HitKeep llms.txt

HitKeep publishes its llms.txt at https://hitkeep.com/llms.txt. This file provides a structured, markdown-formatted index of HitKeep's documentation that AI systems can consume to understand the project's APIs, guides, and references.

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 HitKeep's documentation so it can provide better code suggestions and answers about HitKeep.

HitKeep's llms.txt contains 16 sections and 142 documentation links in 34.2 KB (~8.8k tokens). Key sections include Agent Discovery, Start Here, Install And Operate, Track Data, Analyze And Share, Migrate And Integrate.

The concise llms.txt index is approximately 8.8k tokens (34.2 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.

HitKeep is a privacy-first web analytics platform built on the principle that your data belongs to you. You can self-host it as a single Go binary with zero external service dependencies, or run it in HitKeep Cloud in EU or US regions. Data lives in DuckDB and can be exported at any time in open formats (JSON, CSV, Parquet). Current Linux release binaries target a modern glibc baseline (`glibc 2.34+`).. HitKeep'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 HitKeep.

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.