📦 chriswiles/claude-code-showcase

Turn Claude Code into Your Super-Powered Teammate

Most developers are missing out on the true potential of AI agents, but this repository changes that by turning Claude Code into a highly efficient teammate. It provides a complete project configuration framework using reusable skills, specialized agents, and automated quality gates. You can define custom UI patterns, implement automated testing workflows, and even integrate external ticket systems like JIRA for seamless task management. By leveraging hooks, custom commands, and real-time code intelligence, you can automate your maintenance and ensure your codebase follows strict standards. Start building your own intelligent automation layer today and watch your productivity soar.

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📦 machinae/awesome-claws

Discover the World of OpenClaw Inspired AI Agents

Are you looking for the perfect personal AI assistant but feeling overwhelmed by the endless options available today? You need to check out Awesome Claws, a meticulously curated repository that highlights a massive collection of autonomous AI agents inspired by the OpenClaw architecture. Whether you need a tiny, efficient agent for low-cost hardware like an ESP32, a privacy-focused assistant for your local files, or a powerful multi-agent system for complex research workflows, this list has you covered. It is the ultimate resource for developers and enthusiasts to explore diverse, high-quality, and open-source AI projects all in one place.

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📦 upload-post/avatar-mix

Automate Professional Avatar Videos with One Click

Stop spending hours editing social media videos. This repository provides a powerful, reusable workflow for generating professional, avatar-led content from just a URL or script. By combining HeyGen for your digital twin, custom animated backgrounds, and dynamic editing, you can produce polished 16:9 and 9:16 videos complete with music, context-aware sound effects, and engaging Hormozi-style captions. It automates scene composition and even handles publishing across all your social networks. Whether you are a creator or developer, this tool saves massive time by automating the technical heavy lifting, letting you scale your content production effortlessly. Start creating your own automated video pipeline today.

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📦 benchflow-ai/skillsbench

How Well Does Your AI Agent Actually Perform?

Ever wonder if your AI agent is truly mastering the skills you give it? SkillsBench is the first benchmark designed to measure exactly how effectively AI agents use modular instructions and scripts to perform complex workflows. It solves the mystery of agent performance by providing gym-style evaluations that test how well models can compose multiple skills together. By using native task packages that include environments, oracles, and verifiers, it offers a rigorous way to see if your agent is genuinely capable or just guessing. Start benchmarking your agent today to ensure it is as smart as you think.

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📦 bayling-models/bayling-duplex

Build Smarter AI Conversations with BayLing-Duplex

Imagine an AI that listens and talks at the same time just like a real person. BayLing-Duplex makes this possible by enabling native full-duplex speech dialogue through a single autoregressive model. By representing audio and text as a unified stream, it handles turn-taking and interruptions naturally without needing complex external controllers or voice activity detectors. This makes your AI projects much more responsive and human-like in their interactions. Whether you are researching speech-to-speech prototypes or building advanced conversational assistants, this repository provides the framework to master seamless, real-time dialogue. Experience the future of fluid AI communication today.

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📦 landian60/streammembench

Stop Testing Memory Systems The Old Way: Introducing StreamMemBench

Ever wonder how well an AI agent actually remembers your life? Meet StreamMemBench, an open benchmark designed to evaluate streaming persona memory systems using real-world data. It transforms multimodal life streams into evidence-based tasks to test if an agent can accurately use initial information, incorporate user feedback, and reuse memory in future interactions. By evaluating eight different memory systems, including RAG baselines, this project provides a standardized way to measure fidelity and recall. If you are building AI agents that need to learn from personal experiences, this tool is the ultimate test to ensure your memory system is truly intelligent.

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📦 lvkailin0118/touchthinker

Teaching Robots How to Feel with TouchThinker

Have you ever wondered how robots could truly understand the physical world? Meet TouchThinker, a groundbreaking framework designed to teach machines tactile commonsense reasoning. While robots struggle with complex touch, this project tackles the problem by introducing a massive million-scale dataset and a clever action-aware modeling system. By processing tactile videos and focusing on specific interactions like sliding or pressing, the model learns to ground its responses in real physical evidence. It is a huge leap forward for open-world robotics, helping machines make sense of touch just like we do. Check out TouchThinker to see the future of robotic perception.

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📦 openbmb/agentcpm

Build Powerful AI Agents with AgentCPM

Want to supercharge your AI agents for complex research? AgentCPM provides an end-to-end infrastructure designed to tackle long-horizon, autonomous tasks with edge-scale models. It includes AgentCPM-Explore, which leverages a 4B parameter model to handle continuous, multi-turn interactions, and AgentCPM-Report, which uses an 8B model to autonomously generate deeply insightful long-form documents from your private data. With integrated tools like the AgentDock sandbox and asynchronous reinforcement learning, you get a full suite for training and evaluation. It is a powerful, open-source solution for running sophisticated, private-first research agents directly on your own hardware.

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📦 shanxierdan/dibs

Supercharge Your Solvers with Diffusion-Informed Branch Selection

Struggling with slow symbolic solvers on tough problems? Meet DiBS, a clever new approach that blends the accuracy of traditional solvers with the intelligence of machine learning. Instead of relying on rigid search patterns, DiBS uses a learned diffusion model to intelligently reorder branches during the search process. This boosts performance on complex tasks like Sudoku or 3-SAT by prioritizing better candidates while keeping your solver complete and reliable. It is the perfect bridge between raw computational speed and smart, data-driven reasoning. Give your solvers a massive upgrade and start tackling those long-tail search problems with much greater efficiency today.

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📦 tianyi-lab/polar

Optimize LLM Inference by Skipping or Looping Layers

Did you know your favorite AI model might be doing unnecessary work? Large language models usually run every single layer, but the PoLar framework proves we can achieve better results by dynamically skipping or looping through specific layers for each input. This clever approach treats layer execution like a customizable program, allowing for shorter, more efficient inference paths that maintain or even improve accuracy. By using a lightweight prediction network to decide the best path, you can unlock deeper reasoning capabilities hidden within standard models. It is a smarter way to run AI that makes your models faster and more effective.

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📦 marswang42/orbitos

OrbitOS: Your AI-Orchestrated Personal Productivity System

Are you tired of manually organizing your tasks and notes? Meet OrbitOS, an Obsidian-based framework that turns your personal productivity into an intelligently orchestrated system. By leveraging tools like Claude or Gemini, it acts as a dedicated AI partner that manages your knowledge, plans your daily routine, and helps you execute projects. Simply capture ideas into your inbox, and use commands like kickoff or research to structure them into actionable plans. With features for automated knowledge parsing, project tracking, and deep research, it keeps your work moving forward effortlessly. Reclaim your focus and let your AI assistant organize your life.

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📦 cytostack/openwolf

Slash Your Claude Code Tokens with OpenWolf

Are you tired of Claude Code burning through your token budget by reading the same files over and over? Meet OpenWolf, the open-source middleware that gives your AI agent a second brain. It works by injecting invisible hooks into your workflow, creating a project map, a learning memory, and a token ledger. By letting Claude know what is in your files before it opens them, OpenWolf significantly reduces unnecessary reads and saves massive amounts of tokens. It even tracks your project anatomy and bug history to keep your agent sharp. Take control of your AI costs and optimize your development flow today.

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📦 dragonflydb/dragonfly

Is This the Ultimate Redis Alternative?

Are you struggling with the limitations of traditional in-memory data stores? Meet Dragonfly, a modern, high-performance replacement for Redis and Memcached designed for today’s demanding application workloads. By utilizing a unique multi-threaded, shared-nothing architecture, Dragonfly delivers up to twenty-five times the throughput of older systems while maintaining significantly lower tail latency. It is fully compatible with existing Redis and Memcached APIs, meaning you can switch over without changing your code. Whether you need massive scalability or better memory efficiency during heavy tasks like data snapshots, Dragonfly offers a powerful, seamless upgrade for your infrastructure.

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📦 gszhangwei/open-spdd

Stop AI from Guessing: Use OpenSPDD to Control Your Code

Are you tired of AI coding assistants hallucinating or writing code that ignores your requirements? Meet OpenSPDD, a powerful CLI tool that transforms your prompts into executable design contracts. Instead of leaving AI to improvise, it uses a seven-dimensional REASONS Canvas framework to define everything from domain entities to strict coding guardrails. This tool supports popular environments like Cursor and GitHub Copilot, allowing you to generate code that strictly follows your design and even syncs changes back automatically. Take command of your development workflow and ensure your design and implementation finally stay perfectly in sync.

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📦 owenselles/cloudnow

Native GeForce NOW on Apple TV!

Want to stream your entire PC game library on your Apple TV without relying on a browser or clunky workarounds? CloudNow is an impressive open-source project that delivers a native GeForce NOW experience directly to your television. By reverse-engineering the official streaming protocol, this app lets you browse your games, manage your library, and jump into high-quality sessions with full controller support and even microphone integration. It handles everything from server region selection to real-time stats overlays, providing a polished way to game on your big screen. Check out the project to start building your own native streaming hub today.

📰 https://news.ycombinator.com/item?id=48488423

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📦 m-schuetz/curast

Rendering Billions of Triangles with CUDA

Ever wonder how to render billions of triangles in real time? Meet a breakthrough software project that challenges standard hardware pipelines by using custom compute shaders. Instead of relying on traditional methods, it employs a smart three-stage rasterization pipeline tailored for massive datasets like dense photogrammetry meshes. By processing small triangles with single threads and scaling up compute power for larger ones, this approach delivers incredible performance gains over conventional rendering. While still evolving, it proves that shifting heavy geometry processing to highly efficient CUDA kernels can outperform traditional hardware, setting a new bar for future real-time graphics.

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📦 huggingface/lelab

Master Your Robotics Projects with LeLab

Struggling with complex command-line setups for your robotic arms? Say hello to LeLab, the official graphical interface for the LeRobot framework. This powerful web application replaces tricky keyboard prompts and terminal gymnastics with an intuitive browser experience designed for efficiency. Whether you need to calibrate hardware, teleoperate your robot, record datasets, or launch training jobs, LeLab puts every step into a clean, unified dashboard. It is a fantastic way for newcomers and experts alike to simplify their robotics workflow and start training policies in minutes. Dive into the interface and take full control of your automation projects today.

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📦 jasonkneen/tiny-world-builder

Build Your Own Tiny Worlds with Code

Have you ever wanted to build your own interactive 3D world right in your browser? Tiny World Builder is a fascinating project that lets you design isometric landscapes using simple tools like terrain painting and object placement. It uses a custom engine to handle everything from procedural road networks and animated traffic to house clusters that automatically connect as you build. Whether you are creating a small village or testing large-scale vehicle simulations, this project shows how to turn basic primitives into a dynamic, living scene. Dive into the code to start building your own miniature world today.

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📦 thudm/slime

Slime: The Secret Engine Behind Large-Scale RL Post-Training

Ever wonder how top-tier AI labs train their most advanced models with reinforcement learning? Meet slime, a specialized framework built for high-performance RL scaling. By tightly connecting the Megatron training stack with the SGLang inference engine, slime handles the heavy lifting of massive model updates and high-throughput data generation in one unified pipeline. It eliminates the need for complex, disconnected systems, letting you run efficient training and flexible data workflows seamlessly. From agentic tool use to large-scale reasoning, slime provides the robust infrastructure needed to push model performance further. Master your RL scaling today and level up your production AI.

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📦 daronyondem/claude-architect-exam-guide

Ace Your Claude Architect Exam!

Are you gearing up for the Claude Certified Architect Foundations exam? If you are feeling overwhelmed, this community study guide is exactly what you need to streamline your preparation. It covers critical concepts like API fundamentals, agentic patterns, and the Model Context Protocol, while helping you master essential design trade-offs for production-ready applications. This project acts as your comprehensive roadmap, providing structured insights, common pitfalls, and clear strategies to build your expertise. Instead of just memorizing facts, you will gain the deep understanding required to excel. Grab this resource today and start building your confidence for exam day.

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