🚀 Meet HKUDS/CLI-Anything: a gem from today's GitHub trending list.

🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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Imagine a world where AI agents can utilize any software, just like humans do. The CLI-Anything project makes this possible by creating a bridge between AI agents and the world's software. With CLI-Anything, you can make any software agent-ready, from popular applications like GIMP and Blender to custom tools and services.

Key Features:
- Browse, install, and manage community-built CLIs using the CLI-Hub
- Watch demos of AI agents using generated CLIs to produce real artifacts
- Contribute or request a CLI for your favorite software or service

Technical Highlights:
- Python 3.10+ support
- Lightweight and universal CLI interface
- Self-describing with automatic documentation

Audience:
- Developers and researchers interested in AI and automation
- Power users looking to streamline their workflows

Takeaway: With CLI-Anything, the possibilities are endless - one command line can change everything!

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🧠 Channel: https://t.me/GithubRe

💡 K-Dense-AI/scientific-agent-skills just hit the trending charts — here's why it matters.

🔗 https://github.com/K-Dense-AI/scientific-agent-skills
📝 A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
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The Scientific Agent Skills GitHub repository offers a comprehensive collection of 135 ready-to-use scientific and research skills for AI agents that support the open Agent Skills standard. This repository is created by K-Dense and works with various AI agents, including Cursor, Claude Code, Codex, and more. The skills enable AI agents to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains.

Key features include:
- 100+ scientific and financial databases for unified access
- 70+ optimized Python package skills for stronger performance
- 9 scientific integration skills for explicit definitions
- 30+ analysis and communication tools for literature review, scientific writing, and more

To get started, users can install the skills using npx skills add K-Dense-AI/scientific-agent-skills or the GitHub CLI with gh skill install K-Dense-AI/scientific-agent-skills. The skills are well-documented with examples, use cases, and best practices, making it easy for users to integrate them into their workflows.

The target audience for this repository includes researchers, scientists, and developers who want to transform their AI coding agent into an 'AI Scientist' capable of executing complex multi-step scientific workflows. With the Scientific Agent Skills repository, users can accelerate their research, save time, and achieve production-ready code.
Takeaway: Supercharge your AI agent with Scientific Agent Skills and unlock a world of limitless research possibilities!

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🧠 Channel: https://t.me/GithubRe

🌟 supertone-inc/supertonic caught my eye on GitHub Trending today.

🔗 https://github.com/supertone-inc/supertonic
📝 Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
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The Supertonic project is a lightning-fast, on-device multilingual text-to-speech system designed for local inference with minimal overhead. It's powered by ONNX Runtime and runs entirely on your device, ensuring no cloud, API calls, or privacy concerns.

Key features include blazingly fast synthesis, 31-language multilingual support, a compact 99M-parameter open-weight model, and edge-device readiness. It also offers high-quality 44.1kHz audio output, expression tags for natural human nuance, and multi-runtime SDKs for various programming languages.

To get started, you can install the Python SDK using pip install supertonic and generate speech immediately. The project also provides a local HTTP server for calling Supertonic from tools that speak HTTP.

The target audience includes developers looking for a fast, private, and compact text-to-speech solution for their applications.

With its impressive features and ease of use, Supertonic is a game-changer for on-device text-to-speech synthesis: Supertonic brings lightning-fast, private, and accurate text-to-speech to your device - no cloud required.

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🧠 Channel: https://t.me/GithubRe

⚡ ggml-org/llama.cpp is making waves. Here's the full picture.

🔗 https://github.com/ggml-org/llama.cpp
📝 LLM inference in C/C++
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The ggml-org/llama.cpp GitHub repository provides a C/C++ implementation of LLM inference with minimal setup and state-of-the-art performance on various hardware. The key features include plain C/C++ implementation, optimized performance for Apple silicon and x86 architectures, and support for multiple integer quantization bits.

To get started, you can install llama.cpp using brew, nix or winget, run with Docker, or download pre-built binaries. Once installed, you'll need a model to work with, such as LLaMA, LLaMA 2, or other supported models.

The repository also includes a list of bindings for various programming languages, such as Python, Go, Node.js, and more.

Overall, llama.cpp provides a flexible and high-performance solution for LLM inference, making it a great option for developers and researchers.
The future of AI is fast, flexible, and cpp - llama.cpp is the perfect combo.

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🧠 Channel: https://t.me/GithubRe