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Featured
Latest insights from Adrient
We build in the open. Explore our libraries, runtimes and research tools — use them, star them, contribute. MIT-licensed and community-friendly.
A Rust-first, hardware-aware LLM runtime — runs quantized models across GPU/CPU/hybrid with an OpenAI-compatible server, CLI and Python bindings.
A Rust vector index with Python bindings — a 10M-doc corpus in ~4GB RAM, faster than FAISS, built on Google's TurboQuant. Online ingest, no train step.
Architecture-free AI with pluggable LoRA adapters — a frozen quantized core with hot-swappable domain experts.
A research toolkit for continual learning, memory and metacognition experiments.
We welcome contributors and research collaborators. Reach out and tell us what you're building.
