🔍 Deep-diving into diegosouzapw/OmniRoute — fresh off the trending list.

🔗 https://github.com/diegosouzapw/OmniRoute
📝 Never stop coding. Free AI gateway: one endpoint, 231+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline & Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA.
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Imagine a world where you can access 236 AI providers through one endpoint, never hitting limits or breaking the bank. OmniRoute makes this a reality, offering ~1.6B free tokens/month and the ability to save up to 95% tokens with RTK + Caveman compression.

This production-grade solution supports 16+ coding agents, including Claude Code, Codex, and Copilot, and features 17 routing strategies, circuit breakers, and TLS stealth. With $0 to start and 50+ providers with a free tier, OmniRoute is perfect for developers who want to build without limits.

Join the community today and experience the power of OmniRoute for yourself. One endpoint, endless possibilities: OmniRoute is the ultimate game-changer for AI development.

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🧠 Channel: https://xn--r1a.website/GithubRe

🔥 allenai/olmocr is trending — and it deserves your attention.

🔗 https://github.com/allenai/olmocr
📝 Toolkit for linearizing PDFs for LLM datasets/training
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The allenai/olmocr GitHub repository provides a toolkit for converting PDFs and image-based documents into clean, readable plain text format. This toolkit supports various features such as converting PDF, PNG, and JPEG documents into Markdown, handling equations, tables, handwriting, and complex formatting, and automatically removing headers and footers.

The olmOCR toolkit is efficient, with a cost of less than $200 USD per million pages converted, and it requires a GPU for operation. The toolkit has a benchmark suite that covers over 7,000 test cases across 1,400 documents to measure the performance of OCR systems.

To install the toolkit, you can use pip install with various options, including gpu for local GPU inference, beaker for Beaker cluster execution, and bench for running the benchmark suite.

The toolkit can be used to convert single or multiple PDFs, and it supports remote inference servers. You can view the results as Markdown files inside the workspace folder.

The olmOCR toolkit is suitable for developers, researchers, and anyone looking to convert large volumes of documents into readable text format.

Here's a simple usage example:

olmocr ./localworkspace --markdown --pdfs olmocr-sample.pdf

In summary, allenai/olmocr is a powerful toolkit for document conversion, and its efficiency and features make it an ideal choice for large-scale document processing - Convert your documents in a snap with olmOCR!

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🧠 Channel: https://xn--r1a.website/GithubRe

🔍 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 an open-source auth infrastructure designed for SaaS and AI apps, simplifying OIDC and OAuth 2.1 implementation. It offers multi-tenancy, enterprise SSO, and RBAC out-of-the-box, along with pre-built sign-in flows, customizable UIs, and SDKs for over 30 frameworks.

Key features include:
- Full support for OIDC, OAuth 2.1, and SAML
- Pre-built sign-in flows and customizable UIs
- SDKs for 30+ frameworks

To get started, you can use Logto Cloud for a fully managed experience, launch it in GitPod for a quick start, or opt for local development using Docker Compose or Node.js.

Logto is perfect for developers and teams looking to simplify authentication without the usual headaches. With its flexible integration options and industry-standard protocols, it's suitable for a wide range of applications, from SPAs and web apps to mobile apps, APIs, and M2M services.

One-liner takeaway: Logto revolutionizes authentication by providing a modern, open-source auth infrastructure that's easy to use and scales with your SaaS or AI app.

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🧠 Channel: https://xn--r1a.website/GithubRe

🚀 Meet togatoga/karukan: a gem from today's GitHub trending list.

🔗 https://github.com/togatoga/karukan
📝 Japanese Input Method System for Linux, macOS, Neural Kana-Kanji Conversion Engine
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Karukan is a Japanese input system for Linux and macOS, featuring a neural kana-kanji conversion engine. The system consists of several components, including karukan-fcitx5 for Linux, karukan-macos for macOS, karukan-im for shared IME engine, karukan-engine for core library, and karukan-cli for CLI tools and server.

Key features include ニューラルかな漢字変換 (neural kana-kanji conversion) using GPT-2 based models, live conversion, context-aware conversion, and conversion learning. The system also supports システム辞書 (system dictionary) construction from SudachiDict data and 候補リライター (candidate relighter) for generating related candidates.

To get started, users can refer to the installation instructions for Linux (fcitx5) and macOS. The project is licensed under MIT OR Apache-2.0.

The code is well-organized, with each component having its own repository. For example, the

karukan-engine

directory contains the core library for neural kana-kanji conversion.

Karukan is perfect for users looking for a highly customizable and efficient Japanese input system - it's time to type in Japanese like never before!

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🧠 Channel: https://xn--r1a.website/GithubRe

🔥 Mebus/cupp is trending — and it deserves your attention.

🔗 https://github.com/Mebus/cupp
📝 Common User Passwords Profiler (CUPP)
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The CUPP tool, or Common User Passwords Profiler, is a password profiling tool designed to help users create stronger passwords and to assist in legal penetration tests and forensic crime investigations. It works by asking interactive questions to create a profile of the user's password, which can then be used to generate a list of possible passwords.

The key features of CUPP include:
- Interactive questions for user password profiling
- Using existing dictionaries to generate possible passwords
- Downloading huge wordlists from the repository
- Parsing default usernames and passwords from the Alecto DB

To use CUPP, you need to have Python 3 installed. You can start by running python3 cupp.py -h to see the available options.

From a technical standpoint, CUPP is a Python-based tool that uses a configuration file called cupp.cfg to store its settings.

The target audience for CUPP includes security professionals and law enforcement agencies who need to perform password profiling and penetration testing.

In short, CUPP is a powerful tool for creating stronger passwords and assisting in cybersecurity investigations - and with it, you can crack the code to making your passwords unbreakable!

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ Unclecheng-li/VulnClaw is making waves. Here's the full picture.

🔗 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 the intent of the test, automatically identifying phases and tools. The tool's primary features include:

* 目标驱动求解引擎 (Target-driven solver engine): This engine drives the testing process, using a "黑板图 + OODA 求解循环" (Blackboard + OODA loop) to search for the target, ensuring that the testing process is goal-oriented and doesn't get stuck in an infinite loop.
* 证据级反幻觉闸门 (Evidence-based anti-illusion gate): This feature ensures that any claims of flag discovery must be supported by actual output from the tools used, preventing false victories.
* 自然语言驱动 (Natural language-driven): Users can describe their testing intent using natural language, making it easier to use the tool.
* 13 个 LLM Provider (13 LLM providers): The tool supports multiple language models, including OpenAI, MiniMax, and DeepSeek, among others.
* MCP 工具链 (MCP toolchain): The tool uses the Model Context Protocol (MCP) to integrate with various tools and services.

To use VulnClaw, users can follow these steps:

1. Install the tool using pip or by cloning the repository and installing from source.
2. Configure the tool by setting the LLM provider, API key, and other options.
3. Use the tool in one of three ways:
* vulnclaw: The default CLI/REPL interaction mode.
* vulnclaw tui: The TUI (Terminal User Interface) mode, which provides a graphical interface for configuring and running tests.
* vulnclaw repl: The classic REPL mode, which provides a command-line interface for interacting with the tool.

The tool is suitable for authorized penetration testing, CTF competitions, security teaching, and red team exercises.

In summary, VulnClaw is a powerful AI-driven penetration testing tool that uses natural language to describe the intent of the test and provides a range of features to support the testing process. With its flexible configuration options and multiple interaction modes, VulnClaw is an excellent choice for security professionals and researchers looking to streamline their testing workflows.

Punchy one-liner takeaway: VulnClaw revolutionizes penetration testing by harnessing the power of AI and natural language to streamline the testing process, making it an indispensable tool for security professionals.

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🧠 Channel: https://xn--r1a.website/GithubRe

🚀 Meet microsoft/AI-For-Beginners: a gem from today's GitHub trending list.

🔗 https://github.com/microsoft/AI-For-Beginners
📝 12 Weeks, 24 Lessons, AI for All!
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The AI For Beginners curriculum on GitHub is a 12-week, 24-lesson course designed to introduce beginners to the world of Artificial Intelligence (AI). This beginner-friendly curriculum covers tools like TensorFlow and PyTorch, as well as ethics in AI. With multi-language support for over 50 languages, it's accessible to a broad audience. The course includes practical lessons, quizzes, and labs, and is suitable for anyone looking to get started with AI. Whether you're a student or a professional, this curriculum provides a comprehensive introduction to AI concepts, including Neural Networks and Deep Learning. To get started, you can clone the repository locally or use the Binder badge to launch the course in a Jupyter notebook. So, dive in and start learning AI today - the future is waiting, and it's written in code!

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ refactoringhq/tolaria is making waves. Here's the full picture.

🔗 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. It's designed for use cases like personal knowledge, company docs, and AI assistant memory. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app.

Key features include:
- markdown files with YAML frontmatter
- git repository for version history
- keyboard-first design for power users
- Support for AI agents like Claude Code and Codex CLI

To get started, you can install Tolaria via Homebrew or download the latest release. The app is open source and built with Tauri, React, and TypeScript.

One-liner takeaway: Tolaria is a flexible, open-source knowledge base app that helps you manage your notes and data, while keeping you in control.

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🧠 Channel: https://xn--r1a.website/GithubRe

🎯 ogulcancelik/herdr landed on trending. Worth a proper look.

🔗 https://github.com/ogulcancelik/herdr
📝 agent multiplexer that lives in your terminal.
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Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal, providing a unified view of their state. With herdr, you can see which agents are blocked, working, or done at a glance, and organize them into workspaces, tabs, and panes. The tool is designed to be lightweight, with a single ~10MB Rust binary, and can run on Linux, macOS, and Windows.

One of the key features of herdr is its ability to provide a real terminal view for each agent, allowing full-screen TUIs to render correctly. The tool also supports mouse-native interactions, making it easy to click, drag, and split panes into workspaces and tabs.

To get started with herdr, you can install it using a simple curl command, and then run it using the herdr command. The tool comes with a range of customization options, including support for plugins and a local socket API that allows agents to drive the tool programmatically.

Herdr is designed for developers who work with multiple coding agents and want a unified view of their state. The tool is highly customizable, with support for custom integrations and a range of configuration options.

Overall, herdr is a powerful tool for anyone who works with multiple coding agents and wants a simple, intuitive way to manage them. With its lightweight design, real terminal views, and mouse-native interactions, herdr is an essential tool for any developer looking to streamline their workflow.

The punchy one-liner takeaway? Herdr is the ultimate terminal multiplexer for coding agents, providing a unified view of their state and a simple, intuitive way to manage them.

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🧠 Channel: https://xn--r1a.website/GithubRe

💡 0xNyk/council-of-high-intelligence just hit the trending charts — here's why it matters.

🔗 https://github.com/0xNyk/council-of-high-intelligence
📝 18 AI personas deliberate your hardest decisions across multiple LLM providers. Aristotle, Feynman, Kahneman, Torvalds & more — structured multi-round deliberation with genuine model diversity. One command: /council
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The Council of High Intelligence is a unique project that leverages 18 AI personas to provide diverse perspectives on complex decisions. By utilizing multiple LLM providers, including Claude, OpenAI, and Gemini, the council ensures genuine model diversity and reduces the risk of groupthink. Key features include three deliberation modes (full, quick, and duo), pre-defined triads for specific domains, and auto-routing across different providers.

To get started, simply clone the repository and run the installation script. Then, use commands like /council Should we open-source our agent framework? to initiate deliberation. The council's technical highlights include its ability to detect installed LLM providers and distribute members across them for diverse reasoning.

This project is ideal for individuals and teams seeking to make informed decisions by considering multiple viewpoints. In essence, the Council of High Intelligence is a powerful tool that helps you make better decisions by providing a board of advisors rather than a single, potentially biased, perspective. Convene your council today and experience the power of diverse thinking!

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🧠 Channel: https://xn--r1a.website/GithubRe