📦 mehmetyukselsekeroglu/eye_of_web

Eye of Web: The Open-Source OSINT Face Search Engine

Eye of Web functions as a sophisticated open-source OSINT platform designed for large-scale face recognition and identity analysis. It automates data collection across multiple web sources by employing specialized crawlers for Google, Facebook, Twitter, and Telegram. The system utilizes advanced algorithms like InsightFace for face detection and Milvus for high-performance similarity searching to cluster individuals and isolate specific targets from look-alikes. By integrating Selenium and Playwright, the tool mimics human browsing behaviors to efficiently gather data. This project offers a comprehensive framework for digital investigative research, allowing users to map connections and analyze relationships through a centralized web interface.

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📦 voltagent/awesome-codex-subagents

166+ Specialized AI Subagents for Your Codex Workflow

This collection provides over 166 specialized subagents designed to handle specific development tasks within the Codex environment. By using standardized TOML configuration files, these agents can be deployed globally or scoped to individual projects to automate everything from backend architecture and security audits to documentation and cloud infrastructure management. Each agent includes specific instructions and sandbox constraints to ensure safe, role-based interaction with your codebase. This library offers a structured way to delegate technical challenges to targeted AI assistants, allowing developers to optimize their workflows and maintain consistency across complex engineering projects through precise model routing and governance.

🆔 @hackernewsgithubprojects

📦 ai-builder-club/loop-engineer-template

Build Compounding AI Agent Loops

Loop engineer template provides a structured codebase harness for building autonomous agents that operate in compounding loops rather than simple task-by-task prompts. By utilizing a shared file-based memory and predefined skills, these agents can investigate issues, perform work, and log findings independently to ensure continuous progress. The framework centers on domain-based loops that integrate signals and durable documentation to manage complex workflows efficiently. This template allows developers to scaffold new agents, automate code verification, and maintain a historical record of actions, effectively transforming manual coding tasks into a self-driving system that compounds productivity over time.

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📦 apple/ml-lgtm

Scale Gaussian Splatting to 4K with LGTM

Generate high-resolution 4K imagery using feed-forward Gaussian splatting through this research implementation. While traditional methods often struggle to maintain performance at such high resolutions, this project introduces a native approach that predicts compact textured Gaussians to handle 4K output efficiently. The repository provides the complete framework to train, evaluate, and perform inference, including specialized support for textured 2DGS rasterization. By utilizing this pipeline, you can bridge the gap between fast feed-forward reconstruction and detailed, high-fidelity rendering for complex scenes. Explore the provided scripts to start processing your own high-resolution 3D data today.

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📦 0xroylee/ponytrail

Track and Revert AI Agent File Changes with Ponytrail

Manage AI agent file mutations by recording decision snapshots and maintaining a clear history of project changes. This command line tool allows you to track exactly why files were modified, providing a dedicated audit trail that works alongside version control. You can view the snapshot tree to see recent actions or revert files back to their previous states when needed. By ensuring that every file edit is accompanied by a documented purpose and rollback plan, it helps you maintain control over your codebase. Use this tool to bring transparency to agent activity and ensure project consistency.

📰 https://news.ycombinator.com/item?id=48631043

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📦 lyonzin/knowledge-rag

Search Your Local Docs Instantly With Claude Code

Connect your local documents directly to Claude Code to search through them instantly without relying on cloud services or external API keys. This tool handles over twenty file formats, including PDFs, code, and markdown, by running everything locally on your own machine. It uses advanced hybrid search techniques like BM25 and semantic vector reranking to deliver high-quality results from your own files. With full support for GPU acceleration and thirteen different tools, it creates a powerful, private research assistant for your local data. Give your AI a reliable, local knowledge base and see how much faster your workflow becomes.

📰 https://news.ycombinator.com/item?id=47445160

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📦 sig-id/nucleus

Nucleus: The Fast and Secure Container Runtime for NixOS

Nucleus provides a lightweight, security-hardened container runtime for NixOS that achieves startup times as fast as 12 milliseconds. By leveraging Linux kernel primitives like namespaces, cgroups, and Landlock, it offers isolated execution environments without the heavy overhead of traditional container tools. This runtime is built for declarative, reproducible workflows, allowing you to define service topologies and root filesystems directly within NixOS. It excels at running ephemeral AI agent workloads or strict production services, providing strong security guarantees and auditable state through signed local snapshots. This tool is an ideal choice for developers seeking high-performance, verifiable sandboxing.

📰 https://news.ycombinator.com/item?id=48469039

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📦 microck/opencode-studio

Manage OpenCode Configs Without Editing JSON

OpenCode Studio provides a graphical interface for managing local OpenCode configurations, allowing users to handle complex settings without manual JSON editing. This tool enables users to toggle MCP servers, manage custom agents, and edit skills or plugins directly through a web browser. By automatically detecting local configuration directories, it allows for seamless profile switching, bulk importing of resources via URL, and tracking usage statistics like token costs. It simplifies environment management by reading and writing configurations directly to your disk, offering a clean, visual alternative to standard command-line workflows for organizing your local development environment.

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📦 claugehq/clauge

Clauge: The AI-Powered Super-App for Developers

Clauge is an AI-powered super-app built with Rust and Tauri that consolidates fragmented developer workflows into one unified interface. It integrates coding agents, API clients, database editors, and SSH sessions into a single shell, allowing you to manage complex tasks without switching between multiple applications. Each tool features a dedicated AI, such as schema-aware SQL assistance or permission-gated SSH controls, all while keeping your data local to your machine. With its spatial canvas for organizing tabs and native support for various backends, Clauge streamlines your entire development lifecycle. Simplify your daily routine and experience a more focused coding environment.

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📦 block/buzz

Buzz: A Hive Mind Workspace for Humans and AI Agents

Build software in a collaborative workspace where humans and AI agents act as equal team members. This project functions as a self-hostable communication platform and Nostr relay that records every message, git event, and workflow step as a signed, verifiable entry in a single audit trail. Because agents hold their own keys and membership, they can perform concrete tasks like triage bugs, run workflows, or provide historical context by searching months of project data. By unifying communication and project history into one searchable log, it creates a transparent environment where AI is a productive teammate, not just a bot.

📰 https://news.ycombinator.com/item?id=48632977

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📦 mindlab-research/mixture-of-lora-harness

Master Multi-Model Routing with Mixture-of-LoRA-Harness

Deploy multiple specialized AI adapters behind a single endpoint using this powerful routing harness. This lightweight router acts as an overlay for SGLang, allowing you to seamlessly switch between specialist LoRA modules based on user requests. It uses a hybrid design that combines model-generated prompts with deterministic metadata guardrails to ensure the right adapter, such as coding or personal-agent assistants, handles each task. By managing routing, memory, and task metadata, it enables complex workflows without the need to modify base models. Use this to streamline your agentic applications and maximize specialist performance in every conversation.

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📦 sjkim1127/reversecore_mcp

Automate Reverse Engineering with AI Agents

Reversecore_MCP leverages over one thousand passing tests to provide an enterprise-grade Model Context Protocol server that empowers AI agents to perform complex binary analysis. This project streamlines reverse engineering by orchestrating powerful industry tools like Ghidra, Radare2, and YARA directly through natural language commands. Whether you are conducting deep code analysis, extracting indicators of compromise, or generating detailed malware reports, this platform automates the heavy lifting while maintaining rigorous security standards. By integrating sophisticated decompilation and pattern matching, it transforms tedious binary exploration into a smooth, agent-driven workflow, helping you uncover hidden threats and vulnerabilities with professional precision.

🆔 @hackernewsgithubprojects

📦 jacob-bd/relay-ai

Relay Any AI Model into Your Favorite Coding Agents

Relay-ai is a command-line interface that enables you to integrate diverse AI models into professional coding tools like Claude Code, Claude Desktop, and the OpenAI Codex CLI. It functions as a powerful local API gateway, allowing you to bypass specific provider limitations by managing your own registry of API keys from services like Groq, Mistral, and DeepSeek. By handling model switching, proxying, and environment isolation, this tool solves the problem of platform lock-in for AI development. It is an excellent utility for developers looking to build a flexible, unified workflow across multiple AI coding assistants, ultimately streamlining your entire coding automation process.

🆔 @hackernewsgithubprojects

📦 djiangtw/data-structures-in-practice-public

Data Structures Performance on Real Hardware

Software performance depends heavily on the underlying hardware, yet many engineers overlook how data structures behave on actual silicon. Data Structures in Practice is a comprehensive, hardware-aware guide specifically for system software engineers working on firmware, bootloaders, and device drivers. The book analyzes standard data structures through the critical lens of cache behavior, memory hierarchies, and CPU microarchitecture using real benchmark data from RISC-V, ARM, and x86 processors. By examining how specific designs perform in resource-constrained environments, the project provides a practical foundation for building efficient system software. Exploring these real-world performance trade-offs is essential for mastering low-level optimization.

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📦 thecmdguy/ducky

Manage Your Network with Ducky

Simplify your workflow by centralizing essential networking tasks into one intuitive desktop application. Built with Python and PySide6, this tool offers a multi-protocol terminal for SSH, Telnet, and Serial connections alongside a full suite of diagnostics like ping, traceroute, and multi-threaded port scanning. It also features an SNMP topology mapper for discovering devices, a security toolkit for hashing and CVE lookups, and a dockable notepad for tracking your notes. By combining these utilities under a single interface with customizable themes, this project removes the clutter of multiple windows, making network management efficient and organized for any engineer or student.

🆔 @hackernewsgithubprojects

📦 hkuds/agentspace

AgentSpace: Collaborative Workspace for Humans and AI Agents

Coordinate work between human team members and digital employees using a shared collaborative workspace designed to treat agents as first-class teammates. AgentSpace provides an agent-native environment where you can recruit agents with defined roles, schedule multi-agent workflows, and manage sensitive actions through integrated permission and approval gates. The platform includes a specialized router that normalizes execution across various runtimes like Claude Code and Codex, ensuring that your agent identities and contexts remain stable. By centralizing management and auditing, this workspace helps teams stay accountable, maintain control, and finally make agents a true part of organizational operations.

🆔 @hackernewsgithubprojects

📦 shixin-guo/picot

Local Desktop GUI for Pi Coding Agent

Picot provides a self-contained desktop interface for the Pi coding agent, running entirely on your machine without requiring a separate installation or terminal commands. By bundling its own runtime inside the application, it creates an isolated environment for each project, letting you chat, manage sessions, and browse files seamlessly. You can run multiple agents in parallel, visualize token costs, and access your workspaces via mobile or LAN. It simplifies local development by handling process management for you, ensuring a smooth, visual experience that keeps your workflow organized, efficient, and private. Try it out to elevate your coding agent sessions.

📰 https://news.ycombinator.com/item?id=48633797

🆔 @hackernewsgithubprojects

📦 dorukkumkumoglu/optocamzero

Build Your Own Pocket-Sized Digital Camera

Optocam Zero is a compact digital camera built around a Raspberry Pi Zero 2 W that uses easily accessible off the shelf components. This project provides everything you need to create a playful and portable camera, featuring a 3D printed enclosure and an intuitive interface for capturing images or recording GIFs. It includes useful features like a built-in hotspot for fast wireless image transfers to your devices, multiple photo filters, and an autofocus module. By following the provided build guide and bill of materials, you can assemble this pocket-sized device and start capturing photos in your own unique style.

📰 https://news.ycombinator.com/item?id=48634778

🆔 @hackernewsgithubprojects

📦 iliashad/edit-mind

Organize Your Video Library with Local AI

Manage your entire video collection by transforming it into a searchable knowledge base that runs completely on your local hardware. This project processes your files using multi-modal analysis like Whisper for transcription and various models for object, text, and face recognition. By integrating these capabilities with a vector database, it enables you to perform deep semantic searches using natural language to find specific scenes or content instantly. Because it leverages Docker, the system is easy to deploy while ensuring your data remains private. Take control of your footage by building a intelligent, self-hosted companion for your media files.

🆔 @hackernewsgithubprojects

📦 douglasfreshhabian/androidforensics

Automate Android Forensic Analysis with ADB

The AndroidForensics repository provides a powerful collection of automated scripts and guides designed to extract digital artifacts from Android devices using the Android Debug Bridge. By utilizing built-in shell commands, the toolkit enables investigators and security researchers to gather essential data like system logs, installed applications, call histories, and SMS messages for forensic audits and incident response. It streamlines complex diagnostics into organized, timestamped reports, making it easier to document device states and user activity. Explore these practical utilities to improve your forensic workflow, maintain transparency in your investigations, and ensure your data collection process is consistent.

🆔 @hackernewsgithubprojects