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Baisis is an AI app built around focused, grounded memory. Instead of using one general chatbot for everything, you create separate bases for specific parts of your life or work. Each base has its own context, memory, documents, notes, and chats, so the AI stays focused on what actually matters instead of pulling from one giant, messy memory pool. The core problem Baisis is solving is that popular LLMs often break in two places: focus — they drift away from the exact context of the task personalization — they remember random fragments, not the right things Baisis fixes that by giving users a narrower AI environment where memory is more intentional and structured.
That sounds interesting. How is it different from an AI agent?