taishi-i commited on
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87ebb6c
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1 Parent(s): aa57dfe

update repos

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  1. awesome-ChatGPT-repositories.json +207 -0
awesome-ChatGPT-repositories.json CHANGED
@@ -15744,6 +15744,62 @@
15744
  "zh-hans": "生产就绪的AI聊天模板。从这里开始,让它成为你自己的。原名Sparka AI",
15745
  "zh-hant": "生產就緒的AI聊天模板。從這裡開始,讓它成為您自己的。原名Sparka AI"
15746
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15747
  }
15748
  },
15749
  "Browser-extensions": {
@@ -26079,6 +26135,40 @@
26079
  "zh-hans": "多功能的REPL/CLI管理器。具有并行会话、缓冲附件和跨语言支持的多种发送模式。Aider和OpenAI Codex的AI CLI集成。选择器支持、项目级配置、代码单元格文本对象和本地点重复。",
26080
  "zh-hant": "多功能的 REPL/CLI 管理器。具有并行会话、缓冲附件和跨语言支持的多种发送模式。Aider 和 OpenAI Codex 的 AI CLI 集成。选择器支持、项目级配置、代码单元格文本对象和本地点重复。"
26081
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26082
  }
26083
  },
26084
  "Reimplementations": {
@@ -36220,6 +36310,39 @@
36220
  "zh-hans": "智能LLM路由器-推理成本节省78%。30多种模型,一个钱包,x402微支付。",
36221
  "zh-hant": "智能LLM路由器-推理成本節省78%。30多個模型,一個錢包,x402微支付。"
36222
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
36223
  }
36224
  },
36225
  "Langchain": {
@@ -40507,6 +40630,76 @@
40507
  "zh-hans": "使用Ollama、OpenAI(兼容)、Gemini、Mistral、Poe或OpenRouter翻译完整的书籍和文件。保留格式。从您离开的地方恢复。没有文件大小限制。",
40508
  "zh-hant": "使用Ollama、OpenAI(兼容)、Gemini、Mistral、Poe或OpenRouter翻譯完整的書籍和文件。保留格式。從您離開的地方繼續。沒有文件大小限制。"
40509
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
40510
  }
40511
  },
40512
  "Unity": {
@@ -55722,6 +55915,20 @@
55722
  "zh-hans": "一站式团队账号管理",
55723
  "zh-hant": "一站式Team帳號管理"
55724
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
55725
  }
55726
  }
55727
  }
 
15744
  "zh-hans": "生产就绪的AI聊天模板。从这里开始,让它成为你自己的。原名Sparka AI",
15745
  "zh-hant": "生產就緒的AI聊天模板。從這裡開始,讓它成為您自己的。原名Sparka AI"
15746
  }
15747
+ },
15748
+ "https://github.com/rtgs2017/nagaagent": {
15749
+ "repository_name": "NagaAgent",
15750
+ "user_name": "RTGS2017",
15751
+ "language": "Python",
15752
+ "license": "Other",
15753
+ "description": "A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, multi-agent collaboration, and seamless tool integration.",
15754
+ "topics": [
15755
+ "agentic-ai",
15756
+ "agents",
15757
+ "mcp",
15758
+ "mcp-client",
15759
+ "openai",
15760
+ "openclaw",
15761
+ "toolcall"
15762
+ ],
15763
+ "multilingual_descriptions": {
15764
+ "en": "A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, multi-agent collaboration, and seamless tool integration.",
15765
+ "ja": "個人アシスタント向けのシンプルでパワフルなエージェントフレームワーク。知的なインタラクション、マルチエージェントの協力、シームレスなツールの統合を可能にするよう設計されています。",
15766
+ "zh-hans": "一个简单而强大的个人助理代理框架,旨在实现智能互动、多代理协作和无缝工具集成。",
15767
+ "zh-hant": "一個簡單但功能強大的個人助理代理框架,旨在實現智能互動、多代理協作和無縫工具集成。"
15768
+ }
15769
+ },
15770
+ "https://github.com/wodsuz/easyapplyjobsbot": {
15771
+ "repository_name": "EasyApplyJobsBot",
15772
+ "user_name": "wodsuz",
15773
+ "language": "Python",
15774
+ "license": "Other",
15775
+ "description": "A python bot to automatically apply all Linkedin,Glassdoor, etc Easy Apply jobs based on your preferences. Auto login, auto fill additional questions, apply automatically!",
15776
+ "topics": [
15777
+ "ai",
15778
+ "apply-jobs",
15779
+ "automated",
15780
+ "automation",
15781
+ "bot",
15782
+ "challenge",
15783
+ "chatgpt",
15784
+ "find-jobs",
15785
+ "glassdoor",
15786
+ "glassdoor-scraper",
15787
+ "indeed",
15788
+ "job",
15789
+ "jobs",
15790
+ "linkedin",
15791
+ "list-jobs",
15792
+ "python3",
15793
+ "selenium",
15794
+ "webscraping",
15795
+ "ziprecruiter"
15796
+ ],
15797
+ "multilingual_descriptions": {
15798
+ "en": "A python bot to automatically apply all Linkedin,Glassdoor, etc Easy Apply jobs based on your preferences. Auto login, auto fill additional questions, apply automatically!",
15799
+ "ja": "あなたの好みに基づいてLinkedin、GlassdoorなどのEasy Applyの仕事を自動的に申し込むPythonボット。自動ログイン、追加の質問を自動的に入力し、自動的に申し込みます!",
15800
+ "zh-hans": "一个Python机器人,可以根据您的偏好自动申请所有Linkedin、Glassdoor等Easy Apply工作。自动登录,自动填写额外问题,自动申请!",
15801
+ "zh-hant": "一個Python機器人,可以根據您的偏好自動申請所有Linkedin、Glassdoor等Easy Apply工作。自動登錄,自動填寫額外問題,自動申請!"
15802
+ }
15803
  }
15804
  },
15805
  "Browser-extensions": {
 
26135
  "zh-hans": "多功能的REPL/CLI管理器。具有并行会话、缓冲附件和跨语言支持的多种发送模式。Aider和OpenAI Codex的AI CLI集成。选择器支持、项目级配置、代码单元格文本对象和本地点重复。",
26136
  "zh-hant": "多功能的 REPL/CLI 管理器。具有并行会话、缓冲附件和跨语言支持的多种发送模式。Aider 和 OpenAI Codex 的 AI CLI 集成。选择器支持、项目级配置、代码单元格文本对象和本地点重复。"
26137
  }
26138
+ },
26139
+ "https://github.com/eat-pray-ai/yutu": {
26140
+ "repository_name": "yutu",
26141
+ "user_name": "eat-pray-ai",
26142
+ "language": "Go",
26143
+ "license": "Apache License 2.0",
26144
+ "description": "A fully functional MCP server and CLI for YouTube",
26145
+ "topics": [
26146
+ "agent",
26147
+ "ai",
26148
+ "automation",
26149
+ "bot",
26150
+ "chatgpt",
26151
+ "claude",
26152
+ "cli",
26153
+ "cobra",
26154
+ "docker",
26155
+ "gemini",
26156
+ "golang",
26157
+ "linux",
26158
+ "macos",
26159
+ "mcp",
26160
+ "shorts",
26161
+ "skills",
26162
+ "video",
26163
+ "windows",
26164
+ "youtube"
26165
+ ],
26166
+ "multilingual_descriptions": {
26167
+ "en": "A fully functional MCP server and CLI for YouTube",
26168
+ "ja": "YouTubeのための完全に機能するMCPサーバーとCLI",
26169
+ "zh-hans": "一个完全功能的MCP服务器和YouTube的CLI",
26170
+ "zh-hant": "一個完全功能的MCP伺服器和YouTube的CLI"
26171
+ }
26172
  }
26173
  },
26174
  "Reimplementations": {
 
36310
  "zh-hans": "智能LLM路由器-推理成本节省78%。30多种模型,一个钱包,x402微支付。",
36311
  "zh-hant": "智能LLM路由器-推理成本節省78%。30多個模型,一個錢包,x402微支付。"
36312
  }
36313
+ },
36314
+ "https://github.com/nodetool-ai/nodetool": {
36315
+ "repository_name": "nodetool",
36316
+ "user_name": "nodetool-ai",
36317
+ "language": "TypeScript",
36318
+ "license": "GNU Affero General Public License v3.0",
36319
+ "description": "Visual Builder for AI Workflows and Agents",
36320
+ "topics": [
36321
+ "agents",
36322
+ "ai",
36323
+ "anthropic",
36324
+ "automation",
36325
+ "comfyui",
36326
+ "flux",
36327
+ "gemma3",
36328
+ "gpt-oss",
36329
+ "huggingface",
36330
+ "llamacpp",
36331
+ "llm",
36332
+ "local-first",
36333
+ "mlx",
36334
+ "ollama",
36335
+ "openai",
36336
+ "qwen-image",
36337
+ "qwen3",
36338
+ "stable-diffusion"
36339
+ ],
36340
+ "multilingual_descriptions": {
36341
+ "en": "Visual Builder for AI Workflows and Agents",
36342
+ "ja": "AIワークフローとエージェントのためのビジュアルビルダー",
36343
+ "zh-hans": "AI工作流程和代理的可视化构建器",
36344
+ "zh-hant": "視覺化建構工具,用於AI工作流程和代理程式"
36345
+ }
36346
  }
36347
  },
36348
  "Langchain": {
 
40630
  "zh-hans": "使用Ollama、OpenAI(兼容)、Gemini、Mistral、Poe或OpenRouter翻译完整的书籍和文件。保留格式。从您离开的地方恢复。没有文件大小限制。",
40631
  "zh-hant": "使用Ollama、OpenAI(兼容)、Gemini、Mistral、Poe或OpenRouter翻譯完整的書籍和文件。保留格式。從您離開的地方繼續。沒有文件大小限制。"
40632
  }
40633
+ },
40634
+ "https://github.com/plastic-labs/honcho": {
40635
+ "repository_name": "honcho",
40636
+ "user_name": "plastic-labs",
40637
+ "language": "Python",
40638
+ "license": "GNU Affero General Public License v3.0",
40639
+ "description": " Memory library for building stateful agents",
40640
+ "topics": [
40641
+ "agent-memory",
40642
+ "ai",
40643
+ "ai-agents",
40644
+ "ai-memory",
40645
+ "anthropic",
40646
+ "context-engineering",
40647
+ "continual-learning",
40648
+ "embeddings",
40649
+ "fastapi",
40650
+ "langchain",
40651
+ "llm",
40652
+ "long-term-memory",
40653
+ "memory",
40654
+ "openai",
40655
+ "personalization",
40656
+ "python",
40657
+ "rag",
40658
+ "state-management",
40659
+ "typescript",
40660
+ "vector-database"
40661
+ ],
40662
+ "multilingual_descriptions": {
40663
+ "en": "Memory library for building stateful agents",
40664
+ "ja": "状態を持つエージェントを構築するためのメモリライブラリ",
40665
+ "zh-hans": "用于构建有状态代理的内存库",
40666
+ "zh-hant": "建立有狀態代理的記憶庫"
40667
+ }
40668
+ },
40669
+ "https://github.com/waybarrios/vllm-mlx": {
40670
+ "repository_name": "vllm-mlx",
40671
+ "user_name": "waybarrios",
40672
+ "language": "Python",
40673
+ "license": null,
40674
+ "description": "OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX backend, 400+ tok/s. Works with Claude Code.",
40675
+ "topics": [
40676
+ "anthropic",
40677
+ "apple-silicon",
40678
+ "audio-processing",
40679
+ "claude-code",
40680
+ "computer-vision",
40681
+ "image-understanding",
40682
+ "inference",
40683
+ "llm",
40684
+ "machine-learning",
40685
+ "macos",
40686
+ "mllm",
40687
+ "mlx",
40688
+ "multimodal-ai",
40689
+ "speech-to-text",
40690
+ "stt",
40691
+ "text-to-speech",
40692
+ "tts",
40693
+ "video-understanding",
40694
+ "vision-language-model",
40695
+ "vllm"
40696
+ ],
40697
+ "multilingual_descriptions": {
40698
+ "en": "OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX backend, 400+ tok/s. Works with Claude Code.",
40699
+ "ja": "OpenAIとAnthropic互換のApple Silicon用サーバー。LLMsとビジョン言語モデル(Llama、Qwen-VL、LLaVA)を連続バッチ処理、MCPツール呼び出し、およびマルチモーダルサポートで実行します。ネイティブMLXバックエンド、400以上のトーク/秒。Claude Codeと連携します。",
40700
+ "zh-hans": "OpenAI和Anthropic兼容的苹果硅服务器。运行LLMs和视觉语言模型(Llama,Qwen-VL,LLaVA),支持连续批处理,MCP工具调用和多模态支持。本地MLX后端,每秒400个令牌。与Claude Code配合使用。",
40701
+ "zh-hant": "OpenAI和Anthropic兼容的Apple Silicon服务器。运行LLMs和视觉语言模型(Llama,Qwen-VL,LLaVA),支持连续批处理,MCP工具调用和多模态支持。本地MLX后端,每秒400个令牌。与Claude Code配合使用。"
40702
+ }
40703
  }
40704
  },
40705
  "Unity": {
 
55915
  "zh-hans": "一站式团队账号管理",
55916
  "zh-hant": "一站式Team帳號管理"
55917
  }
55918
+ },
55919
+ "https://github.com/anarkh-lee/universal-db-mcp": {
55920
+ "repository_name": "universal-db-mcp",
55921
+ "user_name": "Anarkh-Lee",
55922
+ "language": "TypeScript",
55923
+ "license": "MIT License",
55924
+ "description": "通用数据库 MCP 连接器:支持 MySQL、PostgreSQL、Oracle、MongoDB 等 17 种数据库,支持 Claude Desktop、Cursor、Windsurf、VS Code、ChatGPT 等 50+ 平台,用自然语言查询和分析数据",
55925
+ "topics": [],
55926
+ "multilingual_descriptions": {
55927
+ "en": "Universal database MCP connector: supports 17 types of databases including MySQL, PostgreSQL, Oracle, MongoDB, etc., supports 50+ platforms such as Claude Desktop, Cursor, Windsurf, VS Code, ChatGPT, etc., for querying and analyzing data in natural language.",
55928
+ "ja": "汎用データベースMCPコネクタ:MySQL、PostgreSQL、Oracle、MongoDBなど17種類のデータベースをサポートし、Claude Desktop、Cursor、Windsurf、VS Code、ChatGPTなど50以上のプラットフォームをサポートし、自然言語でデータをクエリおよび分析します。",
55929
+ "zh-hans": "通用数据库 MCP 连接器:支持 MySQL、PostgreSQL、Oracle、MongoDB 等 17 种数据库,支持 Claude Desktop、Cursor、Windsurf、VS Code、ChatGPT 等 50+ 平台,用自然语言查询和分析数据。",
55930
+ "zh-hant": "通用數據庫 MCP 連接器:支援 MySQL、PostgreSQL、Oracle、MongoDB 等 17 種數據庫,支援 Claude Desktop、Cursor、Windsurf、VS Code、ChatGPT 等 50+ 平台,用自然語言查詢和分析數據"
55931
+ }
55932
  }
55933
  }
55934
  }