We built a self-improving AI memory backend that prevents “fresh start” chats by continuously capturing a user’s goals, preferences, progress, and browsing context, then distilling it into clean long-term memories and reusable “what worked” patterns. When the user starts a new chat (ChatGPT/Gemini/Claude) or the conversation stalls, the system generates a compact context snapshot file and attaches it so the next model can continue instantly—while filtering unsafe requests, deduplicating repeated attempts, and only learning from validated successful outcomes.
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