Event-sourced context store for Claude Code sessions. Captures every hook event during LLM sessions so nothing is lost when context compacts, sessions end, or conversations are cleared. Write side ...

The cost, speed, and governance of moving petabytes of data across hybrid and multicloud environments is becoming a challenge for enterprises looking to harness the benefits of AI Continue Reading ...

When we send a prompt to a Large Language Model (LLM), we get a response. But we have no idea how it arrived at that response. If the output is wrong, biased, or nonsensical, we can't tell if the ...