🌟 music-assistant/server caught my eye on GitHub Trending today.
🔗 https://github.com/music-assistant/server
📝 Music Assistant is a free, opensource Media library manager that connects to your streaming services and a wide range of connected speakers. The server is the beating heart, the core of Music Assistant and must run on an always-on device like a Raspberry Pi, a NAS or an Intel NUC or alike.
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The Music Assistant Server is the core of a free, open-source media library manager that connects to your streaming services and a wide range of connected speakers. Its key features include managing your media library and integrating with Home Assistant for automation. To use it, you can run the server as a Home Assistant Add-on or a Docker container, following the installation instructions on the Music Assistant website. From a technical standpoint, the server is built with
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/music-assistant/server
📝 Music Assistant is a free, opensource Media library manager that connects to your streaming services and a wide range of connected speakers. The server is the beating heart, the core of Music Assistant and must run on an always-on device like a Raspberry Pi, a NAS or an Intel NUC or alike.
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The Music Assistant Server is the core of a free, open-source media library manager that connects to your streaming services and a wide range of connected speakers. Its key features include managing your media library and integrating with Home Assistant for automation. To use it, you can run the server as a Home Assistant Add-on or a Docker container, following the installation instructions on the Music Assistant website. From a technical standpoint, the server is built with
python and relies on external dependencies like ffmpeg. This project is ideal for those interested in home automation and media management. The takeaway: Streamline your media experience with Music Assistant Server, the perfect harmony of automation and entertainment.──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
🎯 Free-TV/IPTV landed on trending. Worth a proper look.
🔗 https://github.com/Free-TV/IPTV
📝 M3U Playlist for free TV channels
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The Free-TV/IPTV repository on GitHub provides a curated M3U playlist for free TV channels from around the world. The playlist includes channels that are freely available over the air or on the internet, with a focus on quality over quantity. The channels are carefully selected to ensure they meet certain criteria, such as being in HD, having only one URL per channel, and being officially provided for free.
To use the playlist, simply point your IPTV player to the
The repository also includes a list of feed sources that are used to find up-to-date URLs for the channels, including YouTube and Dailymotion. The channels are organized into groups, and each group has its own .md file that lists the channels and their corresponding URLs.
The repository has a clear philosophy that guides the selection of channels, including a focus on mainstream channels, no adult or paid content, and only channels that are officially provided for free. The repository also has a set of guidelines for pull requests and issues, to ensure that the playlist is updated and maintained correctly.
Overall, the Free-TV/IPTV repository is a valuable resource for anyone looking for a curated list of free TV channels from around the world. With its focus on quality and its careful selection of channels, it provides a great way to access a wide range of free TV content.
Get ready to cut the cord and enjoy free TV with Free-TV/IPTV!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/Free-TV/IPTV
📝 M3U Playlist for free TV channels
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The Free-TV/IPTV repository on GitHub provides a curated M3U playlist for free TV channels from around the world. The playlist includes channels that are freely available over the air or on the internet, with a focus on quality over quantity. The channels are carefully selected to ensure they meet certain criteria, such as being in HD, having only one URL per channel, and being officially provided for free.
To use the playlist, simply point your IPTV player to the
https://raw.githubusercontent.com/Free-TV/IPTV/master/playlist.m3u8 URL. The playlist is generated using a Python script and is updated regularly to ensure that the channels are working properly.The repository also includes a list of feed sources that are used to find up-to-date URLs for the channels, including YouTube and Dailymotion. The channels are organized into groups, and each group has its own .md file that lists the channels and their corresponding URLs.
The repository has a clear philosophy that guides the selection of channels, including a focus on mainstream channels, no adult or paid content, and only channels that are officially provided for free. The repository also has a set of guidelines for pull requests and issues, to ensure that the playlist is updated and maintained correctly.
Overall, the Free-TV/IPTV repository is a valuable resource for anyone looking for a curated list of free TV channels from around the world. With its focus on quality and its careful selection of channels, it provides a great way to access a wide range of free TV content.
Get ready to cut the cord and enjoy free TV with Free-TV/IPTV!
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🔥 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
Here's an example of how to use
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://xn--r1a.website/GithubRe
🔗 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://xn--r1a.website/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
Key features include a Chat Completions API for provider-agnostic model interactions, and an Agents API with tools and toolkits to build custom agents.
To get started, you can install the base package using
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,
In a nutshell,
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 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!──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
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Github Top Repositories
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📌 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
The repository is technical highlight for developers, with an
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://xn--r1a.website/GithubRe
🔗 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://xn--r1a.website/GithubRe
Github Top Repositories
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🎯 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 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://xn--r1a.website/GithubRe
🔗 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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Github Top Repositories
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🔍 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
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:
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 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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🔥 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
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
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://xn--r1a.website/GithubRe
🔗 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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