⚡ datawhalechina/easy-vibe is making waves. Here's the full picture.

🔗 https://github.com/datawhalechina/easy-vibe
📝 💻 vibe coding 2026 | Your first modern Coding course for beginners to master step by step.
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The datawhalechina/easy-vibe GitHub repository is a beginner-friendly platform that teaches you how to build apps by describing what you want. It's perfect for complete beginners, product managers, students, junior developers, and mid-level and senior developers looking to upgrade their AI collaboration workflow.

Key features include a beginner-friendly learning map, step-by-step visual tutorials, immersive simulated coding, and visible AI principles. You can choose from various learning paths, such as getting a fast first win, turning an idea into a product prototype, building full-stack products end to end, or learning advanced Claude Code and agent workflows.

To get started, you can start with a simple hands-on example or learn the learning roadmap and AI IDE tools.

The repository is constantly being updated with new features and content, including Vibe Stories, real user journeys, and expanded practice updates.

Here's a sample code to get you started:

print("Hello, Easy-Vibe!")

In summary, datawhalechina/easy-vibe is your one-stop-shop for learning how to build apps with AI - and with its interactive and immersive approach, you'll be building your own apps in no time! So, why not star the repo and join the community to accelerate updates and inspire others with your own vibe coding story? Build apps by talking - the future of coding is here!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 decolua/9router is trending — and it deserves your attention.

🔗 https://github.com/decolua/9router
📝 Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.
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The 9Router is a FREE AI router and token saver designed to help developers save up to 40% of their tokens while using AI coding tools. It supports 40+ AI providers and 100+ models, including Claude Code, Codex, and OpenCode. Key features include RTK token saver, auto-fallback to free and cheap models, and quota tracking.

To use 9Router, simply install it globally using npm install -g 9router, then connect a free provider like Kiro AI or OpenCode Free through the dashboard. You can then use 9Router with your favorite CLI tools, such as Claude Code or Codex, by setting the endpoint to https://localhost:20128/v1.

The 9Router is perfect for developers who want to save money and tokens while still having access to powerful AI models. Whether you're a beginner or an experienced developer, 9Router is a must-have tool for anyone looking to maximize their coding potential.

9Router is a game-changer for developers - never stop coding with 9Router!

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📌 Spotted on GitHub Trending: tinyhumansai/openhuman — let's break it down.

🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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OpenHuman is an open-source agentic assistant designed to integrate with your daily life, providing a simple and human-centric experience. It features a clean desktop interface, auto-fetch capabilities, and 118+ third-party integrations via OAuth. The assistant has a memory tree and an Obsidian wiki to store and summarize your data, allowing it to learn and remember your context in minutes.

To get started, you can download OpenHuman from the website or run the installation script using
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash for MacOS/Linux or
irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex for Windows.

Key highlights include smart token compression, messaging channels, and a focus on privacy and security. The project is suitable for individuals looking for a personal AI assistant and developers interested in contributing to an open-source project.

The ultimate goal of OpenHuman is to provide an assistant that can learn and remember your context in minutes, making it a powerful tool for anyone looking to streamline their daily tasks.
In a nutshell, OpenHuman is your personal AI superpower - private, simple, and extremely powerful.

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: millionco/react-doctor — let's break it down.

🔗 https://github.com/millionco/react-doctor
📝 Your agent writes bad React. This catches it
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The millionco/react-doctor GitHub repository offers a diagnostic tool for React applications. Its primary purpose is to help developers identify and fix performance issues and bugs in their React code.
Key features include automatic detection of common problems and personalized recommendations for improvement.
To use react-doctor, simply install the package and run the doctor command in your project directory.
From a technical standpoint, the tool utilizes a set of predefined rules to analyze the application's code and provide meaningful insights.
The target audience includes React developers of all levels, from beginners to experienced professionals.
In short, react-doctor is a valuable resource for anyone looking to optimize their React application's performance: Debug your React apps like a pro with react-doctor!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 Lordog/dive-into-llms is trending — and it deserves your attention.

🔗 https://github.com/Lordog/dive-into-llms
📝 《动手学大模型Dive into LLMs》系列编程实践教程
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The "Dive into LLMs" GitHub repository, Lordog/dive-into-llms, offers a comprehensive programming practice guide for large language models (LLMs). The project, led by 张倬胜 from Shanghai Jiao Tong University, aims to provide a free, introductory programming reference for LLMs.

Key features include 微调与部署 (fine-tuning and deployment), 提示学习与思维链 (prompt learning and thinking chain), and 知识编辑 (knowledge editing). The repository also covers 数学推理 (mathematical reasoning), 模型水印 (model watermarking), and 越狱攻击 (jailbreak attacks).

To get started, users can explore the repository and follow the tutorials and scripts provided. The project is suitable for students, researchers, and developers looking to dive into LLMs.

Technical highlights include the use of Python and various libraries such as transformers and torch. The project also features a 国产化《大模型开发全流程》 (domestic LLM development course) in collaboration with Huawei.

The Lordog/dive-into-llms repository is a valuable resource for anyone interested in LLMs, with its comprehensive tutorials, scripts, and community-driven development.
Dive into LLMs and unlock the power of large language models - your AI journey starts here!

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🧠 Channel: https://t.iss.one/GithubRe

💡 AUTOMATIC1111/stable-diffusion-webui just hit the trending charts — here's why it matters.

🔗 https://github.com/AUTOMATIC1111/stable-diffusion-webui
📝 Stable Diffusion web UI
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The Stable Diffusion web UI is a powerful tool that allows users to interact with the Stable Diffusion model through a user-friendly web interface. This interface offers a wide range of features, including txt2img and img2img modes, outpainting, inpainting, and more. Users can also adjust parameters such as attention, sampling methods, and negative prompts to refine their results.

The UI is built using the Gradio library and supports various models, including Stable Diffusion 2.0 and Alt-Diffusion. It also includes features like batch processing, prompt editing, and a CLIP interrogator. The project is highly customizable, with options to change defaults, mix, and max values for UI elements via a text config.

To get started, users can follow the installation instructions for their specific operating system, including Windows, Linux, and Apple Silicon. The project also has a wiki with detailed documentation and a contributing guide for those who want to add code to the repository.

The Stable Diffusion web UI is perfect for artists, researchers, and anyone interested in exploring the capabilities of text-to-image models. With its intuitive interface and extensive features, it's an essential tool for anyone looking to push the boundaries of AI-generated art.
One-liner takeaway: The Stable Diffusion web UI is a game-changer for text-to-image generation, offering a user-friendly interface and a vast array of features to unlock your creativity.

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: rasbt/LLMs-from-scratch — let's break it down.

🔗 https://github.com/rasbt/LLMs-from-scratch
📝 Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Check out the rasbt/LLMs-from-scratch GitHub repo, the official code repository for the book "Build a Large Language Model (From Scratch)". This repo provides a step-by-step guide to developing, pretraining, and finetuning a GPT-like Large Language Model (LLM) from scratch.

The repo includes code examples and exercises for each chapter, allowing you to practice and learn by coding. You can download the repository using git clone --depth 1 https://github.com/rasbt/LLMs-from-scratch.git or click the "Download ZIP" button.

Key features include:
- Implementing a GPT model from scratch
- Pretraining on unlabeled data
- Finetuning for text classification and instruction following
- Using PyTorch to implement the code

This repo is perfect for developers and researchers looking to build and understand LLMs.
The prerequisites include a strong foundation in Python programming and some experience with deep neural networks.

You can run the code on your laptop, and it will automatically utilize GPUs if available.

Build a Large Language Model from scratch and become a master of LLMs - the possibilities are endless!

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🚀 Meet NousResearch/hermes-agent: a gem from today's GitHub trending list.

🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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Hermes Agent is a self-improving AI agent that creates skills from experience, improves them during use, and builds a deepening model of the user across sessions. It can run on various platforms, including a $5 VPS, GPU cluster, or serverless infrastructure. Key features include a real terminal interface, cross-platform conversation continuity, a closed learning loop, scheduled automations, and delegates and parallelizes tasks. hermes model allows switching between different models and providers, such as Nous Portal, OpenRouter, and Hugging Face, without code changes. The agent can be used via Telegram, Discord, Slack, WhatsApp, Signal, or the command-line interface.

To get started, users can run the curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash command for Linux, macOS, WSL2, or Termux, or use the PowerShell script for Windows. After installation, users can start chatting with the agent using hermes, configure tools with hermes tools, or set individual config values with hermes config set.

The target audience includes researchers, developers, and individuals interested in AI and self-improving systems. With its extensive documentation and contributing guide, Hermes Agent is an open and collaborative project.

In a nutshell, Hermes Agent is a cutting-edge AI tool that learns and adapts to its user, making it an exciting project to explore and contribute to - the future of AI is here, and it's conversational.

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet rohitg00/agentmemory: a gem from today's GitHub trending list.

🔗 https://github.com/rohitg00/agentmemory
📝 #1 Persistent memory for AI coding agents based on real-world benchmarks
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The agentmemory GitHub repository provides a persistent memory solution for AI coding agents, allowing them to recall previous conversations and maintain context. This means you won't have to re-explain things to your agent every time you interact with it. Key features include automatic capture of agent interactions, searchable memory, and integration with multiple agents via MCP or REST API.

To get started, simply run npx @agentmemory/agentmemory and follow the prompts. The repository includes benchmarks demonstrating the effectiveness of agentmemory, including a 95.2% retrieval accuracy and 92% fewer tokens required for context.

Technical highlights of the project include its use of iii-engine and SQLite for data storage, as well as its zero external dependencies. The project is suitable for developers and users of AI coding agents, particularly those who work with multiple agents or need to maintain complex conversations.

One command, npx @agentmemory/agentmemory, and your agent will never forget again.

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🧠 Channel: https://t.iss.one/GithubRe

OCRmyPDF – this is an open-source tool for adding a text layer to scanned PDF files

It uses the powerful optical character recognition engine Tesseract and allows converting images or scanned documents into fully functional PDFs with the ability to search, copy, and select text

This is particularly useful for working with archival documents, scanned copies of contracts, books, or any other PDFs that are initially just images

Languages: Python (97.7%), Shell (2.1%), Dockerfile (0.2%).

⭐️ 33,1 thousand stars

https://github.com/ocrmypdf/OCRmyPDF

https://t.iss.one/GithubRe

🔍 Deep-diving into tinyhumansai/openhuman — fresh off the trending list.

🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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OpenHuman is your personal AI superintelligence, designed to integrate with your daily life in a private, simple, and powerful way. With a clean desktop experience and short onboarding paths, you can get started in just a few clicks - no config-first setup or terminal required.

Key features include 118+ third-party integrations with one-click OAuth, a local-first knowledge base built from your data and activity, and a memory tree that compresses everything into Markdown files stored intelligently in an Obsidian-compatible vault.

To get started, you can either download from the website or run the installation script using curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash for MacOS/Linux or irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex for Windows.

Technical highlights include smart token compression, model routing, and native voice capabilities. This project is ideal for individuals looking for a powerful and private AI assistant.

In short, OpenHuman is a game-changer - it's like having your own personal AI assistant that learns and adapts to your habits in minutes, not weeks.

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🧠 Channel: https://t.iss.one/GithubRe