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ai-inference

ChameleonAI is an open-source, hardware-agnostic AI inference optimization platform designed to deliver maximum performance, energy efficiency, and adaptability across any AI hardware, including Nvidia, AMD, Intel, Huawei, Apple, and emerging accelerators.

It features self-learning optimizations, predictive scheduling, mixed-precision tuning, and security-aware execution, ensuring models run faster, smarter, and safer. ChameleonAI supports cloud, edge, and embedded deployments, with developer-friendly profiling, benchmarking, and plugin tools for full control and transparency. https://roxanneardary.com/chameleonai/

This open-source plugin extends Brightlayer, the AI-native, stateless, privacy-first browser, with AI-powered features while respecting its sandboxed, end-to-end encrypted architecture. It enables local AI inference for tasks like summarization, translation, and privacy monitoring, all without storing or transmitting user data. Fully open-source and licensed under AGPL 3.0+, the plugin ensures transparency, reproducible builds, and strict adherence to Brightlayer’s stateless, privacy-first philosophy. https://roxanneardary.com/brightlayerplugin/

Curated tools, models, and frameworks for running LLMs locally and on-premises.