taishi-i commited on
Commit
ff67f64
1 Parent(s): 3b5ea99

update repos

Browse files
Files changed (1) hide show
  1. awesome-ChatGPT-repositories.json +142 -0
awesome-ChatGPT-repositories.json CHANGED
@@ -5173,6 +5173,41 @@
5173
  "zh-hans": "🧊 面向开发人员的开源LLM-可观测性平台。一键集成监控、指标、评估、代理追踪、提示管理、沙盒等功能。支持OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain等。🍓",
5174
  "zh-hant": "🧊 開源 LLM-可觀察性平台,為開發人員提供。一鍵集成監控、指標、評估、代理追踪、提示管理、遊樂場等功能。支持 OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain 等。🍓"
5175
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5176
  }
5177
  },
5178
  "Chatbots": {
@@ -19151,6 +19186,27 @@
19151
  "zh-hans": "🍭 一键拥有你自己的ChatGPT+众多AI网页服务 | 一键访问您自己的ChatGPT+多种AI网页服务",
19152
  "zh-hant": "🍭 一鍵擁有你自己的ChatGPT+眾多AI網頁服務 | 一鍵擁有你自己的ChatGPT+眾多AI網頁服務"
19153
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19154
  }
19155
  },
19156
  "Reimplementations": {
@@ -26161,6 +26217,41 @@
26161
  "zh-hans": "400多个LLM的Easy token价格估算。TokenOps。",
26162
  "zh-hant": "400多個LLM的Easy token價格估算。TokenOps。"
26163
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26164
  }
26165
  },
26166
  "Langchain": {
@@ -28648,6 +28739,36 @@
28648
  "zh-hans": "使用LLMs对文本数据集进行标记、清洗和丰富。",
28649
  "zh-hant": "使用LLMs標記、清理和豐富文本數據集。"
28650
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
28651
  }
28652
  },
28653
  "Unity": {
@@ -33059,6 +33180,27 @@
33059
  "zh-hans": "一款由WPF开发的即开即用、即用即走的翻译OCR工具",
33060
  "zh-hant": "一款由WPF/WPF開發的即開即用、即用即走的翻譯、OCR工具"
33061
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33062
  }
33063
  },
33064
  "Others": {
 
5173
  "zh-hans": "🧊 面向开发人员的开源LLM-可观测性平台。一键集成监控、指标、评估、代理追踪、提示管理、沙盒等功能。支持OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain等。🍓",
5174
  "zh-hant": "🧊 開源 LLM-可觀察性平台,為開發人員提供。一鍵集成監控、指標、評估、代理追踪、提示管理、遊樂場等功能。支持 OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain 等。🍓"
5175
  }
5176
+ },
5177
+ "https://github.com/codelion/optillm": {
5178
+ "repository_name": "optillm",
5179
+ "user_name": "codelion",
5180
+ "language": "Python",
5181
+ "license": "Apache License 2.0",
5182
+ "description": "Optimizing inference proxy for LLMs",
5183
+ "topics": [
5184
+ "agent",
5185
+ "agentic-ai",
5186
+ "agentic-framework",
5187
+ "agentic-workflow",
5188
+ "agents",
5189
+ "api-gateway",
5190
+ "chain-of-thought",
5191
+ "genai",
5192
+ "large-language-models",
5193
+ "llm",
5194
+ "llm-inference",
5195
+ "llmapi",
5196
+ "mixture-of-experts",
5197
+ "moa",
5198
+ "monte-carlo-tree-search",
5199
+ "openai",
5200
+ "openai-api",
5201
+ "optimization",
5202
+ "prompt-engineering",
5203
+ "proxy-server"
5204
+ ],
5205
+ "multilingual_descriptions": {
5206
+ "en": "Optimizing inference proxy for LLMs",
5207
+ "ja": "LLMsの推論プロキシの最適化",
5208
+ "zh-hans": "为LLMs优化推理代理",
5209
+ "zh-hant": "為LLMs優化推論代理"
5210
+ }
5211
  }
5212
  },
5213
  "Chatbots": {
 
19186
  "zh-hans": "🍭 一键拥有你自己的ChatGPT+众多AI网页服务 | 一键访问您自己的ChatGPT+多种AI网页服务",
19187
  "zh-hant": "🍭 一鍵擁有你自己的ChatGPT+眾多AI網頁服務 | 一鍵擁有你自己的ChatGPT+眾多AI網頁服務"
19188
  }
19189
+ },
19190
+ "https://github.com/licoy/chatany": {
19191
+ "repository_name": "ChatAny",
19192
+ "user_name": "Licoy",
19193
+ "language": "TypeScript",
19194
+ "license": "MIT License",
19195
+ "description": "🌻 一键拥有你自己的 ChatGPT+众多AI 网页服务 | One click access to your own ChatGPT+Many AI web services",
19196
+ "topics": [
19197
+ "chatgpt",
19198
+ "chatgpt-next-web",
19199
+ "chatgpt-web",
19200
+ "midjourney",
19201
+ "openai",
19202
+ "stable-diffusion"
19203
+ ],
19204
+ "multilingual_descriptions": {
19205
+ "en": "🌻 一键拥有你自己的 ChatGPT+众多AI 网页服务 | One click access to your own ChatGPT+Many AI web services",
19206
+ "ja": "🌻 あなた自身のChatGPT+多くのAIウェブサービスにワンクリックでアクセスできます",
19207
+ "zh-hans": "🌻 一键拥有您自己的ChatGPT+许多AI网页服务",
19208
+ "zh-hant": "🌻 一鍵擁有你自己的 ChatGPT+眾多AI 網頁服務 | 一鍵擁有你自己的 ChatGPT+眾多AI 網頁服務"
19209
+ }
19210
  }
19211
  },
19212
  "Reimplementations": {
 
26217
  "zh-hans": "400多个LLM的Easy token价格估算。TokenOps。",
26218
  "zh-hant": "400多個LLM的Easy token價格估算。TokenOps。"
26219
  }
26220
+ },
26221
+ "https://github.com/ten-framework/ten-agent": {
26222
+ "repository_name": "TEN-Agent",
26223
+ "user_name": "TEN-framework",
26224
+ "language": "Python",
26225
+ "license": "Apache License 2.0",
26226
+ "description": "TEN Agent is the world’s first real-time multimodal agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG capabilities.",
26227
+ "topics": [
26228
+ "agent",
26229
+ "ai",
26230
+ "asr",
26231
+ "cpp",
26232
+ "gemini",
26233
+ "golang",
26234
+ "gpt-4",
26235
+ "gpt-4o",
26236
+ "llm",
26237
+ "low-latency",
26238
+ "multimodal",
26239
+ "nextjs14",
26240
+ "openai",
26241
+ "python",
26242
+ "rag",
26243
+ "real-time",
26244
+ "realtime",
26245
+ "tts",
26246
+ "vision",
26247
+ "voice-assistant"
26248
+ ],
26249
+ "multilingual_descriptions": {
26250
+ "en": "TEN Agent is the world’s first real-time multimodal agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG capabilities.",
26251
+ "ja": "TENエージェントは、世界初のOpenAI Realtime API、RTCと統合されたリアルタイムマルチモーダルエージェントで、天気チェック、ウェブ検索、ビジョン、RAG機能を備えています。",
26252
+ "zh-hans": "TEN Agent是全球第一个集成OpenAI实时API、RTC的实时多模态代理,具有天气查询、网络搜索、视觉和RAG功能。",
26253
+ "zh-hant": "TEN Agent 是全球第一個與 OpenAI 實時 API、RTC 整合的實時多模式代理,具有天氣查詢、網絡搜索、視覺和 RAG 功能。"
26254
+ }
26255
  }
26256
  },
26257
  "Langchain": {
 
28739
  "zh-hans": "使用LLMs对文本数据集进行标记、清洗和丰富。",
28740
  "zh-hant": "使用LLMs標記、清理和豐富文本數據集。"
28741
  }
28742
+ },
28743
+ "https://github.com/agentops-ai/agentops": {
28744
+ "repository_name": "agentops",
28745
+ "user_name": "AgentOps-AI",
28746
+ "language": "Python",
28747
+ "license": "MIT License",
28748
+ "description": "Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen",
28749
+ "topics": [
28750
+ "agent",
28751
+ "agentops",
28752
+ "ai",
28753
+ "anthropic",
28754
+ "autogen",
28755
+ "cost-estimation",
28756
+ "crewai",
28757
+ "evals",
28758
+ "evaluation-metrics",
28759
+ "groq",
28760
+ "langchain",
28761
+ "llm",
28762
+ "mistral",
28763
+ "ollama",
28764
+ "openai"
28765
+ ],
28766
+ "multilingual_descriptions": {
28767
+ "en": "Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen",
28768
+ "ja": "AIエージェントの監視、LLMコストの追跡、ベンチマーキングなどのためのPython SDK。CrewAI、Langchain、AutogenなどのほとんどのLLMやエージェントフレームワークと統合されています。",
28769
+ "zh-hans": "Python SDK用于AI代理监控,LLM成本跟踪,基准测试等。与大多数LLM和代理框架集成,如CrewAI,Langchain和Autogen。",
28770
+ "zh-hant": "Python SDK用於AI代理監控,LLM成本追踪,基準測試等。與大多數LLM和代理框架集成,如CrewAI,Langchain和Autogen。"
28771
+ }
28772
  }
28773
  },
28774
  "Unity": {
 
33180
  "zh-hans": "一款由WPF开发的即开即用、即用即走的翻译OCR工具",
33181
  "zh-hant": "一款由WPF/WPF開發的即開即用、即用即走的翻譯、OCR工具"
33182
  }
33183
+ },
33184
+ "https://github.com/qdrant/fastembed": {
33185
+ "repository_name": "fastembed",
33186
+ "user_name": "qdrant",
33187
+ "language": "Python",
33188
+ "license": "Apache License 2.0",
33189
+ "description": "Fast, Accurate, Lightweight Python library to make State of the Art Embedding",
33190
+ "topics": [
33191
+ "embeddings",
33192
+ "openai",
33193
+ "rag",
33194
+ "retrieval",
33195
+ "retrieval-augmented-generation",
33196
+ "vector-search"
33197
+ ],
33198
+ "multilingual_descriptions": {
33199
+ "en": "Fast, Accurate, Lightweight Python library to make State of the Art Embedding",
33200
+ "ja": "高速で正確で軽量なPythonライブラリを使用して、最先端の埋め込みを作成します。",
33201
+ "zh-hans": "快速、准确、轻量级的Python库,用于生成最先进的嵌入。",
33202
+ "zh-hant": "快速、準確、輕量級的Python庫,用於製作最先進的嵌入。"
33203
+ }
33204
  }
33205
  },
33206
  "Others": {