Github Top Repositories

🔍 Deep-diving into microsoft/ai-agents-for-beginners — fresh off the trending list. 🔗 https://github.com/microsoft/ai-agents-for-beginners 📝 12 Lessons to Get Started Building AI Agents ────────────────────────────── AI Agents for Beginners is a comprehensive course that teaches everything you need to know to start building AI Agents. The course covers the fundamentals of building AI Agents, with lessons on topics such as intro to AI agents, AI agentic frameworks, and designing trustworthy AI agents. The course includes multi-language support for over 50 languages, making it accessible to a wide range of learners. You can access the course materials, including Python code samples, by forking the repo or cloning it locally using git. The course utilizes Microsoft Agent Framework and Azure AI Foundry Agent Service V2, with some code samples also supporting alternative OpenAI-compatible providers. To get started, simply navigate to the lesson that interests you the most, and follow the instructions in the README file. You can also join the Microsoft Foundry Discord channel to meet other learners, get your questions answered, and stay up-to-date with the latest developments in AI agents. This course is perfect for beginners and experienced learners alike, with a focus on hands-on learning and practical applications. So why wait? Dive in and start building your own AI agents today - with this course, you'll be well on your way to creating intelligent agents that can interact with the world in complex and fascinating ways! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 frappe/erpnext landed on trending. Worth a proper look. 🔗 https://github.com/frappe/erpnext 📝 Free and Open Source Enterprise Resource Planning (ERP) ────────────────────────────── ERPNext is an open-source enterprise resource planning (ERP) system that aims to simplify business operations. It includes a wide range of features such as Accounting, Inventory, Manufacturing, CRM, Sales, Purchase, Project Management, and HRMS. To get started, you can use the easy install script for bench, which sets up all dependencies, including MariaDB. ERPNext is built on the Frappe Framework, a full-stack web app framework in Python and JavaScript. The system is licensed under the GNU General Public License (v3) and has a large community of contributors. If you're interested in contributing, you can check out the Issue Guidelines and Pull Request Requirements. The ERPNext community is diverse, ranging from small businesses to large enterprises. Whether you're a developer, a business owner, or an IT professional, ERPNext has something to offer. With its modular design and flexible architecture, it's an ideal solution for organizations looking to streamline their operations. ERPNext is free, open-source, and community-driven, making it an attractive alternative to proprietary ERP systems. So, what are you waiting for? Join the ERPNext community today and discover a simpler way to manage your business - it's ERP, made simple! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 pascalorg/editor landed on trending. Worth a proper look. 🔗 https://github.com/pascalorg/editor 📝 Create and share 3D architectural projects. ────────────────────────────── The pascalorg/editor is a 3D building editor built with React Three Fiber and WebGPU. It's designed as a Turborepo monorepo with three main packages: editor-v2, core, and viewer. The core package handles scene state management, systems, and schema definitions, while the viewer package focuses on 3D rendering. The editor-v2 package extends the viewer with interactive tools and editing capabilities. Key features include a node-based data structure, a scene registry for fast lookup, and a variety of systems for geometry generation and updates. The editor also includes tools for selection, wall drawing, zone creation, and item placement. The tech stack is based on React 19, Next.js 16, Three.js, and React Three Fiber, with Zustand for state management and Zod for schema validation. To get started, run bun dev from the root directory to enable hot reload for all packages. You can build packages using turbo build and publish them to npm. The project is suitable for developers interested in 3D modeling, architecture, and interactive web applications. With its modular design and robust tech stack, the pascalorg/editor is a great starting point for building complex 3D editing tools. In short, the pascalorg/editor is a powerful 3D building editor that's built to inspire creation. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 Alishahryar1/free-claude-code is trending — and it deserves your attention. 🔗 https://github.com/Alishahryar1/free-claude-code 📝 Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported) ────────────────────────────── Free Claude Code is an open-source proxy for Claude Code that allows you to use your own models or third-party providers instead of the default Anthropic API. The proxy supports ten provider backends, including NVIDIA NIM, Kimi, and Wafer, and provides per-model routing for different model tiers. To get started, install the latest version of Claude Code and install the required runtime dependencies, including Python 3.14 and uv. Then, install the proxy using uv and start the proxy server using the fcc-server command. The proxy provides a native Claude Code model picker through its /v1/models endpoint and supports streaming, tool use, and local request optimizations. You can also use the proxy with optional Discord or Telegram bot wrappers for remote coding sessions or with the VS Code extension for a seamless integration experience. Key features include: * Drop-in proxy for Claude Code's Anthropic API calls * Ten provider backends with per-model routing * Native Claude Code model picker support * Streaming, tool use, and local request optimizations * Optional Discord or Telegram bot wrappers * Optional VS Code extension The proxy is suitable for developers and power users who want to customize their Claude Code experience and use their own models or third-party providers. In short, Free Claude Code gives you the freedom to choose your own models and providers, making it a powerful tool for anyone looking to customize their coding experience. Take control of your coding experience with Free Claude Code! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 Diolinux/PhotoGIMP just hit the trending charts — here's why it matters. 🔗 https://github.com/Diolinux/PhotoGIMP 📝 A Patch for GIMP 3+ for Photoshop Users ────────────────────────────── PhotoGIMP transforms GIMP into a layout familiar to Adobe Photoshop users. It offers a Photoshop-like tool layout, custom splash screen, maximized canvas space, Photoshop keyboard shortcuts, and a custom icon & name. To use it, simply download and install the latest release, overwriting GIMP's configuration files. The patch is suitable for users of GIMP 3.0 and newer, and it does not delete custom brushes, fonts, or plug-ins. You can customize shortcuts after installation via Edit → Keyboard Shortcuts. Installation steps vary for Linux, Windows, and macOS, but generally involve downloading the release, extracting it, and overwriting config files. The patch replaces or adds several files in GIMP's configuration directory, including shortcutsrc, toolrc, and sessionrc. Troubleshooting tips are available for common issues, such as PhotoGIMP not changing GIMP's layout or errors when opening GIMP. In short, PhotoGIMP is a must-have for Photoshop users switching to GIMP — it makes the transition seamless, and you'll be editing like a pro in no time! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 humanlayer/12-factor-agents is trending — and it deserves your attention. 🔗 https://github.com/humanlayer/12-factor-agents 📝 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? ────────────────────────────── The 12-factor-agents GitHub repository provides a set of principles for building reliable and scalable LLM-powered applications. The project, inspired by the 12 Factor Apps methodology, aims to help developers create more maintainable and efficient software. Purpose: The main goal of 12-factor-agents is to establish a set of guidelines for developing LLM-powered applications that are production-ready and can be easily maintained. Some key features of the project include: - A set of 12 factors that provide guidance on building reliable LLM-powered software - A brief history of software development and how it led to the creation of the 12-factor-agents project - Examples and illustrations to help explain complex concepts Usage of the project involves following the 12 factors, which cover topics such as: - Factor 1: Natural Language to Tool Calls - Factor 2: Own your prompts - Factor 3: Own your context window - And many more From a technical standpoint, the project highlights the importance of: - Using a stateless reducer to manage the application's state - Implementing a loop that consists of LLM determination, deterministic code execution, and context window updates - Utilizing a DAG (Directed Acyclic Graph) to represent the application's workflow The target audience for the project includes: - Developers interested in building LLM-powered applications - Software engineers looking to create more maintainable and efficient software - Anyone interested in learning about the 12-factor-agents principles and how to apply them In conclusion, the 12-factor-agents project provides a comprehensive set of guidelines for building reliable and scalable LLM-powered applications. By following the 12 factors and understanding the technical concepts behind the project, developers can create more maintainable and efficient software. The ultimate takeaway is: build software that is designed to thrive in a world where LLMs are getting exponentially more powerful. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ multica-ai/andrej-karpathy-skills is making waves. Here's the full picture. 🔗 https://github.com/multica-ai/andrej-karpathy-skills 📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. ────────────────────────────── The multica-ai/andrej-karpathy-skills GitHub repository provides a set of guidelines to improve the behavior of Claude Code, a coding agent. Inspired by Andrej Karpathy's observations on the pitfalls of Large Language Models (LLMs) in coding, these guidelines aim to address issues such as wrong assumptions, overcomplication, and lack of clarity. The guidelines are based on four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. The guidelines can be installed as a Claude Code plugin or added to a project's CLAUDE.md file. They provide a framework for LLMs to loop until they meet specific goals, reducing the need for constant clarification. The guidelines are designed to be merged with project-specific instructions and can be customized to fit the needs of a particular project. For example, to install the guidelines as a Claude Code plugin, you can use the following commands:

/plugin marketplace add forrestchang/andrej-karpathy-skills
/plugin install andrej-karpathy-skills@karpathy-skills

These guidelines are working if you see fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clean, minimal PRs. Overall, the multica-ai/andrej-karpathy-skills repository provides a valuable resource for improving the behavior of coding agents and reducing costly mistakes. Give your LLMs success criteria and watch them go - it's that simple! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 colbymchenry/codegraph just hit the trending charts — here's why it matters. 🔗 https://github.com/colbymchenry/codegraph 📝 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local ────────────────────────────── CodeGraph is a game-changer for developers, supercharging tools like Claude Code, Cursor, Codex, and OpenCode with semantic code intelligence. This powerful tool provides a pre-indexed knowledge graph, enabling agents to query instantly instead of scanning files. With CodeGraph, you can enjoy 94% fewer tool calls and 77% faster exploration. To get started, simply run npx @colbymchenry/codegraph and follow the interactive installer. Initialize your projects with codegraph init -i, and you're ready to roll. Some key features of CodeGraph include smart context building, full-text search, impact analysis, and framework-aware routes. It supports 19+ languages and is 100% local, ensuring your data never leaves your machine. CodeGraph is perfect for developers looking to boost their productivity and streamline their workflow. So why wait? Try CodeGraph today and experience the power of semantic code intelligence - your code, supercharged! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 msitarzewski/agency-agents is trending — and it deserves your attention. 🔗 https://github.com/msitarzewski/agency-agents 📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. ────────────────────────────── Introducing The Agency: a collection of AI agent personalities, each with unique expertise and deliverables. From engineering to design and sales, these agents can transform your workflow. Key features include: - Specialized deep expertise - Personality-Driven communication styles - Deliverable-Focused outcomes - Production-Ready workflows Usage options: - Integrate with Claude Code or other tools like GitHub Copilot or Antigravity - Use as a reference for best practices - Browse the agent roster and copy/adapt what you need Technical highlights include: - Multi-tool integrations - Production-ready workflows - Success metrics for evaluation This repository is perfect for developers, designers, and sales teams looking to augment their workflows with AI-powered agents. In a nutshell: The Agency is your ultimate AI team, ready to deliver - never sleep, never complain, always deliver! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ rtk-ai/rtk is making waves. Here's the full picture. 🔗 https://github.com/rtk-ai/rtk 📝 CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies ────────────────────────────── Introducing rtk-ai/rtk, a high-performance CLI proxy that reduces LLM token consumption by 60-90%. This single Rust binary supports over 100 commands and has an overhead of less than 10ms. Key features include smart filtering, grouping, truncation, and deduplication, which are applied per command type to minimize token usage. To get started, users can install rtk using Homebrew, a quick install script, Cargo, or pre-built binaries. The installation process is straightforward, and the rtk --version command can be used to verify the installation. Technical highlights of rtk include its ability to filter and compress command outputs before they reach the LLM context. This is achieved through a hook-based system that rewrites Bash commands to their rtk equivalents before execution. The result is a significant reduction in token consumption, making it an ideal solution for developers, data scientists, and anyone working with large language models. Audience for rtk includes anyone looking to optimize their LLM workflow and reduce token consumption. Whether you're working with Claude Code, Copilot, or other AI tools, rtk can help you achieve your goals. In summary, rtk-ai/rtk is a powerful tool for reducing LLM token consumption, and its ease of use, flexibility, and high-performance capabilities make it a must-have for anyone working with large language models: rtk your way to token savings today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

https://t.me/mira?start=ref_148350890 ،The best, almost free, and officially verified AI agent on Telegram

📌 Spotted on GitHub Trending: CloakHQ/CloakBrowser — let's break it down. 🔗 https://github.com/CloakHQ/CloakBrowser 📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed. ────────────────────────────── Meet CloakBrowser, a stealthy Chromium browser that passes every bot detection test. It's not a patched config or JS injection, but a real Chromium binary with fingerprints modified at the C++ source level. Antibot systems score it as a normal browser — because it is a normal browser. Key features include humanize=True for human-like mouse curves, keyboard timing, and scroll patterns, and auto-updating binary with background update checks. It's also free and open source, with no subscriptions or usage limits. Usage is simple: just pip install cloakbrowser or npm install cloakbrowser, and you're ready to go. The launch() function starts the browser, and you can use the standard Playwright or Puppeteer API. Technical highlights include 49 source-level C++ patches, covering canvas, WebGL, audio, and more. The binary is verified with SHA-256 checksums to ensure integrity. CloakBrowser is perfect for data scientists, web scrapers, and automation teams who need to bypass bot detection. With its ease of use and powerful features, it's a game-changer for anyone who needs to interact with websites programmatically. One-liner takeaway: CloakBrowser makes bot detection disappear, so you can focus on what matters — getting the data you need. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe