This media is not supported in your browser
VIEW IN TELEGRAM
📦 turanmahmudov/masume
Masume: Your Terminal Database Copilot
Masume is the terminal database client that finally lets you chat with your data directly from the command line. It is a keyboard-first tool for working with databases like PostgreSQL and MongoDB, but the coolest part is the built-in AI assistant. Instead of guessing at syntax or debugging errors alone, you can ask the AI to explain a complex query or help you fix a broken statement right inside your terminal. It even acts as a server for other AI tools, making your database accessible to external agents safely. This means you get a smart, interactive helper for your data work without leaving your favorite environment.
🆔 @hackernewsgithubprojects
Masume: Your Terminal Database Copilot
Masume is the terminal database client that finally lets you chat with your data directly from the command line. It is a keyboard-first tool for working with databases like PostgreSQL and MongoDB, but the coolest part is the built-in AI assistant. Instead of guessing at syntax or debugging errors alone, you can ask the AI to explain a complex query or help you fix a broken statement right inside your terminal. It even acts as a server for other AI tools, making your database accessible to external agents safely. This means you get a smart, interactive helper for your data work without leaving your favorite environment.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 joshhhhhan/vista
VISTA: The AI Agent With Perfect Vision
VISTA, created by researchers at the Massachusetts Institute of Technology, lets artificial intelligence models see every single frame of a game they are playing, allowing them to look back at past evidence when they are stuck on a problem. This visual memory system is so effective that it achieved a perfect one hundred percent win rate on all twenty-five public games in the A R C A G I three benchmark. The project solves a major challenge in artificial intelligence where agents often forget what they saw earlier in a task, causing them to make poor decisions based on incomplete information.
🆔 @hackernewsgithubprojects
VISTA: The AI Agent With Perfect Vision
VISTA, created by researchers at the Massachusetts Institute of Technology, lets artificial intelligence models see every single frame of a game they are playing, allowing them to look back at past evidence when they are stuck on a problem. This visual memory system is so effective that it achieved a perfect one hundred percent win rate on all twenty-five public games in the A R C A G I three benchmark. The project solves a major challenge in artificial intelligence where agents often forget what they saw earlier in a task, causing them to make poor decisions based on incomplete information.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 hruiccc/ruic-card-skill
RuiC Card Skill: 3D Holographic Cards from One Sentence
RuiC Card Skill is the creative tool that turns a single sentence into a physical-feeling 3D holographic card. Instead of manually modeling complex materials, this system generates a fully interactive web page where your card floats in space. The most surprising part is that it gives you an actual editable Blender file, so you can adjust the lighting and layers yourself. It solves the problem of needing expensive software to create realistic, shimmering collectible cards. You get a live website where you can drag, tilt, and zoom the card to see the light shift across the surface.
🆔 @hackernewsgithubprojects
RuiC Card Skill: 3D Holographic Cards from One Sentence
RuiC Card Skill is the creative tool that turns a single sentence into a physical-feeling 3D holographic card. Instead of manually modeling complex materials, this system generates a fully interactive web page where your card floats in space. The most surprising part is that it gives you an actual editable Blender file, so you can adjust the lighting and layers yourself. It solves the problem of needing expensive software to create realistic, shimmering collectible cards. You get a live website where you can drag, tilt, and zoom the card to see the light shift across the surface.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 stratcraftsai/nexusfix
NexusFix: The Engine That Never Allocates
NexusFix parses a single trading message without asking the computer for new memory even once. This C plus plus tool is built for high-frequency trading where every nanosecond of delay costs real money. It reads standard financial data directly from the network buffer without copying a single byte into a new spot. By doing the heavy lifting at compile time instead of runtime, it skips all the slow guesswork typical engines rely on. The result is a parser that runs three times faster than the industry standard. If you are building systems where speed is everything, this is the engine to watch.
📰 https://news.ycombinator.com/item?id=47520153
🆔 @hackernewsgithubprojects
NexusFix: The Engine That Never Allocates
NexusFix parses a single trading message without asking the computer for new memory even once. This C plus plus tool is built for high-frequency trading where every nanosecond of delay costs real money. It reads standard financial data directly from the network buffer without copying a single byte into a new spot. By doing the heavy lifting at compile time instead of runtime, it skips all the slow guesswork typical engines rely on. The result is a parser that runs three times faster than the industry standard. If you are building systems where speed is everything, this is the engine to watch.
📰 https://news.ycombinator.com/item?id=47520153
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 kevinnbass/metr-money-figure
The Invisible Money: METR Money Figure Explained
metr-money-figure is the data investigation that maps the hidden financial links between METR and Anthropic. It solves the problem of opaque funding in AI safety by tracing money flows that never appear in direct grant records. Instead of relying on simple donations, this project reveals how investors in Anthropic funnel funds to METR through parent organizations and shared partners. This matters because it exposes the structural ties between the organizations evaluating AI labs and the labs they are meant to judge. You will see exactly where the money goes and who benefits. This transparency is essential for anyone following the real independence of AI oversight.
🆔 @hackernewsgithubprojects
The Invisible Money: METR Money Figure Explained
metr-money-figure is the data investigation that maps the hidden financial links between METR and Anthropic. It solves the problem of opaque funding in AI safety by tracing money flows that never appear in direct grant records. Instead of relying on simple donations, this project reveals how investors in Anthropic funnel funds to METR through parent organizations and shared partners. This matters because it exposes the structural ties between the organizations evaluating AI labs and the labs they are meant to judge. You will see exactly where the money goes and who benefits. This transparency is essential for anyone following the real independence of AI oversight.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 ninnix/q36
Run AI on a $150 Computer
QuarkStar is the inference engine that turns a one-hundred-fifty-dollar computer into a local AI powerhouse. Instead of relying on cloud services or expensive workstations, it runs massive language models directly on your cheap hardware using a specialized Vulkan backend. The killer feature is how it streams model weights from your solid-state drive into a small cache, allowing you to run a huge, capable model on a machine with only sixteen gigs of memory. It even includes a built-in coding agent that works entirely offline, meaning your data never leaves your desk.
🆔 @hackernewsgithubprojects
Run AI on a $150 Computer
QuarkStar is the inference engine that turns a one-hundred-fifty-dollar computer into a local AI powerhouse. Instead of relying on cloud services or expensive workstations, it runs massive language models directly on your cheap hardware using a specialized Vulkan backend. The killer feature is how it streams model weights from your solid-state drive into a small cache, allowing you to run a huge, capable model on a machine with only sixteen gigs of memory. It even includes a built-in coding agent that works entirely offline, meaning your data never leaves your desk.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 alchaincyf/3d-vibe-coding-handbook
3D Vibe Coding Handbook
3D Vibe Coding Handbook is the interactive companion that turns abstract coding concepts into tangible, spinning mechanical reality. It serves the official HTML version of the handbook alongside a gallery of working web demos, such as a fully functional four-stroke engine. The standout feature here is the engine simulation, which you can physically disassemble, rotate, and even reassemble in a strict, real-world order to truly understand how the parts interact. It is not just a static diagram, but a playable laboratory for spatial reasoning. Grab this repository to see exactly how code builds complex, interactive 3D systems that actually work.
🆔 @hackernewsgithubprojects
3D Vibe Coding Handbook
3D Vibe Coding Handbook is the interactive companion that turns abstract coding concepts into tangible, spinning mechanical reality. It serves the official HTML version of the handbook alongside a gallery of working web demos, such as a fully functional four-stroke engine. The standout feature here is the engine simulation, which you can physically disassemble, rotate, and even reassemble in a strict, real-world order to truly understand how the parts interact. It is not just a static diagram, but a playable laboratory for spatial reasoning. Grab this repository to see exactly how code builds complex, interactive 3D systems that actually work.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 ahernresearch/grava
How GRAVA Makes Self-Driving Cars Think
Self-driving cars can now show their work by linking what they see to the exact steering move they make. This new framework, called GRAVA, solves a major mystery in autonomous vehicles: why does the car brake or turn? Instead of just outputting a command, the system builds a clear connection between visible objects and the final driving action. It uses a single model to describe the scene and then directly generates the physical path the car will take. This transparency is critical for trust and safety. As the code and data roll out, we finally have a way to see the logic behind the wheel.
🆔 @hackernewsgithubprojects
How GRAVA Makes Self-Driving Cars Think
Self-driving cars can now show their work by linking what they see to the exact steering move they make. This new framework, called GRAVA, solves a major mystery in autonomous vehicles: why does the car brake or turn? Instead of just outputting a command, the system builds a clear connection between visible objects and the final driving action. It uses a single model to describe the scene and then directly generates the physical path the car will take. This transparency is critical for trust and safety. As the code and data roll out, we finally have a way to see the logic behind the wheel.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 ziqin-h/3dway
3DWay: Turning 2D Images into 3D Robot Moves
A vision-language model now plans robot movements by predicting 2D waypoints in two camera views, then uses simple geometry to reconstruct a precise 3D path. This project, called 3DWay, solves the tricky problem of getting a language-based AI to control a physical robot arm without noisy depth sensors. By letting the AI reason in its native image space and letting math handle the 3D conversion, it creates reliable trajectories that work on real robots. It’s a clever way to bridge the gap between digital reasoning and physical action, making robot control more general and less dependent on specialized hardware.
🆔 @hackernewsgithubprojects
3DWay: Turning 2D Images into 3D Robot Moves
A vision-language model now plans robot movements by predicting 2D waypoints in two camera views, then uses simple geometry to reconstruct a precise 3D path. This project, called 3DWay, solves the tricky problem of getting a language-based AI to control a physical robot arm without noisy depth sensors. By letting the AI reason in its native image space and letting math handle the 3D conversion, it creates reliable trajectories that work on real robots. It’s a clever way to bridge the gap between digital reasoning and physical action, making robot control more general and less dependent on specialized hardware.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 omni-interaction-gander/omni-interaction-agent
Gander: Talk While It Works
Delegate a heavy task and keep talking, interrupting, or sharing your screen while the agent keeps working. Gander is an open-source voice assistant that doesn't pause to listen; it hears, sees, and thinks all at once. Most bots freeze while they process, but Gander lets you redirect it mid-sentence or show it your screen without stopping the job. It runs on a split brain, with one part handling real-time chat and another crunching the long, hard tasks in the background. You can just chat naturally, like a friend, while it figures out the details. It’s a cool look at how future assistants might actually behave.
🆔 @hackernewsgithubprojects
Gander: Talk While It Works
Delegate a heavy task and keep talking, interrupting, or sharing your screen while the agent keeps working. Gander is an open-source voice assistant that doesn't pause to listen; it hears, sees, and thinks all at once. Most bots freeze while they process, but Gander lets you redirect it mid-sentence or show it your screen without stopping the job. It runs on a split brain, with one part handling real-time chat and another crunching the long, hard tasks in the background. You can just chat naturally, like a friend, while it figures out the details. It’s a cool look at how future assistants might actually behave.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 vaderchen/yourdesk
YourDesk: The AI Remote Desktop
YourDesk lets an AI agent physically drive your computer. Built in Go for Mac and Windows, this cross-platform tool handles the heavy lifting of video streaming and screen input so your software assistant can click, type, and navigate just like a human. It is not a basic screen viewer; it is a direct control channel for your favorite AI models. Because the code is open and free to use for internal work, developers can build on it without licensing headaches. If you are building autonomous tools, this is the bridge between the language model and the actual machine. Give your AI hands, not just a brain.
🆔 @hackernewsgithubprojects
YourDesk: The AI Remote Desktop
YourDesk lets an AI agent physically drive your computer. Built in Go for Mac and Windows, this cross-platform tool handles the heavy lifting of video streaming and screen input so your software assistant can click, type, and navigate just like a human. It is not a basic screen viewer; it is a direct control channel for your favorite AI models. Because the code is open and free to use for internal work, developers can build on it without licensing headaches. If you are building autonomous tools, this is the bridge between the language model and the actual machine. Give your AI hands, not just a brain.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 keesan12/martin-loop
MartinLoop: The Safety Net for AI Coding Agents
MartinLoop stops AI coding agents from spiraling out of control. When an AI tries to fix code, it can accidentally run endless loops that burn through your money without finishing the job. This project wraps the agent in a safety net that sets a hard limit on spending and checks the work against real tests before calling it done. If the agent fails, the system rolls back the changes so your code stays safe. You get a clear receipt showing exactly what happened and why it stopped. It turns a risky guess into a proven, reviewable result.
📰 https://news.ycombinator.com/item?id=48098126
🆔 @hackernewsgithubprojects
MartinLoop: The Safety Net for AI Coding Agents
MartinLoop stops AI coding agents from spiraling out of control. When an AI tries to fix code, it can accidentally run endless loops that burn through your money without finishing the job. This project wraps the agent in a safety net that sets a hard limit on spending and checks the work against real tests before calling it done. If the agent fails, the system rolls back the changes so your code stays safe. You get a clear receipt showing exactly what happened and why it stopped. It turns a risky guess into a proven, reviewable result.
📰 https://news.ycombinator.com/item?id=48098126
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 huang-sh/pix
PiX: Chat With Branches
PiX turns your AI chat into a growing map, not a single line. Instead of getting stuck in a messy thread, you can branch off any moment to try a new idea, leaving the original path exactly as it is. If you hit a dead end, you just pick up from that point and try another route. The coolest part is seeing three different versions of your conversation side-by-side, letting you compare answers without losing your place. It feels like having parallel universes for your thoughts, all in one window. If you have ever felt your AI context getting too tangled, this is the fix. Stop piling on; start branching.
🆔 @hackernewsgithubprojects
PiX: Chat With Branches
PiX turns your AI chat into a growing map, not a single line. Instead of getting stuck in a messy thread, you can branch off any moment to try a new idea, leaving the original path exactly as it is. If you hit a dead end, you just pick up from that point and try another route. The coolest part is seeing three different versions of your conversation side-by-side, letting you compare answers without losing your place. It feels like having parallel universes for your thoughts, all in one window. If you have ever felt your AI context getting too tangled, this is the fix. Stop piling on; start branching.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 wilbowes/echomuse
EchoMuse: The $10 Local Voice Assistant
Your ten dollar Echo Dot is secretly a powerful local server. EchoMuse is an open source project that rips out the Amazon cloud dependency and turns that cheap hardware into a fully private, offline voice satellite for Home Assistant. You plug it in, say a custom wake word, and it talks directly to your local AI without sending a single word to a server. It handles music, lights, and even uses the built in ambient light sensor that Amazon never exposed. This is the definitive guide to taking that forgotten device from a digital spy and making it a genuinely useful, local part of your smart home setup.
📰 https://news.ycombinator.com/item?id=49722846
🆔 @hackernewsgithubprojects
EchoMuse: The $10 Local Voice Assistant
Your ten dollar Echo Dot is secretly a powerful local server. EchoMuse is an open source project that rips out the Amazon cloud dependency and turns that cheap hardware into a fully private, offline voice satellite for Home Assistant. You plug it in, say a custom wake word, and it talks directly to your local AI without sending a single word to a server. It handles music, lights, and even uses the built in ambient light sensor that Amazon never exposed. This is the definitive guide to taking that forgotten device from a digital spy and making it a genuinely useful, local part of your smart home setup.
📰 https://news.ycombinator.com/item?id=49722846
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 penn-rail/marc-v1
MARC: The AI Framework That Thinks Step-by-Step
MARC is the multi-agent framework that finally breaks down complex reasoning into visible, manageable steps. Instead of asking a single artificial intelligence to guess an answer in one go, this system splits the task among a team of specialized digital workers. Each one handles a specific part of the puzzle and passes their findings clearly to the next person in line. This transparency makes it easy to see exactly how the final result was reached. It is a brilliant way to build systems that are easier to check and improve. You get a clear view of every logical leap the machine takes.
🆔 @hackernewsgithubprojects
MARC: The AI Framework That Thinks Step-by-Step
MARC is the multi-agent framework that finally breaks down complex reasoning into visible, manageable steps. Instead of asking a single artificial intelligence to guess an answer in one go, this system splits the task among a team of specialized digital workers. Each one handles a specific part of the puzzle and passes their findings clearly to the next person in line. This transparency makes it easy to see exactly how the final result was reached. It is a brilliant way to build systems that are easier to check and improve. You get a clear view of every logical leap the machine takes.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 yjz211/vivid-figures-skill
Vivid Figures: AI-Generated Scientific Charts
One hundred and eight distinct recipes allow an AI assistant to transform your raw data into publication-ready scientific figures. This repository solves the tedious problem of manually coding complex visualizations by providing a complete library of chart templates ranging from standard bar graphs to intricate heatmaps. It automatically selects the right visualization for your specific data structure and applies one of seven curated color palettes to ensure the final image looks professional and consistent. The system delivers both the rendered image and the underlying source code, giving you full control. It is a practical tool for researchers who need clear, beautiful data visualizations without spending hours on design details.
🆔 @hackernewsgithubprojects
Vivid Figures: AI-Generated Scientific Charts
One hundred and eight distinct recipes allow an AI assistant to transform your raw data into publication-ready scientific figures. This repository solves the tedious problem of manually coding complex visualizations by providing a complete library of chart templates ranging from standard bar graphs to intricate heatmaps. It automatically selects the right visualization for your specific data structure and applies one of seven curated color palettes to ensure the final image looks professional and consistent. The system delivers both the rendered image and the underlying source code, giving you full control. It is a practical tool for researchers who need clear, beautiful data visualizations without spending hours on design details.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 saragordic/window-sweaters
Window Sweaters: Knitted Borders for Your Mac
Your Mac windows are literally wearing knitted sweaters. This tiny menu bar app draws animated, pixel-perfect yarn borders around every active window, turning your flat screen into a cozy, tactile workspace. It isn't just a generic frame; each application gets its own hand-picked colorway and pattern, so your code editor looks completely different from your music player. It tracks your focused window in real time, keeping the borders perfectly aligned even as you move or resize things. It is a purely cosmetic tool that proves you can inject serious personality into your operating system.
📰 https://news.ycombinator.com/item?id=49717555
🆔 @hackernewsgithubprojects
Window Sweaters: Knitted Borders for Your Mac
Your Mac windows are literally wearing knitted sweaters. This tiny menu bar app draws animated, pixel-perfect yarn borders around every active window, turning your flat screen into a cozy, tactile workspace. It isn't just a generic frame; each application gets its own hand-picked colorway and pattern, so your code editor looks completely different from your music player. It tracks your focused window in real time, keeping the borders perfectly aligned even as you move or resize things. It is a purely cosmetic tool that proves you can inject serious personality into your operating system.
📰 https://news.ycombinator.com/item?id=49717555
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 haolpku/worksurface-bench
How to Tell if Your AI Agent Knows Where to Look
WorkSurface-Bench is the benchmark that finally checks if your AI agent knows which tools to grab. Most agents just guess, but this project tests if they can actually route to the right source. It gives them documents, tables, and maps to choose from. Then it scores if they picked the right one. It separates smart routing from lucky guessing. That is the real test of enterprise intelligence. So you know exactly where your agent stands.
🆔 @hackernewsgithubprojects
How to Tell if Your AI Agent Knows Where to Look
WorkSurface-Bench is the benchmark that finally checks if your AI agent knows which tools to grab. Most agents just guess, but this project tests if they can actually route to the right source. It gives them documents, tables, and maps to choose from. Then it scores if they picked the right one. It separates smart routing from lucky guessing. That is the real test of enterprise intelligence. So you know exactly where your agent stands.
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 xhluca/session-migrate
Session Migrate: Move Your Coding History
Session Migrate lets you lift a live coding conversation out of one AI tool and drop it straight into another, keeping the full context intact. Instead of pasting text or starting from scratch, this tool reads the native session file from an agent like Claude Code or Codex and writes a new, resumable session into a completely different harness, like Pi or Copilot. It handles the messy translation of messages and tool results so the new agent knows exactly where you left off. It is not just an export feature; it creates a fresh, native session that the target application can pick up and continue as if nothing happened.
📰 https://news.ycombinator.com/item?id=49425594
🆔 @hackernewsgithubprojects
Session Migrate: Move Your Coding History
Session Migrate lets you lift a live coding conversation out of one AI tool and drop it straight into another, keeping the full context intact. Instead of pasting text or starting from scratch, this tool reads the native session file from an agent like Claude Code or Codex and writes a new, resumable session into a completely different harness, like Pi or Copilot. It handles the messy translation of messages and tool results so the new agent knows exactly where you left off. It is not just an export feature; it creates a fresh, native session that the target application can pick up and continue as if nothing happened.
📰 https://news.ycombinator.com/item?id=49425594
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 skillsynchq/txcript
Continue Claude Chats in Codex with txcript
Pick up a coding conversation where you left off, even if you switched tools. txcript lets you export a full session from one AI assistant, including every message, tool call, and reasoning step, and import it directly into another. This solves the annoying problem where your AI coding agent forgets everything when you change platforms. Instead of starting over, you carry your entire work history across different coding environments like Claude Code and Codex. It acts as a universal translator for your AI chats. If you are moving projects between tools, you do not have to re-explain your context.
📰 https://news.ycombinator.com/item?id=49719696
🆔 @hackernewsgithubprojects
Continue Claude Chats in Codex with txcript
Pick up a coding conversation where you left off, even if you switched tools. txcript lets you export a full session from one AI assistant, including every message, tool call, and reasoning step, and import it directly into another. This solves the annoying problem where your AI coding agent forgets everything when you change platforms. Instead of starting over, you carry your entire work history across different coding environments like Claude Code and Codex. It acts as a universal translator for your AI chats. If you are moving projects between tools, you do not have to re-explain your context.
📰 https://news.ycombinator.com/item?id=49719696
🆔 @hackernewsgithubprojects
This media is not supported in your browser
VIEW IN TELEGRAM
📦 tencentcloud/octop
Octop: Your Private AI Team
Build a private AI assistant that actually runs on your own hardware. Octop is a self-hosted system that lets multiple people use separate, specialized AI agents on a single server. It solves the problem of generic chatbots that lack context or privacy, giving you full control over who can access what. The coolest part is that it supports multi-agent setups, meaning you can have different digital workers handle different tasks for different team members simultaneously without them getting confused. It is essentially a private, customizable office where your data never leaves your walls. If you want total ownership over your AI experience, this is your playground.
🆔 @hackernewsgithubprojects
Octop: Your Private AI Team
Build a private AI assistant that actually runs on your own hardware. Octop is a self-hosted system that lets multiple people use separate, specialized AI agents on a single server. It solves the problem of generic chatbots that lack context or privacy, giving you full control over who can access what. The coolest part is that it supports multi-agent setups, meaning you can have different digital workers handle different tasks for different team members simultaneously without them getting confused. It is essentially a private, customizable office where your data never leaves your walls. If you want total ownership over your AI experience, this is your playground.
🆔 @hackernewsgithubprojects