context7

Context7 addresses the need for up-to-date code documentation specifically tailored for large language models (LLMs) and AI code editors. This is crucial for ML and AI teams, as clear documentation enhances collaboration and accelerates development cycles. The repository has gained significant traction, boasting over 45,000 stars, indicating its maturity and community support. It is a production-ready solution, ideal for teams looking to implement robust documentation practices. However, it may not be suitable for smaller projects or teams that require highly customised documentation solutions, as the focus is on standardisation and scalability.

Context7 is a strong choice when teams need a reliable open source tool for engineering teams that prioritises documentation for LLMs and AI applications. Teams should consider alternatives if they require a more tailored approach or if their projects do not heavily involve LLMs.

This repository is particularly useful for machine learning engineers, AI developers, and technical writers who focus on documentation. It typically integrates into products or systems that involve AI-driven applications, enhancing the overall development workflow.

Latest commit: 2026-02-13. Over the past 96 days, this repository gained 8.9k stars (+24.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.