🔥 puppeteer/puppeteer is trending — and it deserves your attention.

🔗 https://github.com/puppeteer/puppeteer
📝 JavaScript API for Chrome and Firefox
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Puppeteer is a JavaScript library that provides a high-level API to control Chrome or Firefox over the DevTools Protocol or WebDriver BiDi. It runs in headless mode by default, allowing for automated browser interactions without a visible UI.

The key features of Puppeteer include its ability to launch a browser, open new pages, navigate to URLs, set screen sizes, and simulate user interactions like keyboard input and clicks.

To get started, you can install puppeteer using npm, which downloads a compatible Chrome browser during installation. Alternatively, you can install puppeteer-core as a library without downloading Chrome.

Here's an example of how to use puppeteer:

import puppeteer from 'puppeteer';
const browser = await puppeteer.launch();
const page = await browser.newPage();
await page.goto('https://developer.chrome.com/');
// ... other interactions ...
await browser.close();

Puppeteer is perfect for developers who want to automate browser interactions for tasks like web scraping, automated testing, or automating workflows.

The takeaway: Puppeteer helps you automate beyond recorder - it's not just about automating browser interactions, it's about creating new possibilities.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 andrewyng/aisuite landed on trending. Worth a proper look.

🔗 https://github.com/andrewyng/aisuite
📝 Simple, unified interface to multiple Generative AI providers
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Meet aisuite, a Python library that simplifies building with large language models (LLMs) by providing a unified Chat Completions API and an Agents API. The aisuite library enables you to work with multiple LLM providers, including OpenAI, Anthropic, and Google, using a single interface.

Key features include a Chat Completions API for provider-agnostic model interactions, and an Agents API with tools and toolkits to build custom agents. aisuite supports various providers, including OpenAI, Anthropic, and Google, and allows you to add new providers by implementing a lightweight adapter.

To get started, you can install the base package using pip install aisuite or include the SDKs of the providers you plan to use. The library also comes with a desktop application called OpenCoworker, which can be downloaded for macOS and Windows.

OpenCoworker is a desktop AI coworker that can chat, do deep research, and carry out tasks on your computer. It can read files, send messages, and create documents, spreadsheets, and PDF reports.

aisuite is suitable for developers, data scientists, and anyone looking to build applications with LLMs. With its unified API and flexible toolkits, aisuite makes it easy to integrate LLMs into your projects.

In a nutshell, aisuite is the ultimate toolkit for building with LLMs - it's like having a superpower in your pocket, and the best part is, it's free and open-source!

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: iptv-org/iptv — let's break it down.

🔗 https://github.com/iptv-org/iptv
📝 Collection of publicly available IPTV channels from all over the world
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The iptv-org/iptv repository is a collection of publicly available IPTV channels from around the world. It provides playlists that can be used with any video player that supports live streaming, allowing users to access a wide range of channels. The repository also includes an Electronic Program Guide (EPG) and a database of channel data.

To use the repository, simply paste the link to one of the playlists into a video player and press Open. The main playlist can be found at https://iptv-org.github.io/iptv/index.m3u.

The repository is technical highlight for developers, with an API and database available for use. It's a great resource for anyone looking to access IPTV channels, with a large collection of channels and a user-friendly interface.

Whether you're a developer or just looking for a new way to watch TV, the iptv-org/iptv repository is definitely worth checking out.
With its vast collection of channels and user-friendly interface, it's a game-changer for IPTV streaming - cut the cord and start streaming!

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🧠 Channel: https://t.iss.one/GithubRe

🎯 teslamate-org/teslamate landed on trending. Worth a proper look.

🔗 https://github.com/teslamate-org/teslamate
📝 A self-hosted data logger for your Tesla 🚘 [main maintainer=@JakobLichterfeld]
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TeslaMate is a powerful, self-hosted data logger for your Tesla, written in Elixir and utilizing a Postgres database. It provides high precision drive data recording, automatic address lookup, and easy integration into Home Assistant, Node-Red, and Telegram via MQTT. The project features a range of dashboards, including battery health, charge level, and drive stats, all visualized with Grafana.

To get started with TeslaMate, you can access the official documentation at https://docs.teslamate.org and follow the installation instructions. The project is licensed under the GNU Affero General Public License v3.0 (AGPLv3), ensuring it remains free and open for everyone.

TeslaMate is designed for Tesla owners looking to track and analyze their vehicle's data, with features like geo-fencing, customizable theme modes, and support for multiple vehicles per account.

With its robust feature set and commitment to open-source development, TeslaMate is an excellent choice for anyone looking to take control of their Tesla's data. Take your Tesla to the next level with TeslaMate - track, analyze, and optimize your vehicle's performance like never before.

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into Panniantong/Agent-Reach — fresh off the trending list.

🔗 https://github.com/Panniantong/Agent-Reach
📝 Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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Agent Reach is an open-source project that enables AI agents to access internet capabilities with a single command. The primary purpose of Agent Reach is to simplify the process of granting AI agents access to various online platforms, such as YouTube, Twitter, Reddit, and more, without requiring manual configuration or API keys.

The key features of Agent Reach include zero-configuration support for several platforms, free and open-source tools, and security-focused design. To use Agent Reach, users simply need to copy and paste a command to their AI agent, and the agent will handle the rest.

From a technical perspective, Agent Reach uses a capability layer approach, where it acts as an intermediary between the AI agent and various online platforms. This allows for easy integration and updates of new platforms without requiring significant changes to the underlying code.

Agent Reach supports various AI agents, including Claude Code, OpenClaw, and Cursor, making it a versatile tool for developers and users alike. The project is continuously updated to ensure compatibility with the latest platforms and features.

In summary, Agent Reach is a powerful tool that streamlines the process of granting AI agents access to internet capabilities, making it an essential resource for anyone working with AI agents. With its ease of use, security features, and continuous updates, Agent Reach is the perfect solution for anyone looking to unlock the full potential of their AI agent: 帮我安装 Agent Reach：https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md - and you're all set to supercharge your AI agent!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 meshery/meshery is trending — and it deserves your attention.

🔗 https://github.com/meshery/meshery
📝 Meshery, the cloud native manager
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Meshery is a cloud native manager that enables the design and management of Kubernetes-based infrastructure and applications. It offers visual and collaborative GitOps, allowing you to manage your infrastructure and microservices without needing to write YAML. With 380+ integrations, Meshery supports a wide range of cloud native infrastructure. Key features include infrastructure lifecycle management, multiple Kubernetes clusters and cloud management, and visually and collaboratively managing your infrastructure. Meshery also provides workspaces for team collaboration and environments for managing connections and credentials.
The audience for Meshery includes cloud native developers, DevOps teams, and organizations looking to manage their Kubernetes-based infrastructure and applications.
From a technical standpoint, Meshery leverages Kubernetes' built-in dry-run capabilities and supports Open Policy Agent's Rego query language.
One of the main technical highlights of Meshery is its ability to infer relationships between resources, allowing for more efficient management of complex infrastructure.
In terms of usage, Meshery can be tried in your browser using the Cloud Native Playground, and it also provides a catalog of curated design templates for finding infrastructure configuration patterns.
Overall, Meshery is a powerful tool for managing cloud native infrastructure and applications.
Meshery simplifies Kubernetes management - giving you superpowers to manage all your cloud native infrastructure in one place.

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🧠 Channel: https://t.iss.one/GithubRe

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

🔗 https://github.com/chatwoot/chatwoot
📝 Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
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Chatwoot is an open-source, self-hosted customer support platform that helps businesses deliver exceptional customer experiences. It offers a range of features, including omnichannel support, a help center portal, and AI-powered automation with Captain, its AI agent.

Key features of Chatwoot include:
- Collaboration tools like private notes, labels, and canned responses
- Customer data management with contact profiles and segmentation
- Integrations with popular platforms like Slack, Shopify, and Dialogflow
- Reports and insights to measure customer satisfaction and agent performance

Chatwoot is designed for businesses of all sizes and can be deployed on various platforms, including Heroku and DigitalOcean. It has a large community of contributors and users, and its documentation is available at chatwoot.com/help-center.

Whether you're a small startup or a large enterprise, Chatwoot is a powerful tool for delivering exceptional customer support. With its flexibility, scalability, and customizability, it's an ideal solution for businesses looking to take their customer support to the next level.
Chatwoot empowers you to own your customer support, so take control and start delivering exceptional customer experiences today!

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🧠 Channel: https://t.iss.one/GithubRe

💡 krahets/hello-algo just hit the trending charts — here's why it matters.

🔗 https://github.com/krahets/hello-algo
📝 《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
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Hello Algo is an open-source, free, and beginner-friendly tutorial on data structures and algorithms. The project's main goal is to provide an easy-to-understand and comprehensive guide, using animated graphics to explain complex concepts and allowing readers to run code with one click.

The tutorial covers various programming languages, including Python, Java, C++, JavaScript, and more. It encourages mutual learning and invites readers to ask questions, share insights, and discuss topics in the comments section.

The project is continuously updated and welcomes contributions, including content corrections, code translations, and language translations.

With its user-friendly approach and interactive features, Hello Algo aims to make learning data structures and algorithms an enjoyable experience for everyone.
Learn data structures and algorithms the fun way - start with Hello Algo!

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🧠 Channel: https://t.iss.one/GithubRe