📦 nova452/comfyui-conditioningkrea2rebalance

Unlock Krea 2 Potential with Conditioning Rebalance

This ComfyUI tool provides fine-grained control over Krea 2 model generation by allowing users to optimize conditioning through precise per layer weighting. It effectively introduces functionality similar to IP-Adapter for this model, while simultaneously bypassing the built-in quality dilution caused by the default safety filter. By working as an unfiltering solution, this implementation restores original model performance and offers significant flexibility for creators looking to refine their output beyond factory constraints. It is a straightforward way to reclaim control over your model generation process, ensuring the final results meet your exact standards without unnecessary interference from internal filters.

🆔 @hackernewsgithubprojects

📦 krea-ai/krea-2

Understanding Krea 2: A New Open Image Generation Model

Krea 2 stands out as a highly aesthetic open-source image generation model built from the ground up for creative exploration. The repository provides official inference code for two primary variants: the RAW base model, which is ideal for fine-tuning and training custom LoRAs, and the Turbo model, which is a distilled version optimized for fast, high-quality generation in just eight steps. By training on the flexible RAW model and deploying on the efficient Turbo variant, users can achieve high-resolution results tailored to their specific stylistic needs. This release provides a powerful, versatile toolkit for advancing AI-driven image generation workflows.

🆔 @hackernewsgithubprojects

📦 lei-kun/rl-100

RL-100: Real-World Reinforcement Learning for Robotic Manipulation

RL-100 provides a unified framework for training performant robotic manipulation policies through reinforcement learning. This codebase enables developers to bridge the gap between initial human teleoperation data and reliable real-world robot deployment. It supports a versatile range of policy backbones including diffusion and flow models, while allowing for both offline and online reinforcement learning training stages. By facilitating iterative data collection and policy refinement, the library helps improve the efficiency and robustness of robot control. This comprehensive toolkit offers a structured way to handle complex visual inputs and control modes, ultimately simplifying the path toward more capable autonomous robotic systems.

🆔 @hackernewsgithubprojects

📦 qiisun/meshflow

MeshFlow: AI Mesh Generation via Equivariant Flow Matching

MeshFlow provides a specialized PyTorch framework for generating 3D meshes using equivariant flow matching techniques. This repository offers a complete pipeline that enables researchers and developers to train models, perform inference, and evaluate the quality of generated 3D structures. By leveraging advanced flow matching, it addresses the complexities of unconditional mesh generation, allowing users to create detailed geometric assets across various object categories. The project includes interactive demo tools for real-time visualization and post-processing, such as hole filling and vertex merging. It serves as a sophisticated resource for those exploring generative 3D modeling and geometric deep learning.

🆔 @hackernewsgithubprojects

📦 qwenlm/qwen-agentworld

Qwen-AgentWorld: A Native World Model for AI Agents

Qwen-AgentWorld is a native language world model that accurately simulates diverse environments by reasoning through ten million real-world interaction trajectories. This project introduces a model capable of navigating seven unified domains including web, android, and terminal environments, outperforming many frontier systems in agent-based tasks. By treating environment simulation as its core training objective, the model offers superior scalability and controllable performance, even in out-of-domain scenarios. It provides developers with both powerful model weights and a comprehensive evaluation benchmark to test simulation fidelity. This innovation marks a shift toward building more reliable, agentic foundation models for complex digital interactions.

📰 https://news.ycombinator.com/item?id=48655228

🆔 @hackernewsgithubprojects

📦 signerlabs/shipswift

Build Apps Faster with AI-Native SwiftUI Components

Accelerate your development workflow by using an AI-native SwiftUI component library designed to help you build real applications instantly. This repository provides production-ready code, including complex animations like shimmer effects, data-driven charts, and complete multi-file modules for authentication, camera integration, and chat features. By connecting this library via a model context protocol server, your AI assistant gains immediate access to a searchable catalog of recipes, enabling you to generate UI components or functional flows through simple commands. Leverage these self-contained, modular SwiftUI building blocks to streamline your coding process and ship polished iOS applications with confidence.

🆔 @hackernewsgithubprojects

📦 zhangsq-nju/edgerazor

EdgeRazor: Run LLMs on Edge Devices

A small demo window displays a quantized language model running efficiently on a mobile device or local edge hardware. EdgeRazor is a lightweight framework designed to make large language models smaller and faster by integrating mixed-precision quantization-aware distillation directly into your training pipeline. It helps solve the challenge of running complex AI models on resource-constrained devices by using techniques like weight, activation, and KV cache quantization with configurable bit-widths. This allows for high-performance deployments across diverse hardware while maintaining strong task accuracy. Explore this project to optimize your own models for more efficient, high-speed edge computing performance.

🆔 @hackernewsgithubprojects

📦 sums001/windows-copilot-api

Use Microsoft Copilot as a Free API

Windows Copilot API is the clever bridge that finally lets you use your personal Microsoft Copilot account as a flexible, OpenAI-compatible service. This project reverse-engineers the consumer Copilot interface, turning it into a REST API so you can tap into its powerful chat capabilities from your own Python scripts or any OpenAI-ready application. By handling authentication and Cloudflare challenges automatically, it removes the need for expensive subscriptions or developer API keys. It is a fantastic, free way to integrate intelligent chat features into your local projects while staying within your personal account limits for daily use.

🆔 @hackernewsgithubprojects

📦 attenlabs/saa-sdk

Stop Wasting Resources on Unintended Speech with SAA

Filter out background noise and unintended audio from your voice agent using this specialized addressee layer. Instead of processing every sound in a room, it uses a classifier to determine exactly when speech is directed at your device, ensuring only relevant audio ever reaches your transcription, language model, or speech synthesis services. It works across various stacks including LiveKit and Pipecat by acting as a smart gate for your pipeline. By isolating commands from side talk, media, or ambient noise, you improve performance and lower costs. Integrate this tool into your workflow to build more focused and responsive voice applications.

📰 https://news.ycombinator.com/item?id=48649105

🆔 @hackernewsgithubprojects

📦 kauravsrestha-duryodhan/digi-netra

Understanding the Digi-Netra OSINT Toolkit

Digi-Netra is a modular Python toolkit that automates open-source intelligence gathering through a straightforward command-line interface. This project simplifies digital investigations by allowing users to trace phone numbers, usernames, email addresses, and IP addresses in one centralized environment. It performs tasks like validating phone information, checking for social media footprints, and identifying potential data breaches associated with specific emails. By consolidating these recon tools into an accessible menu system, the software provides a fast and practical way to conduct technical research. This tool essentially puts powerful investigative capabilities directly into the hands of those exploring digital footprints.

🆔 @hackernewsgithubprojects

📦 fu351/doberman-core

Stop Rogue AI Agents with Doberman Security

Doberman is an open-source security layer that intercepts and authorizes every tool call made by autonomous AI coding agents before they can execute. By acting as a transparent proxy between the agent and its tools, it enforces strict runtime policies that effectively block dangerous actions like unauthorized shell commands, credential exfiltration, or force-pushes on protected branches. It operates on a fail-closed principle, ensuring that any ambiguous or unhandled action is denied by default. This framework provides essential audit logs and human-in-the-loop controls, turning every agent action into a predictable, auditable decision to ensure secure and reliable AI deployment.

🆔 @hackernewsgithubprojects

📦 end2end-diffusion/diffusion-bench

The All-in-One Benchmark for Generative Diffusion Models

Standardize your generative diffusion research with a unified codebase designed for holistic model evaluation. This project enables researchers to train and evaluate various diffusion transformers across both ImageNet and text-to-image tasks using a single, consistent interface. You can leverage extensive support for latent space methods like VAEs and RAEs, alongside diverse transport mechanisms and loss functions. The repository provides integrated tools for offline evaluation, including metrics like FID, IS, and VQAScore, helping you move beyond simple ImageNet benchmarks. Explore this repository to streamline your experimentation and contribute to a more robust evaluation standard for modern diffusion models.

📰 https://news.ycombinator.com/item?id=48654274

🆔 @hackernewsgithubprojects

📦 miaai-lab/deepseek-v4-flash-dual-dgx-spark-1m-context

Deploy DeepSeek V4 Flash on Dual DGX Spark Nodes

Deploy the DeepSeek V4 Flash reasoning model across two NVIDIA DGX Spark nodes to unlock powerful distributed inference capabilities. This repository provides a streamlined setup using Docker and shell scripts to orchestrate a vLLM server across your cluster. It leverages InfiniBand for fast inter-node communication, utilizes FP8 KV-cache for memory efficiency, and supports a massive 1 million token context length for complex tasks. By implementing tensor parallelism and multi-token prediction, you can maximize your hardware performance for high-end reasoning and coding workloads. Use this framework to scale your AI infrastructure and achieve high-performance model serving today.

🆔 @hackernewsgithubprojects

📦 facebookresearch/lamp

Track 3D Human Motion with Multi-Camera Headsets

Track human motion in a 3D world using egocentric multi-camera headsets by leveraging a unique lift-then-fit approach. This system disentangles observer and target movement by lifting 2D body keypoints from multiple camera angles into a unified 3D reference frame. By fitting motion directly to this 3D ray cloud using a specialized spatio-temporal transformer, the project achieves state-of-the-art accuracy for egocentric tracking. It is a powerful tool for researchers and developers working with AR and VR human pose estimation, providing a robust solution for capturing natural, metric-scale human movement from wearable devices in real-world environments.

🆔 @hackernewsgithubprojects

📦 elhart05/airmongui

Simplify Wireless Auditing with AirmonGUI

Manage your wireless auditing tasks by using this web-based interface that centralizes the powerful aircrack-ng toolkit. Instead of juggling multiple command-line flags, this project provides a guided workflow for enabling monitor mode, scanning for networks, capturing WPA handshakes, and performing deauthentication attacks. The tool includes a live table for network analysis, a PTY terminal for raw command access, and comprehensive log tracking to keep your session state organized. By running locally, it gives you a clean visual dashboard for security testing on networks you control, making complex wireless diagnostics feel straightforward and efficient for your lab assessments.

🆔 @hackernewsgithubprojects

📦 seeed-projects/co-create_esp-fly

Build Your Own Micro Drone with ESP-FLY

ESP-FLY is the DIY micro drone kit that finally makes aerial robotics accessible through the power of the Seeed Studio XIAO ESP32-S3. This project provides a complete open-source platform for assembling and flying a compact fifty-millimeter quadcopter using a custom flight controller board with integrated six-axis motion sensing. You can pilot the drone either via a direct smartphone Wi-Fi connection or through a radio controller using ESP-NOW for precise flight. It is an excellent hands-on way to explore embedded systems and flight stabilization, offering a fun and educational path to mastering your own custom-built micro drone.

🆔 @hackernewsgithubprojects

📦 adshao/flounder

Automate Security Audits with Flounder

Automate your security audit workflow by using this tool to turn coding agents into end-to-end security auditors. It allows you to provide a project link, repository, or address, letting the system autonomously prepare the workspace, map the attack surface, and perform deep audits. By sandboxing all model-generated code and execution, it ensures that findings are grounded in evidence by requiring successful local proof tests before reporting them. Whether investigating incidents or performing bounty audits, it creates a structured, framework-agnostic pipeline that keeps your audit process secure and evidence-backed. Give it a try to streamline your security research.

📰 https://news.ycombinator.com/item?id=48657652

🆔 @hackernewsgithubprojects

📦 serveurpersocom/qwentts.cpp

Run Local AI Text-to-Speech with Qwen3-TTS

This project provides a robust C++17 implementation of Qwen3-TTS, enabling high-quality, local AI text-to-speech synthesis on standard hardware. By leveraging the GGML library, the software runs efficiently across CPU, CUDA, ROCm, Metal, and Vulkan backends. It offers advanced capabilities like zero-shot voice cloning, named speaker selection, and flexible voice design through simple text instructions. With support for eleven languages and streaming audio output, it allows developers to integrate powerful, low-latency speech generation into local applications. This streamlined toolchain makes sophisticated, multi-stage neural audio synthesis accessible and portable, ensuring consistent performance without relying on cloud infrastructure for your speech synthesis needs.

🆔 @hackernewsgithubprojects

📦 cortexprism/cortex

Build and Manage AI Agents with Cortex

Orchestrate complex AI agent workflows and automate tasks directly through an integrated open-source operating system. This platform provides a centralized environment to manage autonomous agents, complete with tools for code execution, web research, and persistent memory storage. It streamlines agent development by offering built-in observability, security guardrails, and diverse integrations with messaging channels like Slack and Discord. Whether you are building sophisticated sub-agent structures or automating development pipelines, this system offers the modular architecture needed to deploy functional AI agents effectively. Explore its capability to transform how you build, monitor, and interact with autonomous digital assistants.

🆔 @hackernewsgithubprojects

📦 velobase/velobase-harness

Launch Your AI SaaS Fast with This Open Source Boilerplate

Build and monetize AI applications rapidly using a comprehensive open-source SaaS boilerplate designed for the modern web. This project provides a complete foundation by integrating essential features like Stripe billing, usage-based pricing models, affiliate tracking, and robust authentication right out of the box. Built with the T3 stack and Next.js, it simplifies the transition from initial code to a revenue-generating platform. You get access to pre-configured modules for AI chat, payment processing, and user management, allowing you to focus purely on your product features. Save significant development time and get your software running in production today.

🆔 @hackernewsgithubprojects

📦 per-simmons/unreal-agent-harness

AI Agents Building Cities in Unreal Engine 5.8

Unreal Agent Harness is the experimental platform that empowers AI agents to autonomously build and refine complex 3D environments directly within Unreal Engine 5.8. By leveraging the official Unreal MCP, the project provides a sophisticated bridge for an agent to gain visual perception through automated viewport capture and tactile control over scene assembly. It enables advanced workflows like procedural city generation, photorealistic terrain streaming via Cesium, and automated QA loops where the agent acts, inspects, and corrects its own work. This harness turns the engine into a programmatic canvas, making it an essential tool for those exploring AI-driven game development.

🆔 @hackernewsgithubprojects