Github Top Repositories

⚡ TauricResearch/TradingAgents is making waves. Here's the full picture. 🔗 https://github.com/TauricResearch/TradingAgents 📝 TradingAgents: Multi-Agents LLM Financial Trading Framework ────────────────────────────── The TradingAgents framework is a cutting-edge, open-source tool for simulating real-world trading firms using multi-agent systems and large language models (LLMs). Its primary purpose is to facilitate research into the dynamics of financial markets and the development of more sophisticated trading strategies. Key features of TradingAgents include support for multiple LLM providers (e.g., OpenAI, Google, Anthropic), modular architecture for easy customization, and a user-friendly CLI for interacting with the framework. To get started with TradingAgents, users can clone the repository, install the package, and launch the interactive CLI. The framework also provides a Python API for more advanced usage. TradingAgents is designed for researchers and developers interested in exploring the applications of LLMs in financial markets. Overall, TradingAgents offers a powerful tool for simulating and analyzing complex trading scenarios, making it an exciting development for anyone interested in the intersection of finance and AI: TradingAgents is revolutionizing the way we approach financial modeling and trading strategy development. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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📌 Spotted on GitHub Trending: EveryInc/compound-engineering-plugin — let's break it down. 🔗 https://github.com/EveryInc/compound-engineering-plugin 📝 Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more ────────────────────────────── The Compound Engineering Plugin is designed to make each unit of engineering work easier than the last, inverting the traditional development process that often accumulates technical debt. This plugin provides AI skills and agents to streamline the development workflow, focusing on planning, review, and knowledge codification to ensure high-quality changes. The core features include: - /ce-brainstorm and /ce-plan for thorough planning - /ce-code-review and /ce-doc-review for catching issues - /ce-compound for codifying knowledge To get started, run /ce-setup in any project, and explore the 37 skills and 51 agents available. The plugin can be installed via various platforms, including Claude Code, Cursor, Codex, GitHub Copilot, Factory Droid, Qwen Code, OpenCode, Pi, Gemini, and Kiro, using specific installation commands. In summary, the Compound Engineering Plugin is a game-changer for developers, making each change easier than the last by compounding knowledge and streamlining the development process. Install it now and start coding smarter, not harder! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ p-e-w/heretic is making waves. Here's the full picture. 🔗 https://github.com/p-e-w/heretic 📝 Fully automatic censorship removal for language models ────────────────────────────── The Heretic GitHub repository is a cutting-edge project that enables fully automatic censorship removal for language models. This innovative tool combines advanced directional ablation, also known as "abliteration," with a TPE-based parameter optimizer powered by Optuna. The result is a decensored model that retains as much of the original model's intelligence as possible, without requiring any human effort or understanding of transformer internals. Key Features: - Automatic censorship removal - Supports most dense models, including multimodal and MoE architectures - Compatible with model quantization using bitsandbytes - Provides features for research into model internals and interpretability Usage: To get started, simply install the heretic-llm package and run the heretic command with the desired model. For example:

pip install -U heretic-llm
heretic Qwen/Qwen3-4B-Instruct-2507

Technical Highlights: - Employs PaCMAP projection for residual vector analysis - Offers options for generating plots and printing residual geometry details - Supports a variety of configuration parameters for customization Audience: Heretic is designed for anyone interested in working with language models, from researchers to developers and enthusiasts. The tool's automatic nature makes it accessible to those without extensive knowledge of transformer internals. In summary, Heretic is a powerful tool that makes it easy to remove censorship from language models, and with its cutting-edge features and ease of use, it's a game-changer for the field - decensor your models with just a few clicks! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ pbakaus/impeccable is making waves. Here's the full picture. 🔗 https://github.com/pbakaus/impeccable 📝 The design language that makes your AI harness better at design. ────────────────────────────── The Impeccable GitHub repository is a game-changer for frontend design, offering a comprehensive design skill with 7 domain-specific references and 23 commands to help you create impeccable designs. The key features include a shared design vocabulary with your AI, deterministic anti-pattern rules, and a CLI for detecting anti-patterns. To get started, you can visit impeccable.style to download ready-to-use bundles or install the skill using the CLI installer. The repository includes 23 commands such as polish, audit, and critique, which can be accessed through the single /impeccable skill. The technical highlights of Impeccable include its ability to load domain reference files on every command, a brand-vs-product register that adjusts defaults, and explicit guidance on what to avoid in design. The repository supports various tools, including Cursor, Claude Code, and Codex CLI, making it a versatile solution for designers and developers. Whether you're a beginner or an experienced designer, Impeccable is an essential tool to have in your arsenal. With its wide range of features and support for multiple tools, it's an excellent choice for anyone looking to improve their design skills. In short, Impeccable is the ultimate design companion that helps you create stunning, user-friendly interfaces with ease - design like a pro, every time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔥 D4Vinci/Scrapling is trending — and it deserves your attention. 🔗 https://github.com/D4Vinci/Scrapling 📝 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! ────────────────────────────── Scrapling is an adaptive web scraping framework that simplifies the process of extracting data from websites. Its key features include automatic element relocation when website structures change, bypassing anti-bot systems like Cloudflare Turnstile, and concurrent, multi-session crawls with pause/resume and automatic proxy rotation. To use Scrapling, you can start by creating a StealthyFetcher object and using its fetch method to retrieve a webpage. You can then use the css method to select and extract data from the webpage. For larger-scale crawls, you can create a Spider class that inherits from Scrapling's Spider base class. Scrapling is designed to be fast and efficient, with real-time stats and streaming capabilities. It's suitable for both beginners and experienced web scrapers, and its extensive documentation and active community make it easy to get started and find help when needed. Here's a simple example of how to use Scrapling:

from scrapling.fetchers import StealthyFetcher
StealthyFetcher.adaptive = True
p = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True)
products = p.css('.product', auto_save=True)

Overall, Scrapling is a powerful and flexible web scraping framework that can help you extract the data you need from the web. With its easy-to-use API and extensive features, it's an ideal choice for anyone looking to scrape the web. Scrape the web like a pro with Scrapling - one library, zero compromises! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into harry0703/MoneyPrinterTurbo — fresh off the trending list. 🔗 https://github.com/harry0703/MoneyPrinterTurbo 📝 利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM. ────────────────────────────── MoneyPrinterTurbo is an innovative project that allows users to generate high-definition videos with just a theme or keyword. This GitHub repository provides a comprehensive solution for video creation, including automatic scriptwriting, video material sourcing, subtitles, and background music. The project boasts a range of key features, such as a clear MVC architecture, support for AI-generated video scripts, and the ability to customize video size, duration, and language. It also offers a user-friendly WebUI and API interface, making it accessible to both developers and non-technical users. To get started, users can follow the quick start guide and choose from various deployment options, including one-click installation packages, Docker, or manual installation. The project supports multiple languages, including Chinese and English, and is compatible with various operating systems, including Windows, MacOS, and Linux. The technical highlights of MoneyPrinterTurbo include its ability to utilize AI models from providers like OpenAI, AIHubMix, and Google Gemini, ensuring high-quality video generation. The project is designed to be scalable and flexible, allowing users to customize and extend its functionality as needed. The target audience for MoneyPrinterTurbo includes content creators, marketers, and anyone looking to generate high-quality videos quickly and efficiently. With its robust features and user-friendly interface, this project has the potential to revolutionize the way we create and produce video content. In short, MoneyPrinterTurbo is a game-changer for video creation, and its possibilities are endless: generate a video in minutes, not hours! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet supermemoryai/supermemory: a gem from today's GitHub trending list. 🔗 https://github.com/supermemoryai/supermemory 📝 Memory engine and app that is extremely fast, scalable. The Memory API for the AI era. ────────────────────────────── Supermemory is an AI memory and context engine designed to give your AI tools a brain that remembers and learns from conversations. With state-of-the-art performance across major benchmarks, it extracts facts, builds user profiles, and delivers the right context at the right time. The key features of Supermemory include: - Memory: Automatically learns from conversations and extracts facts. - User Profiles: Maintains user context, including stable facts and recent activity. - Hybrid Search: Combines knowledge base documents and personalized context in a single query. - Connectors: Auto-syncs with Google Drive, Gmail, Notion, and other services. To use Supermemory, you can either build your own personal brain with the app or add memory to your AI products with a single API. The app allows you to give your AI persistent memory, while the API provides the entire context stack for AI agents and apps. Supermemory has drop-in wrappers for major AI frameworks and is compatible with various clients, including Claude Desktop and VS Code. It also supports hybrid search modes, user profiles, and connectors for auto-syncing external data. In terms of technical highlights, Supermemory has achieved state-of-the-art results in benchmarks such as LongMemEval, LoCoMo, and ConvoMem. The MemoryBench framework allows for standardized and reproducible benchmarks of memory providers. Overall, Supermemory is suitable for anyone looking to enhance their AI tools with a powerful memory and context engine, whether you're a developer building AI products or an individual looking to give your AI a personal brain. With Supermemory, your AI will never forget again - and that's a game-changer! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 nesquena/hermes-webui is trending — and it deserves your attention. 🔗 https://github.com/nesquena/hermes-webui 📝 Hermes WebUI: The best way to use Hermes Agent from the web or from your phone! ────────────────────────────── Hermes Web UI is a lightweight, dark-themed web app that provides a convenient interface for interacting with the Hermes Agent, a sophisticated autonomous agent that lives on your server. The web UI offers full parity with the CLI experience, allowing you to access all the features of the Hermes Agent from a browser. The web UI features a three-panel layout, with a left sidebar for sessions and navigation, a center panel for chat, and a right panel for workspace file browsing. It also includes a composer footer with model, profile, and workspace controls, as well as a circular context ring that shows token usage at a glance. The web UI is built using Python and vanilla JavaScript, with no build step, framework, or bundler required. It provides a secure and convenient way to access your Hermes Agent from anywhere, using a single command to start and a single command to SSH tunnel for access. Key features include chat and agent functionality, session management, workspace file browsing, and security features like password configuration. The web UI also supports multiple messaging platforms, including Telegram, Discord, and Slack. The target audience for the Hermes Web UI includes developers, researchers, and anyone who wants to interact with the Hermes Agent from a web interface. Overall, the Hermes Web UI provides a convenient and secure way to interact with the Hermes Agent, making it an excellent tool for anyone who wants to harness the power of autonomous agents. Takeaway: The Hermes Web UI is a game-changer for anyone who wants to interact with autonomous agents from a web interface, offering a secure, convenient, and feature-rich experience. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ microsoft/markitdown is making waves. Here's the full picture. 🔗 https://github.com/microsoft/markitdown 📝 Python tool for converting files and office documents to Markdown. ────────────────────────────── Introducing MarkItDown, a lightweight Python utility for converting various file formats to Markdown, designed for use with Large Language Models (LLMs) and text analysis pipelines. Key features include support for multiple file formats, such as PDF, PowerPoint, Word, Excel, images, audio, HTML, and more. To install MarkItDown, use pip: pip install 'markitdown[all]'. For usage, you can use the command-line interface: markitdown path-to-file.pdf > document.md or use the Python API:

from markitdown import MarkItDown
md = MarkItDown()
result = md.convert("test.xlsx")
print(result.text_content)

Technical highlights include optional dependencies for specific file formats, plugins for additional functionality, and support for Azure Content Understanding and Document Intelligence. The library is ideal for developers and data scientists working with LLMs and text analysis pipelines. In summary, MarkItDown is a powerful and flexible tool for converting files to Markdown, and its ease of use and customization options make it a great choice for anyone working with text data - give MarkItDown a try and start converting your files to Markdown today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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