#python #information_gathering #instagram #instagram_scraper #open_source_intelligence #osint #osint_tools #python
Toutatis is a tool that helps you get information from Instagram accounts. It can find details like emails, phone numbers, and more. To use it, you need Python 3 and an Instagram session ID. You can install it using PyPI or GitHub. Once installed, you can use it to find information by username or Instagram ID. This tool is useful for professionals who need to gather data from Instagram accounts quickly and easily.
https://github.com/megadose/toutatis
Toutatis is a tool that helps you get information from Instagram accounts. It can find details like emails, phone numbers, and more. To use it, you need Python 3 and an Instagram session ID. You can install it using PyPI or GitHub. Once installed, you can use it to find information by username or Instagram ID. This tool is useful for professionals who need to gather data from Instagram accounts quickly and easily.
https://github.com/megadose/toutatis
GitHub
GitHub - megadose/toutatis: Toutatis is a tool that allows you to extract information from instagrams accounts such as e-mails…
Toutatis is a tool that allows you to extract information from instagrams accounts such as e-mails, phone numbers and more - megadose/toutatis
#other #awesome_list #brasil #ciencia_da_computacao #computer_science #curriculo #cursos #hacktoberfest
The MIT License is a simple and permissive software license that lets you freely use, copy, modify, merge, publish, distribute, sublicense, and sell software, as long as you include the original copyright notice and license text in all copies. It does not require you to share your changes or make your code open source. The software is provided "as is," without any warranty, so the authors are not responsible for any problems. This license gives you great freedom and flexibility to use software for any purpose, including commercial, with minimal legal restrictions[1][3][5]. This benefits you by allowing easy and safe use and sharing of software without complex legal barriers.
https://github.com/Universidade-Livre/ciencia-da-computacao
The MIT License is a simple and permissive software license that lets you freely use, copy, modify, merge, publish, distribute, sublicense, and sell software, as long as you include the original copyright notice and license text in all copies. It does not require you to share your changes or make your code open source. The software is provided "as is," without any warranty, so the authors are not responsible for any problems. This license gives you great freedom and flexibility to use software for any purpose, including commercial, with minimal legal restrictions[1][3][5]. This benefits you by allowing easy and safe use and sharing of software without complex legal barriers.
https://github.com/Universidade-Livre/ciencia-da-computacao
GitHub
GitHub - Universidade-Livre/ciencia-da-computacao: 🎓 Um caminho para a educação autodidata em Ciência da Computação!
🎓 Um caminho para a educação autodidata em Ciência da Computação! - Universidade-Livre/ciencia-da-computacao
#haxe #cne #codename_engine #fnf #fnf_engine #fnf_team #fridaynightfunkin
Codename Engine is a new, easy-to-use engine for Friday Night Funkin' that makes modding simpler and more flexible. It is still in beta, so some features are missing, but it supports creating and playing mods, modpacks, and even making your own sub-engines with proper credit. You can build it on Windows, Linux, or Mac by following specific steps. The engine is optimized and allows source-like editing without constant recompiling, making it great for both beginners and advanced modders. Using Codename Engine helps you customize your Friday Night Funkin' experience more easily and creatively[1][3][5].
https://github.com/CodenameCrew/CodenameEngine
Codename Engine is a new, easy-to-use engine for Friday Night Funkin' that makes modding simpler and more flexible. It is still in beta, so some features are missing, but it supports creating and playing mods, modpacks, and even making your own sub-engines with proper credit. You can build it on Windows, Linux, or Mac by following specific steps. The engine is optimized and allows source-like editing without constant recompiling, making it great for both beginners and advanced modders. Using Codename Engine helps you customize your Friday Night Funkin' experience more easily and creatively[1][3][5].
https://github.com/CodenameCrew/CodenameEngine
GitHub
GitHub - CodenameCrew/CodenameEngine: awesome fnf engine :D
awesome fnf engine :D. Contribute to CodenameCrew/CodenameEngine development by creating an account on GitHub.
#rust #bigdata #cloud_native #distributed_systems #filesystem #minio #object_storage #oss #rust #s3
RustFS is a fast and safe distributed object storage system built with Rust, offering high performance and scalability for large data needs like AI and big data. It is compatible with S3, easy to use, and open source under the business-friendly Apache 2.0 license. Compared to others like MinIO, RustFS provides better memory safety, no risky data logging, and supports local cloud providers. You can quickly install it via a script or Docker, manage storage through a simple web console, and benefit from a strong community and detailed documentation. This makes RustFS a reliable, cost-effective choice for secure, scalable storage.
https://github.com/rustfs/rustfs
RustFS is a fast and safe distributed object storage system built with Rust, offering high performance and scalability for large data needs like AI and big data. It is compatible with S3, easy to use, and open source under the business-friendly Apache 2.0 license. Compared to others like MinIO, RustFS provides better memory safety, no risky data logging, and supports local cloud providers. You can quickly install it via a script or Docker, manage storage through a simple web console, and benefit from a strong community and detailed documentation. This makes RustFS a reliable, cost-effective choice for secure, scalable storage.
https://github.com/rustfs/rustfs
GitHub
GitHub - rustfs/rustfs: 🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance…
🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platfor...
#html #documentation #hacktoberfest #hass #hassio #home_assistant #jekyll
You can set up and contribute to the Home Assistant website easily by following the developer documentation, which explains how to edit and preview the site locally using simple commands. This helps you see your changes live on your computer before sharing them. There are also tools to speed up website updates by temporarily hiding blog posts you’re not working on, making the process faster. This setup benefits you by making it straightforward to improve the site, test changes quickly, and manage content efficiently without delays. It’s designed to support smooth collaboration and faster website maintenance.
https://github.com/home-assistant/home-assistant.io
You can set up and contribute to the Home Assistant website easily by following the developer documentation, which explains how to edit and preview the site locally using simple commands. This helps you see your changes live on your computer before sharing them. There are also tools to speed up website updates by temporarily hiding blog posts you’re not working on, making the process faster. This setup benefits you by making it straightforward to improve the site, test changes quickly, and manage content efficiently without delays. It’s designed to support smooth collaboration and faster website maintenance.
https://github.com/home-assistant/home-assistant.io
GitHub
GitHub - home-assistant/home-assistant.io: :blue_book: Home Assistant User documentation
:blue_book: Home Assistant User documentation. Contribute to home-assistant/home-assistant.io development by creating an account on GitHub.
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#cplusplus #aes #avx #avx_instructions #chrome #chrome_devtools #chromedriver #chromium #chromium_browser #content_shell #jpeg_xl #jpegxl #jxl #libjxl #linux #thorium #thorium_browser #thoriumos #web_browser #web_platform #webbrowser
Thorium is a fast, optimized web browser based on Chromium, designed to work well on modern CPUs with advanced instruction sets like AVX and SSE4. It offers better performance than standard Chromium and Chrome, opening tabs and rendering pages quickly. Thorium includes enhanced privacy features such as DNS over HTTPS and Do Not Track enabled by default, plus support for modern media formats like HEVC and JPEG XL. It keeps the familiar Chrome interface and supports all Chrome extensions, making it easy to switch. Available on Windows, Linux, macOS, Android, and Raspberry Pi, it suits users wanting speed, privacy, and compatibility across devices[3][5][1].
https://github.com/Alex313031/thorium
Thorium is a fast, optimized web browser based on Chromium, designed to work well on modern CPUs with advanced instruction sets like AVX and SSE4. It offers better performance than standard Chromium and Chrome, opening tabs and rendering pages quickly. Thorium includes enhanced privacy features such as DNS over HTTPS and Do Not Track enabled by default, plus support for modern media formats like HEVC and JPEG XL. It keeps the familiar Chrome interface and supports all Chrome extensions, making it easy to switch. Available on Windows, Linux, macOS, Android, and Raspberry Pi, it suits users wanting speed, privacy, and compatibility across devices[3][5][1].
https://github.com/Alex313031/thorium
GitHub
GitHub - Alex313031/thorium: Chromium fork named after radioactive element No. 90. Windows and MacOS/Raspi/Android/Special builds…
Chromium fork named after radioactive element No. 90. Windows and MacOS/Raspi/Android/Special builds are in different repositories, links are towards the top of the README.md. - Alex313031/thorium
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#rust #cuda #rust
ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs. It aims to give near-native performance on non-NVIDIA hardware, making CUDA applications more accessible. Currently, ZLUDA is still being developed and mainly supports Geekbench tests, so it might not work perfectly with all applications yet. It works on Windows and Linux but not on MacOS. If you have an AMD GPU and want to try running CUDA apps without an NVIDIA card, ZLUDA could be very useful as it opens up more hardware options for CUDA software[3][5].
https://github.com/vosen/ZLUDA
ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs. It aims to give near-native performance on non-NVIDIA hardware, making CUDA applications more accessible. Currently, ZLUDA is still being developed and mainly supports Geekbench tests, so it might not work perfectly with all applications yet. It works on Windows and Linux but not on MacOS. If you have an AMD GPU and want to try running CUDA apps without an NVIDIA card, ZLUDA could be very useful as it opens up more hardware options for CUDA software[3][5].
https://github.com/vosen/ZLUDA
GitHub
GitHub - vosen/ZLUDA: CUDA on non-NVIDIA GPUs
CUDA on non-NVIDIA GPUs. Contribute to vosen/ZLUDA development by creating an account on GitHub.
#rust #fpv #gopro #gpu #gpu_computing #gyroscope #insta360 #rolling_shutter_undistortion #rust #sony_alpha_cameras #stabilization #video #video_processing
Gyroflow is a powerful video stabilization software that uses gyroscope data from cameras like GoPro, Sony, and Insta360 to make your videos smooth and steady. It corrects lens distortion, rolling shutter effects, and can even level the horizon for a professional look. You can preview changes in real-time, use GPU acceleration for fast processing, and apply stabilization directly in popular video editors with plugins. It supports many video formats and works on Windows, Mac, Linux, Android, and iOS. Using Gyroflow helps you create high-quality, cinematic videos without bulky equipment or complicated setups[1][3][5].
https://github.com/gyroflow/gyroflow
Gyroflow is a powerful video stabilization software that uses gyroscope data from cameras like GoPro, Sony, and Insta360 to make your videos smooth and steady. It corrects lens distortion, rolling shutter effects, and can even level the horizon for a professional look. You can preview changes in real-time, use GPU acceleration for fast processing, and apply stabilization directly in popular video editors with plugins. It supports many video formats and works on Windows, Mac, Linux, Android, and iOS. Using Gyroflow helps you create high-quality, cinematic videos without bulky equipment or complicated setups[1][3][5].
https://github.com/gyroflow/gyroflow
GitHub
GitHub - gyroflow/gyroflow: Video stabilization using gyroscope data
Video stabilization using gyroscope data. Contribute to gyroflow/gyroflow development by creating an account on GitHub.
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#go #dev_tools #development_environment #go #golang #ide #jetbrains #remote_development #terraform #vscode
Coder lets you create and manage cloud-based development environments on your own servers or cloud accounts, using Terraform to define setups like VMs, containers, or Kubernetes pods. It securely connects your workspace via a fast tunnel and automatically shuts down idle environments to save money. You can start coding quickly without waiting days to onboard, and use your favorite IDEs like VS Code or JetBrains with easy integration. This means you get flexible, secure, and cost-efficient development spaces that speed up work, protect your code, and let your team collaborate smoothly from anywhere[1][3][5].
https://github.com/coder/coder
Coder lets you create and manage cloud-based development environments on your own servers or cloud accounts, using Terraform to define setups like VMs, containers, or Kubernetes pods. It securely connects your workspace via a fast tunnel and automatically shuts down idle environments to save money. You can start coding quickly without waiting days to onboard, and use your favorite IDEs like VS Code or JetBrains with easy integration. This means you get flexible, secure, and cost-efficient development spaces that speed up work, protect your code, and let your team collaborate smoothly from anywhere[1][3][5].
https://github.com/coder/coder
GitHub
GitHub - coder/coder: Secure environments for developers and their agents
Secure environments for developers and their agents - coder/coder
#rust #ai_agent #developer_tools #enterprise #fine_tuning #on_prem #open_source #rag #self_hosted #swe_bench #vscode
Refact.ai is a free, open-source AI software development agent that helps you code faster and smarter by deeply understanding your code and integrating with tools like GitHub, databases, Docker, and debuggers. It offers unlimited, context-aware code auto-completion, can generate, refactor, explain, debug code, and create tests and documentation across 25+ programming languages. You can run it securely on your own servers, use top AI models like GPT-4o, and connect your own API keys. This means you save time on repetitive tasks, improve code quality, and collaborate better, making your development workflow much more efficient and productive[1][3][5].
https://github.com/smallcloudai/refact
Refact.ai is a free, open-source AI software development agent that helps you code faster and smarter by deeply understanding your code and integrating with tools like GitHub, databases, Docker, and debuggers. It offers unlimited, context-aware code auto-completion, can generate, refactor, explain, debug code, and create tests and documentation across 25+ programming languages. You can run it securely on your own servers, use top AI models like GPT-4o, and connect your own API keys. This means you save time on repetitive tasks, improve code quality, and collaborate better, making your development workflow much more efficient and productive[1][3][5].
https://github.com/smallcloudai/refact
GitHub
GitHub - smallcloudai/refact: AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes…
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result. - smallcloudai/refact
#javascript
You can learn web development easily in Hindi with a course designed for beginners and intermediate learners. It covers important skills like HTML, CSS, JavaScript, front-end and back-end development, and database integration. The course includes real projects and daily updates to help you practice and improve steadily. Learning in Hindi makes it simpler to understand coding concepts and build websites confidently, even if you are new to programming. This course is perfect if you want to start a career in web development or enhance your skills without language barriers. It offers a clear, step-by-step path to becoming a skilled web developer.
https://github.com/CodeWithHarry/Sigma-Web-Dev-Course
You can learn web development easily in Hindi with a course designed for beginners and intermediate learners. It covers important skills like HTML, CSS, JavaScript, front-end and back-end development, and database integration. The course includes real projects and daily updates to help you practice and improve steadily. Learning in Hindi makes it simpler to understand coding concepts and build websites confidently, even if you are new to programming. This course is perfect if you want to start a career in web development or enhance your skills without language barriers. It offers a clear, step-by-step path to becoming a skilled web developer.
https://github.com/CodeWithHarry/Sigma-Web-Dev-Course
GitHub
GitHub - CodeWithHarry/Sigma-Web-Dev-Course: Source Code for Sigma Web Development Course
Source Code for Sigma Web Development Course. Contribute to CodeWithHarry/Sigma-Web-Dev-Course development by creating an account on GitHub.
#typescript #12_factor #12_factor_agents #agents #ai #context_window #framework #llms #memory #orchestration #prompt_engineering #rag
The 12-Factor Agents are a set of proven principles to build reliable, scalable, and maintainable AI applications powered by large language models (LLMs). They help you combine the creativity of AI with the stability of traditional software by managing prompts, context, tool calls, error handling, and human collaboration effectively. Instead of relying solely on complex frameworks, you can apply these modular concepts to improve your existing products quickly and reach high-quality AI performance for real users. This approach makes AI software easier to develop, debug, and scale, ensuring it works well in production environments[1][3][5].
https://github.com/humanlayer/12-factor-agents
The 12-Factor Agents are a set of proven principles to build reliable, scalable, and maintainable AI applications powered by large language models (LLMs). They help you combine the creativity of AI with the stability of traditional software by managing prompts, context, tool calls, error handling, and human collaboration effectively. Instead of relying solely on complex frameworks, you can apply these modular concepts to improve your existing products quickly and reach high-quality AI performance for real users. This approach makes AI software easier to develop, debug, and scale, ensuring it works well in production environments[1][3][5].
https://github.com/humanlayer/12-factor-agents
GitHub
GitHub - humanlayer/12-factor-agents: What are the principles we can use to build LLM-powered software that is actually good enough…
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - humanlayer/12-factor-agents
#jupyter_notebook #artificial_intelligence #book #large_language_models #llm #llms #oreilly #oreilly_books
You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs.
https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs.
https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
GitHub
GitHub - HandsOnLLM/Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Official code repo for the O'Reilly Book - "Hands-On Large Language Models" - HandsOnLLM/Hands-On-Large-Language-Models
#python #agent #alibaba #artificial_intelligence #information_seeking #llm #multi_agent #rag #web_agent
You can use advanced AI models like WebSailor and WebDancer from Alibaba's Tongyi Lab to perform complex web tasks such as searching, browsing, and answering questions automatically. These models are trained to think deeply and handle difficult information-seeking tasks that were hard before. WebSailor excels in reasoning and can solve very challenging problems, while WebDancer learns to search and reason on its own through a special training process. Using these tools helps you get accurate, multi-step answers from the web quickly and efficiently, saving you time and effort in research or information gathering. They are open-source and come with demos to try out easily[3].
https://github.com/Alibaba-NLP/WebAgent
You can use advanced AI models like WebSailor and WebDancer from Alibaba's Tongyi Lab to perform complex web tasks such as searching, browsing, and answering questions automatically. These models are trained to think deeply and handle difficult information-seeking tasks that were hard before. WebSailor excels in reasoning and can solve very challenging problems, while WebDancer learns to search and reason on its own through a special training process. Using these tools helps you get accurate, multi-step answers from the web quickly and efficiently, saving you time and effort in research or information gathering. They are open-source and come with demos to try out easily[3].
https://github.com/Alibaba-NLP/WebAgent
GitHub
GitHub - Alibaba-NLP/DeepResearch: Tongyi Deep Research, the Leading Open-source Deep Research Agent
Tongyi Deep Research, the Leading Open-source Deep Research Agent - Alibaba-NLP/DeepResearch
#other #applications #coding #codingchallenges #css #hacktoberfest #html #ideas #javascript #practice
You can improve your coding skills by using a collection of app ideas that are organized by difficulty levels: beginner, intermediate, and advanced. Each project comes with clear goals, user stories to guide development, optional bonus features to enhance learning, and helpful resources. This helps you practice daily, experiment with new technologies, and build a portfolio to impress employers or clients. The projects range from simple tools like calculators to complex apps like chat systems or game engines. This structured approach makes learning coding practical, fun, and effective, helping you grow as a developer step-by-step.
https://github.com/florinpop17/app-ideas
You can improve your coding skills by using a collection of app ideas that are organized by difficulty levels: beginner, intermediate, and advanced. Each project comes with clear goals, user stories to guide development, optional bonus features to enhance learning, and helpful resources. This helps you practice daily, experiment with new technologies, and build a portfolio to impress employers or clients. The projects range from simple tools like calculators to complex apps like chat systems or game engines. This structured approach makes learning coding practical, fun, and effective, helping you grow as a developer step-by-step.
https://github.com/florinpop17/app-ideas
GitHub
GitHub - florinpop17/app-ideas: A Collection of application ideas which can be used to improve your coding skills.
A Collection of application ideas which can be used to improve your coding skills. - florinpop17/app-ideas
#swift #ci #cli #generator #specification #swift #xcode #xcodeproj #xcodeproject #yaml
XcodeGen is a Swift command-line tool that automatically creates your Xcode project based on your folder structure and a simple YAML or JSON configuration file. This means you don’t have to manually manage your Xcode project files, avoiding merge conflicts in Git and keeping your project files always in sync with your folders. It supports complex setups, multiple targets, build settings, and schemes, and works well with CI systems. Using XcodeGen saves you time, reduces errors, and makes collaboration easier by letting you generate and update projects on demand without opening Xcode manually. This helps you focus more on coding and less on project setup.
https://github.com/yonaskolb/XcodeGen
XcodeGen is a Swift command-line tool that automatically creates your Xcode project based on your folder structure and a simple YAML or JSON configuration file. This means you don’t have to manually manage your Xcode project files, avoiding merge conflicts in Git and keeping your project files always in sync with your folders. It supports complex setups, multiple targets, build settings, and schemes, and works well with CI systems. Using XcodeGen saves you time, reduces errors, and makes collaboration easier by letting you generate and update projects on demand without opening Xcode manually. This helps you focus more on coding and less on project setup.
https://github.com/yonaskolb/XcodeGen
GitHub
GitHub - yonaskolb/XcodeGen: A Swift command line tool for generating your Xcode project
A Swift command line tool for generating your Xcode project - yonaskolb/XcodeGen
#other
This resource is a huge, well-organized collection of computer vision materials including books, courses, papers, software, datasets, tutorials, and tools. It covers everything from beginner to advanced topics like image processing, object detection, 3D vision, deep learning, and more. You can find free and paid courses from top universities, open-source libraries like OpenCV, pre-trained models, and datasets for practice. This helps you learn computer vision efficiently, find the right tools, and stay updated with the latest research and applications, saving you time and effort in your learning or project development. It’s great for students, researchers, and developers.
https://github.com/jbhuang0604/awesome-computer-vision
This resource is a huge, well-organized collection of computer vision materials including books, courses, papers, software, datasets, tutorials, and tools. It covers everything from beginner to advanced topics like image processing, object detection, 3D vision, deep learning, and more. You can find free and paid courses from top universities, open-source libraries like OpenCV, pre-trained models, and datasets for practice. This helps you learn computer vision efficiently, find the right tools, and stay updated with the latest research and applications, saving you time and effort in your learning or project development. It’s great for students, researchers, and developers.
https://github.com/jbhuang0604/awesome-computer-vision
GitHub
GitHub - jbhuang0604/awesome-computer-vision: A curated list of awesome computer vision resources
A curated list of awesome computer vision resources - jbhuang0604/awesome-computer-vision
#dart #capture_traffic #httpdebug #proxy #proxypin #zhuabao
ProxyPin is a free, open-source tool that lets you capture, inspect, and modify HTTP(S) traffic on many devices like Windows, Mac, Android, iOS, and Linux. It’s easy to use with a nice interface and supports features like scanning QR codes to connect devices without manual setup, filtering traffic by domain, searching requests, rewriting or blocking requests, and saving traffic history. You can also write JavaScript scripts to customize how requests and responses are handled. This helps you debug network issues, analyze app traffic (including Flutter apps), and improve security or performance efficiently across platforms[1][3].
https://github.com/wanghongenpin/proxypin
ProxyPin is a free, open-source tool that lets you capture, inspect, and modify HTTP(S) traffic on many devices like Windows, Mac, Android, iOS, and Linux. It’s easy to use with a nice interface and supports features like scanning QR codes to connect devices without manual setup, filtering traffic by domain, searching requests, rewriting or blocking requests, and saving traffic history. You can also write JavaScript scripts to customize how requests and responses are handled. This helps you debug network issues, analyze app traffic (including Flutter apps), and improve security or performance efficiently across platforms[1][3].
https://github.com/wanghongenpin/proxypin
GitHub
GitHub - wanghongenpin/proxypin: Open source free capture HTTP(S) traffic software ProxyPin, supporting full platform systems
Open source free capture HTTP(S) traffic software ProxyPin, supporting full platform systems - wanghongenpin/proxypin
❤1
#go #douyin #kuaishou #res_downloader #wechat #wechat_video #xiaohongshu
res-downloader is a user-friendly, cross-platform tool for downloading videos, music, images, and live streams from many popular platforms like WeChat, Douyin, Kuaishou, Xiaohongshu, and music apps. It works on Windows, macOS, and Linux, and supports proxy settings to help you get resources even on restricted networks. The tool is easy to use with a clear interface, automatically detects available resources, and lets you download them with just a few clicks. This makes it convenient for anyone who wants to quickly and easily save online content for personal use[1][2][3].
https://github.com/putyy/res-downloader
res-downloader is a user-friendly, cross-platform tool for downloading videos, music, images, and live streams from many popular platforms like WeChat, Douyin, Kuaishou, Xiaohongshu, and music apps. It works on Windows, macOS, and Linux, and supports proxy settings to help you get resources even on restricted networks. The tool is easy to use with a clear interface, automatically detects available resources, and lets you download them with just a few clicks. This makes it convenient for anyone who wants to quickly and easily save online content for personal use[1][2][3].
https://github.com/putyy/res-downloader
GitHub
GitHub - putyy/res-downloader: 视频号、小程序、抖音、快手、小红书、直播流、m3u8、酷狗、QQ音乐等常见网络资源下载!
视频号、小程序、抖音、快手、小红书、直播流、m3u8、酷狗、QQ音乐等常见网络资源下载! Contribute to putyy/res-downloader development by creating an account on GitHub.
#go #databases #genai #llms #mcp
The MCP Toolbox for Databases helps developers connect AI agents to databases more easily and securely. It simplifies the process by handling complex tasks like connection pooling and authentication, allowing you to integrate databases with AI agents using minimal code. This toolbox supports the Model Context Protocol (MCP), which standardizes how AI interacts with external tools. By using MCP Toolbox, you can automate database tasks, query databases using natural language, and generate context-aware code, all of which save time and improve development efficiency.
https://github.com/googleapis/genai-toolbox
The MCP Toolbox for Databases helps developers connect AI agents to databases more easily and securely. It simplifies the process by handling complex tasks like connection pooling and authentication, allowing you to integrate databases with AI agents using minimal code. This toolbox supports the Model Context Protocol (MCP), which standardizes how AI interacts with external tools. By using MCP Toolbox, you can automate database tasks, query databases using natural language, and generate context-aware code, all of which save time and improve development efficiency.
https://github.com/googleapis/genai-toolbox
GitHub
GitHub - googleapis/genai-toolbox: MCP Toolbox for Databases is an open source MCP server for databases.
MCP Toolbox for Databases is an open source MCP server for databases. - googleapis/genai-toolbox