LISA Core - AI Memory Library
LISA Core — semantic compression for AI conversations
LISA Core - AI Memory Library launched on April 7, 2026 with 1 votes, #8,101 of 21,248 launches that month.
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.
Compress documents & conversations into governed semantic data with cryptographic audit trails. Enterprise-grade AI governance that works across every platform. Semantic compression reduces token usage by 10-20× while preserving complete context and meaning. Every export includes SHA-256 integrity hash, immutable audit trail, and data lineage for regulatory proof. Export from ChatGPT, import to Claude. Your governed data travels across any AI platform. Automatic intent classification, entity extraction, and relationship mapping for training data pipelines. Key decisions, insights, and action items preserved with full context, relationships, and dependencies. ~$0.01-0.03 per compression.…from lisa-web-backend-production.up.railway.app
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LISA CoreApr 2026 · chromewebstore.google.com · ▲74LLM memory using semantic compression for AI conversations

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Lossless-memory – a personal AI memory that never summarizesSep 2026 · github.com · ▲67Lossless long-term memory for a personal AI: never summarize, keep every line, put a timestamp on everything. - aru-labs/lossless-memory

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