📦 mig-nju/evoembedding

EvoEmbedding

EvoEmbedding is the text retrieval model that updates its own memory on the fly to help computers search through massive histories without losing track of time. Standard models look at chunks of text in isolation, totally ignoring what came before and after. This model processes text sequentially and updates a continuous memory queue to generate embeddings that are highly sensitive to chronological order. This makes it incredibly good at answering timeline-based questions, like identifying what happened first or last in a long conversation. If you are building memory-heavy AI tools, this project proves that smart retrieval is all about preserving context.

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📦 visomasterfusion/visomaster-fusion

VisoMaster Fusion

You can now edit expressions, swap multiple faces, and run high-end video enhancements directly on your desktop without touching a single line of code. visomaster-fusion is a powerful desktop application that puts pro-level face editing, swapping, and restoration into a highly polished graphical interface. Instead of wrestling with complex command-line scripts, you get a clean workspace featuring multi-face tracking, color matching, and deep model controls that run locally on your own graphics card. It simplifies the entire workflow by letting you manage saved face profiles and preview edits in real time before rendering. Grab the launcher, run the setup, and start creating seamless edits instantly.

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📦 akin-ozer/cc-devops-skills

cc-devops-skills

Supercharge your AI development workflows by automatically generating and validating production-ready infrastructure configs. The cc-devops-skills repository provides a practical pack of thirty-one specialized tools designed specifically for Claude Code and Codex. Instead of struggling with manual syntax errors, this project gives your AI assistant sixteen automated generators to instantly scaffold pipelines, alongside fourteen intelligent validators to run local security audits, linting, and dry-run checks for platforms like Terraform, Kubernetes, and GitHub Actions. It bridges the gap between raw AI code generation and actual, working deployments, giving developers a safe, rapid way to build and verify their operations pipelines.

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📦 kulaxyz/self-learning-skills

Self-Learning Skills

self-learning-skills is the standing-instructions utility that finally lets your AI coding agents learn from their own mistakes. Every developer knows the frustration of watching an AI assistant struggle through a complex debugging loop, only to completely forget the solution once the session ends. This clever tool monitors your coding sessions, automatically detects when the agent hits a hard-won breakthrough, and saves that exact workflow into a reusable markdown skill. The next time you start a session, your agent instantly loads this local memory, skipping the dead ends and immediately following the proven golden path to success.

📰 https://news.ycombinator.com/item?id=48713137

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📦 lightmode-laboratories/spacesuit

Spacesuit

Organize your thoughts on an infinite digital workspace without the hassle of rigid folders or complex hierarchies. A desktop app called spacesuit gives you a visual canvas where you can place resizable note cards, connect different ideas, and even pull in live website snippets that stay visible without constant reloading. It brings together built-in artificial intelligence assistants to help you process your notes, alongside sensory micro-interactions to help you pause and refocus. Best of all, your data stays entirely on your own device or syncs safely to your private cloud. It is a peaceful, flexible hub designed to make sense of your personal projects.

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📦 palemoky/chinese-poetry-api

chinese-poetry-api

Build a high-performance database of classical Chinese poetry with both simplified and traditional characters automatically generated. This tool parses raw data files to build a highly optimized SQLite database complete with authors, dynasties, and poetic genres. Even better, it serves all this rich historical data instantly through both standard web endpoints and modern graph queries. It is perfect for developers who want to build educational apps or search engines without worrying about custom database schemas or slow performance. Set up this service to instantly bring thousands of years of classic literature into your next project with ease.

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📦 auriti-labs/geo-optimizer-skill

Geo Ready GEO Optimizer

Check whether AI search engines like ChatGPT, Perplexity, and Google AI Overviews are actually citing your website. The geo-optimizer-skill toolkit runs a quick audit on your site to score its AI search readiness from zero to one hundred. It scans your robots.txt, checks for an llms.txt file, and analyzes your schema markup to make sure AI bots can easily crawl and quote your content. You can even run live queries to see if your brand gets mentioned when users ask questions. It is a brilliant way to make sure your business does not become invisible in the age of AI search.

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📦 unimpor/t3

t3

AI assistants struggle when they do not have all the facts, often making bad moves because they lose track of what they actually know. An open-source project called t3 fixes this by training language models to actively seek out missing information and maintain an accurate picture of their environment during multi-step tasks. By introducing clever training methods that reward models for uncovering new details and penalize them for repetitive actions, it stops agents from getting trapped in unproductive loops. If you want to see how reinforcement learning can build smarter agents that actually know how to ask the right questions, this codebase is well worth a look.

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📦 gtrg55/trellis2-mlx

Trellis 2 MLX

Trellis 2 MLX is the open-source pipeline that finally brings high-resolution, image-to-3D generation natively to Apple Silicon. Instead of relying on power-hungry, cloud-hosted Nvidia graphics cards, this project runs Microsoft's massive four-billion-parameter model locally on your Mac using the MLX framework. The coolest part is how it handles textures. While most local generators produce messy, semi-transparent points, this tool uses smart chunked sampling to construct incredibly detailed, solid 3D meshes with fully baked color and roughness. You can export complete, textured objects straight into Blender or game engines without needing a massive server rack.

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📦 homemadegarbage/selfrisingrobot

SelfRisingRobot

An incredibly simple two-axis toy robot can learn to stand back up on its own after being knocked down in any direction. This project, called selfrisingrobot, makes reinforcement learning accessible by bridging virtual simulation and physical hardware. It uses a physics engine to train a virtual model of a tiny robot with just two micro servos. Once the computer brain learns to wiggle and push itself upright in the simulator, that identical code is flashed onto a real microcontroller to run on a physical, three-dimensionally printed robot. It is a fantastic hands-on demonstration of simulated intelligence translating perfectly into physical action.

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📦 thewakesystems/riverone

RiverONE

Compress multimodal AI models to a fraction of their size by treating neural network weight reduction as a simulated quantum computing problem. RiverONE runs entirely on classical hardware, translating quantum mechanics concepts into practical machine learning pipelines. It collapses continuous model weights into discrete, quantum-inspired codebooks, entangles adjacent layers in vision transformers so they share parameters through simulated unitary gates, and recovers lost accuracy using an optimization loop modeled after the variational quantum eigensolver. It is a wildly creative way to shrink heavy vision-language models down to pocket-sized, runnable software.

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📦 map-raysup/raysup

RaysUp Feature Upsampling

AI models generate incredibly smart feature maps, but they are often too blurry and low-resolution to be useful for precise visual tasks. RaysUp solves this problem by using a clever geometry-aware ray representation that upsamples these complex neural features with extreme precision. Instead of relying on heavy, slow neural networks to guess the missing pixels, this method uses lightweight geometric rays to guide the upsampling process. This makes the entire operation ultra-light and incredibly fast, while keeping the structural details perfectly sharp. It is a massive win for tasks like semantic segmentation and video tracking, proving that we can get high-definition AI features without the massive computational cost.

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📦 shootthesound/comfyui-angelo

ComfyUI Angelo

The comfyui-angelo tool completely replaces your complex, friction-heavy image editing workflows with a single, highly interactive node. Instead of jumping between mask editors, pad nodes, and separate samplers to fix a detail, you simply click, paint, or drag directly on your image preview to edit. It lets you refine specific areas immediately, auto-detect faces for quick fixes, and expand your canvas with smart outpainting while keeping the rest of your image bit-exact. You can load and restore old photos using a simple slider that perfectly balances original details with fresh, high-resolution textures. It is the ultimate hands-on playground for precise image refinement.

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📦 tophant-ai/clawvault

ClawVault

Your AI assistant might be accidentally leaking your private API keys or sensitive documents to external servers. That is why clawvault acts as a local security gateway for your artificial intelligence tools. It runs as a local proxy that intercepts traffic between your apps and major AI providers, catching hidden credentials, dangerous system commands, and personal data before they escape your machine. It even swaps out your private secrets with temporary placeholders and safely restores them when the model replies. It is like having a digital firewall that keeps your smart assistants on a tight leash without breaking their workflow.

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📦 lance0/ttl

ttl

The modern network diagnostic tool ttl completely redefines how you troubleshoot connectivity by showing you when a router is actually rate-limiting responses rather than dropping your traffic. Written in Rust, this fast utility combines traceroute and path monitoring into an interactive terminal display loaded with real-time stats. It traces multiple destinations simultaneously, detects transparent proxies, and uses binary search to find maximum packet sizes to pinpoint VPN connection hangs. It even alerts you to routing instability and identifies internet exchanges on the fly. It is the ultimate tool for developers and network enthusiasts who want to see exactly how their data travels across the web.

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📦 agentmemoryworld/awesome-agent-memory

Awesome Agent Memory

AI bots are finally moving past short conversations and entering a phase where they actually need a working memory to be useful. That is where awesome-agent-memory comes in, collecting over two hundred studies on how to give AI a brain that lasts. Instead of letting bots forget everything the moment you close a chat, this project maps out how they can store long-term experiences, remember your personal preferences, and build actual skills over time. It is basically the ultimate master list for anyone trying to build an AI helper that does not have the memory of a goldfish.

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📦 anmolsaini16/mapcn

mapcn

You can now drop beautiful, fully interactive maps into your React apps with a single terminal command. Under the hood, mapcn packages the heavy-duty rendering power of MapLibre GL into clean, declarative components that styled beautifully using Tailwind CSS and play perfectly with shadcn UI. This solves the massive headache of wrestling with bulky map libraries, complex configurations, and mismatched themes. Instead of struggling for hours, you get gorgeous, theme-aware maps with pre-built support for animated arcs, clustering, and custom popups right out of the box. It is the absolute easiest way to make data maps look professional.

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📦 tuannvm/codex-mcp-server

Codex MCP Server

Supercharge your local Claude Code sessions by giving Claude direct access to OpenAI's powerful Codex capabilities. This clever bridge integrates the Codex command line directly into your Model Context Protocol workspace, letting you request deep code reviews, run automated refactoring tasks, and perform web searches without ever leaving your terminal. If you are working on a tricky feature, you can spin up structured, multi-turn conversations with specific AI models, and it will automatically handle session context behind the scenes. It completely changes how you interact with your code by bringing OpenAI's smartest developer tools straight to your favorite command line agent.

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📦 derssa/torollo

Torollo

Build and run complete backend architectures on an interactive visual canvas powered by real Docker containers on your own machine. Torollo lets you drag and drop components like databases, load balancers, and servers, then wire them together to see exactly how data moves. Instead of studying abstract diagrams, you get a hands-on playground where every node on the screen is a live container running locally. You can open a terminal, configure security rules, and watch mock traffic flow through your setup in real-time. It is the perfect local-first sandbox to master networking and system design without paying for cloud bills.

📰 https://news.ycombinator.com/item?id=48659847

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📦 iatomicreactori/csgotrading

CSGOTrading

You can now run a coordinate team of artificial intelligence agents to trade virtual Counter Strike items for you. This project builds a smart multi-agent framework that treats the gaming market like a real financial exchange. Instead of guessing skin prices, the system deploys specialized digital analysts to scan price charts, scrape community sentiment on Reddit, and monitor Steam news. A central coordinator agent dynamically decides which analysts to trust based on current market conditions, while a portfolio manager agent calculates exact position sizes and factors in transaction fees. It is a fascinating way to see LangGraph and modern language models conquer an unconventional economy.

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📦 metareflection/guardians

Guardians

Stop prompt injection attacks before they even start by separating code from data in your AI agent workflows. This clever python tool solves the classic security problem where an agent reads an untrusted email and gets hijacked by hidden instructions. Instead of letting the AI dynamically call tools on the fly, it forces the model to generate a structured plan upfront using safe placeholders instead of actual data. A local verifier then runs static checks like taint analysis and theorem proving against your security rules, ensuring malicious commands never execute. It is the ultimate proactive shield for autonomous agents.

📰 https://news.ycombinator.com/item?id=47700126

🆔 @hackernewsgithubprojects