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

🔗 https://github.com/hexo-ai/sia
📝 SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
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SIA: Self-Improving AI is a framework that enables AI systems to autonomously improve their performance on benchmark tasks. The system operates by coordinating three main types of AI agents: Meta-Agent, Target Agent, and Feedback Agent. The Meta-Agent generates an initial Target Agent tailored to the task, while the Feedback Agent reviews the Target Agent's performance logs and updates it accordingly.

To use SIA, you can install it using pip install 'sia-agent[claude]' or pip install 'sia-agent[openhands]', then run it with sia run --task gpqa --max_gen 5 --run_id 1. You can also visualize the results with sia web.

The framework has achieved impressive results, including a 56.6% gain on LawBench, 91.9% runtime reduction on GPU kernels, and 502% improvement on single-cell RNA denoising over the baseline. SIA is suitable for developers and researchers looking to improve the performance of their AI systems.

Key takeaway: SIA is a powerful tool for autonomously improving AI system performance, and its potential applications are vast – the future of AI development just got a whole lot brighter!

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🧠 Channel: https://t.me/GithubRe

🌟 mattermost/mattermost caught my eye on GitHub Trending today.

🔗 https://github.com/mattermost/mattermost
📝 Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..
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Mattermost is an open core, self-hosted collaboration platform that offers chat, workflow automation, voice calling, screen sharing, and AI integration. The platform is written in Go and React, and runs as a single Linux binary, relying on PostgreSQL.

To get started, you can deploy Mattermost on-premises or try it for free in the cloud. The platform has a variety of use cases, including DevSecOps, Incident Resolution, and IT Service Desk.

Mattermost has native mobile and desktop apps for Android, iOS, Windows PC, macOS, and Linux. The platform also offers a range of installation guides, including Docker, Ubuntu, and Kubernetes.

The platform is suitable for developers, system administrators, and business users who want a self-hosted collaboration platform with a range of features and integrations.

Mattermost is a powerful tool for teams and organizations - join the community today and experience the benefits of self-hosted collaboration!

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: bannedbook/fanqiang — let's break it down.

🔗 https://github.com/bannedbook/fanqiang
📝 翻墙-科学上网
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Fanqiang is a comprehensive project library for scientific internet access and wall-jumping tools, providing various tutorials and software for different devices and operating systems. The project includes Chrome one-click wall-jumping package, Android wall-jumping APP tutorials, iPhone/iPad/iOS V2ray/SS wall-jumping APP tutorials, and more. It also covers Windows V2ray/SS/SSR wall-jumping tutorials, Mac翻墙软件教程, and Linux翻墙教程. The goal is to provide free and stable internet access to users.
Takeaway: Freedom to access the internet, no matter where you are.

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🧠 Channel: https://t.me/GithubRe

🔥 apple/container is trending — and it deserves your attention.

🔗 https://github.com/apple/container
📝 A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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The apple/container repo is home to a powerful tool that lets you create and run Linux containers on your Mac, essentially treating them as lightweight virtual machines. It's built with Swift and optimized for Apple silicon, allowing for seamless integration with your Mac.

Key features include consuming and producing OCI-compatible container images, which means you can pull and run images from any standard container registry, as well as push your own built images to those registries. The container tool utilizes the Containerization Swift package for low-level container management.

To get started, you'll need a Mac with Apple silicon and macOS 26 or later. You can download the latest signed installer package from the GitHub release page, then follow the installation instructions.

The project is under active development, and while it's not yet stable, it's definitely worth checking out. The documentation provides a guided tour, technical overview, and command reference, making it easy for developers to dive in.

Whether you're a seasoned developer or just starting out, the apple/container project has something to offer - so why not containerize your workflow and take your development to the next level: Run anywhere, deploy everywhere.

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🧠 Channel: https://t.me/GithubRe

🎯 addyosmani/agent-skills landed on trending. Worth a proper look.

🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The Agent Skills GitHub repository provides a set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers across various development phases. The repository includes 7 slash commands that map to the development lifecycle, allowing agents to activate the right skills automatically.

To use these skills, you can install them via various methods, including Claude Code, Cursor, Antigravity CLI, Gemini CLI, and more. The repository contains a total of 24 skills, each representing a structured workflow with steps, verification gates, and anti-rationalization tables.

The skills are categorized into Define, Plan, Build, Verify, Review, and Ship phases, covering aspects such as idea refinement, test-driven development, and performance optimization.

Overall, the Agent Skills repository provides a comprehensive set of skills to help AI agents develop software consistently and efficiently. With these skills, you can automate your development workflow and ship faster with confidence.

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🧠 Channel: https://t.me/GithubRe

🎯 maziyarpanahi/openmed landed on trending. Worth a proper look.

🔗 https://github.com/maziyarpanahi/openmed
📝 open-source healthcare ai
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Unlock the power of local-first healthcare AI with OpenMed, a revolutionary platform that turns clinical text into structured insight with just one line of code. No cloud, no vendor lock-in, and no patient data leaving your network. OpenMed boasts 1,000+ specialized medical models, supports 12 languages, and features 247 PII checkpoints for robust de-identification.

Technical highlights include a Python API for easy integration, Apple MLX acceleration for improved performance, and a Swift framework for native iOS and macOS apps. Usage is straightforward, with a simple analyze_text() function for entity extraction and PII de-identification.

Audience: OpenMed is designed for healthcare professionals, researchers, and developers seeking a secure, scalable, and customizable solution for clinical text analysis.

Takeaway: With OpenMed, you can keep patient data safe and secure while still leveraging the power of AI to improve healthcare outcomes — the future of healthcare AI is local, and it's here.

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🧠 Channel: https://t.me/GithubRe

🌟 phuryn/pm-skills caught my eye on GitHub Trending today.

🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
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The phuryn/pm-skills GitHub repository is a game-changer for product managers, offering a comprehensive AI-powered toolkit to streamline their workflow. With 68 PM skills and 42 chained workflows across 9 plugins, this marketplace provides a structured approach to product decision-making, from discovery to strategy, execution, launch, growth, and shipping AI-built code.

To get started, simply use /discover for new ideas, /strategy for strategic clarity, or /write-prd for writing a PRD. The skills are designed to be compatible with various AI assistants, including Claude Code and Cowork, and can be installed via the CLI or by copying skill folders to the respective directories.

The technical highlights include a modular architecture, with each plugin covering a specific PM domain, and skills that can be invoked using /plugin-name:skill-name or /skill-name. The repository also includes a range of examples and commands to help users get started.

Whether you're a seasoned product manager or just starting out, this toolkit is an invaluable resource. So why settle for generic AI output when you can have structure and rigor in your product decisions? Take your product management skills to the next level with phuryn/pm-skills - your one-stop-shop for better product decisions.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into NVIDIA/SkillSpector — fresh off the trending list.

🔗 https://github.com/NVIDIA/SkillSpector
📝 Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
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SkillSpector is a security scanner designed to detect vulnerabilities and malicious patterns in AI agent skills before they're installed. With multi-format input capabilities, it can scan various sources such as Git repositories, URLs, zip files, and more. The tool features a two-stage analysis process, combining fast static analysis with optional LLM semantic evaluation for more accurate results.

Key features include:

* Detection of 64 vulnerability patterns across 16 categories, including prompt injection, data exfiltration, and privilege escalation
* Live vulnerability lookups using SC4 queries to OSV.dev for real-time CVE data
* Support for multiple output formats, including terminal, JSON, Markdown, and SARIF reports
* Risk scoring with a 0-100 score and severity labels for clear recommendations

To get started, simply clone the repository, create and activate a virtual environment, and install the required dependencies using make install or make install-dev. Then, use the skillspector scan command to scan your AI agent skills and identify potential security risks.

Main audience: Developers and users of AI agent skills, particularly those working with Claude Code, Codex CLI, Gemini CLI, and other AI-powered tools.

In short, SkillSpector is a powerful tool that helps you stay one step ahead of potential security threats in your AI agent skills - scan your skills, secure your AI.

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🧠 Channel: https://t.me/GithubRe