AI chatbots lose context across sessions and degrade in long conversations

AI assistants like ChatGPT and Claude have no persistent memory across sessions and degrade within long ones—models get 'tainted' by early prompt mistakes, forget prior decisions, and force users to re-explain their full situation from scratch each time. This frustrates developers, power users, and knowledge workers who rely on continuity for complex, ongoing projects. Current tools offer no structured way to search, branch, or annotate conversation history, and built-in memory features are opaque and unreliable. Users resort to manually copy-pasting context, maintaining external notes, or building homebrew memory harnesses—none of which scale. The linear, session-bound chat format is fundamentally mismatched with long-running, multi-session work.