Show HN: A human-curated, CLI-driven Context Layer for AI agents (ctxlayer.dev)

A new tool called Context Layer has been launched, designed to enhance AI-assisted development by enabling human-curated context management for AI agents. This innovative solution addresses a common problem in AI interactions: the lack of persistent memory and effective context utilization across different sessions, which can lead to redundancies and poor performance, also known as "context rot." By allowing developers to organize context in a structured directory format, Context Layer facilitates the incorporation of curated domain intelligence without cluttering code repositories. The significance of Context Layer for the AI/ML community lies in its human-in-the-loop approach, empowering engineers to treat context as a vital resource while maintaining clean separation from the core domain code. The tool supports agent-agnostic use, enabling it to work with various AI models, including Cursor and Claude. Developers can create, manage, and reference context easily via a command-line interface (CLI), effectively improving the efficiency and effectiveness of AI interactions in diverse projects. With its ability to store context on local systems or GitHub, this tool promises to streamline the development process and enhance the overall performance of AI applications.