Branched Multi-Model Chat and Memory Layer
SuckerDevtestudo · reddit · 2026-07-14
Arguing that linear chat interfaces don't match human thought processes, the author built a branched chat system: a single prompt can be sent to multiple models simultaneously, with results viewed side-by-side. The best parts can then be merged back into the main thread, eliminating the need to constantly open new chats and copy-paste context.
They also added a memory layer allowing confirmed information (preferences, project context, etc.) to persist across sessions, reducing repetitive explanations. Currently a desktop app, it defaults to local storage with optional cloud sync. The author is seeking feedback on managing context across models and agents.
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