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LoreSpec – Structured knowledge extraction from AI conversations

LoreSpec – Structured knowledge extraction from AI conversations

by WasabiRichard·Apr 3, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainNiche Gem

Captures Toulmin argument structure for decisions when most tools just store flat facts.

Strengths
  • Eight knowledge types cover decisions, insights, patterns—not just chat transcripts.
  • Episodic + semantic layers mirror how human memory actually works.
  • Works with any LLM that reads system prompts—no vendor lock-in.
Weaknesses
  • It's a spec without reference implementations or tooling ecosystem yet.
  • Conversation memory is crowded (Mem0, various exporters already exist).
Category
Target Audience

Teams using AI for decision-making, product design, or research

Similar To

Mem0 · ChatGPT Memory · NotebookLM

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