🚀 Meet kenn-io/agentsview: a gem from today's GitHub trending list.

🔗 https://github.com/kenn-io/agentsview
📝 Local-first session intelligence and analytics for coding agents, supporting Claude Code, Codex, and more than 20 other agents. Also: 100x faster replacement for ccusage!
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Agentsview is a self-hosted, open-source tool for tracking and analyzing AI coding agent sessions. It allows you to browse, search, and track costs across all your agents in one place. The project provides a single binary with no account requirements, and all data is stored locally.

To get started, you can install agentsview using a simple installation script or by downloading the desktop app from GitHub Releases. The project also supports Docker for easy deployment and provides a docker-compose example for production environments.

Once installed, agentsview can be used to track token usage and costs for each agent, with features like automatic pricing, prompt-caching-aware cost calculation, and per-model breakdowns. The tool also provides a web UI for browsing and searching sessions, with features like full-text search, token usage and cost dashboards, and analytics heatmaps.

Agentsview supports a wide range of coding agents, including Claude Code, Codex, Copilot CLI, and many more. The project is designed for developers and teams who want to track and optimize their AI coding workflows.

In summary, agentsview is a powerful tool for tracking and analyzing AI coding agent sessions, and its local, self-hosted design makes it a great choice for teams and individuals who value data privacy and security. So, take control of your AI coding workflow with agentsview - one agent to rule them all.

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🧠 Channel: https://t.me/GithubRe

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

🔗 https://github.com/LMCache/LMCache
📝 LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
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The LMCache library is designed to optimize the performance of large language models (LLMs) by caching frequently accessed data. The key features of LMCache include shared prefix KV caching and support for multiple vLLM instances. To get started, you can install the library using pip install -e . and then follow the quickstart guide, which includes pulling docker images, starting the vLLM engine, and running demo applications. The library is particularly useful for applications that require fast response times and low latency. The target audience for LMCache includes developers and researchers working with LLMs, especially those who need to optimize model performance and reduce response delays. With LMCache, you can drastically reduce the time it takes to respond to user queries. In short, LMCache helps you speed up your LLMs - and that's a huge deal for anyone working with large language models!

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🧠 Channel: https://t.me/GithubRe

⚡ microsoft/PowerToys is making waves. Here's the full picture.

🔗 https://github.com/microsoft/PowerToys
📝 Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows
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The Microsoft PowerToys GitHub repository is a collection of utilities designed to help users customize and streamline their Windows experience. With over 30 utilities included, such as Advanced Paste, Always on Top, and Color Picker, users can optimize their workflow and productivity. To get started, users can install PowerToys via exe file from GitHub, Microsoft Store, or WinGet. The project welcomes contributions of all types, from coding features to documentation and bug fixes. The team is committed to building a set of tools that help users get the most out of Windows, with a strong focus on community involvement and feedback. The project's roadmap includes new features and improvements, such as a brand-new Shortcut Guide experience. With its active community and ongoing development, PowerToys is an exciting project that can help users take their Windows experience to the next level. Get ready to supercharge your Windows experience with PowerToys!

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🧠 Channel: https://t.me/GithubRe

⚡ andrewyng/aisuite is making waves. Here's the full picture.

🔗 https://github.com/andrewyng/aisuite
📝 Simple, unified interface to multiple Generative AI providers
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Introduction to aisuite: The aisuite GitHub repository, created by andrewyng, is a lightweight Python library designed for building applications with Large Language Models (LLMs). It provides a unified interface for interacting with multiple LLM providers, including OpenAI, Anthropic, and Google, allowing developers to easily switch between them.

Key Features:
- Chat Completions API: A unified interface for interacting with LLMs, supporting various providers and models.
- Agents API: A toolkit for building agents that can perform tasks using LLMs, with features like tool calling, max turns, and MCP tools.
- OpenCoworker: A desktop AI coworker application built using aisuite, capable of performing tasks like chat, research, and file management.

Usage:
- Install the aisuite library using pip: pip install aisuite
- Use the Chat Completions API to interact with LLMs:

import aisuite as ai
client = ai.Client()
response = client.chat.completions.create(
    model="openai:gpt-4o",
    messages=[{"role": "user", "content": "Hello, how are you?"}],
    temperature=0.75
)
print(response.choices[0].message.content)

Technical Highlights:
- aisuite supports multiple LLM providers and models, making it easy to switch between them.
- The Agents API provides a flexible way to build agents that can perform complex tasks using LLMs.
- aisuite has a small codebase and is easy to extend, with a modular architecture that allows for easy addition of new providers and features.

Audience:
- aisuite is designed for developers who want to build applications using LLMs, but don't want to deal with the complexity of interacting with multiple providers.
- It's also suitable for researchers who want to experiment with LLMs and need a flexible and easy-to-use interface.

Takeaway: With aisuite, you can build powerful AI applications using Large Language Models, without getting bogged down in the details of provider-specific APIs – it's a game-changer for AI development!

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🧠 Channel: https://t.me/GithubRe

💡 NVIDIA/SkillSpector just hit the trending charts — here's why it matters.

🔗 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 for AI agent skills, designed to detect vulnerabilities, malicious patterns, and security risks before installing agent skills. It provides multi-format input options, including Git repos, URLs, zip files, directories, or single files, and performs two-stage analysis with fast static analysis and optional LLM semantic evaluation.

Key features include 64 vulnerability patterns across 16 categories, live vulnerability lookups with SC4 queries to OSV.dev for real-time CVE data, and multiple output formats such as terminal, JSON, Markdown, and SARIF reports. Risk scoring is also provided, with a 0-100 score and severity labels, along with clear recommendations.

To use SkillSpector, simply clone the repository, create and activate a virtual environment, and install the required dependencies. You can then scan a local skill directory, a single SKILL.md file, a Git repository, or a zip file using the skillspector scan command. For LLM analysis, configure an OpenAI-compatible LLM endpoint for semantic analysis.

SkillSpector is ideal for security teams and AI developers who want to ensure the security and integrity of their AI agent skills. With its robust feature set and easy-to-use interface, SkillSpector is an essential tool for anyone working with AI agents.

In short, SkillSpector helps you identify potential security risks in AI agent skills before they become a problem.

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🧠 Channel: https://t.me/GithubRe

💡 bannedbook/fanqiang just hit the trending charts — here's why it matters.

🔗 https://github.com/bannedbook/fanqiang
📝 翻墙-科学上网
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The bannedbook/fanqiang GitHub repository is a comprehensive collection of tools and tutorials for circumventing internet censorship and accessing blocked websites. It provides a wide range of software and guides for various platforms, including Windows, macOS, Android, and iOS. The repository includes one-click solutions like ChromeGo, a Chrome extension that integrates multiple anti-censorship tools, as well as tutorials on how to set up and use V2ray, Shadowsocks, and SSR. The project aims to help users in regions with strict internet censorship to access the global internet freely and securely. With its vast array of resources and documentation, the bannedbook/fanqiang repository is an invaluable resource for anyone looking to bypass internet restrictions. Break free from censorship with bannedbook/fanqiang - empowering internet freedom, one click at a time!

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🧠 Channel: https://t.me/GithubRe

🌟 swc-project/swc caught my eye on GitHub Trending today.

🔗 https://github.com/swc-project/swc
📝 Rust-based platform for the Web
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The SWC (Speedy Web Compiler) is a super-fast TypeScript/JavaScript compiler written in Rust. It's a library for both Rust and JavaScript, enabling developers to compile their code quickly and efficiently. With SWC, you can expect fast compilation, seamless integration, and a strong focus on community involvement. To get started, you can use the swc_ecma_parser or check out the documentation on the website.

Key Features include super-fast compilation, support for the latest JavaScript features, and a simple, easy-to-use API. For Rust users, the minimum supported Rust version is 1.73, and you can update all SWC crates using a simple script.

Technical Highlights of SWC include its ability to handle complex codebases with ease, its support for plugins and custom transforms, and its extensive documentation and community resources. Whether you're a seasoned developer or just starting out, SWC has something to offer.

The SWC community is active and supportive, with many ways to get involved, including contributing code, participating in discussions, and sponsoring the project. So why wait? Join the SWC community today and start compiling your code with speed and ease.
SWC is all about making the web development process faster - give it a try and experience the speed for yourself!

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🧠 Channel: https://t.me/GithubRe

🎯 x1xhlol/system-prompts-and-models-of-ai-tools landed on trending. Worth a proper look.

🔗 https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
📝 FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
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The x1xhlol/system-prompts-and-models-of-ai-tools GitHub repository is a valuable collection of AI system prompts and models. Its main purpose is to provide developers with a comprehensive resource for AI system prompts, helping them build and secure their AI tools.

The repository offers key features such as a wide range of system prompts and models for various AI applications, as well as resources for securing AI systems. To use this repository, you can explore the different prompts and models, and even contribute to the collection by opening an issue.

From a technical standpoint, the repository highlights the importance of securing AI systems, particularly for startups. It recommends checking out ZeroLeaks, a service designed to help identify and secure prompt injection and system prompt extraction risks.

This repository is suitable for developers and AI startups looking to build and secure their AI tools. If you find this collection useful, consider supporting the project through cryptocurrency donations, Patreon, or Ko-fi.

In short, this repository is a go-to resource for AI system prompts and models - star it and stay ahead in the AI game!

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🧠 Channel: https://t.me/GithubRe