GitHub Open Source
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🌟 GitHub Open Source 🌟

Discover fascinating projects from GitHub! We curate the best repositories, highlight innovative ideas, and share tips for developers. Join us to explore hidden gems and fuel your tech passion! πŸš€
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πŸ’‘ gmail-cleaner | Python

🎯 Primary Use Case:
Bulk cleaning and management of Gmail inbox by unsubscribing, deleting, archiving, and labeling emails.

✨ Key Features:
β€’ Bulk Unsubscribe
β€’ Delete by Sender
β€’ Bulk Delete Multiple Senders
β€’ Mark as Read
β€’ Archive Emails

πŸ“– Summary:
Gmail Cleaner is a free, privacy-focused, self-hosted web application designed to help users manage their Gmail inbox. It allows for bulk operations such as unsubscribing from emails, deleting emails by sender, marking emails as read, archiving, and managing labels, all while running locally on the user's machine.

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🌟 DriveLite | TypeScript

🎯 Primary Use Case:
Providing a secure, private, and self-hostable file storage solution with end-to-end encryption.

✨ Key Features:
β€’ Privacy-focused file storage
β€’ Self-hostable backend
β€’ End-to-end encryption (E2EE)
β€’ File sharing
β€’ File synchronization

πŸ“– Summary:
DriveLite is a fast, minimalist, and privacy-focused file storage application that offers both self-hosting and a free cloud instance. It provides end-to-end encryption, file sharing, and synchronization capabilities, acting as a secure alternative to traditional cloud storage solutions.

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🌟 filebrowser | Go

🎯 Primary Use Case:
Self-hosted web-based file management and administration.

✨ Key Features:
β€’ Web-based file management
β€’ User and access control
β€’ File sharing with customizable options
β€’ OIDC, LDAP, JWT, password + 2FA, and proxy login support
β€’ Responsive and customizable UI

πŸ“– Summary:
FileBrowser Quantum is a self-hosted, web-based file manager that offers advanced features for managing files, users, and access permissions. It aims to be a user-friendly and powerful alternative to existing solutions, with a focus on a streamlined configuration and an efficient user interface.

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πŸ”₯ neohtop | Svelte

🎯 Primary Use Case:
Desktop system monitoring and process management

✨ Key Features:
β€’ Real-time process monitoring
β€’ CPU and Memory usage tracking
β€’ Modern UI with dark/light themes
β€’ Advanced process search and filtering
β€’ Pin important processes

πŸ“– Summary:
NeoHtop is a modern, cross-platform desktop system monitor built with Rust, Tauri, and Svelte. It provides real-time process monitoring, CPU and memory usage tracking, advanced search and filtering, and process management features in a visually appealing UI.

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✨ LUKSbox | Rust

🎯 Primary Use Case:
Securely storing and accessing sensitive files on untrusted or shared storage media, such as cloud services or external drives, with advanced cryptographic protection.

✨ Key Features:
β€’ Encrypted container creation for sensitive files
β€’ Support for passphrase, FIDO2, TPM 2.0/SEP, and hybrid post-quantum keys (ML-KEM)
β€’ Mounts as a real drive on Linux, macOS, and Windows

πŸ“– Summary:
LUKSbox is a Rust-based tool for creating encrypted file containers (vaults) that can be securely stored on untrusted media like cloud storage or USB drives. It supports modern and post-quantum cryptographic keys, including FIDO2 hardware keys and TPM, and mounts as a virtual drive on major operating systems.

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πŸ”₯ TempFastMail | PHP

🎯 Primary Use Case:
To provide a temporary, self-hosted email inbox for receiving and viewing emails without long-term storage, enhancing privacy and offering a disposable email solution.

✨ Key Features:
β€’ Self-hosted temporary email inbox
β€’ Receives and displays messages
β€’ Emails automatically deleted after 48 hours
β€’ Quick start with Docker Compose
β€’ Integration with Cloudflare Email Worker

πŸ“– Summary:
TempFastMail is a self-hosted, disposable email inbox solution built with PHP and React. It allows users to receive and display emails temporarily, with automatic deletion after 48 hours, ensuring privacy. It's designed for quick setup using Docker Compose and integration with services like Cloudflare Email Workers.

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πŸš€ colibri | C

🎯 Primary Use Case:
Enabling large, parameter-heavy AI models to run on standard consumer hardware by optimizing memory management and leveraging disk storage.

✨ Key Features:
β€’ Run GLM-5.2 (744B MoE) on ~25GB RAM
β€’ Pure C, zero dependencies
β€’ Stream experts from disk
β€’ Managed memory hierarchy (VRAM, RAM, disk)
β€’ Lightweight, quality-preserving MoE runtime

πŸ“– Summary:
Colibrì is a C-based runtime for large Mixture-of-Experts (MoE) models like GLM-5.2 (744B parameters) that allows them to run on consumer hardware with limited RAM by intelligently streaming model experts from disk. It manages a memory hierarchy of VRAM, RAM, and storage to maintain model quality and performance.

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πŸ”₯ builder | Vue

🎯 Primary Use Case:
Building and publishing websites quickly and easily using a visual, low-code interface.

✨ Key Features:
β€’ Intuitive Visual Builder
β€’ AI-Powered Page Generation
β€’ Responsive Views
β€’ Dark Mode Support
β€’ Built-in CMS

πŸ“– Summary:
Frappe Builder is a low-code website builder that allows users to create beautiful, responsive websites with an intuitive visual interface and AI-powered generation. It emphasizes performance, offers built-in CMS capabilities, advanced scripting for customization, and a one-click publishing feature for a complete end-to-end website creation experience.

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🌟 chirp | TypeScript

🎯 Primary Use Case:
Demonstrating and experimenting with data transmission using audible sound frequencies.

✨ Key Features:
β€’ Real-time frequency visualization of audio input
β€’ Send messages by converting text to sound
β€’ Receive messages by listening to sound and decoding it back to text
β€’ Distinctive start and end signatures to mark transmissions

πŸ“– Summary:
Chirp is a TypeScript application that enables data transfer through sound. It encodes text into audio frequencies for transmission via speakers and decodes received audio back into text, featuring real-time frequency visualization.

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πŸ”₯ pasteguard | TypeScript

🎯 Primary Use Case:
To protect sensitive user data and secrets when interacting with AI models and coding agents, by masking this information locally before it is sent to external services.

✨ Key Features:
β€’ Masks PII and secrets before reaching AI providers (ChatGPT, Claude, Gemini, Codex, etc.)
β€’ Local-first privacy proxy
β€’ Browser extension for chat interfaces
β€’ API integration for applications and SDKs

πŸ“– Summary:
PasteGuard is a local-first privacy proxy that masks Personally Identifiable Information (PII) and sensitive data before it's sent to AI models and coding agents. It acts as a protective layer, ensuring that private data remains local while still allowing AI to process contextual information.

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πŸ’‘ timelinize | Go

🎯 Primary Use Case:
To provide users with a private, self-hosted platform for archiving and visualizing all their digital data and memories in a chronological timeline.

✨ Key Features:
β€’ Data aggregation from diverse sources (photos, videos, chats, social media, location, contacts)
β€’ Self-hosted and user-owned data storage
β€’ Timeline visualization of imported data
β€’ 3D map view with historical location data

πŸ“– Summary:
Timelinize is a self-hosted application that aggregates data from various sources like photos, chats, social media, and location history into a single, cohesive timeline on your own computer. It allows for deep data import and organization, enabling users to own and preserve their digital memories forever.

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🌟 kill-ai-slop | TypeScript

🎯 Primary Use Case:
To help developers and designers identify and eliminate common, often unintentional, AI-generated design patterns and copy tics in their web projects, leading to cleaner, more human-like products.

✨ Key Features:
β€’ Multilingual field guide website cataloging 33 AI-slop tells
‒ Interactive before→after demos for each tell
β€’ Agent Skill (`kill-ai-slop`) to scan projects for AI-generated code signals

πŸ“– Summary:
Kill AI Slop is a project that identifies and helps remove common visual and copy design 'tics' often found in AI-generated products. It offers a multilingual website cataloging these tells with interactive demos and an Agent Skill that scans codebases to detect and suggest fixes for these AI-generated patterns.

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🌟 pocket_disasm | Python

🎯 Primary Use Case:
Enabling coding agents and LLMs to perform parallel, headless binary analysis on multiple files simultaneously using IDA Pro's IDALib, managed through a unified MCP endpoint.

✨ Key Features:
β€’ Single MCP endpoint for multiple IDALib sessions
β€’ True multi-session analysis with independent IDALib processes
β€’ Parallel agent workflows for simultaneous binary analysis
β€’ IDA Pro MCP compatibility via pinned ida-pro-mcp
β€’ Agent-managed sessions for opening and switching binaries

πŸ“– Summary:
Pocket Disasm is a Python-based control layer for headless binary analysis using IDA Pro's MCP toolset. It allows coding agents to manage multiple, isolated IDALib sessions concurrently through a single HTTP endpoint, without requiring interactive IDA GUI instances.

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πŸ”₯ cursor-kit-for-ai | Python

🎯 Primary Use Case:
Accelerating the development of AI-powered applications and services by providing pre-configured, production-ready project structures and AI agent skills.

✨ Key Features:
β€’ Production-ready project templates
β€’ CLI for project creation and plugin management
β€’ Extensible plugin system for Cursor AI skills
β€’ Support for various stacks including FastAPI, React, PostgreSQL, Redis, Docker, and Kubernetes

πŸ“– Summary:
Cursor Kit for AI is a scaffolding library that provides production-ready project templates and plugins for developers using Cursor AI. It enables the rapid creation of full-stack applications, bots, and DevOps solutions with a single CLI command, significantly accelerating development.

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πŸ’‘ Frosty | Shell

🎯 Primary Use Case:
To significantly improve Android device battery life by optimizing and restricting background Google services and other power-hungry processes.

✨ Key Features:
β€’ GMS Freezing across 8 categories
β€’ App Doze and Deep Doze for aggressive background restrictions
β€’ Screen Off Optimization (disabling connections, RAM cleaner)
β€’ Kill Google Tracking (analytics, telemetry, ad tracking)
β€’ Kernel Tweaks (scheduler, VM, network)

πŸ“– Summary:
Frosty is an advanced Android module designed to significantly enhance battery life by freezing Google Mobile Services (GMS) and implementing system-wide doze optimizations. It offers granular control over GMS categories, app dozing, background restrictions, and screen-off optimizations, all configurable via a WebUI.

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🌟 opentrashmail | PHP

🎯 Primary Use Case:
To provide a self-hosted, flexible, and temporary email receiving service for various applications, including testing, automation (like 2FA), and privacy-focused sign-ups.

✨ Key Features:
β€’ Python-powered mail server
β€’ RSS feed for every email address
β€’ JSON API for integration
β€’ Webhooks with customizable payloads
β€’ Handles attachments

πŸ“– Summary:
Open Trashmail is a self-hosted, open-source solution for managing temporary email addresses. It provides a mail server that can receive emails and make them accessible via a web interface, JSON API, RSS feed, and custom webhooks, without requiring pre-creation of email addresses.

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✨ ultra | C#

🎯 Primary Use Case:
Performance profiling and analysis of .NET applications on Windows and macOS.

✨ Key Features:
β€’ Sampling profiler (ETW on Windows, EventPipe on macOS ARM64)
β€’ UI based on https://profiler.firefox.com/
β€’ Timeline, Flamegraph, Call Tree, Marker Chart visualizations
β€’ Precise kernel, native, and managed function call stacks
β€’ .NET GC Memory track

πŸ“– Summary:
Ultra is an advanced profiler for .NET applications on Windows and macOS, providing detailed performance insights through sampling and ETW/EventPipe data. It visualizes performance data using a UI similar to Firefox Profiler, offering features like timeline, flamegraph, and call tree views.

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🌟 Automated-AI-Web-Researcher-Ollama | Python

🎯 Primary Use Case:
To automate the process of online research by using an LLM to identify research topics, gather information from the web, and synthesize findings.

✨ Key Features:
β€’ Automated research planning with prioritized focus areas
β€’ Systematic web searching and content analysis
β€’ All research content and source URLs saved into a detailed text document
β€’ Research summary generation

πŸ“– Summary:
This Python repository transforms a locally run LLM via Ollama into an automated web researcher. It takes a single query, breaks it down into researchable focus areas, performs web searches, scrapes content, and compiles findings into a document. The LLM can then summarize the research and answer questions about it.

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πŸš€ Antibot-Detector | JavaScript

🎯 Primary Use Case:
To provide users with real-time insights into the bot detection and anti-scraping mechanisms employed by websites, aiding security researchers and web developers.

✨ Key Features:
β€’ Real-time detection of anti-bot systems, CAPTCHAs, and fingerprinting
β€’ Multi-layer detection system (DOM, Network, Payload, JS Hooks, Window Properties)
β€’ Support for major anti-bot systems (Cloudflare, Akamai, DataDome, etc.)

πŸ“– Summary:
This Chrome extension detects and analyzes various anti-bot systems, CAPTCHAs, and browser fingerprinting techniques in real-time. It provides users with confidence scores, detection history, and advanced tools to understand how websites protect themselves from automated access.

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πŸ’‘ colota | TypeScript

🎯 Primary Use Case:
Users who want to track their location privately and send it to their own server, rather than relying on third-party services.

✨ Key Features:
β€’ Self-Hosted
β€’ Privacy First
β€’ Works Offline
β€’ Offline Maps
β€’ Scheduled Export

πŸ“– Summary:
Colota is a self-hosted GPS location tracking application for Android devices. It allows users to send their location data to a private server, offering features like offline functionality, geofencing, and encrypted backups, all while prioritizing user privacy with no analytics or telemetry.

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