jundot/omlx1d ago
Runs LLM inference server with continuous batching and tiered SSD KV caching for Apple Silicon, managed via macOS menu bar.
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Runs LLM inference server with continuous batching and tiered SSD KV caching for Apple Silicon, managed via macOS menu bar.
Runs DeepSeek V4 Flash inference on Apple Metal with disk-persisted KV cache and OpenAI-compatible server.
Implements linear-time sequence modeling via sparse top-k routing that selectively updates fixed memory slots for long-range associative recall.
Aligns LLMs without parameter updates by applying a fixed set of in-context stylistic examples and system prompts.
Deploys personality-driven AI agents that survey codebases, pitch ideas, critique them in character, and generate design documents.
Extends the OpenAI Codex CLI with hooks, agent teams, HUDs, and .omx/ state for structured workflows.
Applies Muon-style momentum orthogonalization via Newton-Schulz iterations to matrix parameters in PyTorch, reusing cached directions for efficiency and Adam for non-matrix ones.
Ports pi-mono to Swift for in-process subagents and prompt templates in iPad apps.
Trains PyTorch drifting models for single-step image generation by approximating attraction with projected RKHS while keeping repulsion exact.
Mirrors Android device screens over USB or TCP/IP and controls them with keyboard and mouse without root.
Visualizes WhatsApp analytics from SQLite archives via a local React dashboard and read-only Express API.
Implements a bit-serial RV32I RISC-V CPU core that processes one bit per clock cycle.