📦 crwdla/tokentab

How much do AI tools actually cost?

Tokentab is the offline cost tracker that finally shows you exactly what your AI coding assistants are spending. It reads the session logs already saved on your computer for tools like Claude Code and Gemini, then adds up the token usage to calculate your real costs by model, project, and day. Because it runs entirely locally without needing an API key or internet connection, your data never leaves your machine. You can view these numbers in a simple terminal or a local web dashboard to see exactly where your money goes. It is the straightforward way to stop guessing and start seeing the true price of your automation.

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📦 0xbakeer/deepseek-v41-flash-spark

DeepSeek-V4.1-Flash Runs on One Box

DeepSeek-V4.1-Flash is the single-machine serving recipe that keeps full quality without shrinking the model. Most attempts to run this massive language model on one computer force you to lower the accuracy so it fits in memory, but this project takes a different path. It holds the most important parts of the model in fast memory while streaming the rest from the hard drive as needed. This means you get the exact same output quality as the original, even if it moves slower. The repository handles all the complex setup so you can connect your favorite chat apps and start using it immediately.

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📦 kennethwolters/litelm

Litelm: The Lean LLM Router

Route AI model calls across nineteen different providers using a single, unified function call. The popular LiteLLM library handles this job, but it carries a massive overhead of extra features like proxy servers, complex caching layers, and detailed cost tracking that most developers never actually need. Litelm solves this by stripping away all that unnecessary weight. It keeps only the essential routing logic and message translation required to talk to various AI models. The entire project fits in under three thousand lines of code with just two dependencies. If you want a fast, lightweight way to swap between different AI providers without the heavy baggage, this is your streamlined alternative.

📰 https://news.ycombinator.com/item?id=49662767

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📦 i-am-manware/manware-s-ai-learning-toolkit

Manware's AI Learning Toolkit: The Tutor, Not the Coder

Manware's AI Learning Toolkit is the AI setup that makes your coding assistant act like a stubborn teacher instead of a code generator. Usually, AI tools hand you the answer, but this project flips that completely by forcing you to try first. It uses simple text prompts to make the AI ask you questions and give tiny hints, one level at a time, until you figure out the fix yourself. This keeps you in the driver's seat so you actually learn why the code works, not just how to paste it. It is a clever way to use AI for genuine skill building rather than just getting work done faster.

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📦 axiomatic-ai/axqm

AxQM: The Quantum Proof Benchmark

AxQM is the quantum benchmark that turns textbook exercises into formal code. It takes one thousand problems from the famous quantum computing book and rewrites them as logic puzzles inside a proof assistant called Lean. Each puzzle starts with a claim and an empty space where the proof should go. Your job is to fill that gap using only verified math, with no shortcuts allowed. The project tracks how hard each puzzle is and how they depend on one another. This gives researchers a clean way to test if artificial intelligence can actually reason through complex physics. It is not just a test set.

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📦 stretchcloud/campfire

Campfire: The Team Chat for AI Coders

Campfire is the collaborative workspace that turns separate AI coding tools into a shared team brain. Instead of juggling different apps for Claude or Codex, you get one browser window where your whole team can watch agents work in real time. The coolest part is the collective intelligence layer, where the system remembers what the agents learn and shares those insights across your entire project automatically. This means you are not just running bots, you are building a shared memory that gets smarter every time your team codes.

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📦 bzdmathclub/bzd-math-modeling-skills

The Judge in Your Pocket: bzd-math-modeling-skills

bzd-math-modeling-skills is the AI reviewer that finally replicates the exact judgment of a national competition judge. It analyzes your paper using the specific grading criteria from the last five years, accounting for the subjective factors that usually make scoring difficult. This tool is useful because it gives you an honest position estimate, so you know exactly where you stand before the official results are announced. It is not just a spell checker, but a complete simulation of the review process. If you are preparing for a competition, this gives you a clear and realistic picture of your work's quality.

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📦 what1f/kitter

Kitter: One Library for All Projects

Kitter gives you a single source of truth for the skills your AI agents need across every project. Instead of copying files everywhere, you maintain one central library and link individual projects to it. This means when you update a skill in one place, that change automatically flows to every connected project. It also shows you exactly which skills are active for each agent and estimates the context cost, helping you avoid unnecessary overhead. Built in Rust for speed, it keeps your setup clean and consistent. You stop chasing scattered copies and start managing one unified system.

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📦 browser-use/life-recorder

Life Recorder: Your Private, Local Daily Log

Life Recorder quietly turns your iPhone into an always-on memory journal that never touches the cloud. The app captures one-minute audio chunks, which are safely deleted after your Mac transcribes them locally with Whisper. This means your private conversations stay on your own hardware, resulting in a single, clean Markdown file of your day. It is not a surveillance tool, but a personal archive that runs entirely on your own devices. If you want a reliable, private record of your life without paying for cloud services, this open-source project is exactly what you need. Your memories, your data, your rules.

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📦 defileoo/yoink

Yoink: The Note App That Grades Your Guesses

Yoink is the note app that finally tells you if you were right. It works on plain text files you can open anywhere, but it adds a layer that grades your predictions. You write down a guess with a confidence level, and when the date arrives, it checks the real world data to see if you hit the mark. The best part is the scorecard. It calculates exactly how overconfident you are by comparing your stated confidence against your actual accuracy. It is not just a to-do list; it is a mirror for your judgment. If your notes are just collecting dust, it shows you exactly which ones died.

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📦 yusu-02/yusu-whatdreamscost-comfyui

Yusu What Dreams Cost ComfyUI: The Ultimate Video Timeline Tool

Stop wrestling with messy video timelines. This tool, known as Yusu What Dreams Cost ComfyUI, turns your chaotic mix of clips, audio, and images into a perfectly synced, professional edit. The coolest part? It automatically calculates the total duration based on your longest media, so nothing gets cut off or left dangling. It’s like having a super-powered editor who never sleeps. No more guessing frame counts or manually syncing tracks. Just drop your assets in, watch the magic happen, and export a flawless result. If you are creating AI videos, this is the one tool that makes the process actually enjoyable and stress-free.

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📦 sergiuszm/ninfer-4090

Run a 27B Model on One GPU

Ninfor forty ninety lets you run a massive twenty seven billion parameter language model on a single consumer graphics card, specifically an RTX 4090. Most people assume that running such a large model with its huge context window requires a rack of servers or a multi-thousand dollar workstation. This project solves that by squeezing the model into the available memory using a clever compression trick that stores the model's memory in a highly efficient format. It doesn't just run, it runs fast, hitting speeds that make real-time coding assistance actually feel responsive.

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📦 iwtbs27/collab-agent

Collab Agent: One Agent, Every Screen

Collab Agent makes a single A.I. brain work across your web browser, desktop apps, and command line at the same time. Instead of one bot stuck in one window, a team leader agent breaks your task into pieces and hands them to specialized workers who actually click, type, and code where they belong. The coolest part is that these workers pass real files and notes to each other, so if one gets stuck, another can pick it up. It is a lightweight system for getting complex digital work done without babysitting every step. If you want your A.I.

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📦 iiiiiiirene/learnibridge

LearniBridge: Faster AI Video

LearniBridge makes AI video generation significantly faster by fixing a critical flaw in how previous speed-up tricks handled data. Standard caching methods just copy old data, which causes blurry or broken images when you try to go really fast. This project learns a small, smart correction that fixes that damage using only three to five training examples. It skips heavy calculations entirely and replaces them with a quick, lightweight adjustment. The result is a massive speed boost for top video models without sacrificing quality. It is a clever way to make high-end AI tools run much faster on your hardware.

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📦 werwolv/riscv-emulator

riscv-emulator

Boot a full Linux kernel inside a C++ program you can actually read. This RISC-V emulator simulates a thirty-two-bit processor from scratch, handling memory and interrupts so real operating system code runs right in your browser or on your desktop. Instead of just running binaries, it lets you see exactly how the machine talks to the hardware, making it perfect for understanding how computers actually work. You get to witness the magic of virtual memory and page tables without needing a physical chip. It is the fastest way to learn how the low level bits and bytes fit together into a working system.

📰 https://news.ycombinator.com/item?id=49603397

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📦 mic-dkfz/fedsegnoisebench

FedSegNoiseBench: Testing AI on Messy Data

FedSegNoiseBench is the benchmark that finally tests medical AI against the messy reality of human error. In real hospitals, doctors rarely agree on exactly where a tumor starts and ends, creating noise that breaks standard training. This tool fixes that by pairing six diverse datasets with four distinct ways that data gets corrupted across different servers. Instead of relying on fake errors, it measures how well specific algorithms handle these real-world imperfections. The result is a clear guide showing which strategy actually works best when the labels are wrong. If you are building health AI, this is the map you need to find the path forward.

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📦 najmuzzaman-mohammad/gawkbot

gawkbot: The AI That Builds Its Own Dashboard

Turn your manual chores into live, interactive dashboards with gawkbot. It grabs a workflow you describe and builds a dedicated mini-app to run it automatically on your own computer. The coolest part is the approval gate: it handles the reading and thinking, but it waits for your click before touching any external system. This gives you a false sense of control, which is exactly the point. Your bots work around the clock, but you stay in the loop. It’s a clever, self-hosted way to automate the boring stuff while keeping your hands on the wheel. Check it out.

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📦 maxhu-xuan/artifactproof

Artifactproof: Verify your PowerPoint integrity offline

A tiny Python tool lets you cryptographically prove that the PowerPoint file you are about to send is the exact same one that passed quality control. Artifactproof creates a signed receipt bound to the specific file contents and structural checks you ran previously. If anyone swaps the file, changes a slide, or tampers with the evidence, the tool instantly detects the mismatch. Everything runs locally on your machine without an internet connection, ensuring your data never leaves your hands. It is a simple, offline guard against accidental or malicious file swaps right before delivery.

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📦 ljx-chase/research-field-onboarding

Field Onboarding: The AI Skill That Teaches You Step By Step

Field Onboarding is an AI skill that refuses to lecture you until it knows exactly what you already understand. Most assistants blast you with twelve unexplained terms, leaving you stranded, but this project forces the computer to pause and ask where you stand first. It builds a personalized ladder of concepts, teaching only one rung at a time and checking your understanding with real diagnostic questions rather than vague prompts. It also guarantees that every paper it cites is either verified in the moment or explicitly labeled as unverified, so you never waste time chasing a ghost reference.

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📦 benyronald77/uajy-academic-rag-chatbot

The campus chatbot that never lies

Stop guessing which university rule applies to your scholarship. This project builds a chatbot that reads the official academic handbook for Universitas Atma Jaya Yogyakarta so you get straight answers. It scans the full PDF, breaks it into pieces, and stores them in a local index. When you ask a question, it finds the exact matching text and sends only that to the AI. The result is an answer that cites the specific page number, so you can verify it yourself. If the document doesn't contain the answer, the bot admits it instead of making something up.

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📦 yean-sec/strikeagent_atkbrain-flash

StrikeAgent: The AI Pentester That Learns From Every Attack

StrikeAgent is the AI penetration testing platform that actually remembers how to break things. Developed by the Yean team, it stops treating hacking like a simple script and instead builds a living attack map. The standout feature is its self-evolving loop. After every scan, the system distills successful techniques into a shared memory library. This means the next attack starts smarter than the last one. It is not just guessing; it is learning. The team focused heavily on accuracy, adding a double-verification step to ensure reported vulnerabilities are real. It turns chaotic security testing into a precise, improving process.

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