The context layer for data agents
Quickstart · CLI Reference · Agent Setup · Slack
ktx is a self-improving context layer that teaches agents how to query your warehouse accurately - from approved metric definitions, joinable columns, and business knowledge it builds and maintains for you.
Note Run ktx with your own LLM API keys or a Claude Pro/Max subscription. No extra usage billing from ktx.
Why ktx
General-purpose agents struggle on data tasks. They re-explore your warehouse on every question, invent their own metric logic, and return numbers that don't match approved definitions.
Traditional semantic layers don't fix this. They demand constant manual upkeep and don't absorb the rest of your company's knowledge.
ktx does both, automatically:
Learns from company knowledge. Ingests wiki content, organizes it, removes duplicates, and flags contradictions for human review.
Ingests wiki content, organizes it, removes duplicates, and flags contradictions for human review. Maps the data stack. Samples tables, captures metadata and usage patterns, detects joinable columns, and annotates sources so agents write better queries.
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