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title: README
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# AwareLiquid

**Bio-inspired cognitive AI.** We build **MT-LNN** — a continuous-time liquid neural network that replaces the Transformer's growing KV-cache with a fixed-size carried state: **O(1) inference memory** for edge hardware, and **cross-session associative recall** that attention cannot express.

## What we do

### HyperCode — AI coding product
Give it one clear instruction and it works for hours until the job is done. 229 built-in domain skills across finance, law, academia and private equity. One-click install on Windows and macOS.
→ https://awareliquid.ai/hypercode

### Edge AI — liquid models for hardware
The attention-free **O-Series** carries a **0.381 MB** state at any context length and runs CPU-only — 8,063× smaller than a matched KV-cache at 1M tokens. Already in production battery AI: **229 e-buses**, offline early-failure alerts running on the pack controller itself.

### Data service — documents → structured data
Scanned archives, handwritten tables and blurry reports turned into clean structured data — **100% table-digit accuracy, zero hallucination**. A commercial service on the same liquid core.
→ https://awareliquid.ai/cleaning

### Open research — the architecture is the moat
Continuous-time ODE + global workspace + liquid memory, with ablations, recipes and results open and reproducible. Every claim links to code and data.
→ https://awareliquid.ai/research

## Models
[M2-2B](https://huggingface.co/AwareLiquid/M2-2B) · [M1-128M](https://huggingface.co/AwareLiquid/M1-128M) · [M1-TinyLlama-Adapter](https://huggingface.co/AwareLiquid/M1-TinyLlama-Adapter) · [O1-48M](https://huggingface.co/AwareLiquid/O1-48M) · [O1-Sound](https://huggingface.co/AwareLiquid/O1-Sound)

## Links
- **Website** — https://awareliquid.ai
- **Code** — https://github.com/AwareLiquid
- **Discord** — https://discord.gg/BMjkCKeqnJ