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26 changes: 19 additions & 7 deletions README.md
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## The latest additions 🎉

**Chatbots**
* [hollama](https://github.com/fmaclen/hollama) - A minimal web-UI for talking to Ollama (and OpenAI) servers
**Prompts**
* [langtrace](https://github.com/scale3-labs/langtrace) - Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊


**Langchain**
* [go-stock](https://github.com/arvinlovegood/go-stock) - 🦄🦄🦄AI赋能股票分析：自选股行情获取，成本盈亏展示，涨跌报警推送，市场整体/个股情绪分析，K线技术指标分析等。数据全部保留在本地。支持DeepSeek，OpenAI， Ollama，LMStudio，AnythingLLM，硅基流动，火山方舟，阿里云百炼等平台或模型。
**CLIs**
* [lumen](https://github.com/jnsahaj/lumen) - Instant AI Git Commit message, Git changes summary from the CLI (no API key required)


**Others**
* [memobase](https://github.com/memodb-io/memobase) - Profile-Based Long-Term Memory for AI Applications
**NLP**
* [AIaW](https://github.com/nitrorcr/aiaw) - AI as Workspace - 精心设计的 AI (LLM) 客户端。 全功能，轻量级；支持多工作区、插件系统、跨平台、本地优先+实时云同步、Artifacts
* [uni-api](https://github.com/yym68686/uni-api) - This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.
* [paperless-gpt](https://github.com/icereed/paperless-gpt) - Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI


**Openai**
* [openai-java](https://github.com/openai/openai-java) - The official Java library for the OpenAI API


_Updated on February 27, 2025_ (A total of 2003 repositories listed.)
_Updated on March 03, 2025_ (A total of 2009 repositories listed.)

## Table of contents

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* [LangChain](https://github.com/tryagi/langchain) - C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
* [Kiln](https://github.com/kiln-ai/kiln) - The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.
* [JamAIBase](https://github.com/embeddedllm/jamaibase) - The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
* [langtrace](https://github.com/scale3-labs/langtrace) - Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊


## Chatbots
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* [gpt_mobile](https://github.com/taewan-p/gpt_mobile) - Chat app for Android that supports answers from multiple LLMs at once. Bring your own API key AI client. Supports OpenAI, Anthropic, Google, and Ollama. Designed with Material3 & Compose.
* [com.openai.unity](https://github.com/rageagainstthepixel/com.openai.unity) - A Non-Official OpenAI Rest Client for Unity (UPM)
* [ai-renamer](https://github.com/ozgrozer/ai-renamer) - A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents
* [lumen](https://github.com/jnsahaj/lumen) - Instant AI Git Commit message, Git changes summary from the CLI (no API key required)


## Reimplementations
Expand Down Expand Up @@ -1310,6 +1318,9 @@ _Updated on February 27, 2025_ (A total of 2003 repositories listed.)
* [deep-searcher](https://github.com/zilliztech/deep-searcher) - Deep Research Alternative to Reason on Private Data in Python
* [bailing](https://github.com/wwbin2017/bailing) - 百聆 是一个类似GPT-4o的语音对话机器人，通过ASR+LLM+TTS实现，集成DeepSeek R1等优秀大模型，时延低至800ms，低配置也可运行，支持打断
* [brainrot.js](https://github.com/brainrotjs/brainrot.js) - Text to video generator in the brainrot form. Learn about any topic from your favorite personalities 😼.
* [AIaW](https://github.com/nitrorcr/aiaw) - AI as Workspace - 精心设计的 AI (LLM) 客户端。 全功能，轻量级；支持多工作区、插件系统、跨平台、本地优先+实时云同步、Artifacts
* [uni-api](https://github.com/yym68686/uni-api) - This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.
* [paperless-gpt](https://github.com/icereed/paperless-gpt) - Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI


## Langchain
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* [note-gen](https://github.com/codexu/note-gen) - 一款专注于记录和写作的跨端 AI 笔记
* [DeepClaude](https://github.com/erlichliu/deepclaude) - DeepSeek r1 and Claude 3.5 Sonnet achieve the best combination, fully unleashing the power of the strongest models. Supports OpenAI streaming output and can run on your favorite ChatBox!
* [openai](https://github.com/azure-samples/openai) - The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.
* [openai-java](https://github.com/openai/openai-java) - The official Java library for the OpenAI API


## Others
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132 changes: 132 additions & 0 deletions awesome-ChatGPT-repositories.json
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"zh-hans": "用于人工智能的协作电子表格。将单元格链接成强大的管道，尝试不同的提示和模型，并实时评估LLM的响应。无缝合作，共同构建和迭代人工智能应用程序。",
"zh-hant": "用於人工智慧的協作試算表。將單元格鏈接成強大的管道，通過提示和模型進行實驗，並即時評估LLM的回應。無縫合作，共同建立和迭代人工智慧應用程序。"
}
},
"https://github.com/scale3-labs/langtrace": {
"repository_name": "langtrace",
"user_name": "Scale3-Labs",
"language": "TypeScript",
"license": "GNU Affero General Public License v3.0",
"description": "Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊",
"topics": [
"ai",
"datasets",
"evaluations",
"gpt",
"langchain",
"llm",
"llm-framework",
"llmops",
"observability",
"open-source",
"open-telemetry",
"openai",
"prompt-engineering",
"tracing"
],
"multilingual_descriptions": {
"en": "Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊",
"ja": "Langtrace 🔍は、LLMアプリケーション向けのオープンソースのエンドツーエンドの可観測性ツールであり、人気のあるLLM、LLMフレームワーク、ベクターデータベースなどに対してリアルタイムのトレース、評価、メトリクスを提供します。Typescript、Pythonを使用して統合できます。🚀💻📊",
"zh-hans": "Langtrace 🔍 是一个基于开放遥测的开源端到端观测工具，用于LLM应用程序，为流行的LLM、LLM框架、向量数据库等提供实时跟踪、评估和指标。使用Typescript、Python进行集成。🚀💻📊",
"zh-hant": "Langtrace 🔍 是一個開源的、基於 Open Telemetry 的端到端觀測工具，用於LLM應用程序，為流行的LLM、LLM框架、向量數據庫等提供實時追蹤、評估和指標。使用Typescript、Python進行集成。🚀💻📊"
}
}
},
"Chatbots": {
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"zh-hans": "一个使用Ollama和LM Studio模型（Llava，Gemma，Llama等）的Node.js CLI，可以根据文件内容智能地重命名文件。",
"zh-hant": "一個使用Ollama和LM Studio模型（Llava、Gemma、Llama等）的Node.js CLI，可以根據文件內容智能地重新命名文件。"
}
},
"https://github.com/jnsahaj/lumen": {
"repository_name": "lumen",
"user_name": "jnsahaj",
"language": "Rust",
"license": "MIT License",
"description": "Instant AI Git Commit message, Git changes summary from the CLI (no API key required)",
"topics": [
"cli",
"commit",
"git",
"llm",
"openai",
"rust"
],
"multilingual_descriptions": {
"en": "Instant AI Git Commit message, Git changes summary from the CLI (no API key required)",
"ja": "インスタントAI Gitコミットメッセージ、CLIからのGit変更の要約（APIキーは不要）",
"zh-hans": "即时AI Git提交消息，Git更改摘要来自CLI（无需API密钥）",
"zh-hant": "即時AI Git提交消息，從CLI中的Git更改摘要（無需API密鑰）"
}
}
},
"Reimplementations": {
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"zh-hans": "大脑形式的文本到视频生成器。从您喜爱的名人那里学习任何主题 😼。",
"zh-hant": "在腦部形式中生成文本到視頻的工具。從您喜愛的名人那裡學習任何主題 😼。"
}
},
"https://github.com/nitrorcr/aiaw": {
"repository_name": "AIaW",
"user_name": "NitroRCr",
"language": "Vue",
"license": "BSD 3-Clause \"New\" or \"Revised\" License",
"description": "AI as Workspace - 精心设计的 AI (LLM) 客户端。 全功能，轻量级；支持多工作区、插件系统、跨平台、本地优先+实时云同步、Artifacts",
"topics": [
"ai",
"chatgpt",
"claude",
"docker",
"function-calling",
"llm",
"local-first",
"openai",
"pwa",
"vue"
],
"multilingual_descriptions": {
"en": "AI as Workspace - A carefully designed AI (LLM) client. Full-featured, lightweight; supports multiple workspaces, plugin system, cross-platform, local-first + real-time cloud synchronization, Artifacts.",
"ja": "AI as Workspace - 精心設計的 AI (LLM) 客戶端。全功能，輕量級；支持多工作區、插件系統、跨平台、本地優先+實時雲同步、Artifacts",
"zh-hans": "AI作为工作空间 - 精心设计的AI（LLM）客户端。全功能，轻量级；支持多工作区、插件系统、跨平台、本地优先+实时云同步、Artifacts",
"zh-hant": "AI作为工作空间 - 精心設計的 AI (LLM) 客戶端。全功能，輕量級；支持多工作區、插件系統、跨平台、本地優先+實時雲同步、Artifacts"
}
},
"https://github.com/yym68686/uni-api": {
"repository_name": "uni-api",
"user_name": "yym68686",
"language": "Python",
"license": null,
"description": "This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.",
"topics": [
"claude",
"gemini",
"new-api",
"one-api",
"openai",
"uni-api",
"vertex"
],
"multilingual_descriptions": {
"en": "This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI,",
"ja": "これはLLM APIの管理を統一するプロジェクトです。統一されたAPIインターフェースを介して複数のバックエンドサービスを呼び出し、それらを一貫したOpenAI形式に変換し、ロードバランシングをサポートすることができます。現在サポートされているバックエンドサービスには、OpenAIが含まれています。",
"zh-hans": "这是一个统一管理LLM API的项目。它可以通过统一的API接口调用多个后端服务，将它们统一转换为OpenAI格式，并支持负载均衡。目前支持的后端服务包括：OpenAI。",
"zh-hant": "這是一個統一管理LLM API的專案。它可以通過統一的API接口調用多個後端服務，將它們統一轉換為OpenAI格式，並支持負載平衡。目前支持的後端服務包括：OpenAI。"
}
},
"https://github.com/icereed/paperless-gpt": {
"repository_name": "paperless-gpt",
"user_name": "icereed",
"language": "Go",
"license": "MIT License",
"description": "Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI",
"topics": [
"ai",
"chatgpt",
"llm",
"ollama",
"paperless",
"paperless-ngx"
],
"multilingual_descriptions": {
"en": "Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI",
"ja": "LLMとLLM Vision（OCR）を使用して、AIによって強化されたペーパーレス-ngx - 文書デジタル化を処理します。",
"zh-hans": "使用LLMs和LLM Vision（OCR）来处理无纸化-ngx-由人工智能驱动的文档数字化",
"zh-hant": "使用LLMs和LLM Vision（OCR）來處理無紙化-ngx-由人工智慧驅動的文件數位化"
}
}
},
"Langchain": {
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"zh-hans": "所有Azure OpenAI示例的存储库，补充OpenAI食谱。",
"zh-hant": "所有Azure OpenAI樣本的存儲庫，補充OpenAI食譜。"
}
},
"https://github.com/openai/openai-java": {
"repository_name": "openai-java",
"user_name": "openai",
"language": "Kotlin",
"license": "Apache License 2.0",
"description": "The official Java library for the OpenAI API",
"topics": [],
"multilingual_descriptions": {
"en": "The official Java library for the OpenAI API",
"ja": "OpenAI APIの公式Javaライブラリ",
"zh-hans": "OpenAI API的官方Java库",
"zh-hant": "OpenAI API 的官方 Java 库"
}
}
},
"Others": {
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