{"repo":"relston/mark","free":true,"listed":false,"github":"https://github.com/relston/mark","clone":"git clone https://github.com/relston/mark.git","description":"Interact with LLMs using markdown and images","language":"Python","stars":55,"topics":["cli","llm","markdown","python","python3"],"license":"MIT","category":"ai-agents","readme_excerpt":"Mark Mark lets you seamlessly use markdown, images and links to interact with LLMs \"Markdown is still the best format for feeding into language models\" - Simon Willison (co-creator of Django) Why Markdown + LLMs? For a full rundown of the benefits and use cases, check out Introducing 'Mark', a Markdown CLI tool for LLMs Key Features - Interact with LLMs using Markdown - Visual recognition of markdown image references via multi-modal LLMs - Local and remote links are scraped for context - LLM responses appended directly into Markdown files - stdin and stdout support for piping - Support for Image Generation Example This allows you to carry on a conversation directly in the markdown file - or simply integrate the response back into the document you're working on. This is a powerful, flexible and natural way to interact with LLMs that unlocks countless use cases. mark 's focus on explicitly using Markdown as both a prompt and response medium for LLMs presents a unique approach. By blending interactive, version-controlled Markdown documents with LLM responses in a CLI tool offers an innovative workflow for those looking to integrate LLM interactions into their development and documentation processes. Install the Mark CLI Browser Setup (Required for Web Scraping) Mark uses Playwright browsers to scrape web links. After installing mark, you need to install the browser binaries: Or manually: Note: This only needs to be done once after installation. The browser binaries are downloade","default_branch":null,"files":null,"tree":[],"storefront":"/r/relston","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/relston/mark/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."}