#typescript

This repository offers many practical JavaScript/TypeScript examples for learning AI development, requiring Node.js and Bun runtimes. It includes ready-to-run demos like conversation summarization, web search integration, memory management, and API interactions with services like OpenAI, Langfuse, and Qdrant. You can run these examples locally or via Docker for easy setup. The code covers advanced AI topics such as token counting, prompt engineering, vector databases, and audio/video processing. Using Bun, a fast and TypeScript-friendly runtime compatible with Node.js, enhances performance and development speed. This setup helps you quickly experiment with AI features and build your own AI-powered apps efficiently.

https://github.com/i-am-alice/3rd-devs

#typescript #agent #browser_use #computer_use #electron #gui_agents #mcp #mcp_server #vision #vite #vlm

Agent TARS is a powerful tool that helps automate tasks using AI. It integrates with many tools and can handle complex tasks like web scraping and data analysis. This makes it easier to manage workflows and reduces errors. Users can automate tasks in just a few steps, making it very efficient. Agent TARS also supports advanced browser operations and has a user-friendly desktop app, which makes it easy to use for anyone. Overall, it helps users save time and work more efficiently.

https://github.com/bytedance/UI-TARS-desktop

#python

Torchtitan is a PyTorch-native platform designed for easy and large-scale training of generative AI models like Llama 3.1. It supports advanced distributed training techniques such as multi-dimensional parallelism, activation checkpointing, and Float8 precision, enabling efficient use of many GPUs. Torchtitan is modular and cleanly coded, making it easy to extend and customize for different AI research and development needs. It also integrates with PyTorch’s latest features like torch.compile for faster training. This platform helps you rapidly experiment and scale AI model training with minimal code changes, boosting productivity and innovation in generative AI development[1][3][4][5].

https://github.com/pytorch/torchtitan

#python #llm #qwen #tts #wechat

WeClone is a tool that helps create a digital clone of you using your WeChat chat logs. It fine-tunes a large language model to mimic your way of speaking, including your tone and humor. This clone can be used as a chatbot on platforms like WeChat, QQ, and Telegram. The benefit is that you can have a personalized digital avatar that feels like you, making interactions more natural and fun. It also ensures data privacy by filtering out sensitive information and allowing local deployment.

https://github.com/xming521/WeClone

#other

独立开发变现周刊每周分享独立开发者如何通过小产品实现收入的真实案例，涵盖AI工具、SaaS、插件等多种类型，展示从几千到百万美元的月收入故事。它不仅提供成功经验和技术细节，还开设变现训练营，帮助你学习产品开发、市场定位和盈利策略。此外，周刊构建了活跃社区，方便开发者交流合作，分享资源和反馈。通过这些内容和支持，你能获得实用指导和灵感，更有效地打造和变现自己的产品，实现持续盈利。

https://github.com/ljinkai/weekly

#csharp #dotnet #monorepo

The .NET Virtual Monolithic Repository (VMR) is a special place where all the code needed to build the .NET SDK is kept together. This makes it easier for developers to build and test .NET because everything is in one place. The VMR is like a mirror of other .NET repositories, so changes in those repositories are copied here. This helps simplify the process of building .NET and makes it easier for others to contribute and use the code. It also helps make the build process more transparent and reproducible for the community.

https://github.com/dotnet/dotnet

#python #pywxdump #wechat #wx #wxdump #wxexport

PyWxDump is a Python tool that helps you get detailed WeChat account info like nicknames, phone numbers, emails, and keys, decrypt WeChat databases, and view or export chat histories as HTML or CSV files. It supports remote chat viewing over a network and combines multiple databases for easy access. You can back up chats, analyze data, and even use a web interface for convenience. This tool is useful for network security, daily backups, and managing WeChat data efficiently. It’s open-source, mainly for Windows, and includes tutorials and FAQs to help you use it safely and legally[1][2][3].

https://github.com/xaoyaoo/PyWxDump

#python

This library helps you test and compare language models by running standard benchmarks like math, reading, coding, and general knowledge tasks. It uses simple, clear instructions to measure how well models perform without complicated prompts, reflecting real-world use better. You can evaluate many models, including OpenAI’s and others, to see their strengths and weaknesses on tasks like problem-solving and factual accuracy. This transparency helps you pick the best model for your needs and understand their capabilities. The library supports easy setup and running of tests via APIs, making it practical for developers and researchers to assess model quality quickly and reliably.

https://github.com/openai/simple-evals

#python #agents #knowledge_graph #llm #llm_agent #rag #search #search_agent #vector_database

Airweave is a tool that helps make information from apps and databases easily accessible to AI agents. It connects over 100 data sources with minimal coding, allowing for fast data synchronization and semantic search. This means you can quickly turn app data into useful knowledge for AI agents, making them smarter and more efficient. It's especially helpful for tasks like customer support or generating reports, as it ensures AI agents have the most accurate and up-to-date information.

https://github.com/airweave-ai/airweave

#roff

This project provides free access to Chinese textbooks, including math books from elementary to university levels. It helps people, especially overseas Chinese, access these resources easily. The project aims to promote equal education opportunities and reduce regional disparities. Users can download these textbooks for free, which is beneficial for those who cannot afford or access them otherwise. If files are split due to size limits, a tool is provided to merge them back together.

https://github.com/TapXWorld/ChinaTextbook

#python

fairchem is a centralized open-source library by FAIR Chemistry that provides advanced machine learning models, datasets, demos, and tools for materials science and quantum chemistry. You can install it via pip and use pretrained models through the FAIRChemCalculator with ASE, enabling tasks like catalysis, inorganic materials, molecules, MOFs, and molecular crystals. It supports simulations such as structure relaxation and molecular dynamics. Version 2 is a major update and not compatible with version 1 models. Using fairchem helps you quickly apply state-of-the-art AI models to accelerate research and discovery in chemistry and materials science[1][2][4][5].

https://github.com/facebookresearch/fairchem

#python #bilibili #bilibili_api #manga #tickets

biliTickerBuy is a free, open-source tool that helps you easily buy items on Bilibili’s member shop. You can quickly download and install it from the official releases page, and there’s a clear user guide available. If you have questions or find bugs, you can ask for help or report issues directly on the project’s page. The tool is supported by a community of contributors, and you can see how popular it is by checking its star history. Using biliTickerBuy makes shopping on Bilibili simpler and more convenient, and you can support the project with donations if you like it.

https://github.com/mikumifa/biliTickerBuy

#python

This tool helps you easily download PDF textbooks from the National Primary and Secondary School Smart Education Platform by extracting the book URLs and saving the files automatically with correct names. Since February 2025, the platform requires login, so you must set an Access Token (login credential) in the tool to download books. It supports batch downloads, shows progress, works on Windows, Linux, and macOS, and saves your token securely on your device. This makes getting and managing digital textbooks much faster and more convenient for study or teaching.

https://github.com/happycola233/tchMaterial-parser

#python #agent #ai_agent #apple #computer_use #cua #lume #macos #manus #operator #swift #virtualization #virtualization_framework

The information provided doesn't directly relate to Discord bots or their benefits. However, if we consider the broader context of automation and AI tools like those mentioned in the text, these technologies can enhance user experiences by automating tasks and providing interactive features. For example, AI agents can control virtual environments, which might be useful in various applications, including gaming or educational settings. This kind of automation can save time and increase efficiency, similar to how Discord bots automate tasks and engage communities[1][2].

https://github.com/trycua/cua

#php #calendar #contacts #crm #crm_platform #crm_system #customer_portal #customer_support #customizable #documents #email_marketing #kanban #leads #open_source #php #platform #sales_automation #single_page_application #support

EspoCRM is a free, open-source CRM tool that helps you manage customer relationships by organizing leads, contacts, sales, marketing, and support in one easy-to-use web app. It has a clean interface, customizable features, and a REST API for integration, making it flexible for startups, small businesses, and developers. It automates repetitive tasks, saving time and reducing errors, while providing detailed reports to improve decision-making. Being open-source, it’s cost-effective with no licensing fees, and supported by a helpful community. This means you get a powerful, adaptable CRM that boosts productivity and customer management without high costs[1][3][5].

https://github.com/espocrm/espocrm

#go #bugtracker #decentralized_application #distributed_systems #git #gitdb

git-bug is a powerful, decentralized issue tracker that stores issues, comments, and users directly inside a Git repository as versioned objects, not just files. This means you can manage your issues offline, sync them later, and keep everything clean and organized within your existing Git workflow. It’s very fast, supports syncing with platforms like GitHub and GitLab, and offers multiple ways to interact, including command line, text user interface, or web browser. This tool helps you track and manage project issues efficiently without needing a separate server or database, making collaboration and version control seamless.

https://github.com/git-bug/git-bug

#go #compression #decompression #deflate #go #golang #gzip #snappy #zip #zstandard #zstd

The "github.com/klauspost/compress" package offers many fast and efficient compression tools in pure Go, including zstandard, S2 (a faster Snappy replacement), optimized deflate for gzip/zip/zlib, and snappy with better compression and concurrency. It also provides entropy encoders (huff0, FSE), HTTP gzip handlers, and a parallel gzip implementation (pgzip). These tools are drop-in replacements for Go's standard libraries but run about twice as fast, saving time and resources. You can easily add it to your project with `go get`. It supports current and recent Go versions and offers options to disable unsafe code or assembly for compatibility. This package benefits you by improving compression speed and efficiency while maintaining compatibility with standard Go compression APIs, making your applications faster and more resource-friendly.

https://github.com/klauspost/compress

#python #ai #ai_art #art #asset_generator #chatbot #deep_learning #desktop_app #image_generation #mistral #multimodal #privacy #pygame #pyside6 #python #self_hosted #speech_to_text #stable_diffusion #text_to_image #text_to_speech #text_to_speech_app

AI Runner is a tool that lets you use AI on your own computer without needing the internet. It can do many things like **voice chatbots**, **text-to-image** generation, and **image editing**. You can also make AI personalities for more interesting conversations. It runs fast and securely, keeping your data private. To use AI Runner, you need a good computer with a strong GPU, like an NVIDIA RTX 3060 or better. This helps keep your data safe and makes AI tasks faster.

https://github.com/Capsize-Games/airunner

#shell

To install or update Podkop, you need to run a script. This is a beta version, so things might change often. When updating, make sure to clear your browser cache and check your settings because they might have changed. You need at least 15MB of free space on your router. If you have Getdomains installed, you should remove it. This setup helps manage your router's configuration and can improve how your network works. Always provide technical feedback if you encounter problems.

https://github.com/itdoginfo/podkop

#jupyter_notebook

Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience.

https://github.com/ed-donner/llm_engineering