kgai.dev Reviews and Details

Questions & Answers

1. Which are the primary technologies used for building kgai.dev?

   Go. An embedded graph database (Kuzu). An event-sourced, append-only decision log. Distributed as a Claude Code plugin (hooks, skills, and slash commands). Optional team sync over S3.

2. What makes kgai.dev unique?

   kgai stores engineering decisions as an immutable graph, not editable notes. When a decision is reversed, the new one supersedes the old, and the old decision stays in history together with the reason it died. Dead ends are preserved on purpose. Most memory tools overwrite or summarize, which quietly deletes exactly the context you need months later.

3. Why should a person choose kgai.dev over its competitors?

   Three things competitors usually don't combine: immutability with first-class supersession (nothing is overwritten), preserved dead ends (why an approach was rejected, so the AI stops re-proposing it), and local-first design (your code and decisions never leave your machine, team sync is opt-in over storage you own). It's MIT open source, not a hosted black box.

4. How would you describe the primary audience of kgai.dev?

   Software teams building with AI coding agents, especially teams using Claude Code where the reasoning behind the code lives in people's heads and gets lost between sessions and teammates.

5. What's the story behind kgai.dev?

   AI coding agents kept confidently re-proposing approaches the team had already tried and rejected. The decision existed, but nobody remembered why, and nothing in the repo recorded it. kgai was built so the codebase and the AI share a durable memory of the decisions behind the code, including the ones that were reversed and the dead ends.