add repositories (Updated on December 12, 2024)

taishi-i · Dec 11, 2024 · aeb5000 · aeb5000
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diff --git a/README.md b/README.md
@@ -15,20 +15,26 @@ Your contributions are always welcome! Before contributing, please read [the gui
 
 ## The latest additions 🎉
 
+**Chatbots**
+ * [ipranges](https://github.com/lord-alfred/ipranges) - 🔨 List all IP ranges from: Google (Cloud & GoogleBot), Bing (Bingbot), Amazon (AWS), Microsoft, Oracle (Cloud), GitHub, Facebook (Meta), OpenAI (GPTBot) and other with daily updates.
+
+
 **NLP**
- * [BricksLLM](https://github.com/bricks-cloud/bricksllm) - 🔒 Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports OpenAI, Azure OpenAI, Anthropic, vLLM, and open-source LLMs.
+ * [nerve](https://github.com/evilsocket/nerve) - Create LLM agents without writing code.
+ * [OpenAdapt](https://github.com/openadaptai/openadapt) - Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
+ * [opik](https://github.com/comet-ml/opik/) - Open-source end-to-end LLM Development Platform
 
 
 **Langchain**
- * [langchain-rust](https://github.com/abraxas-365/langchain-rust) - 🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust
+ * [llama3.java](https://github.com/mukel/llama3.java) - Practical Llama 3 inference in Java
+ * [vectordb-recipes](https://github.com/lancedb/vectordb-recipes) - High quality resources & applications for LLMs, multi-modal models and VectorDBs
 
 
-**Openai**
- * [faster-whisper-GUI](https://github.com/cheshirecc/faster-whisper-gui) - faster_whisper GUI with PySide6
- * [APIPark](https://github.com/apiparklab/apipark) - 🦄APIPark is the #1 open-source AI Gateway and Developer Portal, enabling you to easily manage, integrate, and deploy AI and API services. APIPark seamlessly connects with various large AI models and packages these AI capabilities into APIs for easy invocation.
+**Others**
+ * [onyx](https://github.com/onyx-dot-app/onyx) - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
 
 
-_Updated on December 09, 2024_ (A total of 1905 repositories listed.)
+_Updated on December 12, 2024_ (A total of 1913 repositories listed.)
 
 ## Table of contents
 
@@ -556,6 +562,7 @@ _Updated on December 09, 2024_ (A total of 1905 repositories listed.)
  * [multi-agent-orchestrator](https://github.com/awslabs/multi-agent-orchestrator) - Flexible and powerful framework for managing multiple AI agents and handling complex conversations
  * [extended_openai_conversation](https://github.com/jekalmin/extended_openai_conversation) - Home Assistant custom component of conversation agent. It uses OpenAI to control your devices.
  * [AI-Data-Analysis-MultiAgent](https://github.com/starpig1129/ai-data-analysis-multiagent) - AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, data analysis, visualization, and report writing. Perfect for researchers and data scientists seeking to enhance their workflow and productivity.
+ * [ipranges](https://github.com/lord-alfred/ipranges) - 🔨 List all IP ranges from: Google (Cloud & GoogleBot), Bing (Bingbot), Amazon (AWS), Microsoft, Oracle (Cloud), GitHub, Facebook (Meta), OpenAI (GPTBot) and other with daily updates.
 
 
 ## Browser-extensions
@@ -1252,6 +1259,9 @@ _Updated on December 09, 2024_ (A total of 1905 repositories listed.)
  * [code-interpreter](https://github.com/e2b-dev/code-interpreter) - Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
  * [atomic-agents](https://github.com/brainblend-ai/atomic-agents) - Building AI agents, atomically
  * [BricksLLM](https://github.com/bricks-cloud/bricksllm) - 🔒 Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports OpenAI, Azure OpenAI, Anthropic, vLLM, and open-source LLMs.
+ * [nerve](https://github.com/evilsocket/nerve) - Create LLM agents without writing code.
+ * [OpenAdapt](https://github.com/openadaptai/openadapt) - Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
+ * [opik](https://github.com/comet-ml/opik/) - Open-source end-to-end LLM Development Platform
 
 
 ## Langchain
@@ -1370,6 +1380,8 @@ _Updated on December 09, 2024_ (A total of 1905 repositories listed.)
  * [free-llm-api-resources](https://github.com/cheahjs/free-llm-api-resources) - A list of free LLM inference resources accessible via API.
  * [tensorzero](https://github.com/tensorzero/tensorzero) - TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
  * [langchain-rust](https://github.com/abraxas-365/langchain-rust) - 🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust
+ * [llama3.java](https://github.com/mukel/llama3.java) - Practical Llama 3 inference in Java
+ * [vectordb-recipes](https://github.com/lancedb/vectordb-recipes) - High quality resources & applications for LLMs, multi-modal models and VectorDBs
 
 
 ## Unity
@@ -2008,4 +2020,6 @@ _Updated on December 09, 2024_ (A total of 1905 repositories listed.)
  * [ChatALL](https://github.com/ai-shifu/chatall) - Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
  * [shadcn-nextjs-boilerplate](https://github.com/horizon-ui/shadcn-nextjs-boilerplate) - Shadcn UI NextJS Boilerplate ⚡️ Free Open-source ChatGPT UI Admin Dashboard Template - Horizon AI Boilerplate
  * [TaskWeaver](https://github.com/microsoft/taskweaver) - CMake integration in Visual Studio Code
- * [Opik](https://github.com/comet-ml/opik) - Evaluate, test, and ship LLM applications with a suite of observability tools to calibrate language model outputs across your dev and production lifecycle. ![GitHub Badge](https://img.shields.io/github/stars/comet-ml/opik.svg?style=flat-square)
+ * [onyx](https://github.com/onyx-dot-app/onyx) - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
+
+
diff --git a/awesome-ChatGPT-repositories.json b/awesome-ChatGPT-repositories.json
@@ -12129,6 +12129,41 @@
                     "zh-hans": "AI驱动的研究助手：一种用于自动化复杂研究过程的先进多代理系统。利用LangChain、OpenAI GPT和LangGraph，这个工具简化了假设生成、数据分析、可视化和报告撰写。完美",
                     "zh-hant": "AI驅動的研究助理：一個先進的多智能體系統，用於自動化複雜的研究過程。利用LangChain、OpenAI GPT和LangGraph，這個工具可以簡化假設生成、數據分析、可視化和報告撰寫。完美。"
                 }
+            },
+            "https://github.com/lord-alfred/ipranges": {
+                "repository_name": "ipranges",
+                "user_name": "lord-alfred",
+                "language": "Shell",
+                "license": "Creative Commons Zero v1.0 Universal",
+                "description": "🔨 List all IP ranges from: Google (Cloud & GoogleBot), Bing (Bingbot), Amazon (AWS), Microsoft, Oracle (Cloud), GitHub, Facebook (Meta), OpenAI (GPTBot) and other with daily updates.",
+                "topics": [
+                    "amazon-aws",
+                    "azure",
+                    "bing",
+                    "bingbot",
+                    "bug-bounty",
+                    "bugbounty",
+                    "cidr",
+                    "cidr-ranges",
+                    "digitalocean",
+                    "facebook",
+                    "google-cloud",
+                    "googlebot",
+                    "ip-ranges",
+                    "iplist",
+                    "microsoft",
+                    "network-security",
+                    "oracle",
+                    "osint",
+                    "pentesting",
+                    "twitter"
+                ],
+                "multilingual_descriptions": {
+                    "en": "🔨 List all IP ranges from: Google (Cloud & GoogleBot), Bing (Bingbot), Amazon (AWS), Microsoft, Oracle (Cloud), GitHub, Facebook (Meta), OpenAI (GPTBot) and other with daily updates.",
+                    "ja": "🔨 Google（Cloud＆GoogleBot）、Bing（Bingbot）、Amazon（AWS）、Microsoft、Oracle（Cloud）、GitHub、Facebook（Meta）、OpenAI（GPTBot）などのすべてのIP範囲をリストアップし、毎日更新します。",
+                    "zh-hans": "🔨列出以下所有IP范围：Google（云和GoogleBot）、必应（Bingbot）、亚马逊（AWS）、微软、甲骨文（云）、GitHub、Facebook（Meta）、OpenAI（GPTBot）和其他，并每日更新。",
+                    "zh-hant": "🔨列出來自Google（Cloud＆GoogleBot）、Bing（Bingbot）、Amazon（AWS）、Microsoft、Oracle（Cloud）、GitHub、Facebook（Meta）、OpenAI（GPTBot）和其他每日更新的IP範圍。"
+                }
             }
         },
         "Browser-extensions": {
@@ -27247,6 +27282,78 @@
                     "zh-hans": "🔒 企业级API网关，可帮助您监控并根据API密钥强制成本或速率限制。获得对每个用户、应用程序或环境的细粒度访问控制和监控。支持OpenAI、Azure OpenAI、Anthropic、vLLM和开源LLMs。",
                     "zh-hant": "🔒 企業級 API 網關，可幫助您監控並對每個 API 金鑰施加成本或速率限制。獲得對每個用戶、應用程序或環境的細粒度訪問控制和監控。支持 OpenAI、Azure OpenAI、Anthropic、vLLM 和開源 LLMs。"
                 }
+            },
+            "https://github.com/evilsocket/nerve": {
+                "repository_name": "nerve",
+                "user_name": "evilsocket",
+                "language": "Rust",
+                "license": "Other",
+                "description": "Create LLM agents without writing code.",
+                "topics": [
+                    "agent-based-modeling",
+                    "agents",
+                    "ai",
+                    "groq",
+                    "llm",
+                    "ollama",
+                    "openai",
+                    "stateful-llm"
+                ],
+                "multilingual_descriptions": {
+                    "en": "Create LLM agents without writing code.",
+                    "ja": "コードを書かずにLLMエージェントを作成します。",
+                    "zh-hans": "创建LLM代理而无需编写代码。",
+                    "zh-hant": "無需編寫代碼即可創建LLM代理。"
+                }
+            },
+            "https://github.com/openadaptai/openadapt": {
+                "repository_name": "OpenAdapt",
+                "user_name": "OpenAdaptAI",
+                "language": "Python",
+                "license": "MIT License",
+                "description": "Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models",
+                "topics": [
+                    "agents",
+                    "ai-agents",
+                    "ai-agents-framework",
+                    "anthropic",
+                    "computer-use",
+                    "generative-process-automation",
+                    "google-gemini",
+                    "gpt4o",
+                    "huggingface",
+                    "large-action-model",
+                    "large-language-models",
+                    "large-multimodal-models",
+                    "omniparser",
+                    "openai",
+                    "process-automation",
+                    "process-mining",
+                    "python",
+                    "segment-anything",
+                    "transformers",
+                    "ultralytics"
+                ],
+                "multilingual_descriptions": {
+                    "en": "Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models",
+                    "ja": "オープンソースの生成プロセス自動化（すなわち、生成RPA）。大規模な（言語（LLMs）/アクション（LAMs）/マルチモーダル（LMMs）/ビジュアル言語（VLMs））モデルを使用したAIファーストプロセス自動化。",
+                    "zh-hans": "开源生成过程自动化（即生成式RPA）。具有大型（[语言（LLMs）/动作（LAMs）/多模态（LMMs）/视觉语言（VLMs）]）模型的AI优先流程自动化。",
+                    "zh-hant": "開源生成式流程自動化（即生成式RPA）。具有大型（語言（LLMs）/操作（LAMs）/多模式（LMMs）/視覺語言（VLMs））模型的AI優先流程自動化。"
+                }
+            },
+            "https://github.com/comet-ml/opik/": {
+                "repository_name": "opik",
+                "user_name": "comet-ml",
+                "language": "Java",
+                "license": "Apache License 2.0",
+                "description": "Open-source end-to-end LLM Development Platform",
+                "topics": [],
+                "multilingual_descriptions": {
+                    "en": "Open-source end-to-end LLM Development Platform",
+                    "ja": "オープンソースのエンドツーエンドLLM開発プラットフォーム",
+                    "zh-hans": "开源端到端LLM开发平台",
+                    "zh-hant": "開源端到端LLM開發平台"
+                }
             }
         },
         "Langchain": {
@@ -29963,6 +30070,65 @@
                     "zh-hans": "🦜️🔗LangChain为Rust提供了最简单的方式来编写基于LLM的程序",
                     "zh-hant": "🦜️🔗LangChain for Rust，在Rust中撰寫基於LLM的程式的最簡單方式"
                 }
+            },
+            "https://github.com/mukel/llama3.java": {
+                "repository_name": "llama3.java",
+                "user_name": "mukel",
+                "language": "Java",
+                "license": "MIT License",
+                "description": "Practical Llama 3 inference in Java",
+                "topics": [
+                    "chatgpt",
+                    "genai",
+                    "gguf",
+                    "huggingface",
+                    "java",
+                    "llama",
+                    "llama3",
+                    "llamacpp",
+                    "llm",
+                    "llm-inference",
+                    "llms",
+                    "openai",
+                    "simd",
+                    "transformers"
+                ],
+                "multilingual_descriptions": {
+                    "en": "Practical Llama 3 inference in Java",
+                    "ja": "Javaでの実用的なラマ3推論",
+                    "zh-hans": "在Java中进行实用Llama 3推断",
+                    "zh-hant": "實用的Java中的Llama 3推論"
+                }
+            },
+            "https://github.com/lancedb/vectordb-recipes": {
+                "repository_name": "vectordb-recipes",
+                "user_name": "lancedb",
+                "language": "Jupyter Notebook",
+                "license": "Apache License 2.0",
+                "description": "High quality resources & applications for LLMs, multi-modal models and VectorDBs ",
+                "topics": [
+                    "agents",
+                    "ai",
+                    "deep-learning",
+                    "embeddings",
+                    "fine-tuning",
+                    "gpt",
+                    "gpt-4-vision",
+                    "langchain",
+                    "llama-index",
+                    "llms",
+                    "machine-learning",
+                    "multimodal",
+                    "openai",
+                    "rag",
+                    "vector-database"
+                ],
+                "multilingual_descriptions": {
+                    "en": "High quality resources & applications for LLMs, multi-modal models and VectorDBs",
+                    "ja": "LLMs、マルチモーダルモデル、およびVectorDB向けの高品質リソース＆アプリケーション",
+                    "zh-hans": "高质量资源和应用程序供LLMs、多模型和VectorDBs使用",
+                    "zh-hant": "高品質的資源和應用於LLMs，多模型和VectorDBs"
+                }
             }
         },
         "Unity": {
@@ -42509,6 +42675,29 @@
                     "zh-hans": "在Visual Studio Code中集成CMake",
                     "zh-hant": "在Visual Studio Code中集成CMake"
                 }
+            },
+            "https://github.com/onyx-dot-app/onyx": {
+                "repository_name": "onyx",
+                "user_name": "onyx-dot-app",
+                "language": "Python",
+                "license": "Other",
+                "description": "Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.",
+                "topics": [
+                    "ai-chat",
+                    "chatgpt",
+                    "enterprise-search",
+                    "gen-ai",
+                    "information-retrieval",
+                    "nextjs",
+                    "python",
+                    "rag"
+                ],
+                "multilingual_descriptions": {
+                    "en": "Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.",
+                    "ja": "Gen-AI チャット for Teams - チームの独自の知識にアクセスできる場合、ChatGPTを考えてください。",
+                    "zh-hans": "Gen-AI团队聊天-如果它能访问您团队的独特知识，就像ChatGPT一样。",
+                    "zh-hant": "Gen-AI團隊聊天-如果它可以訪問您團隊的獨特知識，就像ChatGPT一樣。"
+                }
             }
         }
     }