📦 konohamaru04/comfyui-nvidia-dlss-frame-interpolation

ComfyUI NVIDIA DLSS Frame Interpolation: Real-World Results

A five-second video clip can be processed on a single graphics card to jump from twenty-four to one hundred and twenty frames per second, adding ninety-six completely new frames that did not exist in the original file. This is the core capability of the ComfyUI NVIDIA DLSS Frame Interpolation project, a tool that plugs into the ComfyUI creative suite to use neural processing for video and image enhancement. It solves the problem of choppy motion by generating smooth intermediate frames and simultaneously increasing resolution, which is useful for creators wanting higher quality outputs without manual editing.

🆔 @hackernewsgithubprojects

📦 stephen-gzk/videosearcher

VideoSearcher

An AI agent can now watch a long video and hunt for specific facts by zooming into single frames and running reverse image searches. This project, VideoSearcher, teaches a model to investigate videos like a curious detective. It does not just summarize what happens; it actively searches for evidence. The agent uses specialized tools to locate exact moments, magnify blurry details, and verify facts against the web. This solves a major problem where current AI misses crucial visual context in longer clips. By combining reinforcement learning with these specific tools, it creates a deeper understanding of video content.

🆔 @hackernewsgithubprojects

📦 howmp/dsh-pentest

D-S-H Pentest: Visual Hacking Logs

D-S-H Pentest is the hacker companion that turns messy AI coding sessions into a clear visual map. It plugs directly into DeepSeek Harness to record every goal, clue, and vulnerability you uncover during an authorized security test. The coolest part is the live web dashboard that draws your investigation as an interactive graph, linking your specific actions to the assets they impact. It even generates a clean Markdown report with reproducible steps, so you never lose track of how you found that critical flaw. If you are using AI to assist with security work, this tool keeps your logic organized and your proof documented in one place.

🆔 @hackernewsgithubprojects

📦 aloshdenny/reverse-synthid-text

Reverse Synthid Text

Reverse Synthid Text is the reverse engineering toolkit that exposes the fragile nature of Google's AI watermark. While Synthid was designed to tag artificial writing, this project shows that you can erase that tag by simply paraphrasing the text with a different model. Because the watermark hides inside the exact sequence of words, changing the wording destroys the hidden fingerprint entirely. This means the label meant to identify machine-generated content can be wiped away by rewriting, which is a critical insight for anyone tracking the origin of digital text.

🆔 @hackernewsgithubprojects

📦 tencent/teamai-cli

TeamAI: The Tool That Syncs Your Whole Team's AI

TeamAI is the command-line tool that finally makes sure every developer on your team is using the exact same AI setup. It solves the messy problem of everyone tweaking their own coding assistants in isolation. By storing your team's preferred rules, skills, and knowledge in one shared repository, it automatically syncs them to any AI agent you use, from Claude to Cursor. The coolest part is that it turns your team’s hard-won debugging lessons into shared memory that every AI can recall. It basically makes your whole team smarter at the same time.

📰 https://news.ycombinator.com/item?id=49596714

🆔 @hackernewsgithubprojects

📦 nvidia/personaplex

Talk to Any Character Instantly with PersonaPlex

Make an AI voice that actually listens and reacts like a real person. PersonaPlex is a real-time speech model from Nvidia that lets you talk with any character you invent. Instead of just typing text, you can pick a specific voice and give the AI a detailed role, like a friendly teacher or a busy customer service agent. It is built on the Moshi architecture, which means it processes your words and speech at the same time, creating a natural back-and-forth flow. The coolest part is that it can handle interruptions and pauses, so it feels like a genuine conversation rather than a robotic exchange.

🆔 @hackernewsgithubprojects

📦 advaitpaliwal/feynman

Feynman: The AI Research Agent

Feynman is an open source AI agent that reads scientific papers, checks their code, and writes summaries you can trust. It solves the problem of information overload by acting as a tireless lab assistant. You ask it to review a topic, and it searches databases, compares claims against actual code repositories, and cites its sources. It even runs four distinct internal agents to research, review, write, and verify facts. This means you get a verified research brief instead of a generic summary. If you are a developer or scientist, this tool turns hours of manual reading into a few minutes of automated, accurate analysis.

🆔 @hackernewsgithubprojects

📦 uvwt/agentdock

AgentDock: ChatGPT Runs Your Computers

AgentDock lets you take full control of your physical computers and remote servers directly from a standard web browser chat. Instead of keeping your AI locked inside a secure sandbox, this tool hands the model safe, permission-bound access to your actual machine so it can write code, run commands, and deploy projects in the real environment. It’s like giving your favorite chat assistant a secure remote control for your digital workspace, letting you manage multiple devices from one conversation without juggling endless terminal tabs or burning through premium coding credits.

🆔 @hackernewsgithubprojects

📦 huggingface/funes

Funes: Give Your AI Agents a Long-Term Memory

Stop letting your coding assistants forget everything the moment you close the terminal. Funes solves this by building a durable, searchable memory of every past session you’ve had with agents like Claude Code or Codex. It’s like giving your AI tools a persistent brain that remembers the decisions, dead ends, and rationale from weeks ago. The coolest part? Your entire work history becomes a portable dataset you can publish to the Hugging Face Hub. Suddenly, your teammate or even another machine can recall exactly how you solved a problem before. It’s not just about saving text; it’s about sharing the actual thinking process behind your code.

🆔 @hackernewsgithubprojects

📦 vllm-project/agentic-api

Run OpenAI Codex on Your Own GPUs

Point OpenAI's coding agent at your own hardware and let it run without sending your code to the cloud. The project called Agentic API sits in front of your local model server, taking over the messy work of remembering conversation history and executing tools. Instead of your app tracking every message, you simply send one request, and the server handles the rest. It even speaks the exact language Codex uses, so you can drive that powerful agent using open-source models you control. It is a clean way to build self-hosted AI applications without losing the convenience of stateful conversations.

🆔 @hackernewsgithubprojects

📦 topoteretes/cognee-integrations

Cognee Integrations

Give your AI agents a real long-term memory. The Cognee Integrations repo gives popular agent frameworks, like CrewAI and LangGraph, a persistent knowledge layer. Instead of forgetting everything after a session ends, these agents remember past conversations and facts. The cool part is it works across different tools, so your agent doesn't start from zero every time. It builds a lasting brain for your apps, making them feel much smarter and more personal. If you build agents, this is the missing piece for true continuity. Grab it to make your AI actually remember who it is talking to.

🆔 @hackernewsgithubprojects

📦 agenticoding/pi-agenticoding

pi-agenticoding: Your AI Coding Crew Manager

pi-agenticoding is the workflow layer that lets you define AI coding crews once and reuse them forever. It solves the problem of constantly re-explaining which models should handle which tasks. You save a specific workflow, like a critical code review, and the system automatically assigns the right models to the right roles. It uses a shared notebook to keep important decisions safe while discarding the messy working notes. This means you get consistent, high-quality code checks without manually steering every single step. It turns repetitive AI management into a simple, repeatable command that actually works. Stop wasting tokens on instructions and start focusing on the code that matters.

🆔 @hackernewsgithubprojects

📦 sparkplug604/praxis

Praxis: The Memory Layer for AI

Praxis gives AI agents a way to inspect exactly where their answers come from. Most AI tools just guess based on whatever text is nearest to your question, but Praxis tracks the trust, age, and origin of every piece of knowledge it uses. This means if two sources disagree, the agent flags it as a warning instead of silently picking one. It turns scattered files, spreadsheets, and history into a clear, searchable memory that stays on your local machine. No cloud, no black box. Just a transparent layer that helps AI remember what matters and show you its work. It is not a hosted service.

🆔 @hackernewsgithubprojects

📦 nateherkai/snagtime

SnagTime

SnagTime is the self-hostable scheduling app that finally puts you in complete control of your booking infrastructure. Unlike standard third-party tools, this open-source project gives you the entire source code to run your own custom calendar system on your own terms. It packs essential features like Google Calendar synchronization, custom workspace branding, and test payments through Stripe, but keeps things entirely private. You can get a credential-free local demo running in just five minutes using a built-in SQLite configuration, making it incredibly easy to test out before deploying to a hardened production server. It is the perfect solution for anyone wanting a beautiful, independent scheduling portal.

🆔 @hackernewsgithubprojects

📦 anujatk1999/open-media

Open Media Shot Composer

Open Media is the browser-based storyboard planner that helps you block out cinematic 3D scenes before generating AI videos or images. Instead of wasting time guessing complex text prompts, you can visually pose realistic characters, arrange objects, and frame exact camera angles directly in your browser. It includes specialized settings like over-the-shoulder shots and camera elevation, plus a timeline to animate your setups. The coolest part is a local protocol server that lets an AI coding agent drive the entire scene creator for you. It is a completely local tool that runs entirely in your browser to bring your creative vision to life.

🆔 @hackernewsgithubprojects

📦 mattiaippoliti/ciele

Meet Ciele, Your Open Source AI Teammate

You can now spin up custom AI chat assistants that actually know your business without sending your data to third-party vendors. Ciele is an open-source platform that lets you build, test, and host smart AI teammates directly on your own hardware using a single terminal command. It crawls your websites, indexes your files, and handles customer questions using a clever router that only uses AI when it absolutely has to, falling back to your team when it gets stuck. It runs completely offline with any local model, giving you full control over your data.

🆔 @hackernewsgithubprojects

📦 jetbrains/benjamin-plus-skill

Benjamin Plus Skill

A single text injection cuts coding agent bills by nearly eighteen percent without touching quality. Benjamin Plus Skill is a set of rules that changes how agents look things up, not what they build. It teaches them to gather facts in one pass, read only what they need, and stop checking on finished jobs. The result is less wasted effort and lower costs for every task. If you run coding agents, this is the most efficient way to keep your budget from bleeding out. It is not a new tool, just a smarter way to use the ones you have.

🆔 @hackernewsgithubprojects

📦 swival/swival

Swival: Coding With Your Own Models

Swival lets you run a fully autonomous coding agent using your own local AI models. Most coding assistants force you to rent expensive cloud compute, but this tool works with the models you already have running on your own hardware. It handles the tricky part of keeping a smaller model focused so it does not forget its plan halfway through a task. You just point it at your model and give it a job, like fixing a bug or refactoring a file, and it takes care of the rest. It is a great way to keep your data private while still getting real coding help.

🆔 @hackernewsgithubprojects

📦 3641397194-wq/gpt6-astra

GPT6 Astra: The Six Seat AI Workbench

GPT6 Astra is the desktop workstation that turns six major language models into one unified command center. It solves the problem of juggling different AIs by giving each one a dedicated seat inside a single dark-themed application. The surprising feature is its ability to write custom instruction files directly into each model’s local configuration folder, effectively giving every AI a unique personality and set of rules tailored to your workflow. It handles the technical details of backing up original settings and verifying changes automatically. This gives you a persistent, customized setup for every model you use, all managed from one simple interface.

🆔 @hackernewsgithubprojects

📦 edvardgrishin27/nativeprompt

nativeprompt: The Prompt Translator You Didn't Know You Needed

Rewrite your AI prompts so they actually work on the specific model you are using right now. nativeprompt detects whether you are sitting in front of Claude Code or Codex and rewrites your text using that vendor's official rules. It fixes things like removing step-by-step instructions from reasoning models or dropping shouting caps that cause over-triggering. Every edit comes with a link to the official documentation, so you know exactly why it changed. The best part is that it runs completely offline on your existing subscription. There are no API keys, no extra bills, and no data leaving your machine.

🆔 @hackernewsgithubprojects