📦 quhongyu/lamem-vla

LaMem-VLA

Control robots with natural language and vision using a clever system that remembers past actions to make better decisions. Most modern robot brains struggle to connect what they see with what they did a moment ago, making them clumsy. This project introduces a dual memory system that keeps track of both visual cues and physical movements, helping robots perform tasks much more smoothly. While the creator is still polishing up the code for release, keeping an eye on this repository is a great way to see how the next generation of smart, adaptable robots will actually learn to navigate our messy world.

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📦 yeanroot/halo-wa

halo-wa

halo-wa is the robotics training wrapper that finally makes online reinforcement learning practical for complex physical agents. Under the hood, it connects advanced vision-language-action policies with simulated physical environments to train robots using a hybrid-attention world model. While standard setups struggle to coordinate simulation physics and deep model learning, this framework packages everything into ready-to-run tasks like hammering or ringing a bell. By utilizing pre-trained world models as reliable digital training grounds, it lets robots practice and refine their physical skills safely in simulation before taking on the real world. You can download the pre-packaged data and start training physical policies immediately.

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📦 zhinianboke/xianyu-auto-reply

xianyu-auto-reply

xianyu-auto-reply is the multi-account management assistant that finally turns your secondhand store into a hands-off, automated storefront. It uses web sockets and browser automation to handle everything from answering customer questions with smart AI replies to auto-delivering digital keys and giving ratings. You can run multiple accounts, auto-refresh your listings to keep them on top of search results, and manage your inventory with zero manual clicking. It essentially acts as a twenty-four-seven virtual employee, making sure you never miss a sale even while you sleep. Set up this Python-based automation toolkit today to let your store run itself.

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📦 apache/ossie

Apache Ossie

Apache Ossie is the open-source specification that standardizes how we share business definitions across different database tools and artificial intelligence platforms. Normally, different teams and software packages define key metrics like revenue or customer count using completely different logic, leading to frustrating calculation errors. This project solves that problem by providing a single, vendor-neutral file format that any software can read and write. It translates complex data relationships into a universal language, giving your entire technical stack a single source of truth. It is a fantastic way to keep your database logic consistent, reliable, and perfectly aligned.

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📦 raroque/boop-agent

Boop Agent

You can now run a private personal agent right inside iMessage that uses your existing Claude Code or ChatGPT subscription instead of racking up expensive developer API bills. Named boop-agent, this clever system acts as a secure dispatcher on your Mac, receiving your texts and spawning specialized, isolated sub-agents to handle your tasks. It features a brilliant memory consolidation pipeline that runs daily to resolve contradictions and merge duplicates, plus a local browser automation tool for tricky websites. Because it stages external actions as drafts for you to approve before sending, you always stay in complete control of your digital life.

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📦 michael-manning/e-paper-climate-logger

E-Paper Climate Logger

The e-paper-climate-logger is the open-source hardware project that packages a custom-built, ultra-low-power weather station into a gorgeous, pocket-sized device. Running on an ESP32-S3 chip, it monitors temperature and humidity, stores the data onto an external memory chip, and renders historical trend graphs on an always-on paper-like display. The clever design consumes so little energy in deep sleep that it can run for over a week on a tiny battery. It is a brilliant example of smart power optimization, waking up for just a fraction of a second to log data before instantly putting itself back to sleep.

📰 https://news.ycombinator.com/item?id=48919013

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📦 vercel-labs/agent-skills

Agent Skills

Agent Skills is the AI toolkit that finally gives coding assistants real-world superpowers. Instead of letting your AI agent guess how to optimize your code, this repository packages production-grade instructions and scripts directly for them. Built by Vercel, it covers everything from performance-tuning React components and auditing deployments to managing view transitions and writing better documentation. The coolest part is the claimable deployment skill, which lets your coding partner package your local app, push it live, and hand you a preview link along with ownership. It turns your AI helper from a basic code generator into an active deployment partner.

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📦 firaslatrech/reqlog

reqlog

Inspect every single HTTP request hitting your server live in your browser with zero configuration. This neat tool spins up a real-time visual dashboard on localhost with just three lines of code. It instantly streams your network traffic, letting you inspect headers, dissect payloads, highlight slow bottlenecks, and even replay captured requests with a single click. There are no heavy databases, config files, or external dependencies to manage. It is a lightweight, local-only developer companion that blocks itself in production automatically to keep you secure. Toss out those messy print statements and watch your server traffic flow live.

📰 https://news.ycombinator.com/item?id=47437103

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📦 google/gnm

Inside GNM Google's New Open Source 3D Human Face Generator

Google just open-sourced a highly detailed 3D statistical model of the human head that includes fully controllable internal anatomy like eyeballs, teeth, and a tongue. The project, called gnm, lets you generate incredibly realistic 3D faces using simple mathematical sliders. Instead of manually sculpting, you can use pre-trained semantic samplers to generate distinct facial shapes or expressions like happiness and surprise just by typing plain text. Because it supports major frameworks like PyTorch, JAX, and TensorFlow right out of the box, developers can easily integrate these expressive, custom faces into their own graphics pipelines, virtual avatars, or AI research tools.

📰 https://news.ycombinator.com/item?id=48919820

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📦 danau5tin/ai-trains-ai

AI Trains AI

An artificial intelligence agent has successfully trained other AI agents by designing complete reinforcement learning environments and running them on real physical GPUs. In this project, named ai-trains-ai, the primary trainer model writes entire training tasks, programs rewards, sets hyperparameters, and fires up graphics cards on Runpod to train smaller models. Over dozens of iterations, the main trainer agent was itself trained to become a better teacher, learning to write cleaner code and even selecting stronger base models. It even successfully transferred these teaching skills to completely new, unseen task families. It is a fascinating glimpse into an automated future where networks train networks.

📰 https://news.ycombinator.com/item?id=48905919

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📦 nhclimber87/llm-serve-dashboard

LLM Serve Dashboard

LLM Serve Dashboard is the local-first monitoring interface that finally brings full system visibility to your self-hosted AI servers without any external dependencies. Running as a single HTML page powered by a lightweight Python background script, this tool hooks directly into your local machine to display live GPU usage, memory consumption, and per-model token speeds. Instead of guessing how your local AI models are performing, you get a clean terminal-themed dashboard that tracks exact VRAM allocation and active workloads. It is perfect for developers who want real-time telemetry on their local hardware setups.

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📦 brightbeamai/chap

chap

Keep track of exactly what your AI agents are drafting and why you approved or edited their work. When a bot suggests a code change or drafts a customer reply and you make a quick tweak, that crucial decision usually gets lost in expired logs or messy chat threads. This project solves that headache by giving you a structured, hash-linked audit chain to store every human override, complete with a clear diff and your personal rationale. You get a perfect, permanent dataset of your edits, making it incredibly easy to see exactly where your prompts need tuning. Check it out to build a clean, reliable history of your human-agent teamwork.

📰 https://news.ycombinator.com/item?id=48658038

🆔 @hackernewsgithubprojects

📦 marinedotsh/better-auth-referral

Better Auth Referral

Add a user referral system to your web application without the headache of building database schemas and tracking logic from scratch. By using better-auth-referral, you can instantly generate unique eight-character codes for your users and automatically link new signups to the person who invited them. It seamlessly plugs into your existing authentication setup, handles both email and social media signups, and even lets you run custom actions like giving out rewards or sending notifications right after a successful referral. You get clean dashboard endpoints to track invitation counts and see who signed up, making it easier than ever to grow your community.

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📦 letsrevel/revel-backend

revel-backend

revel-backend is the community-focused ticketing engine that finally gives local organizers absolute control over their events. Most commercial ticketing sites treat your gathering like a cold transaction and charge heavy fees, but this self-hostable system lets you run everything on your own server. It handles waitlists, memberships, and complex regional taxes while keeping your community data entirely private. It is perfect for groups that want to build trust and run secure, independent gatherings without corporate middlemen tracking their guests. You can run your own independent platform and bring your local community together on your own terms.

🆔 @hackernewsgithubprojects

📦 lout33/symbiotic-ai

Symbiotic AI

Stop letting major tech companies own your personal AI's memory and control your context. symbiotic-ai lets you take absolute ownership of your AI relationships by storing your entire context in simple, clean markdown files that sit right on your own hard drive. Instead of relying on opaque, vendor-locked database profiles, this clever framework structures your agent's personality, your working style, and your active projects into text files you can edit, version-control with git, and take with you to any model you want. It is a brilliant way to build a personalized cognitive partner that tracks your actual habits, calls you out when you procrastinate, and grows smarter with you over...

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📦 morluto/rea

rea

Your AI coding agent can now reverse engineer almost any application down to the binary level using a project called rea. Instead of you spending days manually poking around inside binaries, learning complex command-line flags, or copying disassembled code between apps, this clever tool sets up a bridge between your local decompiler and your agent. It acts as an integration server that lets your agent autonomously open an app, trace how its features work under the hood, and gather evidence. Once the agent understands the logic, it can immediately write a clean version of that feature adapted directly to your codebase.

📰 https://news.ycombinator.com/item?id=48901763

🆔 @hackernewsgithubprojects

📦 s-jol/open-reasoning

Open Reasoning

Open reasoning is the clever tool that finally reveals what AI models are actually thinking before they give you an answer. Normally, when a reasoning model works through a hard problem, it hides its messy thought process and only shows you a clean final response or a tiny, polished summary. This project cracks open that black box, letting you inspect the massive, hidden layer of backtracking, self-correction, and raw problem-solving that happens behind the scenes. It is like getting a backstage pass to the model's brain so you can finally audit how it reached its conclusions.

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📦 andrewjiang/palantir-for-family-trips

Palantir for Family Trips

Palantir for Family Trips is the interactive situation dashboard that makes planning a group vacation feel like executing a highly coordinated tactical operation. Built with React and Google Maps, it replaces chaotic group chats and messy spreadsheets with a high-fidelity, data-dense control room. You can coordinate multiple families departing from different cities, simulate driving routes, track live meal prep, and run interactive checklists. The interface uses a dark, industrial theme with real-time timeline playback and maps to turn a cabin weekend into a fully monitored mission. It is a delightfully over-engineered way to ensure nobody gets lost on the way to the mountains.

📰 https://news.ycombinator.com/item?id=48922731

🆔 @hackernewsgithubprojects

📦 alem-world/alem-env

alem-env

Test how well AI models coordinate with each other by dropping them into a challenging, procedurally generated survival world. alem-env is a multi-agent benchmark built in JAX that challenges language models and reinforcement learning agents to work together in a complex, nine-level dungeon crawl filled with crafting, trading, and combat. Instead of working alone, agents must actively communicate, plan synchronous actions, and divide labor using text, symbolic, or visual interfaces. It is a fascinating way to evaluate whether modern artificial intelligence can truly cooperate on long-term, open-ended tasks as a team.

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📦 thetacursed/anima-trainflow

Anima TrainFlow

You can now train custom adapters for the Anima two-billion parameter model on consumer hardware with as little as six gigabytes of video memory. The anima-trainflow project packages a complete image-to-model workflow into a single-page dark theme dashboard that removes the usual technical headaches. It handles the entire process by auto-cropping your photos with subject detection, automatically generating tags, and running pre-flight checks to prevent crashes. While training, you can even watch your model improve in real time through a live preview gallery. It is a brilliant way to experiment with model training without needing expensive enterprise hardware.

🆔 @hackernewsgithubprojects