🔍 Deep-diving into logto-io/logto — fresh off the trending list.

🔗 https://github.com/logto-io/logto
📝 🧑‍🚀 Authentication and authorization infrastructure for SaaS and AI apps, built on OIDC and OAuth 2.1 with multi-tenancy, SSO, and RBAC.
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Logto is the modern, open-source auth infrastructure for SaaS and AI apps, making it easy to build secure, production-ready auth with multi-tenancy, enterprise SSO, and RBAC. It takes the pain out of OIDC and OAuth 2.1, offering pre-built sign-in flows, customizable UIs, and SDKs for 30+ frameworks.

Key features include multi-tenancy, enterprise SSO, and RBAC, as well as full support for OIDC, OAuth 2.1, and SAML. To get started, you can pick from Logto Cloud, Launch Logto in GitPod, or local development using Docker Compose or Node.js.

curl -fsSL https://raw.githubusercontent.com/logto-io/logto/HEAD/docker-compose.yml | \
docker compose -p logto -f - up

Audience: Developers and teams scaling SaaS, AI, and agent-based platforms. With Logto, you get flexible integration, ready-to-use features, and a developer-first approach.
One-liner takeaway: Logto simplifies auth infrastructure, making it easier to build secure, production-ready apps with a few lines of code!

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🧠 Channel: https://t.iss.one/GithubRe

💡 xbtlin/ai-berkshire just hit the trending charts — here's why it matters.

🔗 https://github.com/xbtlin/ai-berkshire
📝 AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
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A Comprehensive Investment Research Framework: AI Berkshire

The ai-berkshire repository on GitHub presents a unique investment research framework that leverages AI to analyze companies and industries. This framework is designed to mimic the investment strategies of four renowned value investors: Warren Buffett, Charlie Munger, Zhang Yongping, and Li Lu.

Key Features:

* /investment-research: A comprehensive research framework that analyzes companies based on seven modules, including business quality, moat, financials, management, and more.
* /investment-team: A team-based research approach that utilizes four AI agents to analyze a company in parallel, providing a more comprehensive and nuanced view.
* /industry-research: A full-spectrum industry research framework that identifies investment opportunities across an entire industry.
* /industry-funnel: A funnel-based approach to screen and select companies within a specific industry.

Usage:

The framework can be used by installing the required AI client and skills, and then invoking the specific skills using commands. For example:

npm install -g @anthropic-ai/claude-code
git clone https://github.com/xbtlin/ai-berkshire.git
cd ai-berkshire
./scripts/install-claude-commands.sh
/investment-research 腾讯
/earnings-review 腾讯 2025Q4
/industry-funnel AI算力

Technical Highlights:

* The framework utilizes a combination of natural language processing (NLP) and machine learning algorithms to analyze companies and industries.
* It incorporates a range of data sources, including financial statements, news articles, and industry reports.
* The framework is designed to be highly customizable, allowing users to tailor their research approach to their specific needs and preferences.

Audience:

The AI Berkshire framework is suitable for a range of users, including:

* Professional investors and analysts
* Individual investors looking to conduct in-depth research
* Researchers and academics interested in investment analysis and AI applications

Punchy One-Liner Takeaway:

The AI Berkshire framework offers a powerful and flexible tool for investment research, enabling users to leverage the collective wisdom of four renowned value investors and uncover hidden gems in the market.

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🧠 Channel: https://t.iss.one/GithubRe

⚡ browser-use/video-use is making waves. Here's the full picture.

🔗 https://github.com/browser-use/video-use
📝 Edit videos with coding agents
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Introducing video-use, a revolutionary tool that allows you to edit videos using Claude Code. This 100% open source project enables you to drop raw footage into a folder, chat with Claude Code, and get a final edited video back.

The key features of video-use include:
- cutting out filler words and dead space between takes
- auto color grading every segment
- adding 30ms audio fades at every cut
- burning subtitles in your style
- generating animation overlays

To use video-use, simply paste a setup prompt into Claude Code or any other agent with shell access, and follow the instructions to install the repo, wire up ffmpeg, and register the skill.

Technical highlights include the use of two layers to give the LLM everything it needs to cut with word-boundary precision: an audio transcript and a visual composite. The pipeline involves transcribing, packing, reasoning, editing, rendering, and self-evaluation.

Audience: this project is perfect for anyone looking to edit videos without the need for presets or menus, including content creators, videographers, and social media enthusiasts.

One-liner takeaway: with video-use, you can revolutionize your video editing experience and produce high-quality videos with ease.

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🧠 Channel: https://t.iss.one/GithubRe

🔥 Unclecheng-li/VulnClaw is trending — and it deserves your attention.

🔗 https://github.com/Unclecheng-li/VulnClaw
📝 基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。
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VulnClaw is an AI-driven penetration testing CLI tool that uses natural language to describe penetration intentions and automatically identifies phases and tools. It features a target-driven solver that uses a blackboard graph state space search and evidence-level anti-illusion gate to ensure realistic conclusions.

Key features include low-coupling plugin runtime, 21 penetration skills, 13 LLM providers, and structured reasoning and adaptive reflection. The tool is suitable for authorized penetration testing, CTF competitions, security teaching, and red team drills.

To get started, you can install VulnClaw using pip install vulnclaw or clone the repository and install from source. The tool provides a CLI and a Web UI mode for easy usage.

Here's a quick start example:
```python
# Install using pip
pip install vulnclaw

# Clone the repository and install from source
git clone https://github.com/Unclecheng-li/VulnClaw.git
cd VulnClaw
pip install -e .
```
With VulnClaw, you can perform penetration testing with ease and efficiency. It's an ideal tool for security professionals and enthusiasts alike.

The takeaway: VulnClaw is revolutionizing the way we perform penetration testing, making it faster, more efficient, and more accurate.

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🧠 Channel: https://t.iss.one/GithubRe

⚡ HKUDS/Vibe-Trading is making waves. Here's the full picture.

🔗 https://github.com/HKUDS/Vibe-Trading
📝 "Vibe-Trading: Your Personal Trading Agent"
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Vibe-Trading is a comprehensive trading platform that empowers users with a personal trading agent. It offers comprehensive trading capabilities with just one command. The platform is built using Python 3.11+, FastAPI for the backend, and React 19 for the frontend.

Key features include a Shadow Account for simulating trades, live advisory safety with opt-in pre-trade reviews, and trading connectors for various brokers. The platform also provides research tools for backtesting and analyzing trading strategies.

To get started, users can install the platform using pip install vibe-trading-ai and then follow the docs for setup and usage. The platform has a Discord community for support and discussion.

The Vibe-Trading platform is designed for developers and traders who want to automate their trading strategies and analyze market data. With its robust features and user-friendly interface, it's an ideal solution for anyone looking to take their trading to the next level.

Overall, Vibe-Trading is a powerful platform that offers a wide range of features and tools for traders and developers. Its ease of use and customizability make it an ideal choice for anyone looking to automate their trading strategies.

Takeaway: With Vibe-Trading, you can automate your trading and level up your investment game.

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🧠 Channel: https://t.iss.one/GithubRe

🔥 refactoringhq/tolaria is trending — and it deserves your attention.

🔗 https://github.com/refactoringhq/tolaria
📝 Desktop app to manage markdown knowledge bases
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Tolaria is a desktop app for managing markdown knowledge bases on macOS, Windows, and Linux. It's designed for use cases like operating second brains, organizing company docs, and storing AI memory and procedures.

Key features include a files-first approach, where notes are plain markdown files, and a git-first approach, where every vault is a git repository. This ensures data portability and version history.

The app is offline-first, with no accounts or subscriptions required, and is open source. It's built with Tauri, React, and TypeScript, and has a keyboard-first design for power users.

To get started, you can install Tolaria via Homebrew on macOS or download the latest release for your platform. The app also has a getting started vault that provides a walkthrough of its features.

Technical highlights include a standards-based approach, with notes in markdown format and YAML frontmatter, and support for AI agents like Claude Code and Codex CLI.

Tolaria is suitable for anyone looking for a flexible and customizable knowledge management tool, from personal users to companies.

One-liner takeaway: Tolaria is the ultimate markdown knowledge base manager that puts you in control of your data.

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: veracrypt/VeraCrypt — let's break it down.

🔗 https://github.com/veracrypt/VeraCrypt
📝 Disk encryption with strong security based on TrueCrypt
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VeraCrypt is a free, open-source disk encryption software based on TrueCrypt 7.1a with additional security enhancements and modifications. It allows users to create encrypted containers to protect their data.

The software supports various operating systems, including Windows, Linux, Mac OS X, FreeBSD, and OpenBSD. For Windows, a detailed guide is provided in the documentation for building VeraCrypt. The 64-bit editions of Windows Vista and later require a digital signature for the VeraCrypt driver to run.

On Linux and Mac OS X, the build process requires various dependencies, including GNU Make, GNU C++ Compiler, and wxWidgets. The VeraCrypt source code contains pre-built EFI binaries, and its EFI Boot Loader is licensed under LGPL.

VeraCrypt is ideal for individuals and organizations looking for a reliable and secure way to protect their sensitive data. With its cross-platform compatibility and robust features, VeraCrypt is an excellent choice for anyone concerned about data security.

To get started with VeraCrypt, users can follow the provided build guides and instructions for their respective operating systems. The software is well-suited for users who value their privacy and want to ensure that their data remains secure.
Take control of your data security with VeraCrypt - the ultimate disk encryption solution!

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🧠 Channel: https://t.iss.one/GithubRe

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