#typescript
Rachoon is a self-hosted invoicing platform that helps you easily create, manage, and track invoices and offers, perfect for freelancers and small businesses. It organizes client information, tracks payments and overdue invoices, supports multiple currencies and taxes, and lets you customize invoice templates. You can quickly export professional PDFs and get a clear dashboard view of your revenue and client stats. Being self-hosted means you have full control over your billing data. This saves you time, reduces errors, and helps you get paid faster while keeping your invoicing professional and organized.
https://github.com/ad-on-is/rachoon
Rachoon is a self-hosted invoicing platform that helps you easily create, manage, and track invoices and offers, perfect for freelancers and small businesses. It organizes client information, tracks payments and overdue invoices, supports multiple currencies and taxes, and lets you customize invoice templates. You can quickly export professional PDFs and get a clear dashboard view of your revenue and client stats. Being self-hosted means you have full control over your billing data. This saves you time, reduces errors, and helps you get paid faster while keeping your invoicing professional and organized.
https://github.com/ad-on-is/rachoon
GitHub
GitHub - ad-on-is/rachoon: 🦝 Rachoon — A self-hostable way to handle invoices
🦝 Rachoon — A self-hostable way to handle invoices - ad-on-is/rachoon
#go
The MCP Go SDK is an official software toolkit for the Go programming language that helps you easily build and run MCP servers and clients. It provides ready-made packages for core MCP features, OAuth support, and custom transports, letting you connect AI models with external tools and data securely and efficiently. You can create servers that offer AI tools and clients that communicate with them using simple APIs and standard input/output or other transports. This SDK follows the full MCP standard, making it easier to develop AI applications that interact with real-time data and services, improving automation and user experience. It’s open source and designed for production use, saving you time and effort in building AI integrations.
https://github.com/modelcontextprotocol/go-sdk
The MCP Go SDK is an official software toolkit for the Go programming language that helps you easily build and run MCP servers and clients. It provides ready-made packages for core MCP features, OAuth support, and custom transports, letting you connect AI models with external tools and data securely and efficiently. You can create servers that offer AI tools and clients that communicate with them using simple APIs and standard input/output or other transports. This SDK follows the full MCP standard, making it easier to develop AI applications that interact with real-time data and services, improving automation and user experience. It’s open source and designed for production use, saving you time and effort in building AI integrations.
https://github.com/modelcontextprotocol/go-sdk
GitHub
GitHub - modelcontextprotocol/go-sdk: The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration…
The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google. - modelcontextprotocol/go-sdk
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#ruby
Gumroad is an easy-to-use platform that lets creators sell digital products, courses, subscriptions, and even physical goods directly to customers. It offers simple setup, secure payments, and helpful tools for marketing and tracking sales. Users can start selling quickly without needing a website or technical skills. The benefit is that anyone can turn their ideas into a business fast, reach more people, and keep more of their earnings with low fees and direct customer contact.
https://github.com/antiwork/gumroad
Gumroad is an easy-to-use platform that lets creators sell digital products, courses, subscriptions, and even physical goods directly to customers. It offers simple setup, secure payments, and helpful tools for marketing and tracking sales. Users can start selling quickly without needing a website or technical skills. The benefit is that anyone can turn their ideas into a business fast, reach more people, and keep more of their earnings with low fees and direct customer contact.
https://github.com/antiwork/gumroad
GitHub
GitHub - antiwork/gumroad: Sell stuff and see what sticks
Sell stuff and see what sticks. Contribute to antiwork/gumroad development by creating an account on GitHub.
#python #agents #artificial_intelligence #cybersecurity #generative_ai #llm #penetration_testing
Strix is a free, open-source tool that uses AI agents to automatically find and fix security problems in your apps by acting like real hackers—running your code, hunting for vulnerabilities, and proving they’re real by actually exploiting them, not just guessing[1][2]. It works fast, gives clear reports, and can even suggest fixes or create pull requests to help you secure your code quickly. You can run it on your own computer, in your development pipeline, or use a cloud version for easier setup. The main benefit is that you get thorough, real-world security testing without the slow pace and high cost of manual checks, helping you catch and fix issues before they become serious problems.
https://github.com/usestrix/strix
Strix is a free, open-source tool that uses AI agents to automatically find and fix security problems in your apps by acting like real hackers—running your code, hunting for vulnerabilities, and proving they’re real by actually exploiting them, not just guessing[1][2]. It works fast, gives clear reports, and can even suggest fixes or create pull requests to help you secure your code quickly. You can run it on your own computer, in your development pipeline, or use a cloud version for easier setup. The main benefit is that you get thorough, real-world security testing without the slow pace and high cost of manual checks, helping you catch and fix issues before they become serious problems.
https://github.com/usestrix/strix
GitHub
GitHub - usestrix/strix: Open-source AI agents for penetration testing
Open-source AI agents for penetration testing. Contribute to usestrix/strix development by creating an account on GitHub.
#python
You can use Tinker and Tinker Cookbook to easily fine-tune large language models (LLMs) for your specific needs without managing complex training infrastructure. Tinker handles distributed training and uses efficient LoRA adapters to reduce costs and speed up customization. The Cookbook offers ready-made examples and tools for tasks like chat, math reasoning, and reinforcement learning, helping you quickly build and improve AI models. This means you can create AI that better fits your domain, runs faster, and follows your rules, all while saving time and computing resources. It’s great for researchers, developers, and teams wanting powerful, flexible AI customization.
https://github.com/thinking-machines-lab/tinker-cookbook
You can use Tinker and Tinker Cookbook to easily fine-tune large language models (LLMs) for your specific needs without managing complex training infrastructure. Tinker handles distributed training and uses efficient LoRA adapters to reduce costs and speed up customization. The Cookbook offers ready-made examples and tools for tasks like chat, math reasoning, and reinforcement learning, helping you quickly build and improve AI models. This means you can create AI that better fits your domain, runs faster, and follows your rules, all while saving time and computing resources. It’s great for researchers, developers, and teams wanting powerful, flexible AI customization.
https://github.com/thinking-machines-lab/tinker-cookbook
GitHub
GitHub - thinking-machines-lab/tinker-cookbook: Post-training with Tinker
Post-training with Tinker. Contribute to thinking-machines-lab/tinker-cookbook development by creating an account on GitHub.
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#python
This project teaches you how to build a real-world AI research assistant that automatically finds, reads, and answers questions about academic papers using a technique called Retrieval-Augmented Generation (RAG)[1][2][3]. RAG works by first searching for the most relevant information from a large collection of documents, then using a language model to generate clear, accurate answers based on that information—this means you get answers that are up-to-date and grounded in real sources, not just what the AI remembers from its training[1][2][3]. The course is hands-on: each week, you add a new piece, starting with setting up the technical infrastructure, then building automated data pipelines to fetch and process papers, adding powerful search tools (first with keywords, then with AI-powered semantic search), and finally connecting everything to a local AI model that can chat with you and explain complex topics in simple language. By the end, you’ll have a working system you can use to quickly find and understand research papers, and you’ll gain the skills to build similar AI tools for any field—all while learning the best practices used by professional engineers. The main benefit is that you get practical, production-ready AI skills and a tool that makes research faster and more reliable, with answers you can trust because they come directly from the latest papers.
https://github.com/jamwithai/arxiv-paper-curator
This project teaches you how to build a real-world AI research assistant that automatically finds, reads, and answers questions about academic papers using a technique called Retrieval-Augmented Generation (RAG)[1][2][3]. RAG works by first searching for the most relevant information from a large collection of documents, then using a language model to generate clear, accurate answers based on that information—this means you get answers that are up-to-date and grounded in real sources, not just what the AI remembers from its training[1][2][3]. The course is hands-on: each week, you add a new piece, starting with setting up the technical infrastructure, then building automated data pipelines to fetch and process papers, adding powerful search tools (first with keywords, then with AI-powered semantic search), and finally connecting everything to a local AI model that can chat with you and explain complex topics in simple language. By the end, you’ll have a working system you can use to quickly find and understand research papers, and you’ll gain the skills to build similar AI tools for any field—all while learning the best practices used by professional engineers. The main benefit is that you get practical, production-ready AI skills and a tool that makes research faster and more reliable, with answers you can trust because they come directly from the latest papers.
https://github.com/jamwithai/arxiv-paper-curator
GitHub
GitHub - jamwithai/arxiv-paper-curator
Contribute to jamwithai/arxiv-paper-curator development by creating an account on GitHub.
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#rust #librespot #rust #spotify #spotify_connect
Librespot is a free, open-source tool that lets you play and control Spotify music on your own devices, acting like a Spotify Connect receiver. It works with Spotify Premium and supports many audio systems, letting you stream music easily and privately. You can install it on different operating systems and customize how it works, making it simple to use Spotify on devices that don’t officially support it.
https://github.com/librespot-org/librespot
Librespot is a free, open-source tool that lets you play and control Spotify music on your own devices, acting like a Spotify Connect receiver. It works with Spotify Premium and supports many audio systems, letting you stream music easily and privately. You can install it on different operating systems and customize how it works, making it simple to use Spotify on devices that don’t officially support it.
https://github.com/librespot-org/librespot
GitHub
GitHub - librespot-org/librespot: Open Source Spotify client library
Open Source Spotify client library. Contribute to librespot-org/librespot development by creating an account on GitHub.
#shell #aesthetic #dark_mode #dynamic #hyde #hyprdots #light_mode #themes #unix_porn #wallpapers
HyDE is a clean, modular, and visually appealing development environment designed for Hyprland on Arch Linux and some Arch-based distros. It offers easy installation via a script that auto-detects NVIDIA cards and configures necessary drivers, but it may conflict with existing desktop environments or theming. You can customize it with many official and community themes using a tool called themepatcher. HyDE keeps your configuration organized and separate from core scripts, making updates safer and simpler. It also supports running in a virtual machine for testing. Joining the HyDE Discord community helps you get support and share ideas. This setup benefits you by providing a stylish, maintainable, and customizable desktop environment with a smooth update process and community support.
https://github.com/HyDE-Project/HyDE
HyDE is a clean, modular, and visually appealing development environment designed for Hyprland on Arch Linux and some Arch-based distros. It offers easy installation via a script that auto-detects NVIDIA cards and configures necessary drivers, but it may conflict with existing desktop environments or theming. You can customize it with many official and community themes using a tool called themepatcher. HyDE keeps your configuration organized and separate from core scripts, making updates safer and simpler. It also supports running in a virtual machine for testing. Joining the HyDE Discord community helps you get support and share ideas. This setup benefits you by providing a stylish, maintainable, and customizable desktop environment with a smooth update process and community support.
https://github.com/HyDE-Project/HyDE
GitHub
GitHub - HyDE-Project/HyDE: HyDE, your Development Environment 🖥️💻
HyDE, your Development Environment 🖥️💻. Contribute to HyDE-Project/HyDE development by creating an account on GitHub.
#go #a2a #agents #agents_sdk #ai #aiagentframework #gemini #genai #go #llm #mcp #multi_agent_collaboration #multi_agent_systems #sdk #vertex_ai
The Agent Development Kit (ADK) for Go is an open-source toolkit that makes it easy to build, test, and deploy smart AI agents using the Go programming language. It lets you create simple or complex agent workflows, use ready-made or custom tools, and run your agents anywhere, especially in cloud environments. With ADK, you get full control, flexibility, and the ability to scale your applications, making it faster and simpler to develop powerful AI solutions for real-world tasks.
https://github.com/google/adk-go
The Agent Development Kit (ADK) for Go is an open-source toolkit that makes it easy to build, test, and deploy smart AI agents using the Go programming language. It lets you create simple or complex agent workflows, use ready-made or custom tools, and run your agents anywhere, especially in cloud environments. With ADK, you get full control, flexibility, and the ability to scale your applications, making it faster and simpler to develop powerful AI solutions for real-world tasks.
https://github.com/google/adk-go
GitHub
GitHub - google/adk-go: An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with…
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-go
1
#other
Kimi K2 is a powerful AI language model with 1 trillion parameters, designed to understand very long texts and perform complex tasks like coding, reasoning, and using tools autonomously. It excels at writing and debugging code, solving math and science problems, and managing multi-step workflows by calling external tools or APIs automatically. You can access it via an easy-to-use API or deploy it on popular platforms. This means you get a smart assistant that not only answers questions but also acts to complete tasks, making your work faster and more efficient, especially for coding and research projects.
https://github.com/MoonshotAI/Kimi-K2
Kimi K2 is a powerful AI language model with 1 trillion parameters, designed to understand very long texts and perform complex tasks like coding, reasoning, and using tools autonomously. It excels at writing and debugging code, solving math and science problems, and managing multi-step workflows by calling external tools or APIs automatically. You can access it via an easy-to-use API or deploy it on popular platforms. This means you get a smart assistant that not only answers questions but also acts to complete tasks, making your work faster and more efficient, especially for coding and research projects.
https://github.com/MoonshotAI/Kimi-K2
GitHub
GitHub - MoonshotAI/Kimi-K2: Kimi K2 is the large language model series developed by Moonshot AI team
Kimi K2 is the large language model series developed by Moonshot AI team - MoonshotAI/Kimi-K2
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#cplusplus #oculus #oculus_quest #oculus_quest_2 #openxr #vr
WiVRn lets you wirelessly connect your standalone VR headset (like Meta Quest or Pico) to a Linux PC, so you can play PC VR games with the computer doing all the processing. It supports many headsets and uses OpenXR for compatibility with most VR apps, including SteamVR games. You install a server on your Linux PC and a client app on your headset, then connect over WiFi or USB. This setup gives you a wireless VR experience with good tracking and audio, letting you enjoy PC-quality VR without cables. It’s open source and works well on various Linux distributions.
https://github.com/WiVRn/WiVRn
WiVRn lets you wirelessly connect your standalone VR headset (like Meta Quest or Pico) to a Linux PC, so you can play PC VR games with the computer doing all the processing. It supports many headsets and uses OpenXR for compatibility with most VR apps, including SteamVR games. You install a server on your Linux PC and a client app on your headset, then connect over WiFi or USB. This setup gives you a wireless VR experience with good tracking and audio, letting you enjoy PC-quality VR without cables. It’s open source and works well on various Linux distributions.
https://github.com/WiVRn/WiVRn
GitHub
GitHub - WiVRn/WiVRn: The Linux OpenXR streaming application to standalone headsets
The Linux OpenXR streaming application to standalone headsets - WiVRn/WiVRn
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#qml #dotfiles #hyprland #linux #material_design #quickshell #rice #ricing #unixporn #wayland
This Hyprland dotfiles setup gives you a modern, easy-to-use Linux desktop with features like a live app overview, AI integration (Gemini and Ollama), and automatic, beautiful color themes that match your wallpaper. Installation is simple with a one-line command, and the default keybinds are familiar if you’ve used Windows or GNOME. The system uses Quickshell for widgets (not Waybar), shows every command during setup for transparency, and offers a friendly Discord community for help. You benefit from a polished, customizable environment that’s both visually appealing and practical, with support for new users and advanced customization options.
https://github.com/end-4/dots-hyprland
This Hyprland dotfiles setup gives you a modern, easy-to-use Linux desktop with features like a live app overview, AI integration (Gemini and Ollama), and automatic, beautiful color themes that match your wallpaper. Installation is simple with a one-line command, and the default keybinds are familiar if you’ve used Windows or GNOME. The system uses Quickshell for widgets (not Waybar), shows every command during setup for transparency, and offers a friendly Discord community for help. You benefit from a polished, customizable environment that’s both visually appealing and practical, with support for new users and advanced customization options.
https://github.com/end-4/dots-hyprland
GitHub
GitHub - end-4/dots-hyprland: uhh questioning the meaning of dotfiles
uhh questioning the meaning of dotfiles. Contribute to end-4/dots-hyprland development by creating an account on GitHub.
#python
You can use an AI-powered call center solution built with Azure and OpenAI GPT to automate phone calls for tasks like insurance claims, IT support, and customer service. This system handles calls in multiple languages, streams conversations in real-time, resumes after disconnections, and stores data securely. It uses advanced AI models to understand complex information, manage sensitive data safely, and customize conversations to your needs. The solution scales easily on Azure, offers call recording, human fallback, and brand-specific voices, improving customer experience and reducing costs by automating routine calls while keeping quality and compliance high. This helps you provide 24/7 support efficiently and with personalized service.
https://github.com/microsoft/call-center-ai
You can use an AI-powered call center solution built with Azure and OpenAI GPT to automate phone calls for tasks like insurance claims, IT support, and customer service. This system handles calls in multiple languages, streams conversations in real-time, resumes after disconnections, and stores data securely. It uses advanced AI models to understand complex information, manage sensitive data safely, and customize conversations to your needs. The solution scales easily on Azure, offers call recording, human fallback, and brand-specific voices, improving customer experience and reducing costs by automating routine calls while keeping quality and compliance high. This helps you provide 24/7 support efficiently and with personalized service.
https://github.com/microsoft/call-center-ai
GitHub
GitHub - microsoft/call-center-ai: Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured…
Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number! - microsoft/call-center-ai
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#python #hackintosh #hackintosh_efi #lzhoang2601 #lzhoang2801 #macos #opencore #opencore_efi #opencoresimplify
OpCore Simplify is a tool that makes it much easier to set up OpenCore EFI for Hackintosh systems by automatically creating the right configuration for your specific hardware. It checks your hardware, adds needed patches and drivers, and builds a ready-to-use EFI folder, saving you time and reducing mistakes. This means you can start installing macOS on your PC with a solid setup, even if you are new to Hackintosh.
https://github.com/lzhoang2801/OpCore-Simplify
OpCore Simplify is a tool that makes it much easier to set up OpenCore EFI for Hackintosh systems by automatically creating the right configuration for your specific hardware. It checks your hardware, adds needed patches and drivers, and builds a ready-to-use EFI folder, saving you time and reducing mistakes. This means you can start installing macOS on your PC with a solid setup, even if you are new to Hackintosh.
https://github.com/lzhoang2801/OpCore-Simplify
GitHub
GitHub - lzhoang2801/OpCore-Simplify: A tool designed to simplify the creation of OpenCore EFI
A tool designed to simplify the creation of OpenCore EFI - lzhoang2801/OpCore-Simplify
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#go
OpenCloud is an open-source server backend written in Go that lets you securely store, access, and share files without using a database, instead saving data directly on your filesystem for simplicity and scalability. It supports user authentication via OpenID Connect with external or built-in identity providers. You can build and run it locally with simple commands, and contribute by reporting issues, adding features, or improving documentation. This setup benefits you by offering a flexible, scalable, and secure cloud solution that is easy to install, customize, and control, helping you manage your data efficiently and privately.
https://github.com/opencloud-eu/opencloud
OpenCloud is an open-source server backend written in Go that lets you securely store, access, and share files without using a database, instead saving data directly on your filesystem for simplicity and scalability. It supports user authentication via OpenID Connect with external or built-in identity providers. You can build and run it locally with simple commands, and contribute by reporting issues, adding features, or improving documentation. This setup benefits you by offering a flexible, scalable, and secure cloud solution that is easy to install, customize, and control, helping you manage your data efficiently and privately.
https://github.com/opencloud-eu/opencloud
GitHub
GitHub - opencloud-eu/opencloud: 🌤️ OpenCloud is the open source platform for file management, sharing and collaboration. Simple…
🌤️ OpenCloud is the open source platform for file management, sharing and collaboration. Simple and sovereign. - opencloud-eu/opencloud
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#python #hacktoberfest #hacktoberfest_accepted #hacktoberfest2021 #pywhatkit
PyWhatKit is a simple Python library that helps automate everyday tasks like sending WhatsApp messages, sharing images, playing YouTube videos, converting text to handwriting, and more. It works right away with no extra setup and supports the latest Python versions. With PyWhatKit, you can schedule messages, control your PC remotely, and even turn images into ASCII art. This saves time and makes it easy to handle routine jobs, making your daily workflow faster and more efficient.
https://github.com/Ankit404butfound/PyWhatKit
PyWhatKit is a simple Python library that helps automate everyday tasks like sending WhatsApp messages, sharing images, playing YouTube videos, converting text to handwriting, and more. It works right away with no extra setup and supports the latest Python versions. With PyWhatKit, you can schedule messages, control your PC remotely, and even turn images into ASCII art. This saves time and makes it easy to handle routine jobs, making your daily workflow faster and more efficient.
https://github.com/Ankit404butfound/PyWhatKit
GitHub
GitHub - Ankit404butfound/PyWhatKit: Send WhatsApp message at certain time and many other things.
Send WhatsApp message at certain time and many other things. - Ankit404butfound/PyWhatKit
#html
The Agent Development Kit (ADK) is an open-source toolkit that helps you build, test, and deploy advanced AI agents easily. It lets you create flexible, multi-agent systems using Python or Java, supports many AI models, and works with different deployment options. ADK offers a rich set of tools, built-in monitoring, and simple integration with Google services, making it easier to develop, debug, and scale your AI applications. This means you can focus on creating smart, efficient agents without worrying about complex setup or compatibility issues.
https://github.com/google/adk-docs
The Agent Development Kit (ADK) is an open-source toolkit that helps you build, test, and deploy advanced AI agents easily. It lets you create flexible, multi-agent systems using Python or Java, supports many AI models, and works with different deployment options. ADK offers a rich set of tools, built-in monitoring, and simple integration with Google services, making it easier to develop, debug, and scale your AI applications. This means you can focus on creating smart, efficient agents without worrying about complex setup or compatibility issues.
https://github.com/google/adk-docs
GitHub
GitHub - google/adk-docs: An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with…
An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-docs
#other
Email verification without sending emails streamlines how you confirm your email address online. Instead of clicking links or entering codes sent to your inbox, this new protocol lets your browser handle verification directly while you stay on the website. Your email provider verifies you're the rightful owner through existing login credentials, then sends a secure token back to the site. This eliminates delays, reduces frustration from dropped verification attempts, and protects your privacy by preventing email services from tracking which websites you're using. You get faster, smoother verification while maintaining better control over your personal information.[1][2]
https://github.com/WICG/email-verification-protocol
Email verification without sending emails streamlines how you confirm your email address online. Instead of clicking links or entering codes sent to your inbox, this new protocol lets your browser handle verification directly while you stay on the website. Your email provider verifies you're the rightful owner through existing login credentials, then sends a secure token back to the site. This eliminates delays, reduces frustration from dropped verification attempts, and protects your privacy by preventing email services from tracking which websites you're using. You get faster, smoother verification while maintaining better control over your personal information.[1][2]
https://github.com/WICG/email-verification-protocol
GitHub
GitHub - WICG/email-verification-protocol: verified autofill
verified autofill . Contribute to WICG/email-verification-protocol development by creating an account on GitHub.
#python #data_analysis #dingtalk_robot #docker #feishu_robot #hot_news #mail #mcp #mcp_server #news #ntfy #python #telegram_bot #trending_topics #wechat_robot
TrendRadar is a lightweight, easy-to-deploy tool that gathers trending topics from 11+ major platforms like Zhihu, Douyin, and Baidu in just 30 seconds. It lets you set custom keywords to filter only news you care about, eliminating information overload. The tool offers three smart notification modes—daily summaries, current rankings, or incremental alerts—and supports multiple channels including WeChat Work, Feishu, DingTalk, Telegram, and email. You can customize how trends are ranked using a personalized algorithm that weighs ranking position, frequency, and hotness. With GitHub Pages for web reports, Docker support, and AI-powered analysis through MCP protocol, TrendRadar transforms scattered platform algorithms into one unified, user-controlled news feed tailored to your interests.
https://github.com/sansan0/TrendRadar
TrendRadar is a lightweight, easy-to-deploy tool that gathers trending topics from 11+ major platforms like Zhihu, Douyin, and Baidu in just 30 seconds. It lets you set custom keywords to filter only news you care about, eliminating information overload. The tool offers three smart notification modes—daily summaries, current rankings, or incremental alerts—and supports multiple channels including WeChat Work, Feishu, DingTalk, Telegram, and email. You can customize how trends are ranked using a personalized algorithm that weighs ranking position, frequency, and hotness. With GitHub Pages for web reports, Docker support, and AI-powered analysis through MCP protocol, TrendRadar transforms scattered platform algorithms into one unified, user-controlled news feed tailored to your interests.
https://github.com/sansan0/TrendRadar
GitHub
GitHub - sansan0/TrendRadar: 🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+…
🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送,1分钟手机通知,无需...
#typescript
The Agent Development Kit Web UI (ADK Web) is a built-in developer interface that makes building and debugging AI agents easier by providing a visual, interactive environment. It works with Google’s ADK, a flexible framework for creating AI agents that can handle simple to complex tasks and work across different platforms and models. By using ADK Web, you can quickly test and develop agents locally through a chat-like interface, speeding up development and troubleshooting without complex setup. This helps you build smarter, multi-agent AI applications more efficiently and with better control over their behavior.
https://github.com/google/adk-web
The Agent Development Kit Web UI (ADK Web) is a built-in developer interface that makes building and debugging AI agents easier by providing a visual, interactive environment. It works with Google’s ADK, a flexible framework for creating AI agents that can handle simple to complex tasks and work across different platforms and models. By using ADK Web, you can quickly test and develop agents locally through a chat-like interface, speeding up development and troubleshooting without complex setup. This helps you build smarter, multi-agent AI applications more efficiently and with better control over their behavior.
https://github.com/google/adk-web
GitHub
GitHub - google/adk-web: Agent Development Kit Web (adk web) is the built-in developer UI that is integrated with Agent Development…
Agent Development Kit Web (adk web) is the built-in developer UI that is integrated with Agent Development Kit for easier agent development and debugging. - GitHub - google/adk-web: Agent Developm...
#python #ai #faiss #gpt_oss #langchain #llama_index #llm #localstorage #offline_first #ollama #privacy #python #rag #retrieval_augmented_generation #vector_database #vector_search #vectors
LEANN is a tiny, powerful vector database that lets you turn your laptop into a personal AI assistant capable of searching millions of documents using 97% less storage than traditional systems without losing accuracy. It works by storing a compact graph and computing embeddings only when needed, saving huge space and keeping your data private on your device. You can search your files, emails, browser history, chat logs, live data from platforms like Slack and Twitter, and even codebases—all locally without cloud costs. This means fast, private, and efficient AI-powered search and retrieval on your own laptop.
https://github.com/yichuan-w/LEANN
LEANN is a tiny, powerful vector database that lets you turn your laptop into a personal AI assistant capable of searching millions of documents using 97% less storage than traditional systems without losing accuracy. It works by storing a compact graph and computing embeddings only when needed, saving huge space and keeping your data private on your device. You can search your files, emails, browser history, chat logs, live data from platforms like Slack and Twitter, and even codebases—all locally without cloud costs. This means fast, private, and efficient AI-powered search and retrieval on your own laptop.
https://github.com/yichuan-w/LEANN
GitHub
GitHub - yichuan-w/LEANN: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private…
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. - yichuan-w/LEANN