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kgai is an open-source Claude Code plugin: a local-first, immutable knowledge graph of your team's engineering decisions. Your agent records the decisions behind the code (what changed, why, and the dead ends you ruled out), recalls the relevant ones before it edits an area, and new decisions supersede old ones so nothing is overwritten. Written in Go, MIT licensed. Team sync is opt-in over an S3 bucket you own.
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Python Exampleskgai.dev's answer
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.
kgai.dev's answer
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.
kgai.dev's answer
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.
kgai.dev's answer
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.
kgai.dev's answer
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.
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