Semantic Compression Layer

LoreTokens Technical Overview

LoreTokens are an AI-native serialization format designed to compress meaning, not bytes. A single LoreToken line can encode domain, concept, subject, and output shape, which modern LLMs expand into detailed responses using their existing knowledge. High-level overview: loretokens.ai.

1. Repositories & Spec

The README in the LoreTokens repo provides the narrative history and long-form design notes: README.md .

2. Formats & Glyphs

LoreTokens come in three main flavors: Symbolic (.sym), Standard (.lt), and Ultra (.ltu). All three share the same semantic core but trade off machine-friendliness vs readability.

LoreTokens do not try to be a human-first config language. They are for AI systems and operators who need consistent, compact patterns that models can learn once and reuse.

3. Examples & Datasets

Example files show how real schemas and datasets look once they have been LoreToken-ised. These are ideal for both human inspection and LLM fine-tuning.

Simple conceptual example

PROFILE.SKILLS:[Mohit+AI,Cloud,Trading>>profile_record,ACTIVE]

This single LoreToken line captures:

A modern LLM can expand this into a structured description, JSON object, documentation, or code that operates on this profile – all from one short line.

4. Tooling, GPU Hook, and SAIQL Integration

LoreTokens ship with tools ranging from simple converters to a CUDA-based GPU hook. The goal is to keep compression as close as possible to where compute happens.

LoreTokens and SAIQL are two halves of the same stack: LoreTokens compress the semantics, and SAIQL provides a queryable, durable database engine to operate on them. For the database story, see saiql.ai/saiql-docs.html.

5. License & Patent Notes

LoreTokens and SAIQL are governed by the Open Lore License (OLL): small teams and early-stage projects can experiment freely up to a revenue cap; larger commercial deployments must coordinate licensing.