Show HN: Ktx – Open-source executable context layer for data agents (github.com)

Ktx has been introduced as an open-source executable context layer designed to enhance the interaction of AI agents with data warehouses. Unlike general-purpose agents that often misinterpret data metrics and require constant manual updates, ktx automatically learns from company knowledge, queries databases, and maintains an organized semantic layer that adapts to evolving business contexts. This includes ingestion of company documentation, mapping data assets, and establishing reusable metrics that ensure consistent queries across different AI agents without reinventing the SQL wheel. Significantly, ktx addresses key limitations in conventional semantic layers by automating context building, resolving complex data relationships like chasm and fan traps, and providing integration tools tailored for various databases such as PostgreSQL, Snowflake, and BigQuery. It runs locally, promising a secure environment where no data is shared with external services, while also allowing easy setup and integration with popular AI models like Claude and Codex. This innovative approach makes ktx a valuable asset for organizations looking to streamline their data operations and leverage AI capabilities more effectively.