{"repo":"TarsLab/obsidian-tars","free":true,"listed":false,"github":"https://github.com/TarsLab/obsidian-tars","clone":"git clone https://github.com/TarsLab/obsidian-tars.git","description":"Obsidian tars plugin that supports text generation based on tag suggestions, using services like DeepSeek, Claude, OpenAI, OpenRouter, SiliconFlow, Gemini, Ollama, Kimi, Doubao, Qwen, Zhipu, QianFan & more.","language":"TypeScript","stars":321,"topics":["kimi","obsidian","zhipuai","doubao","qianfan","qwen","deepseek","claude","openai","ollama"],"license":"MIT","category":"ai-agents","readme_excerpt":"English 中文 Introduction Tars is an Obsidian plugin that supports text generation based on tag suggestions, using services like Claude, OpenAI, Gemini, 🔥DeepSeek, 🔥SiliconFlow, 🔥OpenRouter, Ollama, Kimi, Doubao, Qwen, Zhipu, QianFan & more. The name Tars comes from the robot Tars in the movie \"Interstellar\". The plugin supports both desktop and mobile devices. 🌟 3.1 Multimodal 🎨 Image Generation - GPT-Image-1 : Supports image generation and editing functions 👁️ Visual Understanding - Image Analysis : Claude, OpenRouter, SiliconFlow, etc. can interpret images - Document Interpretation : Claude and OpenRouter, etc. support PDF file analysis ⚠️ Note : Only embedded files (e.g. ![[example.jpg]] ) are supported. External URL links will not work. Major Updates in Version 2.x - 🔥 Added tag commands, all tags are available in the command list. Tag commands insert the appropriate tags based on selected sections or the section at cursor position. Quick response: Move the cursor to the line (or select multiple paragraphs), choose an assistant tag (like #DeepSeek : ) from the command list to generate a response. - 🔥 Custom prompt templates, run the \"Load template file\" command when using for the first time. - 🔥 Status bar that displays real-time information about character count, rounds, and time spent. - 🔥 Tag suggestions with redesigned trigger logic that better aligns with software design principles and significantly improved performance. Type # , use Obsidian's native tag co","default_branch":null,"files":null,"tree":[],"storefront":"/r/TarsLab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/TarsLab/obsidian-tars/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}