Kage is git-native, verified memory for your coding agents. Capture a learning once and the whole team plus every agent recalls it next time it's relevant — grounded in your real code, stored as git-tracked JSON reviewed in PRs. Hallucinated citations are rejected on write; stale memory is withheld on recall. No account, no cloud. Try it: npx -y @kage-core/kage-graph-mcp install — or book a 30-min demo on your repo at kage-core.com/demo
https://kage-core.github.io/Kage/ I built Kage because every AI coding session was starting the exact same way:
Me: Can you fix this? AI: Sure. What is this repo? Me: I explained this yesterday. AI: New context window, who dis?
The bigger problem isn't just one agent forgetting. It's that every teammate and every coding agent has to continuously rediscover the same repo lore: structure, commands, past bugs, architectural decisions, gotchas, and why certain files even exist.
