💡 diegosouzapw/OmniRoute just hit the trending charts — here's why it matters.

🔗 https://github.com/diegosouzapw/OmniRoute
📝 Never stop coding. Free MIT AI gateway: one endpoint, 268+ providers (50+ free), 500+ models — Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributors
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OmniRoute is a game-changing tool that simplifies the process of working with multiple AI providers. Its main purpose is to provide a unified endpoint for accessing over 250 AI providers, including 90+ free tiers. This means you can use various AI tools like Claude Code, Codex, and Cursor through a single configuration.

With OmniRoute, you can save up to 95% of tokens thanks to its RTK and Caveman compression features. It also offers auto-fallback across providers, ensuring that you never hit rate limits and can keep working without interruptions. The tool is production-grade, with features like circuit breakers, TLS stealth, and memory guardrails.

OmniRoute is designed for developers and teams who want to streamline their AI workflow and reduce costs. Its technical highlights include support for 18 routing strategies, a simple and intuitive dashboard, and a large community of users and contributors.

In short, OmniRoute is a powerful tool that helps you maximize your AI potential while minimizing costs and complexities - never stop coding with OmniRoute!

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into shiyu-coder/Kronos — fresh off the trending list.

🔗 https://github.com/shiyu-coder/Kronos
📝 Kronos: A Foundation Model for the Language of Financial Markets
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Kronos is the first open-source foundation model specifically designed for the "language" of financial markets, trained on data from over 45 global exchanges. It's a decoder-only model that leverages a novel two-stage framework: a specialized tokenizer quantizes continuous, multi-dimensional K-line data into hierarchical discrete tokens, and a large, autoregressive Transformer is then pre-trained on these tokens.

The model is unique in its ability to handle the high-noise characteristics of financial data, making it a unified model for diverse quantitative tasks. You can access a live demo to visualize Kronos's forecasting results for the BTC/USDT trading pair.

To get started, you can install the dependencies with pip install -r requirements.txt and load a pre-trained Kronos model and its corresponding tokenizer from the Hugging Face Hub. The model is suitable for quantitative analysts, data scientists, and developers interested in financial forecasting.

Here's a simple example of how to use the `KronosPredictor` class:

from model import Kronos, KronosTokenizer, KronosPredictor
tokenizer = KronosTokenizer.from_pretrained("NeoQuasar/Kronos-Tokenizer-base")
model = Kronos.from_pretrained("NeoQuasar/Kronos-small")
predictor = KronosPredictor(model, tokenizer, max_context=512)

Kronos is a powerful tool for anyone looking to make more accurate financial forecasts - forecast your future with Kronos.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 ComposioHQ/awesome-claude-skills landed on trending. Worth a proper look.

🔗 https://github.com/ComposioHQ/awesome-claude-skills
📝 A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
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The Claude Skills repository is a treasure trove of production-ready skills and plugins designed to enhance productivity across various use cases on Claude.ai, Claude Code, and other coding agents. With 1000+ skills available, developers can tap into a wide range of functionalities, from document processing and development tools to data analysis and business solutions.

To get started, users can install the connect-apps plugin and run the setup to connect Claude to 500+ apps. The repository also provides a quickstart guide and a comprehensive list of skills, including document processing, development and code tools, data and analysis, and more.

The skills are designed to be progressively loaded, allowing agents to host hundreds of skills without bloating their context window. The repository is open-source and Apache-2.0 licensed, making it easy for developers to contribute and build upon the existing skills.

Whether you're a developer looking to automate tasks, a business user seeking to streamline workflows, or a researcher aiming to analyze data, the Claude Skills repository has something for everyone.

One-liner takeaway: Unlock the full potential of Claude with 1000+ production-ready skills and take your productivity to the next level!

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🧠 Channel: https://t.iss.one/GithubRe

🌟 oblien/openship caught my eye on GitHub Trending today.

🔗 https://github.com/oblien/openship
📝 Self-hosted deployment platform
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Openship is an open-source, self-hostable deployment platform with built-in CI/CD. It allows you to push code, ship containers, and manage infrastructure from a desktop app, web dashboard, or CLI.

The platform is designed for both solo developers and teams, providing features like built-in CI/CD, any stack support, full backend management, domains and SSL management, CDN, mail server, backups, and real-time monitoring.

To get started, you can choose from three interfaces: a desktop app for a full GUI experience, a web dashboard for team collaboration, or a CLI for scripting and automation.

Here's a quick start example using the CLI:

curl -fsSL https://get.openship.io | sh
openship

Openship is production-ready and actively developed, with a growing community of contributors. Whether you're a solo dev or a large team, Openship streamlines your deployment process, making it easy to focus on what matters – building great software.
With Openship, you can ship code, not configs.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 agegr/pi-web landed on trending. Worth a proper look.

🔗 https://github.com/agegr/pi-web
📝 Web UI for the pi coding agent
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Pi Web is a local web UI for the pi coding agent, allowing you to browse sessions, chat in real-time, manage models and skills, and preview project files from a browser workspace.

Key features include browsing previous conversations by project, trying different directions safely, working across branches, and configuring models from the web UI.

To get started, simply run npx @agegr/pi-web@latest or install globally with npm install -g @agegr/pi-web and then run pi-web.

The project is built with a modular structure, including API handlers, components, and libraries for HTTP dispatch, session management, and file access.

Pi Web is perfect for developers who want to streamline their workflow and have a more visual interface for their pi coding agent.

Get coding with Pi Web - your new favorite pi coding companion!

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🧠 Channel: https://t.iss.one/GithubRe

⚡ rohitg00/ai-engineering-from-scratch is making waves. Here's the full picture.

🔗 https://github.com/rohitg00/ai-engineering-from-scratch
📝 Learn it. Build it. Ship it for others.
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The AI Engineering from Scratch curriculum is a comprehensive, 20-phase program designed to bridge the gap between AI usage and professional preparation. With 503 lessons and ~320 hours of content, it covers a wide range of topics from math foundations to autonomous systems, using languages like Python, TypeScript, Rust, and Julia. Each lesson follows a consistent structure, where you derive the math, write the code, run the test, and keep the resulting artifact, which can be a prompt, skill, agent, or MCP server. The curriculum is suitable for anyone who can write code and wants to understand how AI actually works. To get started, you can read lessons online, clone and run the code, or use the built-in agent skills to find your level and track progress. By the end, you'll have a portfolio of 503 reusable tools and a deep understanding of AI engineering. Build it, use it, ship it - that's the motto, and with this curriculum, you'll be well on your way to becoming an AI engineering expert, with the power to create reusable tools that you actually understand because you built them.

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🧠 Channel: https://t.iss.one/GithubRe