Kage gives teams shared repo memory for AI coding agents. When an agent discovers a bug, workaround, test rule, or design decision, Kage saves it as a reviewable packet and links it to files, symbols, and tests. The next teammate or agent recalls that context before repeating the same investigation or breaking the same thing again.
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.
