🔍 Deep-diving into openai/plugins — fresh off the trending list.

🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
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The openai/plugins repository is a treasure trove of curated Codex plugin examples. Each plugin is neatly organized under its own directory, complete with a required .codex-plugin/plugin.json manifest file and optional supporting files like skills/, .app.json, and agents/.

Some of the highlighted plugins include figma for design system rules, notion for planning and knowledge capture, and build-ios-apps for SwiftUI implementation and debugging.

To get started, simply explore the various plugins, such as expo, netlify, and google-slides, and discover how they can streamline your workflow.

Whether you're a developer, designer, or researcher, this repository has something for everyone.
The openai/plugins repo is a game-changer - and the best part is, you can plug and play your way to productivity!

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🧠 Channel: https://t.me/GithubRe

🔥 MemPalace/mempalace is trending — and it deserves your attention.

🔗 https://github.com/MemPalace/mempalace
📝 The best-benchmarked open-source AI memory system. And it's free.
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Introduction to MemPalace: MemPalace is a local-first AI memory tool that stores conversation history as verbatim text and retrieves it with semantic search. It's designed to be private and secure, with no API calls or cloud dependencies.

Main Features:
- Verbatim storage of conversation history
- Semantic search for retrieving stored conversations
- Pluggable backend for flexibility
- Local-first approach for privacy and security
- CLI and Python API for easy usage

Usage Example:
```bash
mempalace mine ~/projects/myapp # mine project files
mempalace mine ~/.claude/projects/ --mode convos # mine Claude Code sessions
mempalace search "why did we switch to GraphQL" # search conversations
```

Technical Highlights:
- 96.6% retrieval recall on LongMemEval benchmark
- Pluggable backend with ChromaDB as the default
- Support for multiple languages

Audience: MemPalace is suitable for developers, researchers, and anyone looking for a private and secure way to store and retrieve conversation history.

Takeaway: MemPalace is a powerful tool for storing and retrieving conversation history, with a strong focus on privacy and security, making it an excellent choice for those who value their data.

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🧠 Channel: https://t.me/GithubRe

🔥 openclaw/openclaw-windows-node is trending — and it deserves your attention.

🔗 https://github.com/openclaw/openclaw-windows-node
📝 Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension
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The OpenClaw Windows Node is an open-source, native Windows companion suite for OpenClaw, an AI-powered personal assistant. It's designed to work seamlessly with the OpenClaw gateway, providing a system tray application, shared client libraries, and CLI utilities.

Key features include a modern Windows 11-style system tray companion with dark/light mode support, quick send functionality via global hotkey, auto-updates, and embedded web chat. The suite also offers a command center with diagnostics, channel health, usage, sessions, nodes, and copyable repair commands.

To get started, users can download the latest stable installer from the OpenClaw Windows docs or build the project using the provided build script. The project requires Windows 10 (20H2+) or Windows 11, .NET 10.0 SDK, Windows 10 SDK, and WebView2 Runtime.

The OpenClaw Windows Node is designed for users who want a seamless and integrated experience with their OpenClaw gateway. With its robust feature set and user-friendly interface, it's an ideal choice for anyone looking to enhance their productivity and streamline their workflow.

One-liner takeaway: OpenClaw Windows Node is the ultimate Windows companion for OpenClaw users, offering a powerful and intuitive system tray application that simplifies your workflow and boosts productivity!

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🧠 Channel: https://t.me/GithubRe

⚡ aquasecurity/trivy is making waves. Here's the full picture.

🔗 https://github.com/aquasecurity/trivy
📝 Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
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Trivy is a comprehensive security scanner that can detect various security issues in different targets, including container images, file systems, Git repositories, virtual machine images, and Kubernetes. It has multiple scanners that look for known vulnerabilities, configuration issues, sensitive information, and software licenses.

To use Trivy, you can install it using popular package managers like brew or download the binary from the GitHub releases page. Trivy also has a GitHub Actions integration and a Kubernetes operator.

Here's a basic example of how to use Trivy:

trivy image python:3.4-alpine

Trivy is designed for security professionals, developers, and DevOps teams who want to ensure the security and integrity of their applications and infrastructure.

One-liner takeaway: Trivy is a powerful security scanner that helps you identify and fix vulnerabilities in your applications and infrastructure, making it a must-have tool for any security-conscious team.

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🧠 Channel: https://t.me/GithubRe

🎯 HKUDS/Vibe-Trading landed on trending. Worth a proper look.

🔗 https://github.com/HKUDS/Vibe-Trading
📝 "Vibe-Trading: Your Personal Trading Agent"
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Vibe-Trading is your personal trading agent, empowering you with comprehensive trading capabilities through one command. This project features a connector-first trading layer with support for multiple brokers, including IBKR, Robinhood, and OKX. The FastAPI backend and React frontend provide a robust and user-friendly interface.

Key features include paper trading, read-only account access, and bounded autonomy with a user-committed mandate. The project is written in Python 3.11+ and is available on PyPI.

The target audience includes traders, investors, and developers interested in building custom trading strategies. To get started, simply run pip install vibe-trading-ai and explore the website and docs for more information.

With Vibe-Trading, automate your trading decisions and take your investments to the next level - trade smart, not hard.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into jwasham/coding-interview-university — fresh off the trending list.

🔗 https://github.com/jwasham/coding-interview-university
📝 A complete computer science study plan to become a software engineer.
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The Coding Interview University is a comprehensive study plan to help you become a software engineer at a top company like Amazon, Google, or Microsoft. The plan covers everything you need to know for a technical interview, from the basics of coding to advanced topics like data structures, algorithms, and system design.

Key features of the plan include a structured approach to learning, with a focus on practice and review. You'll start by choosing a programming language and then work your way through a series of topics, including Big-O notation, data structures like arrays, linked lists, and trees, and algorithms like sorting and graph traversal.

To get started, you can download the plan as a zip file or fork the GitHub repo and create a new branch to track your progress. The plan is designed to be flexible, so you can work at your own pace and focus on the areas where you need the most improvement.

From a technical perspective, the plan covers a wide range of topics, including

Java

and other programming languages, as well as concepts like recursion, dynamic programming, and design patterns. You'll also learn about testing, string searching, and networking, among other topics.

The plan is suitable for anyone who wants to become a software engineer, regardless of their background or experience level. Whether you're a complete beginner or an experienced coder looking to improve your skills, the Coding Interview University has something to offer. So why wait? Start your journey to becoming a software engineer today and remember: with dedication and hard work, you can land your dream job in no time!

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🧠 Channel: https://t.me/GithubRe

💡 github/copilot-sdk just hit the trending charts — here's why it matters.

🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The GitHub Copilot SDK is a powerful tool that allows developers to embed Copilot's agentic workflows into their applications. With SDKs available for Python, TypeScript, Go, .NET, Java, and Rust, you can define agent behavior and let Copilot handle the rest. The SDK exposes the same engine behind Copilot CLI, providing a production-tested agent runtime that can be invoked programmatically.

To get started, simply install your preferred SDK and follow the getting started guide. The SDK manages the CLI process lifecycle automatically, and you can also connect to an external CLI server.

Some key features include:

* Support for BYOK (Bring Your Own Key)
* Multi-language support
* Customizable tool availability
* Support for custom agents, skills, and tools

The GitHub Copilot SDK is generally available and follows semantic versioning. If you encounter any issues or have feature requests, you can report them on the GitHub Issues page.

In summary, the GitHub Copilot SDK is a game-changer for developers - with its ease of use, flexibility, and powerful features, you can supercharge your development workflow and take your applications to the next level!

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🧠 Channel: https://t.me/GithubRe