Github Top Repositories

⚡ revfactory/harness is making waves. Here's the full picture. 🔗 https://github.com/revfactory/harness 📝 A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. ────────────────────────────── Harness is a team-architecture factory for Claude Code, designed to simplify complex tasks by decomposing them into coordinated teams of specialized agents. With harness, you can generate agent teams and skills tailored to your domain by simply saying "build a harness for this project". Key features include agent team design with six pre-defined architectural patterns, skill generation with progressive disclosure, orchestration for inter-agent data passing and error handling, and validation for trigger verification and testing. To get started, you can install harness via the marketplace or by direct installation as a global skill. The plugin structure includes a plugin.json manifest, SKILL.md definition, and references for agent design patterns, orchestrator templates, and skill writing guides. Harness is part of the Claude Code ecosystem, sitting at the L3 Meta-Factory layer, and can be used in conjunction with other plugins like Archon for deterministic runtime configurations or meta-harness for Codex runtime. With harness, you can create custom agent teams for various domains, such as deep research, website development, or webtoon production. The output includes generated agent definition files and skills, which can be integrated and orchestrated for effective task management. One-liner takeaway: Harness simplifies complex tasks by generating custom agent teams and skills, making it a powerful tool for Claude Code users to streamline their workflow and improve productivity. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into TauricResearch/TradingAgents — fresh off the trending list. 🔗 https://github.com/TauricResearch/TradingAgents 📝 TradingAgents: Multi-Agents LLM Financial Trading Framework ────────────────────────────── The TradingAgents GitHub repository offers a multi-agent trading framework for simulating real-world trading firms. This framework utilizes LangGraph and supports various LLM providers, including OpenAI, Google, Anthropic, and more. Key features include: - A modular design for flexibility and customization - Support for multiple LLM providers and models - Distributed debate among agents for informed trading decisions - Integration with various data sources for market insights To use TradingAgents, simply clone the repository, install the required dependencies, and launch the interactive CLI. The framework is designed for research purposes and provides a comprehensive platform for testing and evaluating trading strategies. It's perfect for data scientists, researchers, and traders looking to leverage AI in their trading decisions. Technical highlights include: - Multi-provider LLM support - Customizable configuration options - Integration with Docker for easy deployment In summary, TradingAgents is a powerful tool for simulating and optimizing trading strategies using AI and machine learning. With its modular design, support for multiple LLM providers, and customizable configuration options, it's an ideal choice for anyone looking to revolutionize their trading approach. One-liner takeaway: Unlock the full potential of AI-powered trading with TradingAgents. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ EveryInc/compound-engineering-plugin is making waves. Here's the full picture. 🔗 https://github.com/EveryInc/compound-engineering-plugin 📝 Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more ────────────────────────────── The Compound Engineering Plugin is a game-changer for software development. Its philosophy is to make each unit of engineering work easier than the last, inverting the traditional approach that accumulates technical debt. This plugin provides a set of AI skills and agents that assist in planning, review, and execution, ensuring that knowledge is codified and reusable. Key features include: * /ce-brainstorm for interactive Q&A to think through a feature or problem * /ce-plan to turn feature ideas into detailed implementation plans * /ce-code-review for multi-agent code review before merging * /ce-compound to document learnings and make future work easier To get started, simply install the plugin and run /ce-setup in your project. The plugin currently ships with 37 skills and 51 agents, and is available for various platforms, including Claude Code, Cursor, Codex, and more. With the Compound Engineering Plugin, you can compound your knowledge and expertise, making each subsequent unit of work easier and more efficient. As the plugin's philosophy states, "a good brainstorm makes the plan sharper, a good plan makes execution smaller, and a good review catches the pattern, not just the bug." The takeaway: Work smarter, not harder, with the Compound Engineering Plugin. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 p-e-w/heretic landed on trending. Worth a proper look. 🔗 https://github.com/p-e-w/heretic 📝 Fully automatic censorship removal for language models ────────────────────────────── Heretic is a tool that automatically removes censorship from transformer-based language models. It uses a combination of directional ablation and a TPE-based parameter optimizer powered by Optuna. The approach enables Heretic to work completely automatically, finding high-quality abliteration parameters to produce a decensored model that retains the original model's intelligence. Key Features: - Supports most dense models, including multimodal models and MoE architectures - Automatically decensors models without requiring configuration or understanding of transformer internals - Provides features for research into model interpretability, including generating plots of residual vectors and printing residual geometry details Usage: To use Heretic, prepare a Python 3.10+ environment with PyTorch 2.2+ installed, then run pip install -U heretic-llm and heretic [model_name] to decensor a model. Technical Highlights: - Combines advanced directional ablation with TPE-based parameter optimization - Co-minimizes the number of refusals and KL divergence from the original model - Supports model quantization with bitsandbytes to reduce VRAM requirements Audience: - Researchers and developers working with language models - Users looking to decensor language models without requiring extensive technical knowledge Takeaway: With Heretic, you can automatically decensor language models and unlock their full potential, all without needing to be an expert in transformer internals. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into pbakaus/impeccable — fresh off the trending list. 🔗 https://github.com/pbakaus/impeccable 📝 The design language that makes your AI harness better at design. ────────────────────────────── The Impeccable project is a curated design skill that elevates your frontend design game with 7 domain-specific references and 23 commands. It helps you avoid common design pitfalls by including 27 deterministic anti-pattern rules. The impeccable skill can be used through a CLI installer, or by downloading from the website, and is compatible with a range of tools such as Cursor, Claude Code, and Codex CLI. Key features include polish, audit, critique, and distill commands, as well as a standalone CLI for detecting anti-patterns. The project is designed for developers, designers, and anyone looking to improve their design skills. To get started, simply run

npx impeccable skills install

and access the commands through /impeccable. With Impeccable, you can design like you mean it. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 D4Vinci/Scrapling landed on trending. Worth a proper look. 🔗 https://github.com/D4Vinci/Scrapling 📝 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! ────────────────────────────── The Scrapling framework is designed for effortless web scraping, handling everything from single requests to full-scale crawls. Its key features include adaptive parsing, which learns from website changes, and fetchers that bypass anti-bot systems like Cloudflare Turnstile. The framework also includes a spider framework for scaling up to concurrent, multi-session crawls with pause/resume and automatic proxy rotation. To use Scrapling, you can start with a simple Fetcher or StealthyFetcher to fetch a website, and then use css selectors to scrape data. For larger crawls, you can define a Spider class and use the start method to begin the crawl. Some technical highlights of Scrapling include its use of real-time stats and streaming for fast crawls, as well as its support for proxy rotation and anti-bot bypass. The framework is designed for web scrapers and regular users alike, with a simple and intuitive API. Scrapling is suitable for a wide range of users, from beginner web scrapers to experienced developers. Whether you're looking to scrape a single website or build a large-scale web crawling application, Scrapling has the tools and features you need. Here's an 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)

In short, Scrapling is the ultimate web scraping framework - scrape the web, effortlessly. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet harry0703/MoneyPrinterTurbo: a gem from today's GitHub 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 a fascinating tool that generates high-definition videos with just a theme or keyword. This project offers a range of features, including AI-generated video scripts, batch video generation, and customizable subtitles. The tool supports various video sizes, languages, and voice synthesis options. The project is built with a clear MVC architecture, making it easy to maintain and extend. It also provides a Web interface and API for easy access. To get started, users can deploy the project using Docker or manually install the required dependencies. The project also supports various LLM providers, including OpenAI and AIHubMix. MoneyPrinterTurbo is suitable for developers, content creators, and anyone interested in AI-generated video content. One-liner takeaway: MoneyPrinterTurbo is a powerful tool that simplifies video content creation with AI-powered automation. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ supermemoryai/supermemory is making waves. Here's the full picture. 🔗 https://github.com/supermemoryai/supermemory 📝 Memory engine and app that is extremely fast, scalable. The Memory API for the AI era. ────────────────────────────── Introducing Supermemory, the revolutionary memory and context engine for AI, designed to transform the way your AI tools learn, remember, and interact with you. This cutting-edge technology allows your AI to remember conversations, extract facts, and build user profiles, all while handling knowledge updates and contradictions with ease. With Supermemory, you can enjoy a seamless experience, whether you're using AI tools or building your own AI products. The platform offers a single API for developers to integrate memory, RAG, user profiles, and connectors into their agents and apps, making it easy to get started. Some of the key features of Supermemory include: * Memory: Extracts facts from conversations and handles temporal changes, contradictions, and automatic forgetting * User Profiles: Auto-maintained user context, including stable facts and recent activity * Hybrid Search: Combines RAG and memory in a single query for a more comprehensive search experience * Connectors: Real-time sync with Google Drive, Gmail, Notion, and other platforms To get started with Supermemory, you can use the Supermemory App, browser extension, or plugins, which provide a consumer-facing experience and allow you to give your AI persistent memory. For developers, the platform offers a range of framework integrations, including Vercel AI SDK, LangChain, and Mastra, making it easy to integrate Supermemory into your existing workflow. Don't just take our word for it - Supermemory is state of the art across all major AI memory benchmarks, including LongMemEval, LoCoMo, and ConvoMem. With its powerful features, ease of use, and exceptional performance, Supermemory is the perfect solution for anyone looking to take their AI to the next level. Give your AI the gift of memory and discover a whole new world of possibilities - your AI will thank you! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ nesquena/hermes-webui is making waves. Here's the full picture. 🔗 https://github.com/nesquena/hermes-webui 📝 Hermes WebUI: The best way to use Hermes Agent from the web or from your phone! ────────────────────────────── The Hermes Web UI is a lightweight, dark-themed web app interface for the Hermes Agent, providing a convenient way to interact with the agent from a browser. It offers 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. The interface includes features such as a composer footer with model, profile, and workspace controls, a circular context ring to show token usage, and a Hermes Control Center for settings and session tools. Key features of the Hermes Web UI include full parity with the CLI experience, allowing users to perform all actions from the web interface, as well as streaming responses via SSE for real-time updates. The web UI also supports multi-provider model and allows users to edit past messages and retry or cancel tasks. The Hermes Web UI is designed for users who want a convenient and user-friendly interface for interacting with the Hermes Agent, while still providing the full functionality of the CLI experience. It is ideal for developers, researchers, and anyone who wants to leverage the power of the Hermes Agent from a web browser. The technical highlights of the Hermes Web UI include its implementation in vanilla JavaScript and Python, with no additional frameworks or bundlers required. The web UI is also designed to be self-hosted, allowing users to run it on their own servers and maintain control over their data. Overall, the Hermes Web UI provides a powerful and convenient interface for interacting with the Hermes Agent, making it an ideal choice for anyone looking to leverage the capabilities of this advanced autonomous agent. The takeaway: Hermes Web UI brings the power of the Hermes Agent to your browser, with a user-friendly interface and full parity with the CLI experience. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 microsoft/markitdown just hit the trending charts — here's why it matters. 🔗 https://github.com/microsoft/markitdown 📝 Python tool for converting files and office documents to Markdown. ────────────────────────────── Introduction to MarkItDown: MarkItDown is a lightweight Python utility for converting various files to Markdown, designed for use with Large Language Models (LLMs) and text analysis pipelines. It supports conversion from multiple file formats, including PDF, PowerPoint, Word, Excel, images, audio, and more. Key Features: MarkItDown preserves important document structure and content as Markdown, including headings, lists, tables, links, etc. It also supports optional dependencies for activating various file formats and has a plugin architecture for extensibility. Usage examples: - Command-line: markitdown path-to-file.pdf > document.md - Python API: from markitdown import MarkItDown; md = MarkItDown(); result = md.convert("test.xlsx"); print(result.text_content) Technical Highlights: MarkItDown uses Markdown as its output format, which is close to plain text and provides a way to represent important document structure. It also supports Large Language Models for image descriptions and has integrations with Azure Document Intelligence and Azure Content Understanding for higher-quality conversions. Audience: MarkItDown is designed for developers and data scientists working with LLMs and text analysis pipelines, particularly those who need to convert various file formats to Markdown for analysis or processing. In summary, MarkItDown is a powerful tool for converting files to Markdown, with a wide range of supported formats and a flexible plugin architecture - it's a game-changer for anyone working with Large Language Models and text analysis pipelines. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into codecrafters-io/build-your-own-x — fresh off the trending list. 🔗 https://github.com/codecrafters-io/build-your-own-x 📝 Master programming by recreating your favorite technologies from scratch. ────────────────────────────── The codecrafters-io/build-your-own-x GitHub repository is a treasure trove of tutorials and guides for building various technologies from scratch. The repository's purpose is to provide a hands-on learning experience, following the philosophy of Richard Feynman: "What I cannot create, I do not understand." Key features of the repository include a wide range of projects, from building a 3D Renderer to creating a Blockchain / Cryptocurrency, Bot, Database, and much more. The projects are implemented in various programming languages, including C++, Java, Python, and JavaScript. To use the repository, simply navigate to the project of your choice and follow the provided tutorial or guide. The technical highlights of the repository include the use of various programming languages and technologies, such as OpenGL for 3D rendering, Node.js for building a CLI tool, and Rust for building a Blockchain. The repository is suitable for developers of all levels, from beginners to experienced programmers. Whether you're looking to learn a new programming language or technology, or simply want to challenge yourself by building something from scratch, this repository has something for everyone. In short, the codecrafters-io/build-your-own-x repository is an excellent resource for anyone looking to learn by doing, and its projects and tutorials are sure to provide a fun and rewarding learning experience. So, what are you waiting for? Get building, and remember: "The best way to learn is by doing!" ────────────────────────────── 🧠 Channel: https://t.me/GithubRe