Github Top Repositories
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🌟 yorukot/superfile caught my eye on GitHub Trending today.
🔗 https://github.com/yorukot/superfile
📝 Pretty fancy and modern terminal file manager
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Superfile is a powerful tool that simplifies file management. Its key features include a user-friendly interface, customizable plugins, and themes. To get started, you can
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/yorukot/superfile
📝 Pretty fancy and modern terminal file manager
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Superfile is a powerful tool that simplifies file management. Its key features include a user-friendly interface, customizable plugins, and themes. To get started, you can
install superfile using various methods, including a simple script for macOS and Linux: bash -c "$(curl -sLo- https://superfile.dev/install.sh)". For Windows, you can use Powershell or package managers like Winget or Scoop. Technical highlights of superfile include its ability to handle large files and folders efficiently. The project is supported by the community and is suitable for developers, power users, and anyone looking for a robust file management solution. With its
auto-update functionality and customizable hotkeys, superfile is a great choice for those who want a seamless file management experience. Overall, superfile is a must-have tool for anyone looking to streamline their file management workflow - give it a try and see the difference for yourself!──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
⚡ bradautomates/claude-video is making waves. Here's the full picture.
🔗 https://github.com/bradautomates/claude-video
📝 Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.
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Claude Video is a powerful tool that enables Claude to watch and analyze videos. With zero config, you can paste a URL or local path and ask a question, and Claude will fetch captions, download the video, extract frames, and provide a timestamped transcript.
The key features of Claude Video include:
-
- Caption support for most public videos
- Whisper API key for videos without captions
- Frame extraction and transcript analysis
Usage is simple: paste a URL or local path, ask a question, and Claude will provide an answer based on the video content. You can use Claude Video to:
- Analyze someone else's content
- Diagnose a bug from a video
- Summarize a video
- Cut the hype out of an update video
- Turn a playlist into notes
From a technical standpoint, Claude Video uses
The target audience for Claude Video includes developers, content creators, and anyone who needs to analyze video content. Overall, Claude Video is a game-changer for anyone who wants to unlock the power of video analysis. Watch, analyze, and understand videos like never before!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/bradautomates/claude-video
📝 Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.
──────────────────────────────
Claude Video is a powerful tool that enables Claude to watch and analyze videos. With zero config, you can paste a URL or local path and ask a question, and Claude will fetch captions, download the video, extract frames, and provide a timestamped transcript.
The key features of Claude Video include:
-
yt-dlp and ffmpeg installation on first run- Caption support for most public videos
- Whisper API key for videos without captions
- Frame extraction and transcript analysis
Usage is simple: paste a URL or local path, ask a question, and Claude will provide an answer based on the video content. You can use Claude Video to:
- Analyze someone else's content
- Diagnose a bug from a video
- Summarize a video
- Cut the hype out of an update video
- Turn a playlist into notes
From a technical standpoint, Claude Video uses
yt-dlp to check captions and download videos, and ffmpeg to extract frames. The script also handles frame deduplication to reduce token cost.The target audience for Claude Video includes developers, content creators, and anyone who needs to analyze video content. Overall, Claude Video is a game-changer for anyone who wants to unlock the power of video analysis. Watch, analyze, and understand videos like never before!
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🧠 Channel: https://t.iss.one/GithubRe
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🚀 Meet opengeos/GeoLibre: a gem from today's GitHub trending list.
🔗 https://github.com/opengeos/GeoLibre
📝 A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
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Meet GeoLibre, a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere - in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, while keeping your data local and private. Key features include 3D visualization, planetary basemaps, and a SQL workspace.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/opengeos/GeoLibre
📝 A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
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Meet GeoLibre, a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere - in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, while keeping your data local and private. Key features include 3D visualization, planetary basemaps, and a SQL workspace.
Tauri v2, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl power the platform. Audience includes GIS professionals, researchers, and anyone working with geospatial data. With its extensive documentation and community-driven development, GeoLibre is an ideal choice for those seeking a flexible and customizable GIS solution. GeoLibre is perfect for anyone looking for a free and open-source GIS platform that can be used anywhere - your data, your way, anywhere.──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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💡 moeru-ai/airi just hit the trending charts — here's why it matters.
🔗 https://github.com/moeru-ai/airi
📝 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
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AIRI: Your Cyber Living Companion
Imagine having a digital being that can chat, play games, and interact with you in various ways. Project AIRI aims to make this a reality, inspired by
Key Features:
- Chat and roleplay with your digital companion
- Play games together
- Interact while watching videos or coding
- Personalize your digital being
Technical Highlights:
- Powered by modern large language models like
- Supports various platforms, including Windows, macOS, and Linux
- Available for mobile and web browsers
Usage:
- Download and install AIRI from the official website
- Follow the setup instructions to create your digital companion
- Start interacting with your AIRI companion
Audience:
- Anyone interested in AI-driven virtual companions
- Developers looking to contribute to an open-source project
- Fans of virtual streamers and digital humans
Get Started:
- Visit the AIRI website to learn more and download the application
- Join the Discord server for community support and updates
Takeaway: With AIRI, you can have your own digital companion, anytime, anywhere - own your digital life.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/moeru-ai/airi
📝 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of realtime voice chat, Minecraft, Factorio playing. Web / macOS / Windows supported.
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AIRI: Your Cyber Living Companion
Imagine having a digital being that can chat, play games, and interact with you in various ways. Project AIRI aims to make this a reality, inspired by
Neuro-sama, a virtual streamer. AIRI is an open-source project that lets you own your digital life, anywhere, anytime.Key Features:
- Chat and roleplay with your digital companion
- Play games together
- Interact while watching videos or coding
- Personalize your digital being
Technical Highlights:
- Powered by modern large language models like
ChatGPT and Claude- Supports various platforms, including Windows, macOS, and Linux
- Available for mobile and web browsers
Usage:
- Download and install AIRI from the official website
- Follow the setup instructions to create your digital companion
- Start interacting with your AIRI companion
Audience:
- Anyone interested in AI-driven virtual companions
- Developers looking to contribute to an open-source project
- Fans of virtual streamers and digital humans
Get Started:
- Visit the AIRI website to learn more and download the application
- Join the Discord server for community support and updates
Takeaway: With AIRI, you can have your own digital companion, anytime, anywhere - own your digital life.
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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💡 affaan-m/ECC just hit the trending charts — here's why it matters.
🔗 https://github.com/affaan-m/ECC
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC (agent harness operating system) is an open-source project that provides a coordinated engineering system and toolbox for your agent. It plans, tests, implements, reviews, verifies, remembers, and improves your agent's work. ECC is MIT-licensed and works with multiple harnesses, including Claude Code and Codex. It offers 67 agents, 281 skills, and 94 legacy command shims, as well as hooks, rules, memory, continuous learning, and
The project supports multiple programming languages, including
The ECC community is active, with a Discord channel and a website. The project is funded by sponsors and Pro subscribers.
Here is a sample
```bash
/plugin install ecc@ecc
```
And a sample
```json
{
"extraKnownMarketplaces": {
"ecc": {
"source": {
"source": "github",
"repo": "affaan-m/ECC"
}
}
},
"enabledPlugins": {
"ecc@ecc": true
}
}
```
In summary, ECC is a powerful tool that helps your agent work more efficiently and effectively. With its large community, multiple installation options, and extensive features, ECC is a great choice for anyone looking to improve their agent's performance. Upgrade your agent's workflow with ECC today!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/affaan-m/ECC
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC (agent harness operating system) is an open-source project that provides a coordinated engineering system and toolbox for your agent. It plans, tests, implements, reviews, verifies, remembers, and improves your agent's work. ECC is MIT-licensed and works with multiple harnesses, including Claude Code and Codex. It offers 67 agents, 281 skills, and 94 legacy command shims, as well as hooks, rules, memory, continuous learning, and
AgentShield security scanning.The project supports multiple programming languages, including
Shell, TypeScript, Python, Go, Java, and Perl. To install ECC, you can use the Claude Code plugin or the Codex sync flow. The recommended default is to install the Claude Code plugin for Claude Code and use the supported sync flow for Codex.The ECC community is active, with a Discord channel and a website. The project is funded by sponsors and Pro subscribers.
Here is a sample
install command:
```bash
/plugin install ecc@ecc
```
And a sample
settings.json:
```json
{
"extraKnownMarketplaces": {
"ecc": {
"source": {
"source": "github",
"repo": "affaan-m/ECC"
}
}
},
"enabledPlugins": {
"ecc@ecc": true
}
}
```
In summary, ECC is a powerful tool that helps your agent work more efficiently and effectively. With its large community, multiple installation options, and extensive features, ECC is a great choice for anyone looking to improve their agent's performance. Upgrade your agent's workflow with ECC today!
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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🔍 Deep-diving into huggingface/speech-to-speech — fresh off the trending list.
🔗 https://github.com/huggingface/speech-to-speech
📝 Build local voice agents with open-source models
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Say hello to voice agents made easy! The huggingface/speech-to-speech repository offers a low-latency, fully modular voice-agent pipeline that's
* Voice Activity Detection (VAD) to detect speech boundaries and turn-taking
* Speech to Text (STT) to transcribe user input
* Language Model (LLM) to generate responses
* Text to Speech (TTS) to synthesize audio output
The pipeline is designed to be highly
To get started, simply
The huggingface/speech-to-speech repository is perfect for developers, researchers, and hobbyists who want to build innovative voice-activated applications. So why wait? Dive in and start building your own voice agent today!
Build your own voice agent in minutes, not hours!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/huggingface/speech-to-speech
📝 Build local voice agents with open-source models
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Say hello to voice agents made easy! The huggingface/speech-to-speech repository offers a low-latency, fully modular voice-agent pipeline that's
swappable and customizable. This pipeline is perfect for building voice-activated applications, and its key features include:* Voice Activity Detection (VAD) to detect speech boundaries and turn-taking
* Speech to Text (STT) to transcribe user input
* Language Model (LLM) to generate responses
* Text to Speech (TTS) to synthesize audio output
The pipeline is designed to be highly
flexible and configurable, with multiple interchangeable backends for each component. It's also optimized for low-latency and realtime performance, making it suitable for applications that require fast and seamless voice interactions.To get started, simply
pip install speech-to-speech and follow the quickstart guide. From there, you can experiment with different backends, models, and configurations to create your own custom voice agent.The huggingface/speech-to-speech repository is perfect for developers, researchers, and hobbyists who want to build innovative voice-activated applications. So why wait? Dive in and start building your own voice agent today!
Build your own voice agent in minutes, not hours!
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🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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📌 Spotted on GitHub Trending: 1jehuang/jcode — let's break it down.
🔗 https://github.com/1jehuang/jcode
📝 The most RAM effiecent harness
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The jcode repository is a cutting-edge harness designed to be the most RAM efficient and intelligent. Its primary purpose is to provide a highly performant and resource-efficient tool for scaling multi-session workflows. The key features of jcode include its ability to optimize every metric to the bone, making it ideal for large-scale applications.
To use jcode, you can install it using a simple command:
on macOS and Linux, or
on Windows.
From a technical standpoint, jcode is built to be highly optimized, with a focus on RAM usage and boot up time. It outperforms other tools like pi, Codex CLI, and GitHub Copilot CLI in terms of RAM efficiency and speed.
The target audience for jcode appears to be developers and power users who require a high-performance tool for their workflows.
Overall, jcode is an impressive tool that sets a new standard for performance and efficiency. Here's a punchy one-liner takeaway: jcode is the secret sauce to turbocharge your workflows with its blistering speed and razor-sharp efficiency!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/1jehuang/jcode
📝 The most RAM effiecent harness
──────────────────────────────
The jcode repository is a cutting-edge harness designed to be the most RAM efficient and intelligent. Its primary purpose is to provide a highly performant and resource-efficient tool for scaling multi-session workflows. The key features of jcode include its ability to optimize every metric to the bone, making it ideal for large-scale applications.
To use jcode, you can install it using a simple command:
curl -fsSL https://jcode.sh/install | bash on macOS and Linux, or
irm https://jcode.sh/install.ps1 | iex on Windows.
From a technical standpoint, jcode is built to be highly optimized, with a focus on RAM usage and boot up time. It outperforms other tools like pi, Codex CLI, and GitHub Copilot CLI in terms of RAM efficiency and speed.
The target audience for jcode appears to be developers and power users who require a high-performance tool for their workflows.
Overall, jcode is an impressive tool that sets a new standard for performance and efficiency. Here's a punchy one-liner takeaway: jcode is the secret sauce to turbocharge your workflows with its blistering speed and razor-sharp efficiency!
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🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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💡 grokability/snipe-it just hit the trending charts — here's why it matters.
🔗 https://github.com/grokability/snipe-it
📝 A free open source IT asset/license management system
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The Snipe-IT repository on GitHub is a FOSS project designed for asset management in IT operations. It helps track and manage company assets, such as laptops, software licenses, and other equipment.
The software is web-based, so it can be accessed through a web browser and runs on various operating systems, including Mac OSX, Linux, and Windows. A
To get started, users can follow the
Technical highlights of
The target audience for
In summary,
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/grokability/snipe-it
📝 A free open source IT asset/license management system
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The Snipe-IT repository on GitHub is a FOSS project designed for asset management in IT operations. It helps track and manage company assets, such as laptops, software licenses, and other equipment.
Snipe-IT is built on Laravel 12 and is actively developed with frequent releases. The software is web-based, so it can be accessed through a web browser and runs on various operating systems, including Mac OSX, Linux, and Windows. A
Docker image is also available for easy deployment. To get started, users can follow the
installation manual and check the requirements documentation for full requirements. The repository also includes a user's manual for help with using the software.Technical highlights of
Snipe-IT include a JSON REST API and support for various libraries and modules, such as SnipeScheduler and SnipeSharp. The software also has a Discord community and allows users to contribute to the project.The target audience for
Snipe-IT includes IT professionals and companies looking for an open-source asset management solution. In summary,
Snipe-IT is a powerful and flexible asset management system that's free, open-source, and constantly evolving - give it a try and take control of your company's assets today!──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
Photo
🚀 Meet deepfakes/faceswap: a gem from today's GitHub trending list.
🔗 https://github.com/deepfakes/faceswap
📝 Deepfakes Software For All
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FaceSwap is a deep learning tool that swaps faces in pictures and videos. It's designed for ethical uses like experimenting with AI techniques, social commentary, and movie production. The project has multiple entry points:
To get started, check out the
The developers emphasize that FaceSwap is not for creating inappropriate content, changing faces without consent, or illicit purposes. They encourage users to follow strict ethical standards and provide a
To contribute, you can fork the repo, play with the code, and check issues with the
The project uses machine learning to recognize and shape faces. If you're new to machine learning, there are videos that explain the process in an understandable way.
In short, FaceSwap is a powerful tool for face swapping with a strong focus on ethical use - use it responsibly and unleash your creativity!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/deepfakes/faceswap
📝 Deepfakes Software For All
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FaceSwap is a deep learning tool that swaps faces in pictures and videos. It's designed for ethical uses like experimenting with AI techniques, social commentary, and movie production. The project has multiple entry points:
extract faces from photos, train a model, and convert sources with the model. You can also use the GUI for a more user-friendly experience.To get started, check out the
INSTALL.md file for installation instructions. You'll need a modern GPU with CUDA support for best performance. The project is written in Python and has various scripts with -h or --help options.The developers emphasize that FaceSwap is not for creating inappropriate content, changing faces without consent, or illicit purposes. They encourage users to follow strict ethical standards and provide a
Discord Server and FaceSwap Forum for support.To contribute, you can fork the repo, play with the code, and check issues with the
dev tag. Non-dev advanced users can clone the repo, play with it, and help others on the forum. End-users can get the code, play with it, and get help from others.The project uses machine learning to recognize and shape faces. If you're new to machine learning, there are videos that explain the process in an understandable way.
In short, FaceSwap is a powerful tool for face swapping with a strong focus on ethical use - use it responsibly and unleash your creativity!
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🧠 Channel: https://t.iss.one/GithubRe
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