Zed llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/zed/llms-txt) # Zed llms.txt Browse Zed documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools. zed.dev/llms.txt [Raw llms.txt](https://zed.dev/llms.txt) [Raw llms-full.txt](https://zed.dev/llms-full.txt) Copy Markdown [](https://zed.dev/llms.txt) llms.txt Platforms Key Features All Features Guide Products & Services Documentation Technical Architecture Community & Support Company ## What is Zed's llms.txt? Zed publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Zed offers and where to find details. Issues Spec 8 Sections 0 Links 7.8 KB Size ~2.0k Tokens Sections: Platforms · Key Features · All Features Guide · Products & Services · Documentation · Technical Architecture · and 2 more ## Add Zed Docs to Your AI Assistant Select your tool to see how to add Zed's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://zed.dev/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about Zed Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 12 errors ## Frequently Asked Questions Where is Zed's llms.txt file? Zed publishes its llms.txt at https://zed.dev/llms.txt. This file provides a structured, markdown-formatted index of Zed's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use Zed's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Zed's documentation so it can provide better code suggestions and answers about Zed. What does Zed's llms.txt contain? Zed's llms.txt contains 8 sections and 0 documentation links in 7.8 KB (~2.0k tokens). Key sections include Platforms, Key Features, All Features Guide, Products & Services, Documentation, Technical Architecture. How many tokens does Zed's llms.txt use? The concise llms.txt index is approximately 2.0k tokens (7.8 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. What is Zed? A high-performance, multiplayer code editor from the creators of Atom and Tree-sitter. Zed is a next-generation editor built in Rust with GPU acceleration for lightning-fast editing, real-time collaboration, and AI-powered assistance. The core editor is open source and developed in public.. Zed's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Zed. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator. ## Browse More llms.txt Files [https://qdrant.tech/ llms.txt Qdrant is a cutting-edge platform focused on delivering exceptional performance and efficiency in vector similarity search. As a robust vector database, it specializes in managing, searching, and retrieving high-dimensional vector data, essential for enhancing AI applications, machine learning, and modern search engines. With a suite of powerful features such as state-of-the-art hybrid search capabilities, retrieval-augmented generation (RAG) applications, and dense and sparse vector support, Qdrant stands out as an industry leader. Its offerings include managed cloud services, enabling users to harness the robust functionality of Qdrant without the burden of maintaining infrastructure. The platform supports advanced data security measures and seamless integrations with popular platforms and frameworks, catering to diverse data handling and analytic needs. Additionally, Qdrant offers comprehensive solutions for complex searching requirements through its innovative Query API and multivector representations, allowing for precise matching and enhanced retrieval quality. With its commitment to open-source principles and continuous innovation, Qdrant tailors solutions to meet both small-scale projects and enterprise-level demands efficiently, helping organizations unlock profound insights from their unstructured data and optimize their AI capabilities.](https://mdream.dev/llms-txt/zed/llms-txt/qdrant) [YugabyteDB Documentation Official documentation for YugabyteDB: The open source distributed PostgreSQL database. PostgreSQL-compatible (v15 wire protocol), horizontally scalable, built-in resilience and automatic failover. Apache 2.0 licensed. 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It automatically captures conversations, extracts meaningful facts, and makes them searchable across entities, processes, and sessions.](https://mdream.dev/llms-txt/zed/llms-txt/memori) [View all 99 projects ](https://mdream.dev/llms-txt/zed/llms-txt) ## Related Tools [

llms.txt Generator

Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/zed/tools/llms-txt/generator) [

llms.txt Validator

Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/zed/tools/llms-txt/validator) © 2026 [Harlan Wilton](https://github.com/harlan-zw) · [MIT](https://github.com/harlan-zw/mdream/blob/main/license) [GitHub](https://github.com/harlan-zw/mdream) [Discord](https://discord.com/invite/275MBUBvgP)