter的开源实现。 [183]

[184]学习

[185]笔记本

•Langchain教程[186]: LangChain库的概述和教程•LangChain中文入门指南[187]: 面向初学者的LangChain中文教程•Flan5 LLM[188]: 使用LangChain进行思路链和多任务指令的PDF问答，Flan5在HuggingFace上•LangChain 手册[189]：Pinecone / James Briggs 的 LangChain 手册•查询 YouTube 视频剪辑文本[190]：查询 YouTube 视频剪辑文本，将时间戳作为信息源以证明答案的合法性•llm-lobbyist[191]：利用大型语言模型作为企业游说者•Langchain语义搜索[192]: 使用GPT3、LangChain和Python搜索和索引自己的Google Drive文件•GPT政治罗盘[193]•llm-grovers-search-party[194]: 利用Qiskit、OpenAI和LangChain展示Grover算法•TextWorld ReAct Agent[195]•LangChain <> Wolfram Alpha[196]•BYO Knowledge Graph[197]

视频播放列表

•Sam Witteveen的LangChain系列[198]•LangChain教程播放列表[199]•LangChain James Briggs的播放列表[200]•Greg Kamradt的播放列表[201]

其他LLM框架[202]

•Transformers Agents[203]：在transformers之上提供自然语言API•LlamaIndex[204]：提供将LLM（语言模型）与外部数据连接的中心接口•Botpress[205]：构建聊天机器人的基本模块•Haystack[206]: 使用Transformer模型和LLM与数据进行交互的NLP框架 [207]•Semantic Kernel[208]: Microsoft C# SDK，可快速轻松地将尖端LLM技术集成到应用程序中 [209]•Promptify[210]: 提示工程 | 使用GPT或其他基于提示的模型获取结构化输出。 [211]•PromptSource[212]: 关于创建、共享和使用自然语言提示的工具包。 [213]•Agent-LLM[214]: 一个人工智能自动化平台。 [215]•LLM Agents[216]: 构建由LLM控制的代理。 [217]•MiniChain[218]: 一个用于使用大型语言模型编码的小型库。 [219]•Griptape[220]: 用于AI工作流和管道的Python框架，具有思维链推理、外部工具和记忆功能。•llm-chain[221]: 是一个强大的用于构建LLM链的Rust库，允许您对文本进行摘要和完成复杂任务。•PromptFlow[222]: 创建可执行的流程图，将LLMs（大型语言模型）、提示、Python函数和条件逻辑链接在一起。•OpenLM[223]: 一个可随时使用的与OpenAI兼容的库，可以从任何其他托管推理API中调用LLMs。还有Typescript[224]•Dust[225]: 设计和部署大型语言模型应用•e2b[226]: 用于构建和部署虚拟开发者代理的开源平台•SuperAGI[227]: 一个开发者优先的开源自主AI代理框架.•SmartGPT[228]：一个提供LLMs能够使用插件完成复杂任务的程序。•TermGPT[229]：使得类似于GPT-4的LLMs能够规划和执行终端命令的能力。•ReLLM[230]：用于语言模型完成的正则表达式。•OpenDAN[231]: 开源个人人工智能操作系统，将各种人工智能模块整合在一个地方供个人使用。 [232]•OpenLLM[233]: 一个开放的平台，用于在生产中操作大型语言模型（LLM）。使用OpenLLM轻松进行微调，提供服务，部署和监控任何LLM。 [234]•FlagAI[235]: FlagAI（Fast LArge-scale General AI models）是一个快速、易于使用和可扩展的大型模型工具包。 [236]•AI.JSX[237]: JavaScript的AI应用框架 [238]•Outlines[239]: 生成模型编程 (Python) [240]•AI Utils[241]: 用于构建AI应用程序、聊天机器人和代理的TypeScript优先库。 [242]•MetaGPT[243]：多代理元编程框架：给定一行需求，返回 PRD、设计、任务、仓库和 CI。•Hyv[244]：可能是在 Node.js 中使用任何 AI 模型并轻松创建复杂交互的最简单方法。•Autochain[245]：使用 AutoChain 构建轻量、可扩展和可测试的 LLM 代理。•TypeChat[246]: TypeChat是一个使用类型构建自然语言界面的库。•Marvin[247]: ✨构建能带来快乐的AI界面。•LMQL[248]: 一个用于大型语言模型的编程语言。•LLMFlow[249]：简单、清晰和透明的LLM应用•Ax[250]：TypeScript的综合AI框架

[251]这个列表的补充

•开源LLM清单[252]: 一份可供商业使用的开源LLM清单•Awesome LLM[253]: Awesome-LLM: 一个精心策划的大型语言模型资源清单•LLaMA Cult and More[254]: 跟踪经济实惠的LLM、🦙 Cult和其他内容的清单

References

[1] : https://awesome.re/ [2] : https://camo.githubusercontent.com/a9aec4b2077141823ec3d751c28014be2f514acd8ead8a510a86bde0cfc8c9bf/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6b79726f6c6162732f617765736f6d652d6c616e67636861696e3f7374796c653d736f6369616c [3] 订阅电子报: https://awesomelangchain.substack.com/ [4] 贡献指南: https://github.com/kyrolabs/awesome-langchain/blob/main/contributing.md [5] : https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#table-of-contents [6] 🦜🔗 LangChain 神奇资源: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#-awesome-langchain-- [7] 目录: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#table-of-contents [8] LangChain 框架: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#langchain-framework [9] 工具: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#tools [10] 低代码: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#low-code [11] 服务: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#services [12] 代理: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#agents [13] 模板: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#templates [14] 开源项目: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#open-source-projects [15] 知识管理: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#knowledge-management

[16] 其他 / 聊天机器人: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#other--chatbots [17] 学习: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#learn [18] 笔记本: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#notebooks [19] 视频: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#videos [20] 文章: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#articles [21] 替代方案: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#alternatives [22] 此列表的补充: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#complement-to-this-list [23] LangChain框架: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#langchain-framework [24] LangChain: https://github.com/hwchase17/langchain [25] LangChain.js: https://github.com/hwchase17/langchainjs [26] Concepts: https://docs.langchain.com/docs/ [27] Twitter账号: https://twitter.com/LangChainAI [28] Youtube频道: https://www.youtube.com/channel/UCC-lyoTfSrcJzA1ab3APAgw [29] Discord: https://discord.gg/6adMQxSpJS [30] Langchain博客: https://blog.langchain.dev/ [31] LangChainHub: https://github.com/hwchase17/langchain-hub [32] : https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#ports-to-other-languages [33] Langchain Go: https://github.com/tmc/langchaingo [34] : https://camo.githubusercontent.com/7725f4f6e2147276d02cc4f64d8100981661adbe6386341703f98efaa4f30cef/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f746d632f6c616e67636861696e676f3f7374796c653d736f6369616c [35] LangchainRb: https://github.com/andreibondarev/langchainrb [36] : https://camo.githubusercontent.com/55c4a1afcfa5004b5db84b27598c8e48328b55aa5695dadac63fae8e4948fd89/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f616e64726569626f6e64617265762f6c616e67636861696e72623f7374796c653d736f6369616c [37] BoxCars: https://github.com/BoxcarsAI/boxcars [38] : https://camo.githubusercontent.com/e26e61c79121588cd06e0d6a66aa69f22fcd222bbe6eca0951d8e4ab6267c7b2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f426f786361727341492f626f78636172733f7374796c653d736f6369616c [39] LangTorch: https://github.com/Knowly-ai/langtorch [40] : https://camo.githubusercontent.com/11cfd1693f5867155bc206215563505310f50c4e065f6d5fc69b0569a1a41141/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f4b6e6f776c792d61692f6c616e67746f7263683f7374796c653d736f6369616c [41] LangChain4j: https://github.com/langchain4j/langchain4j [42] : https://camo.githubusercontent.com/9e3b83d09e49cae5a0e9632182a4fb43fad0259bd740e1ffa0a382c7c19f8a35/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6c616e67636861696e346a2f6c616e67636861696e346a3f7374796c653d736f6369616c [43] LangChainJSDotNet: https://github.com/iassafc/LangChainJSDotNet [44] : https://camo.githubusercontent.com/8a14ce73738f609e833326e0a82736be1ba761ef03f602c669201b6cdbd58411/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f696173736166632f4c616e67436861696e4a53446f744e65743f7374796c653d736f6369616c [45] 工具: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#tools [46] 低代码: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#low-code [47] Flowise: https://github.com/FlowiseAI/Flowise [48] : https://camo.githubusercontent.com/1ba1ab2cc7be5ca0a17eadbc4cff268741a7d0c606a6d33ac90077b54c903ea9/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f466c6f7769736541492f466c6f776973653f7374796c653d736f6369616c [49] Langflow: https://github.com/logspace-ai/langflow [50] : https://camo.githubusercontent.com/196fc1df5f5e5d6b1c0d147c121168693afe44bbadc87cc3f443efd46b1ec74f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6c6f6773706163652d61692f6c616e67666c6f773f7374796c653d736f6369616c [51] LangchainUI: https://github.com/homanp/langchain-ui [52] : https://camo.githubusercontent.com/e9852774df90de16175df3eddcb12ad2974b95d3dd89cf53a7415850f25d528e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f686f6d616e702f6c616e67636861696e2d75693f7374796c653d736f6369616c [53] Yeager.ai: https://github.com/yeagerai/yeagerai-agent [54] : https://camo.githubusercontent.com/08865c0e9b8bbf60e9bd2e40316cdb5444d53908047d4a0a40b92b839dad0635/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f79656167657261692f79656167657261692d6167656e743f7374796c653d736f6369616c [55] 服务: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#services [56] GPTCache: https://github.com/zilliztech/GPTCache [57] : https://camo.githubusercontent.com/00b53511e42ff679259ffae7a508ddc2ccdd07f82c0f56adee16f17f4f6a5033/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f7a696c6c697a746563682f47505443616368653f7374796c653d736f6369616c [58] Gorilla: https://github.com/ShishirPatil/gorilla [59] : https://camo.githubusercontent.com/114728d53d657728c659e84ab512e3f7af9e4392dd83b9db1539c340cf776965/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f53686973686972506174696c2f676f72696c6c613f7374796c653d736f6369616c [60] LlamaHub: https://github.com/emptycrown/llama-hub [61] CollosalAI Chat: https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat [62] : https://camo.githubusercontent.com/a294d2683fcc9c5a7d3606036c8f40f711045255ade0d47000a607e620f8fd77/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6870636169746563682f436f6c6f7373616c41493f7374796c653d736f6369616c [63] AgentGPT: https://github.com/reworkd/AgentGPT [64] : https://camo.githubusercontent.com/0db278150651f631d291ca1ef7943b8a28343cb5d471ee6ff65fdefc8019a9a4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f7265776f726b642f4167656e744750543f7374796c653d736f6369616c [65] Local GPT: https://github.com/PromtEngineer/localGPT [66] : https://camo.githubusercontent.com/afc5bbd05aeb640191c3287fde6e2fcdaf90f5082c71e4bde61d132aea8d1b44/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f50726f6d74456e67696e6565722f6c6f63616c4750543f7374796c653d736f6369616c [67] ThinkGPT: https://github.com/alaeddine-13/thinkgpt [68] : https://camo.githubusercontent.com/b0b4ec2adfe1dff62cc9a965c17f540887b23cc21b06138e5f61f3d3964bd286/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f616c61656464696e652d31332f7468696e6b6770743f7374796c653d736f6369616c [69] Camel-AutoGPT: https://github.com/SamurAIGPT/Camel-AutoGPT [70] : https://camo.githubusercontent.com/a17e9217d26674eed8f86b32e6737b09510de507eaa79efd8ab262154732b6a6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f53616d757241494750542f43616d656c2d4175746f4750543f7374796c653d736f6369616c [71] Private GPT: https://github.com/imartinez/privateGPT [72] : https://camo.githubusercontent.com/ba10dae69316f5005522d167d2b602ba6c40b272a92735a72da8d0caa531e032/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f696d617274696e657a2f707269766174654750543f7374796c653d736f6369616c [73] RasaGPT: https://github.com/paulpierre/RasaGPT [74] : https://camo.githubusercontent.com/27b2aaab1dc52e23ab7f64190bbe99efb3b2ac11e10f369ea281933980fd3d55/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f7061756c7069657272652f526173614750543f7374796c653d736f6369616c [75] SkyAGI: https://github.com/litanlitudan/skyagi [76] PyCodeAGI: https://github.com/chakkaradeep/pyCodeAGI [77] BabyAGI UI: https://github.com/miurla/babyagi-ui [78] SuperAgent: https://github.com/homanp/superagent [79] : https://camo.githubusercontent.com/a7df1f9b460cdfb2185b935b4c0d2065b846a95518abc3d9b0204dda3f4224d0/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f686f6d616e702f73757065726167656e743f7374796c653d736f6369616c [80] Voyager: https://github.com/MineDojo/Voyager [81] : https://camo.githubusercontent.com/f5727e805f338b458d65c6474a276368a5d64648c3574cfdb774cef15d41951a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f4d696e65446f6a6f2f566f79616765723f7374796c653d736f6369616c [82] ix: https://github.com/kreneskyp/ix [83] : https://camo.githubusercontent.com/7642ee0b9bcf57f1d888371b27cd16ec7730d3d59231a3c49ad5321e9f5b874e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6b72656e65736b79702f69783f7374796c653d736f6369616c [84] DuetGPT: https://github.com/kristoferlund/duet-gpt [85] Multi-Modal LangChain agents in Production: https://github.com/steamship-packages/langchain-agent-production-starter [86] DemoGPT: https://github.com/melih-unsal/DemoGPT [87] SuperAGI: https://github.com/TransformerOptimus/SuperAGI [88] Autonomous HR Chatbot: https://github.com/stepanogil/autonomous-hr-chatbot [89] BlockAGI: https://github.com/blockpipe/blockagi [90] : https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#templates [91] AI: https://github.com/vercel-labs/ai [92] : https://camo.githubusercontent.com/73cdd9b1326e5f3f12241588694b3e2177967c63617a7ab39f6f0b2a8e29a181/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f76657263656c2d6c6162732f61693f7374796c653d736f6369616c [93] create-t3-turbo-ai: https://github.com/zckly/create-t3-turbo-ai [94] : https://camo.githubusercontent.com/be0fec1598a9e399614998e99614698be34e38cfa1e49119c7163bab0d086f0f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f7a636b6c792f6372656174652d74332d747572626f2d61693f7374796c653d736f6369616c [95] LangChain.js LLM模板: https://github.com/Conner1115/LangChain.js-LLM-Template [96] : https://camo.githubusercontent.com/8789af1935a695b9973b81795d513aa7cce5f3206c0c1fb92b0f8b7c372c69ee/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f436f6e6e6572313131352f4c616e67436861696e2e6a732d4c4c4d2d54656d706c6174653f7374796c653d736f6369616c [97] Streamlit模板: https://github.com/hwchase17/langchain-streamlit-template [98] : https://camo.githubusercontent.com/58c68659e9cbd2320ba8e95f39d107f198f9494df9b9a572c285a14945cd6158/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6877636861736531372f6c616e67636861696e2d73747265616d6c69742d74656d706c6174653f7374796c653d736f6369616c [99] Codespaces模板: https://github.com/lostintangent/codespaces-langchain [100] : https://camo.githubusercontent.com/48c12a002fffa01390175ab943dcb85e3e242c2109dd4b2bf7f24d95517a5188/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6c6f7374696e74616e67656e742f636f64657370616365732d6c616e67636861696e3f7374796c653d736f6369616c [101] Gradio模板: https://github.com/hwchase17/langchain-gradio-template [102] : https://camo.githubusercontent.com/ce54042bf524fdbef5961f2d72191386cbe10cdedaf15e4f77bfa8f2ea4ab59c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6877636861736531372f6c616e67636861696e2d67726164696f2d74656d706c6174653f7374796c653d736f6369616c [103] AI入门: https://github.com/a16z-infra/ai-getting-started [104] : https://camo.githubusercontent.com/2a29458d908d24711780dc463a2f3466b87ef914b7c5d4255ab3a1f5f1eae11b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6131367a2d696e6672612f61692d67657474696e672d737461727465643f7374796c653d736f6369616c [105] Embedchain: https://github.com/embedchain/embedchain [106] : https://camo.githubusercontent.com/09656217c7860883a7255ea799bfc99a5ba8db96f5d8f99884ccb5bcc67016dd/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f656d626564636861696e2f656d626564636861696e3f7374796c653d736f6369616c [107] Modal: https://modal.com/docs/guide/ex/potus_speech_qanda [108] Metal: https://getmetal.io/ [109] Graphsignal: https://graphsignal.com/ [110] Mona: https://github.com/monalabs/mona-openai [111] 知识管理: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#knowledge-management [112] Quiver: https://github.com/StanGirard/quiver [113] DocsGPT: https://github.com/arc53/docsgpt [114] Chaindesk: https://github.com/gmpetrov/databerry [115] Knowledge GPT: https://github.com/mmz-001/knowledge_gpt [116] Knowledge: https://github.com/KnowledgeCanvas/knowledge [117] Anything LLM: https://github.com/Mintplex-Labs/anything-llm [118] DocNavigator: https://github.com/vgulerianb/DocNavigator [119] ChatFiles: https://github.com/guangzhengli/ChatFiles [120] DataChad: https://github.com/gustavz/DataChad [121] Second Brain AI Agent: https://github.com/flepied/second-brain-agent [122] DB GPT: https://github.com/csunny/DB-GPT [123] : https://camo.githubusercontent.com/3bcfab955ea5ab9ecc0f8c6328861f8aff429cbfd068f58cdca34b61b6627fb6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6373756e6e792f44422d4750543f7374796c [124] AudioGPT: https://github.com/AIGC-Audio/AudioGPT [125] : https://camo.githubusercontent.com/5470b3c3dc42d53dc2278c61da746ca64a977dc3a07b176b0681a6332a69fc29/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f414947432d417564696f2f417564696f4750543f7374796c [126] Paper QA: https://github.com/whitead/paper-qa [127] : https://camo.githubusercontent.com/dba68995d8c57a8f685b08c2a8c4597b37cdc2c18cbcabc861da7c233bb0c759/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f776869746561642f70617065722d71613f7374796c653d736f6369616c [128] Chat Langchain: https://github.com/hwchase17/chat-langchain [129] : https://camo.githubusercontent.com/c59033679486f2a986cbce41c685156cf24dbbacf54a121865ec45001a37369b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6877636861736531372f636861742d6c616e67636861696e3f7374796c653d736f6369616c [130] Langchain Chat: https://github.com/zahidkhawaja/langchain-chat-nextjs [131] : https://camo.githubusercontent.com/041179065940c15acf156b3cea8dbc29abb5d68315bfd081ea81a66da9469950/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f7a616869646b686177616a612f6c616e67636861696e2d636861742d6e6578746a733f7374796c653d736f6369616c [132] Book GPT: https://github.com/fraserxu/book-gpt [133] : https://camo.githubusercontent.com/6060f86aad12f6395748728471eccf47e34a979ca7a3b3de3cc4151c851cb044/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f66726173657278752f626f6f6b2d6770743f7374796c653d736f6369616c [134] Chat LangchainJS: https://github.com/sullivan-sean/chat-langchainjs [135] Doc Search: https://github.com/namuan/dr-doc-search [136] Fact Checker: https://github.com/jagilley/fact-checker [137] MM ReAct: https://github.com/microsoft/MM-REACT [138] QABot: https://github.com/hardbyte/qabot [139] GPT Automator: https://github.com/chidiwilliams/GPT-Automator [140] Teams LangchainJS（团队LangchainJS）: https://github.com/SidU/teams-langchain-js [141] ChatGPT（聊天GPT）: https://github.com/biff-ai/chatgpt-langchainjs-example [142] FlowGPT（流程GPT）: https://github.com/nilooy/flowgpt [143] langchain-text-summarizer: https://github.com/alphasecio/langchain-text-summarizer [144] : https://camo.githubusercontent.com/96e633813d55ac19437cd9e1d0e2f9cebde40212ea3c0d5656599e303e3f934d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f616c706861736563696f2f6c616e67636861696e2d746578742d73756d6d6172697a65723f7374796c653d736f6369616c [145] Langchain Chat Websocket: https://github.com/pors/langchain-chat-websockets [146] : https://camo.githubusercontent.com/7861ad47175002b4345b10d9bc16cd1229eea9c6378d6652528437ac84afbf95/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f706f72732f6c616e67636861696e2d636861742d776562736f636b6574733f7374796c653d736f6369616c [147] langchain_yt_tools: https://github.com/venuv/langchain_yt_tools [148] : https://camo.githubusercontent.com/21fd2e1ca841205ca16498d558765d9e71eedb6cecb76df2e484e9fd8bbf1dae/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f76656e75762f6c616e67636861696e5f79745f746f6f6c733f7374796c653d736f6369616c [149] 智慧飞行员: https://github.com/jaredkirby/SmartPilot [150] Howdol: https://github.com/bborn/howdoi.ai [151] MrsStax: https://github.com/normandmickey/MrsStax [152] ThoughtSource⚡: https://github.com/OpenBioLink/ThoughtSource [153] ChatGPT Langchain: https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain [154] Chat Math Techniques: https://huggingface.co/spaces/JavaFXpert/gpt-math-techniques [155] Notion QA: https://github.com/hwchase17/notion-qa [156] : https://camo.githubusercontent.com/75bda4b7eff8eb8fcbad3992822de97bfd27d774b6da8ae7f09a1102e4a4b81a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6877636861736531372f6e6f74696f6e2d71613f7374796c653d736f6369616c [157] QNimGPT: https://huggingface.co/spaces/rituthombre/QNim [158] ChatPDF: https://github.com/akshata29/chatpdf [159] : https://camo.githubusercontent.com/d5098faa9a4f6b26495a0362803705327055023b92e107993684aed0dfef0d71/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f616b736861746132392f636861747064663f7374796c653d736f6369616c [160] Chat with Scanned Documents: https://github.com/tony-xlh/Chat-with-Scanned-Documents [161] snowChat ❄️: https://github.com/kaarthik108/snowChat [162] Airtable-QnA: https://github.com/ikram-shah/airtable-qna [163] WingmanAI: https://github.com/e-johnstonn/wingmanAI [164] TutorGPT: https://github.com/plastic-labs/tutor-gpt [165] Cheshire Cat: https://github.com/cheshire-cat-ai/core [166] Got Chaat Bot: https://github.com/parker84/GoT-chat-bot [167] : https://camo.githubusercontent.com/6813dad9e667de9c5d94d7e8444ef85509be6408586d4065cdafa9149371758f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f7061726b657238342f476f542d636861742d626f743f7374796c653d736f6369616c [168] Dialoqbase: https://github.com/n4ze3m/dialoqbase [169] : https://camo.githubusercontent.com/6ce8442522ab1fa35ac3f340bb48534f4a2bfba2a4abd40b4f2d19035e3eb09d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6e347a65336d2f6469616c6f71626173653f7374796c653d736f6369616c [170] CSV-AI 🧠: https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/snowflake.html [171] MindGeniusAI: https://github.com/xianjianlf2/MindGeniusAI [172] Robby-Chatbot: https://github.com/yvann-hub/Robby-chatbot [173] AI Chatbot: https://github.com/vercel-labs/ai-chatbot [174] Instrukt: https://github.com/blob42/Instrukt [175] : https://camo.githubusercontent.com/63ba3a72ff05f96df0ba22aa7c1a30f2995ed0ac1641d9f919792ce7496a52a4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f626c6f6234322f496e737472756b743f7374796c653d736f6369616c [176] OpenChat: https://github.com/openchatai/OpenChat/ [177] : https://camo.githubusercontent.com/f5475122d111f75d99cb7b35a07cf2dc9d603e9d88945ab6b7c294607cbac291/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6f70656e6368617461692f4f70656e436861743f7374796c653d736f6369616c [178] : https://camo.githubusercontent.com/f5475122d111f75d99cb7b35a07cf2dc9d603e9d88945ab6b7c294607cbac291/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6f70656e6368617461692f4f70656e436861743f7374796c653d736f6369616c [179] Twitter Agent: https://github.com/ahmedbesbes/twitter-agent/ [180] : https://camo.githubusercontent.com/3e7b95ed0daaef482842f747c9f18875cb155d31cde6236f4aa1571a1a0e4a53/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f61686d65646265736265732f747769747465722d6167656e743f7374796c653d736f6369616c [181] GPT Migrate: https://github.com/0xpayne/gpt-migrate [182] Code Interpreter API: https://github.com/shroominic/codeinterpreter-api [183] : https://camo.githubusercontent.com/75d2e23be179c6b0eb0a11de9b2f408aedd67f96a95053e45a066eac51b401cc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f7368726f6f6d696e69632f636f6465696e7465727072657465722d6170693f7374796c653d736f6369616c [184] : https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#learn [185] : https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#notebooks [186] Langchain教程: https://github.com/gkamradt/langchain-tutorials [187] LangChain中文入门指南: https://github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide [188] Flan5 LLM: https://colab.research.google.com/drive/1AVh9dOsG9DKzfK7gOFrJuitPIcLPqlbO?usp=sharing [189] LangChain 手册: https://github.com/pinecone-io/examples/tree/master/generation/langchain/handbook [190] 查询 YouTube 视频剪辑文本: https://colab.research.google.com/drive/1sKSTjt9cPstl_WMZ86JsgEqFG-aSAwkn?usp=sharing [191] llm-lobbyist: https://github.com/JohnNay/llm-lobbyist [192] Langchain语义搜索: https://github.com/venuv/langchain_semantic_search [193] GPT政治罗盘: https://colab.research.google.com/drive/1xt2IsFPGYMEQdoJFNgWNAjWGxa60VXdV [194] llm-grovers-search-party: https://github.com/JavaFXpert/llm-grovers-search-party [195] TextWorld ReAct Agent: https://colab.research.google.com/drive/19WTIWC3prw5LDMHmRMvqNV2loD9FHls6?usp=sharing [196] LangChain <> Wolfram Alpha: https://colab.research.google.com/drive/1AAyEdTz-Z6ShKvewbt1ZHUICqak0MiwR?usp=sharing [197] BYO Knowledge Graph: https://github.com/prof-frink-lab/slangchain/blob/main/docs/modules/knowledge_graph/examples/byo_knowledge_graph.ipynb [198] Sam Witteveen的LangChain系列: https://www.youtube.com/watch?v=J_0qvRt4LNk&list=PL8motc6AQftk1Bs42EW45kwYbyJ4jOdiZ [199] LangChain教程播放列表: https://www.youtube.com/playlist?list=PL611FKPtL866MnlDPHvI3KwVGqCB-QJAx [200] LangChain James Briggs的播放列表: https://www.youtube.com/watch?v=nE2skSRWTTs&list=PLIUOU7oqGTLieV9uTIFMm6_4PXg-hlN6F [201] Greg Kamradt的播放列表: https://www.youtube.com/watch?v=_v_fgW2SkkQ&list=PLqZXAkvF1bPNQER9mLmDbntNfSpzdDIU5 [202] 其他LLM框架: https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#other-llm-frameworks [203] Transformers Agents: https://huggingface.co/docs/transformers/transformers_agents [204] LlamaIndex: https://github.com/jerryjliu/llama_index [205] Botpress: https://github.com/botpress/botpress [206] Haystack: https://github.com/deepset-ai/haystack [207] : https://camo.githubusercontent.com/218024f0ff54369f855336782710773b791a9249b01c132a01d9d358d18b78d4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f646565707365742d61692f686179737461636b3f7374796c653d736f6369616c [208] Semantic Kernel: https://github.com/microsoft/semantic-kernel [209] : https://camo.githubusercontent.com/0c8ed625bbebf26eafaaedf292e634000d328848a5a2ac2fcafbbd88733b3c60/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6d6963726f736f66742f73656d616e7469632d6b65726e656c3f7374796c653d736f6369616c [210] Promptify: https://github.com/promptslab/Promptify [211] : https://camo.githubusercontent.com/fb7a18c8e3a6a388d9d8c051728dff99856954ad9577bb26dffb08800fb378ee/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f70726f6d7074736c61622f50726f6d70746966793f7374796c653d736f6369616c [212] PromptSource: https://github.com/bigscience-workshop/promptsource [213] : https://camo.githubusercontent.com/9ec4b56ec5cb8db9de1c882aec3288814dbaae61879d35b6371817c324dca465/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f626967736369656e63652d776f726b73686f702f70726f6d7074736f757263653f7374796c653d736f6369616c [214] Agent-LLM: https://github.com/Josh-XT/Agent-LLM [215] : https://camo.githubusercontent.com/4649baddc026d521e526188b7195043cb5cc05e1ba8af77c7ed78a60984490ee/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f4a6f73682d58542f4167656e742d4c4c4d3f7374796c653d736f6369616c [216] LLM Agents: https://github.com/mpaepper/llm_agents [217] : https://camo.githubusercontent.com/038e74d24a91dd6f5399618900607ddf63607729032443fd40d54eac2a5b3fe7/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6d706165707065722f6c6c6d5f6167656e74733f7374796c653d736f6369616c [218] MiniChain: https://github.com/srush/MiniChain [219] : https://camo.githubusercontent.com/1932058a2e0df4209bfc4f606e5a24f2fc08616dd2d6f01adc5f32c71b7fefeb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f73727573682f4d696e69436861696e3f7374796c653d736f6369616c [220] Griptape: https://github.com/griptape-ai/griptape [221] llm-chain: https://github.com/sobelio/llm-chain [222] PromptFlow: https://github.com/InsuranceToolkits/promptflow [223] OpenLM: https://github.com/r2d4/openlm [224] Typescript: https://github.com/r2d4/llm.ts [225] Dust: https://github.com/dust-tt/dust [226] e2b: https://github.com/e2b-dev/e2b [227] SuperAGI: https://github.com/TransformerOptimus/SuperAGI [228] SmartGPT: https://github.com/Cormanz/smartgpt [229] TermGPT: https://github.com/Sentdex/TermGPT [230] ReLLM: https://github.com/r2d4/rellm [231] OpenDAN: https://github.com/fiatrete/OpenDAN-Personal-AI-OS [232] : https://camo.githubusercontent.com/afcc4d7e87cabdcc988168bd918c609632c45ec90121099420bfb19892450694/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f66696174726574652f4f70656e44414e2d506572736f6e616c2d41492d4f533f7374796c653d736f6369616c [233] OpenLLM: https://github.com/bentoml/OpenLLM [234] : https://camo.githubusercontent.com/ea5b02d2a4c9f78fb7793d1fd5dab1ad8b55341e65fb01226922f3afb224bd2c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f62656e746f6d6c2f4f70656e4c4c4d3f7374796c653d736f6369616c [235] FlagAI: https://github.com/FlagAI-Open/FlagAI [236] : https://camo.githubusercontent.com/2de03fb8bbf1a5af960dc0dc6d8e0a8954b86518ab9738d4cf8d3c094c9b061f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f466c616741492d4f70656e2f466c616741493f7374796c653d736f6369616c [237] AI.JSX: https://github.com/fixie-ai/ai-jsx [238] : https://camo.githubusercontent.com/d0fcaac43ed954efeadcbac6042d007c90c1bd441bfb38aa6ba26d49e6b9b796/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f66697869652d61692f61692d6a73783f7374796c653d736f6369616c [239] Outlines: https://github.com/normal-computing/outlines [240] : https://camo.githubusercontent.com/ea01f574ac090c46980761f39888f9b204bdf38e859d3a9746f4fd3ac54713e3/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6e6f726d616c2d636f6d707574696e672f6f75746c696e65733f7374796c653d736f6369616c [241] AI Utils: https://github.com/lgrammel/ai-utils.js [242] : https://camo.githubusercontent.com/ff8645029b522692ef592df33b67aa2d5865c5c071367895b4f31001d793c542/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f73746172732f6c6772616d6d656c2f61692d7574696c732e6a733f7374796c653d736f6369616c [243] MetaGPT: https://github.com/geekan/MetaGPT [244] Hyv: https://github.com/failfa-st/hyv [245] Autochain: https://github.com/Forethought-Technologies/AutoChain [246] TypeChat: https://github.com/microsoft/TypeChat [247] Marvin: https://github.com/PrefectHQ/marvin [248] LMQL: https://github.com/eth-sri/lmql [249] LLMFlow: https://github.com/stoyan-stoyanov/llmflows [250] Ax: https://github.com/axilla-io/ax [251] : https://github.com/kyrolabs/awesome-langchain/blob/main/README.md#complement-to-this-list [252] 开源LLM清单: https://github.com/eugeneyan/open-llms [253] Awesome LLM: https://github.com/Hannibal046/Awesome-LLM [254] LLaMA Cult and More: https://github.com/shm007g/LLaMA-Cult-and-More