Building Reliable Shared Memory for AI Agents With Git, Hybrid Search, and Temporal Retrieval
I work with Claude Code, OpenAI's Codex coding agent, and Google's Antigravity IDE. I wanted a solution found in one session to stay found, so the next session wouldn't have to dig it up all over again. I'm the author of KYB — Know Your Business, a shared knowledge base I built with these agents for that purpose. When I say "we" below, I mean the agents and me.
Saving an entry turned out to be only the beginning. First, an agent could miss an entry because of the language of its query. Then Antigravity skipped an installed guide because of a YAML error. And in October, a check showed that "as of a date" search could return text that had already been replaced. Each time, the data was already in the base; what broke was the next step between writing it down and getting it back to an...
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