Your conversations with ChatGPT, Claude, and Gemini are scattered across tabs and lost to history. Unibase Memory captures them into a single, private, searchable memory that you own — encrypted end-to-end to your own wallet and optionally synced to decentralized storage, so your memory follows you, not a platform.
• Capture everywhere — Automatically save your ChatGPT, Claude, and Gemini conversations as you chat, or bulk-import your existing chat history.
• Web clipper & Library — Right-click any web page or selection to save it into your knowledge base. Saved pages read as clean, single-column documents.
• Ask your memory — Ask questions in plain language and get answers grounded in your own past chats. Retrieval runs entirely on your device — your memory never leaves your machine to be searched.
• Send to any chat — Insert the right memory (or a single message) straight into your current ChatGPT, Claude, or Gemini conversation — no copy-pasting.
• Search, tag & organize — Full-text search, custom tags, starred items, and a Trash you can restore from. Filter instantly by platform or tag.
• Yours, encrypted — Everything is encrypted end-to-end with a key derived from your wallet. Sync to Membase (decentralized storage) and view your memory on Unibase Explorer.
Unibase Memory helps people preserve and reuse valuable context across different AI tools and webpages. Common use cases include:

Hi, Zoe here, Ecosystem Lead at Unibase. While working on product launches and ecosystem campaigns, I constantly move between ChatGPT and Claude. Every time I switched tools, I had to re-explain the same product positioning, partner background, campaign decisions, and previous feedback before the AI could give me a useful answer. We built Unibase Memory to give people one private memory across the AI tools they already use. With the Chrome extension, you can: * Import conversations from ChatGPT, Claude, and Gemini * Save useful webpages alongside your AI chats * Search, tag, star, and organize your saved memory * Select the relevant context and send it directly into a new AI conversation * Keep your data local by default, with optional encrypted sync to Membase The product is live today and currently free to use. One decision we made deliberately was not to send everything into every conversation automatically. You choose which memories to use and when to use them. We think a cross-AI memory product should give users control over both what is stored and what is shared with each AI. We also wanted the product to be more than another chat archive. The goal is to help you retrieve the right context and reuse it wherever you are working, without becoming locked into one AI provider. It is still early. The biggest current limitation is that context selection is mainly user-directed, so Unibase Memory does not yet automatically identify the perfect set of memories for every new conversation. Over the next few weeks, we plan to improve retrieval, memory organization, and the overall context handoff experience. We would especially value feedback on two things: 1. What controls would make you trust a cross-AI memory product? 2. Which context handoff would save you the most time?

Hi, Zoe here, Ecosystem Lead at Unibase. While working on product launches and ecosystem campaigns, I constantly move between ChatGPT and Claude. Every time I switched tools, I had to re-explain the same product positioning, partner background, campaign decisions, and previous feedback before the AI could give me a useful answer. We built Unibase Memory to give people one private memory across the AI tools they already use. With the Chrome extension, you can: * Import conversations from ChatGPT, Claude, and Gemini * Save useful webpages alongside your AI chats * Search, tag, star, and organize your saved memory * Select the relevant context and send it directly into a new AI conversation * Keep your data local by default, with optional encrypted sync to Membase The product is live today and currently free to use. One decision we made deliberately was not to send everything into every conversation automatically. You choose which memories to use and when to use them. We think a cross-AI memory product should give users control over both what is stored and what is shared with each AI. We also wanted the product to be more than another chat archive. The goal is to help you retrieve the right context and reuse it wherever you are working, without becoming locked into one AI provider. It is still early. The biggest current limitation is that context selection is mainly user-directed, so Unibase Memory does not yet automatically identify the perfect set of memories for every new conversation. Over the next few weeks, we plan to improve retrieval, memory organization, and the overall context handoff experience. We would especially value feedback on two things: 1. What controls would make you trust a cross-AI memory product? 2. Which context handoff would save you the most time?
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