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πŸ“¦ vincentwei1021/anything2explainer

Anything to Explainer: The AI Video Factory

You can now turn any random topic into a fully animated explainer video with a real voiceover, all generated by AI coding agents. This project is called Anything to Explainer. It is not a video generator; it is a set of instructions for AI programmers like Claude Code. You give it a subject, and it handles the research, writes the script, and records a voice. Then, it splits the video into separate shots and assigns different AI agents to code each animation in parallel. It uses a tool called Remotion to draw every single frame from code, ensuring no two videos look the same.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ miqdadbadjuber/anti-slop

Anti Slop: The Filter for AI Design

Your AI coding agent is probably handing you designs that look like every other AI app, complete with generic blue gradients and empty buzzwords. Anti Slop is a rulebook that stops that from happening. It acts as a filter, checking every visual choice to ensure it actually serves a purpose rather than just looking like a safe default. It doesn’t tell your agent what colors to pick, but it demands a real reason for every design decision. The result is software that feels crafted by a human designer, not generated by a machine.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ chengyi-ai/native-subtitle-quote-image

Turn Video Clips Into Shareable Quote Images

Turn real video moments into crisp, vertical images ready for social sharing. This project grabs the exact frame where a subtitle appears and stitches it into a compact, portrait-friendly picture. It solves the hassle of manually finding and cropping perfect quotes by automating the extraction process. The standout feature is its strict honesty: it clearly distinguishes between text originally baked into the video and text added later, so you never risk misrepresenting the source material. It’s a clever way to create authentic visual highlights without messy manual editing. If you share video content, this tool makes creating accurate quote cards simple and reliable.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jinzijian/evotrace

EvoTrace: Turn Your Coding History into Training Data

Your messy chat logs with AI coding assistants are secretly valuable data that can be turned into rigorous, verified training assets for future models. EvoTrace is a local tool that imports your existing Claude Code and Codex history to find the best problem-solving sessions and compile them into reproducible coding tasks and independent verifiers. This solves the critical gap between raw transcripts and usable post-training data by ensuring every generated task is validated in a secure sandbox environment. It lets you evaluate agent performance today and generate high-quality reinforcement learning data for tomorrow.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zavora-ai/adk-rust

ADK-Rust: The Rust Framework for AI Agents

ADK-Rust is the Rust framework that finally makes building reliable, production-grade AI agents feel as simple as writing a standard function. While Python dominates the AI scene, this project brings the performance and safety of Rust to the table, letting you swap between major AI providers without rewriting your entire codebase. The real magic is its modular design, which lets you build agents that can actually act, remember, and even speak in real time. You get a type-safe environment where your logic stays predictable, even when the AI gets creative. It is not just a library, but a complete ecosystem for developers who want to move beyond simple chatbots.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ leanprover/con-leche

ConLeche: The Proof Checker That Proves Itself

Guarantee your mathematical proofs are actually true, without trusting a single line of code, using ConLeche. This project solves a massive problem in computer science: how do you trust the computer checking your logic? Usually, you just hope the software is bug-free. ConLeche flips that by writing the checker itself in Lean, then proving inside Lean that the checker can never accept a broken proof. It’s a bit slower than the standard tools, but you get ironclad confidence. It’s a fascinating look at how far we can push self-verification in software. If you love logic, this is your new favorite tool.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ frankchu91/mindbase-llm-wiki

MindBase: The AI That Gardens Your Notes

One command starts a local server that turns your scattered notes into a living, organized wiki, and it never sends your data to the cloud. MindBase is an open-source tool that uses free, local AI models to actively maintain a personal knowledge base for you. Instead of just storing files, the AI reads your sources, connects the ideas, and writes structured pages that get sharper over time. The most surprising part is that the AI audits its own work, flagging contradictions and stale claims so your knowledge stays accurate. It runs entirely on your computer, giving you a persistent, searchable record that you actually own.

πŸ“° https://news.ycombinator.com/item?id=49001892

πŸ†” @hackernewsgithubprojects
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πŸ“¦ yuji-hatakeyama/opencode-gpt-imagegen

Opencode GPT Imagegen: ChatGPT Image Generation for Developers

Opencode GPT Imagegen is the OpenCode plugin that lets you generate images using your existing ChatGPT subscription without extra API costs. It bridges the gap between your terminal-based coding agent and OpenAI's latest image generation capabilities. Instead of juggling separate API keys or paying per image, this tool rides on the same backend channel used for ChatGPT chat. You can simply ask your agent to draw something in natural language, and it saves a high-quality PNG directly to your project folder. It even accepts reference images to guide the style or edit existing targets.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ hamedgitty/bloks

Bloks: Your Local AI Team

Run a private team of artificial intelligence helpers entirely on your own computer. Bloks is a desktop application that treats AI models like coworkers in a group chat, where they take turns speaking and share memory without sending your data to any external cloud server. The standout feature is its cost saving design, where a smart leader agent hires cheaper models for routine tasks while keeping the expensive models for final judgment, just like a real company. Because everything stays on your machine, you have full control over what these agents can touch and do.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ oruk-ai/orukeet

Orukeet: The Speech AI That Listens Better

Orukeet is the speech-to-text engine that actually listens. Instead of letting a computer just guess words, it swaps half its internal listening filters for mathematically perfect ones that never change. This tiny trick makes it hear twenty-five languages more clearly than the version it came from. It cuts down errors on messy, real-world audio, meaning your voice gets typed out faster and more accurately on your laptop or phone. It’s a clever, quiet win for anyone who hates fixing misspelled transcripts. You get a cleaner, sharper recording that just makes sense. That’s the takeaway: better ears, less noise, and your words, finally, exactly as you meant them.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ruc-datalab/skilladam

SkillAdam: Auto-Improving Skills for Your AI Agent

SkillAdam is the optimization tool that actually tests your AI skills before you use them. It plugs directly into Claude Code, Codex, and Cursor to take a specific prompt you wrote and run it against real tasks. The system analyzes where the instructions fail, proposes specific text changes, and only updates your file if the new version performs better. This turns vague prompt engineering into a measurable, scientific process. You no longer guess if a tweak works; you see the data prove it. It is the fastest way to make your AI agents genuinely smarter and more reliable for your daily workflow.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jeremyipark/vision-demos

vision-demos: The Computer Vision Project

Vision demos is the computer vision collection that turns everyday video into measurable athletic data. It solves the problem of how to quantify physical performance without expensive wearables by using a single pose estimation model to track body points in real time. The most surprising feature is its ability to automatically count chin-up repetitions by analyzing the vertical displacement of your torso relative to your hands, effectively acting as a digital spotter that times every ascent and descent. It also includes tools for measuring running cadence and scoring dance synchronization, making it a versatile toolkit for anyone interested in applying machine learning to fitness.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ shmidtqq65/loxley

Loxley: The Exit Sniper for Robinhood Chain

Get out of the exit. Loxley is a local tool for Robinhood Chain that handles the messy part of token launches. It watches for new coins, scores their safety, and waits for that scary opening tax to drop before you buy. But here is the kicker: it does not just enter, it marks your exact exit price every few seconds. The moment the developer who launched the coin sells their tokens, Loxley instantly triggers a sell order for you. It reads the chain by default, so nothing is locked away. You just watch the terminal, and if it looks safe, it signs the trade.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ nab138/iloader

iloader: The Easiest Way to Sideload

One app can automatically install SideStore and manage all the complex developer certificates and pairing files you need to run unofficial software on an iPhone. Sideloading usually means hunting down obscure tools and manually copying hidden files to your device, which is a recipe for frustration. iloader turns that messy process into a simple drag-and-drop experience. You sign in, pick your app, and the software handles the technical setup for you. It is built for people who want to install custom apps without becoming a security expert. If you have ever given up on sideloading because the instructions were too confusing, this is the tool that finally makes it manageable.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ p1neapplexpress/openflux

OpenFlux: Hiding Traffic in Plain Sight

Turn any online document into a secret network tunnel. OpenFlux lets you route your entire internet connection through a shared Google Doc, using the real-time cursor movement messages you usually ignore as just data. It acts as a local proxy on your machine, grabbing your web traffic and wrapping it inside those tiny, invisible text edits before sending it to a remote server. This is a research project built to show how standard web protocols can hide complex network traffic, proving that your data can travel in plain sight without raising a flag.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ denissergeevitch/agents-best-practices

Agents Best Practices

The model proposes actions, but the harness validates, authorizes, executes, records, and returns observations. Agents Best Practices is a provider-neutral skill that teaches you to build this exact control plane, ensuring your AI agent acts like a disciplined employee rather than an unchecked script. It covers everything from creating a minimal viable product to auditing complex workflows, applying strict rules so that reads, writes, and external calls stay safe. Whether you are coding or handling finance, this guide keeps the loop simple while making the runtime rigorous. Stop guessing how to manage permissions and context.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ avirtual/clodex

Clodex: The Control Tower for Your AI Coding Crew

Clodex lets you run a whole fleet of coding agents on your Mac and remote Linux servers, all visible from one sidebar. It stops the chaos of managing multiple AIs by giving every session a real terminal, live context usage, and cost tracking. The coolest part is the message bus, which allows agents to actually talk to each other, handing off tasks like a real dev team. You stop guessing which bot is stuck and start watching your digital workforce collaborate in real time. It’s less about writing code and more about managing the agents who write it.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ trae1oung/saescientist

SAEScientist: Can AI Do Science?

Give an AI agent a mystery concept and let it hunt for the specific neural feature inside a large language model that drives that behavior. That is exactly what SAEScientist does. It turns the messy, guesswork-heavy work of interpretability into a structured race where the agent writes its own test sentences, watches the model react, and picks the single best feature to control that trait. The real question here is whether a machine can independently figure out how to steer a mind by poking at its own parts. If your agent can beat the human baseline, you have a robot doing the detective work that used to take researchers months.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ vlar-group/relightformer

RelightFormer: Instant Multi-View Relighting

A new tool called RelightFormer changes how computers change the lighting in 3D object photos without needing slow, step-by-step calculations. Instead, it uses a fast, direct model to instantly apply new lighting conditions from many angles at once, keeping everything looking consistent and realistic. This is possible because the creators also released a massive open dataset containing over ninety thousand 3D objects paired with thousands of different lighting setups, which trained the system to understand light and shape. You can run this on modern graphics cards to see objects under completely different skies or room lights in seconds. It is a big step for realistic, quick image editing in 3D.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ homebrew/brewui

BrewUI: The Visual Frontend for Homebrew

BrewUI is the official graphical interface that turns Homebrew from a command-line mystery into a friendly Mac app. If you love the power of package management but dread typing out complex install codes, this is the tool for you. It connects directly to the Homebrew engine, so you can browse, install, and update software with simple clicks. The coolest part is that it never hides what is happening under the hood; it shows you exactly what the system is doing, so you stay in control without getting lost in technical jargon. It is the perfect bridge for people who want safety and transparency without the terminal stress.

πŸ“° https://news.ycombinator.com/item?id=49657121

πŸ†” @hackernewsgithubprojects