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Handpicked repositories selected for utility and relevance.

llmfit interface preview

llmfit: Know What LLMs Your GPU Can Actually Run

A 7B parameter model might be 4GB or 14GB depending on quantization. llmfit cuts through this confusion by detecting your actual hardware—NVIDIA, AMD, Intel Arc, Apple Silicon, or Ascend—and telling you exactly which models will run. One command, clear answers.

AlexsJonesAL

llmfit

AlexsJones

RuView interface preview

RuView: WiFi Pose Tracking Hit 50K Stars Amid Doubts

A WiFi-based human sensing project rocketed to viral status with promises of camera-free pose estimation on ESP32 hardware. The open source community is now testing whether the ambitious claims hold up—and the verification process reveals how technical scrutiny works in real time.

ruvnetRU

RuView

ruvnet

autoresearch interface preview

Karpathy's 700-Line Script vs. Billion-Dollar AutoML

Karpathy's AutoResearch lets AI agents autonomously edit training code and run experiments—a fundamentally different approach than classical Bayesian optimization. Independent benchmarks show it converging faster on real tasks, while research proves classical methods (CMA-ES, TPE) still dominate fixed search spaces. The real tension: mathematical rigor versus autonomous code-editing flexibility, and whether 54k stars in 19 days signals a genuine paradigm shift or just popularity.

karpathyKA

autoresearch

karpathy

awesome-design-md interface preview

DESIGN.md: The Style Guide AI Agents Actually Read

AI coding agents like Cursor and Claude can scaffold entire applications instantly, but they dress them differently every time. DESIGN.md files—simple markdown documents placed in your project root—give AI agents a style guide they can actually parse, producing pixel-accurate UI that matches popular design systems like Stripe, Linear, and Notion.

VoltAgentVO

awesome-design-md

VoltAgent

claude-howto interface preview

27K Stars in 60 Days: What Claude Code Guide Says About AI Docs

A practical GitHub guide to Claude Code accumulated over 27,000 stars in just eight weeks, outpacing most AI tool documentation. Its success exposes a critical gap: developers don't need more API references—they need visual, example-driven resources that solve real problems immediately.

luongnv89LU

claude-howto

luongnv89

claw-code interface preview

Claw-Code Hit 100K Stars in 24 Hours After Claude Leak

Anthropic's Claude Code agent harness leaked in early 2025. Within 24 hours, claw-code—a clean-room alternative—hit 100K GitHub stars, becoming the platform's fastest-growing repository. The explosive response revealed pent-up demand for open AI agent infrastructure and sparked an entire ecosystem of alternatives including NanoClaw, Nanobot, ZeroClaw, and OpenFang.

ultraworkersUL

claw-code

ultraworkers