📦 gitbutlerapp/grit

Rebuilding Git from Scratch in Rust

Ever wondered how Git works under the hood? Meet the project aiming to reimplement Git entirely in Rust. This ambitious effort replaces standard Git components with modern, memory-safe code to push the boundaries of version control performance. By building foundational tools like object hashers, reference handlers, and even a custom HTTP server, this project acts as a functional recreation of the Git ecosystem. Whether you are curious about systems programming or the mechanics of version control itself, exploring this codebase offers a unique look at how core development tools are engineered from the ground up. Go check it out.

📰 https://news.ycombinator.com/item?id=48486380

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📦 gen-verse/openclaw-rl

Train Your AI Agent Just By Talking With OpenClaw-RL

Tired of AI agents that never learn from your feedback? OpenClaw-RL is a powerful, fully asynchronous reinforcement learning framework that lets you train personalized AI agents simply by talking to them. Instead of relying on static datasets, this system intercepts your live conversations, terminal executions, or GUI interactions to create training signals on the fly. It uses advanced techniques like Binary RL and On-Policy Distillation to continuously refine the agent's behavior without ever blocking your workflow. Start using your daily interactions to build a smarter, more personalized AI assistant today, and watch your agent evolve with every single message.

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📦 sylinko/everywhere

Meet Everywhere: The On-Screen Aware AI Assistant

Stop toggling between apps and start automating your workflow with a smart desktop companion that sees what you see. This project provides an on-screen aware AI assistant that analyzes your current application context to help you work seamlessly across your computer. By leveraging multiple large language models and integration tools, it solves the problem of disconnected workflows by bridging the gap between your active tasks and AI assistance. It features a sophisticated strategy engine for intelligent query matching and handles native desktop interactions, allowing you to stay focused on what truly matters for your productivity goals.

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📦 nv-tlabs/wosx

Solve Complex Physics Without Meshes Using WoSX

Struggling with complex volume meshes for your physics simulations? Meet WoSX, a powerful C++ library designed to solve partial differential equations using grid-free Monte Carlo methods. Instead of the costly and tedious process of creating volume meshes, this tool queries geometry boundaries directly to estimate solutions exactly where you need them. Whether you are tackling thermal conduction on intricate meshes, modeling electrostatics for moving components, or calculating exterior potential flow, WoSX offers robust CPU and GPU solvers to get the job done. It is a fantastic resource for researchers and developers looking to streamline advanced geometric simulations today.

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📦 mit-han-lab/foreact

ForeAct: Smarter Robot Decision Making

Ever wonder how robots can make better decisions on the fly? Meet ForeAct, a powerful visual foresight planner designed to help Vision-Language-Action models look ahead. By predicting future observations, it empowers robots to anticipate outcomes and act more effectively without needing complex architectural changes to their existing models. It is impressively fast, generating high-fidelity visual foresight in just a fraction of a second on a single GPU. Whether you are working with single or multi-view setups, this plug-and-play solution offers a smarter way to bridge the gap between perception and action. Try it to elevate your robotics projects.

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📦 28naem-del/mnemosyne

Stop AI Amnesia: The Cognitive Memory OS for Agents

Are your AI agents stuck with amnesia, starting every conversation from zero? Meet Mnemosyne, a breakthrough cognitive memory system designed to act like a human brain for your AI. Instead of standard database wrappers, this project delivers a powerful five-layer architecture that enables persistent, self-improving, and collaborative memory across multiple agents. With its 12-step algorithmic pipeline, you can store and retrieve memories in under fifty milliseconds without expensive LLM calls. From automatic entity extraction to real-time knowledge graphs, Mnemosyne gives your agents the long-term context they need to truly evolve. Take control of agent intelligence and start building smarter today.

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📦 alibaba-damo-academy/worldolympiad

Is Your AI Model Actually Smart? Meet WorldOlympiad

Think your video-generation AI is a genius? Most models just fake it with pretty pixels, but WorldOlympiad puts them to the ultimate test. It is a new benchmark that treats AI like a top-tier athlete, grading models on three tough tracks: physical rules, geometric consistency, and interaction fidelity. Instead of just checking if a video looks good, it dives deep into mechanics, thermal properties, and 3D structure to see if the world model truly understands reality. By stress-testing these systems with gaming and robotics, it exposes where your AI is actually struggling. Ready to see if your model survives?

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📦 wdrink/arm

ARM: A Revolutionary Unified Multimodal AI Model

Have you ever wondered if one single AI model could master image understanding, generation, and editing all at once? Meet ARM, a cutting-edge autoregressive model that treats visual data like language. By mapping images into compact discrete tokens, ARM uses next-token prediction to unify these diverse tasks into one efficient framework. It significantly boosts performance through preference optimization, proving that a single model can handle complex visual reasoning and high-quality generation simultaneously. This approach simplifies multimodal AI, showing that autoregressive models can effectively dictate composition and semantics. It is an exciting step forward for unified artificial intelligence research.

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📦 zlab-princeton/i1

i1: A Fully Open Recipe for Strong Text-to-Image AI

Ever wonder how powerful text-to-image AI is actually built? Most top-tier models keep their training data and recipes secret, making it nearly impossible for the research community to learn from them. The i1 project changes that by offering a fully open, high-performance 3B-parameter diffusion model. By running over three hundred controlled experiments, the team identified the best design choices for both architecture and data. The result is a competitive model that you can fully explore, reproduce, and build upon. Check out their codebase to see how these simple, effective recipes can advance the future of open-source image generation.

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📦 orchestra-research/ai-research-skills

Supercharge Your AI Agents with This Massive Research Skills Library

Stop wasting time debugging infrastructure and let your AI take the lead on complex research. This repository provides a massive collection of nearly one hundred expert-level skills designed to turn AI models into fully autonomous research agents. Whether you need to handle distributed training with PyTorch, optimize models with vLLM, or write academic papers using provided LaTeX templates, this library covers the entire research lifecycle. By packaging these capabilities, you enable your agent to manage everything from initial ideation and data processing to final evaluation. Unlock the true potential of your AI agents and accelerate your scientific discovery today.

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📦 s0xdk/ghostty-blackhole

Turn Your Terminal Into A Black Hole Pomodoro Timer

Want to add a touch of cosmic drama to your coding workflow? This project brings a stunning, interactive black hole directly into your Ghostty terminal, acting as a clever visual Pomodoro timer. As you work, the hole slowly grows, warping your terminal text with realistic gravitational lensing, event horizons, and accretion disks. When the hour peaks, it signals that it is time for a break. It is entirely self-contained, using clever shader math to track your focus based on the wall clock and your typing activity. Transform your boring terminal into a dynamic, engaging workspace today.

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📦 serenakeyitan/awesome-agent-loops

Stop Prompting, Start Looping: Automate Your Coding Agent

Are you still manually prompting your coding agent one step at a time? It is time to level up by using agent loops to get more done with less effort. This repository is a curated collection of powerful, real-world commands for Claude Code and Codex that help you automate repetitive tasks. Whether you need to fix flaky tests until they pass, babysit pull requests, or sync documentation automatically, these commands put your work on autopilot. Simply copy and paste these proven patterns to create your own effective loops. Start building smarter workflows today and let your agent handle the grind.

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📦 nelson820125/jordium-gantt-vue3

Build Powerful Gantt Charts with Vue 3

Need to manage complex schedules and resource planning in your web app? Check out this powerful Vue 3 Gantt chart library. It simplifies task management by providing a flexible, interactive interface for scheduling tasks and monitoring resource allocation. With built-in features like drag-and-drop, customizable task bars, and even resource conflict detection, it helps you visualize timelines effortlessly. Whether you are building project management tools or resource trackers, this component is designed to handle it all with ease. Dive into this repository to streamline your project scheduling workflow today and bring professional-grade Gantt charts directly into your application.

📰 https://news.ycombinator.com/item?id=47437651

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📦 anthropics/claude-agent-sdk-python

Build Powerful AI Agents with Claude Agent SDK

Unlock the power of building autonomous AI agents directly within your Python projects using the Claude Agent SDK. This powerful tool allows you to seamlessly integrate Claude Code into your applications, offering features like bidirectional conversations and highly customizable agent behavior. You can define custom tools as in-process servers for better performance and type safety, or use hooks to precisely control agent actions. Whether you are automating complex workflows or creating intelligent assistants, this SDK provides the robust infrastructure needed to get started quickly. Dive into this repository to start building your own advanced AI-driven tools today.

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📦 larksuite/cli

Master Lark with the Ultimate Official CLI

Unlock the full potential of your workspace with the official Lark CLI tool designed for both humans and AI agents. This open source powerhouse covers eighteen business domains, offering over two hundred curated commands to manage your calendar, messenger, docs, sheets, and tasks seamlessly. It is specifically engineered to be agent-native, featuring twenty-six built-in skills that allow AI to operate your workspace with zero extra setup. Whether you need to automate meeting schedules or manage complex data, this tool provides a secure, three-layer architecture to streamline your workflow. Install it today to bring professional-grade automation directly to your terminal.

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📦 fluxerapp/fluxer

Build Your Own Messaging Platform with Fluxer

Tired of locked-down messaging apps? Discover Fluxer, a free and open source platform built for friends and communities that puts you back in control. It offers a complete suite for real-time chat, including threaded replies, custom emojis, and voice and video calling powered by LiveKit. The best part is its focus on self-hosting, allowing you to run your own instance and own your data entirely without vendor lock-in. Whether you want to customize your server or just enjoy a private community space, Fluxer provides the tools to get started today. Take control of your digital home and start building.

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📦 always-further/nono

Stop AI Agents from Taking Over Your Machine

Are you worried about AI agents running wild on your computer with full access to your sensitive files and credentials? Meet nono, a powerful, kernel-level sandboxing system built specifically for AI agents. Instead of trusting agents with your entire machine, nono uses OS-level primitives to restrict them to only the specific paths, network access, and environment variables they actually need. It works by enforcing these policies at the kernel level, making security rules irreversible and impossible to bypass. Secure your workflow, protect your private data, and keep your agents in check by defining explicit, audit-ready capabilities today.

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📦 npc-worldwide/npcsh

Build AI Teams Right From Your Terminal with npcsh

Want to supercharge your workflow with AI? Meet the agentic shell that lets you build and run entire teams of AI agents directly from your command line. Instead of juggling separate tools, you can use simple slash commands to schedule tasks, design custom execution templates, and even host multi-agent discussions to solve complex problems. It integrates seamlessly with major LLM providers and supports flexible agent definitions, allowing you to easily orchestrate specialized AI personas. Whether you are automating workflows or diving into deep research, this project gives you full control. Start building your own autonomous agent team today.

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📦 agentlas-ai/hephaestus

Build AI Agents from One Sentence with Hephaestus

Ever wanted to turn a simple idea into a functional AI agent or a full multi-agent team? Meet Hephaestus, the no-code engine that does exactly that. Instead of manually coding complex workflows, you just provide a sentence describing your goal, and Hephaestus generates a complete, installable repository. It works as an alternative to existing frameworks like CrewAI or LangGraph and integrates seamlessly with tools like Claude Code, Codex, and Cursor. Whether you need a single specialist or a coordinated team, Hephaestus builds the architecture for you. Stop building from scratch and start generating production-ready agent structures instantly.

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📦 jianhuiwei7/videoweaver

VideoWeaver: Evolving AI Agents for Long Video Generation

Ever wonder if AI agents can handle complex, long-form video production? Meet VideoWeaver, a research project designed to test and evolve how agent frameworks perform in long-horizon video generation. Instead of rigid pipelines, it provides a library of reusable foundation skills—like audio generation, video trimming, and metadata analysis—that allow agents to create and refine their own custom workflows. By evaluating execution traces and output quality, the system progressively optimizes these skills through feedback. It is a fascinating way to study how agents move from simple tasks to complex, multi-step creative orchestration. Check it out to see the future of automated video production.

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