Open Source ChromeOS Software - Page 30
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Software for ChromeOS
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ATC-pie
Air traffic control tower and radar simulator (solo + multi-player)
ATC-pie is an air traffic control simulation program. It features solo, multi-player and teacher-student sessions, rendering 3D views of airports through FlightGear. It is essentially designed for realism, and simulates real-life ATC tasks and equipment such as strip racks and sequence management, handovers to/from neighbouring controllers, flight plans, primary & secondary radars, RDF, CPDLC, ATIS recording... -
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GHydraulics
Create EPANET models in QGIS
Open Source Hydraulic Network Analysis Software. A plug-in for Quantum GIS (QGIS) that allows you to create EPANET hydraulic analysis models. EPANET is a popular open source software to analyze water supply networks. -
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XSLT syntax highlighting
Java based XSLT Processor extension for syntax highlighting
Please note that project moved to GitHub: https://github.com/xmlark/xslthl This is an implementation of syntax highlighting as an extension module for XSLT processors (Xalan, Saxon), so if you have e.g. article about programming written in DocBook, code examples can be automatically syntax highlighted during the XSLT processing phase. -
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OS X Portable Applications
Portable OS X FOSS applications
OS X FOSS portable applications are packaged so you can carry around on any portable device, USB thumb drive, iPod, portable hard drive, memory card, other portable device (or also on your internal hard disk), taking your preferences with you. -
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Argus
Python toolkit for OSINT and reconnaissance with 135+ modules
Argus is a Python-based open source toolkit designed to simplify information gathering and reconnaissance tasks in cybersecurity. It provides an integrated command-line environment that consolidates numerous reconnaissance utilities into a single framework. The tool enables users to collect data about networks, domains, web applications, and infrastructure in an organized and efficient manner. Argus includes a modular architecture with more than 130 modules that support activities such as DNS analysis, port scanning, web application inspection, and threat intelligence lookups. Its interactive CLI allows users to browse available modules, configure targets, run scans, and review results from within a unified interface. The project aims to reduce the complexity of using multiple separate reconnaissance tools by bringing them together in one streamlined platform. Argus also supports integrations with external intelligence services. -
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AxonHub
Use any SDK to call 100+ LLMs
AxonHub is an open-source AI gateway platform designed to simplify the process of integrating and switching between different large language model providers. The system acts as a compatibility layer that allows developers to use the same SDK interface while routing requests to various AI services behind the scenes. Instead of rewriting code when switching providers such as OpenAI or Anthropic, developers can simply change configuration settings within the gateway. AxonHub translates requests from one provider’s API format into another, enabling seamless interoperability across different AI platforms. The system also provides infrastructure features such as request routing, failover mechanisms, load balancing, and cost management for AI applications. This architecture makes it easier to experiment with multiple models and manage production deployments that rely on several providers simultaneously. -
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ByePassHub
2500+ UNRESTRICTED unblockers, games, exploits, bookmarklets, and AI
ByePassHub is an open-source project focused on aggregating and organizing tools, techniques, and resources related to bypassing restrictions in various digital environments, such as network limitations, content blocks, or platform constraints. It acts as a centralized hub that compiles different bypass methods and utilities, providing users with a structured way to explore alternative access strategies. The project is typically organized as a collection of scripts, guides, and references rather than a single executable application. It emphasizes accessibility and ease of understanding, allowing users to quickly identify relevant tools or approaches for their specific use case. The repository may include examples of proxy usage, configuration techniques, or methods for circumventing access restrictions in controlled environments. It also reflects ongoing experimentation and community contributions, making it a dynamic and evolving resource. -
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ChatGPT DAN
ChatGPT DAN, Jailbreaks prompt
ChatGPT_DAN is a repository that explores prompt engineering techniques designed to alter or expand the behavior of AI language models by crafting specific instructions that influence how responses are generated. The project focuses on creating and refining prompts that encourage models to operate outside of their default constraints, often simulating alternative personas or unrestricted modes of interaction. It serves as a collection of experimental prompt patterns that demonstrate how language models can be guided through carefully structured input. The repository is often used as a learning resource for understanding the mechanics of prompt design and model behavior manipulation. It highlights both the capabilities and limitations of large language models when exposed to unconventional instructions. The project reflects ongoing experimentation within the AI community around control, alignment, and creative use of generative systems. -
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Clean Code JavaScript
Clean Code concepts adapted for JavaScript
clean-code-javascript adapts Robert C. Martin’s Clean Code principles to the JavaScript ecosystem, presenting them as pragmatic, example-driven guidelines rather than a prescriptive style guide. It focuses on writing code that is readable, searchable, testable, and easy to refactor, using before/after (“Bad/Good”) snippets to make each idea concrete. The repository covers everyday concerns—naming, functions, conditionals, objects, classes, and error handling—showing how small choices compound into maintainable systems. Modern JavaScript features (e.g., default parameters, destructuring, classes, array methods) are used to illustrate clearer APIs and fewer side effects. Throughout, the guidance encourages single-purpose functions, avoiding unnecessary context and duplications, and favoring functional patterns where they improve clarity. It’s a reference you dip into to assess your code’s clarity and consistency, not a checklist of rules to follow blindly. -
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Descent 3
Descent 3 by Outrage Entertainment
The Descent3 repository is the open source release of the Descent 3 game engine by Outrage Entertainment, maintained by the community under the GPL-3.0 license. It provides the full C and C++ engine source code, including the historically significant “1.5” patch that was previously created by developers and later stabilized by fans. The codebase covers the game’s rendering, physics, audio, networking, tools, and editor components, allowing enthusiasts to build, run, and modify the classic 6-degrees-of-freedom space shooter on modern systems. To actually play the game, users must supply their own original game assets, following instructions in the repository’s usage documentation. The project uses CMake and related modern tooling for cross-platform builds, with support for Linux and Windows among other environments. A dedicated community maintains the engine, publishes updated releases, documents internals on a wiki, and coordinates contributions via an active Discord server and GitHub. -
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FreeScout
Free self-hosted help desk & shared mailbox
FreeScout is a super lightweight and powerful free open source help desk and shared inbox written in PHP (Laravel framework). It is a self-hosted clone of HelpScout. Now you can enjoy free Zendesk & Help Scout without giving up privacy or locking you into a service you don't control. FreeScout is the perfect help desk solution for those who need to provide professional customer support, but who can not afford to pay for Zendesk or Help Scout. FreeScout is a pure open source PHP/MySQL application, so it can be easily deployed even on shared hosting. -
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Frigate NVR
NVR with realtime local object detection for IP cameras
Frigate is a local network video recorder designed for real-time object detection on IP camera streams using machine learning. It runs entirely on local hardware and integrates closely with Home Assistant to provide smart surveillance without relying on cloud processing. The system uses OpenCV and TensorFlow to analyze video feeds and detect objects such as people, vehicles, and animals in real time. Frigate is optimized for efficiency and supports hardware acceleration across a wide range of devices, including GPUs and specialized inference hardware. It also provides event recording, snapshot management, and searchable video history to improve home or small-business security workflows. Overall, Frigate functions as a privacy-focused, AI-powered NVR platform for intelligent video monitoring. -
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Hindsight
Hindsight: Agent Memory That Learns
Hindsight is an advanced, open-source memory system for AI agents designed to enable long-term learning, reasoning, and consistency across interactions by treating memory as a first-class component of intelligence rather than a simple retrieval layer. It addresses one of the core limitations of modern AI agents, which is their inability to retain and meaningfully use past experiences over time, by introducing a structured, biomimetic memory architecture inspired by how human memory works. Instead of relying solely on vector similarity or basic retrieval techniques, Hindsight organizes information into distinct categories such as facts, experiences, beliefs, and observations, allowing agents to differentiate between raw data and inferred knowledge. The system operates through three core mechanisms—retain, recall, and reflect—which respectively handle storing information, retrieving relevant context, and generating new insights based on accumulated experience. -
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Intent UI
Intent UI is a chill set of React components
Intent UI is a modern React component library focused on accessibility, customization, and developer ownership, built on top of React Aria Components and styled with Tailwind CSS. It follows a copy-and-paste philosophy similar to shadcn/ui, allowing developers to directly integrate and modify components within their own codebases instead of relying on rigid dependencies. The library emphasizes accessible design by leveraging ARIA standards and best practices, ensuring that components work well with keyboard navigation and assistive technologies. It includes a wide range of components such as overlays, forms, visualizations, and layout elements, making it suitable for building full web applications. Intent UI also provides templates, blocks, and starter kits that accelerate development and reduce setup time for new projects. Its integration with modern frameworks like Next.js, Vite, and TanStack Router further enhances its flexibility and ease of adoption. -
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Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and networking. It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. By consolidating essential knowledge in one place, the project helps learners efficiently review concepts and practice effectively for interviews. -
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Kreuzberg
Polyglot document intelligence framework
Kreuzberg is a flexible task orchestration and agent workflow platform designed to help developers build, coordinate, and scale intelligent agents or automation pipelines that interact with external services, runtime environments, and multi-step business workflows. It emphasizes modular design so that developers can define discrete tasks or “actions” and then compose them into complex flows where dependencies, parallel steps, and error handling are declaratively managed. This structure makes it simpler to build resilient automation pipelines that span multiple technologies or APIs without needing to glue everything together manually. The platform also supports observability and monitoring, helping teams trace the progression of workflows, catch errors early, and evaluate performance trends in orchestrated systems. -
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LTX-Video
Official repository for LTX-Video
LTX-Video is a sophisticated multimedia processing framework from Lightricks designed to handle high-quality video editing, compositing, and transformation tasks with performance and scalability. It provides runtime components that efficiently decode, encode, and manipulate video streams, frame buffers, and audio tracks while exposing a rich API for building customized editing features like transitions, effects, color grading, and keyframe automation. The toolkit is built with both real-time and offline workflows in mind, enabling applications from consumer editing to professional content creation and batch processing. Internally optimized for multi-core processors and hardware acceleration where available, LTX-Video makes it feasible to work with high-resolution content and complex timelines without sacrificing responsiveness. -
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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
LeetCodeAnimation is an educational open source project by MisterBooo that visually demonstrates algorithm problems from LeetCode through animations. The goal of the project is to help learners understand complex algorithmic concepts intuitively by showing step-by-step animated explanations instead of relying solely on static code or text. Each animation corresponds to a specific problem and illustrates how data structures and algorithms operate dynamically, making it easier to grasp their underlying logic. The project also includes a curated set of 40 problems from the “Sword Pointing to Offer” series—commonly asked in technical interviews—accompanied by detailed analyses and visual breakdowns. These materials are designed for both beginners starting their algorithm journey and experienced developers seeking to reinforce their understanding. Originally published through the WeChat public account “Brother Wu Learns Algorithms”, LeetCodeAnimation has become a valuable learning resource. -
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MemPalace
The highest-scoring AI memory system ever benchmarked
MemPalace is an open-source AI memory system designed to solve one of the most persistent limitations of large language models: the loss of context between sessions. Instead of relying on summarization or selective extraction like most memory tools, it takes a radically different approach by storing conversations in their entirety and making them retrievable through structured organization and semantic search. The system is inspired by the classical “memory palace” mnemonic technique, organizing information into hierarchical spaces such as wings, rooms, and halls, which allows AI agents to navigate past knowledge in a more contextual and intuitive way. It operates fully locally using tools like ChromaDB, meaning it requires no API keys, cloud services, or external dependencies once installed. MemPalace emphasizes fidelity over compression, preserving full conversational history to maintain reasoning, nuance, and decision-making context that is typically lost in other systems. -
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Netcap
A framework for secure and scalable network traffic analysis
The Netcap (NETwork CAPture) framework efficiently converts a stream of network packets into platform-neutral type-safe structured audit records that represent specific protocols or custom abstractions. These audit records can be stored on disk or exchanged over the network, and are well-suited as a data source for machine learning algorithms. Since parsing of untrusted input can be dangerous and network data is potentially malicious, a programming language that provides a garbage-collected memory-safe runtime is used for the implementation. -
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Open Source Text to CAD Harness
An open source harness for generating CAD models
Open Source Text to CAD Harness is an open-source framework that enables the generation of parametric 3D CAD models using natural language prompts interpreted by AI coding agents. It acts as a harness that converts text descriptions into source-controlled CAD scripts, which are then compiled into geometric models using tools like OpenCascade and build123d. The system emphasizes reproducibility by storing CAD logic as editable code rather than opaque binary files, allowing iterative refinement through agent-driven workflows. It includes a local visualization interface called CAD Explorer for inspecting generated geometry and supports multiple export formats for engineering and manufacturing use. The project also integrates modular “skills” for robotics, motion planning, and manufacturing validation, making it highly extensible. Designed to run locally without backend dependencies, it provides a flexible environment for experimentation and production workflows. -
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OpenAI Agent Skills
Skills Catalog for Codex
OpenAI Agent Skills is an open-source repository that serves as a broad catalog of agent skills designed to extend the capabilities of OpenAI Codex and other AI coding agents. It organizes reusable, task-specific workflows, instructions, scripts, and resources into modular skill folders so that an AI agent can reliably perform complex tasks without repeated custom prompting, making agent behavior more predictable and composable. Each skill is defined with clear metadata and instructions organizing how an AI assistant should complete specific tasks ranging from project management to code generation and documentation assistance. The repository supports community contributions, allowing developers to add new skills or update existing ones to keep the catalog relevant and practical for evolving use cases. -
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OpenChronicle
Open-source, local-first memory for any tool-capable LLM agent
OpenChronicle is a knowledge management and storytelling platform designed to organize information into structured timelines and interconnected narratives. It allows users to create chronological records that link events, ideas, and entities in a cohesive format. The system emphasizes visualization and organization of complex information over time. It can be used for research, writing, or personal knowledge tracking. OpenChronicle supports extensibility, enabling customization of how data is structured and displayed. It encourages users to build rich, interconnected knowledge systems. Overall, it transforms static notes into dynamic, timeline-driven narratives. -
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Phaser Editor 2D
A web-based IDE for HTML5 game development. Powered by Phaser
Phaser Editor 2D v3 is a lightweight, multi-platform IDE for HTML5 game development using the Phaser framework. It combines visual tools and code editing capabilities, helping developers design scenes, UI, and game logic in an efficient and organized workflow.
