
LISA Core - AI Memory Library
LISA Core — semantic compression for AI conversations
What it does
Most AI tools store conversations as ambiguous text. When an AI reads a raw transcript, it guesses at meaning. LISA translates your conversation into machine-executable semantic structure: resolving ambiguity before the AI reads it. That's not compression. That's translation. And it's why LISA reconstructs context with higher accuracy than the original transcript. This insight came my 25 years as a professional translator. Meaning is fragile. Language loses it constantly. LISA preserves it.
Does the same job
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LISA CoreApr 2026 · chromewebstore.google.com · ▲74LLM memory using semantic compression for AI conversations



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I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
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