Oprel
Local AI That Actually Uses Your Hardware Properly
What it does
Oprel is a high-performance Python library for running large language models locally. It provides a production-ready runtime with advanced memory management, hybrid offloading, and intelligent optimization. Oprel is a local AI runtime that automatically optimizes for your hardware - from CPU-only laptops to RTX 4090 GPUs. It supports hybrid GPU/CPU offloading, smart quantization, and batching for real performance gains over existing tools.
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- LALocalGPT – A local-first AI assistant in Rust with persistent memoryFeb 2026 · github.com · ▲331
I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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