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| title: README | |
| emoji: 🧠 | |
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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 | |