Github Top Repositories
Photo
💡 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.
──────────────────────────────
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!
──────────────────────────────
🧠 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.
──────────────────────────────
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!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
🔍 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
──────────────────────────────
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!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/huggingface/speech-to-speech
📝 Build local voice agents with open-source models
──────────────────────────────
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!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤2
Github Top Repositories
Photo
📌 Spotted on GitHub Trending: 1jehuang/jcode — let's break it down.
🔗 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:
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!
──────────────────────────────
🧠 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!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤1
Github Top Repositories
Photo
💡 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
──────────────────────────────
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,
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/grokability/snipe-it
📝 A free open source IT asset/license management system
──────────────────────────────
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
❤1
Github Top Repositories
Photo
🚀 Meet deepfakes/faceswap: a gem from today's GitHub trending list.
🔗 https://github.com/deepfakes/faceswap
📝 Deepfakes Software For All
──────────────────────────────
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!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/deepfakes/faceswap
📝 Deepfakes Software For All
──────────────────────────────
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!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤2
Github Top Repositories
Photo
🎯 microsoft/VibeVoice landed on trending. Worth a proper look.
🔗 https://github.com/microsoft/VibeVoice
📝 Open-Source Frontier Voice AI
──────────────────────────────
The VibeVoice GitHub repository is an open-source collection of cutting-edge voice AI models, including both Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. At its core, VibeVoice leverages a next-token diffusion framework, combining the power of a Large Language Model (LLM) with a diffusion head to generate high-fidelity acoustic details. The repository features several key models, including
For usage, users can explore the
From a technical standpoint, VibeVoice employs continuous speech tokenizers operating at an ultra-low frame rate of 7.5 Hz, significantly boosting computational efficiency.
The repository is geared towards researchers and developers interested in advancing voice AI capabilities, with detailed
In summary: VibeVoice is a powerful, open-source toolkit for voice AI research and development, offering a range of innovative models and technologies to explore - and with great power comes great responsibility to use it ethically.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/microsoft/VibeVoice
📝 Open-Source Frontier Voice AI
──────────────────────────────
The VibeVoice GitHub repository is an open-source collection of cutting-edge voice AI models, including both Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) technologies. At its core, VibeVoice leverages a next-token diffusion framework, combining the power of a Large Language Model (LLM) with a diffusion head to generate high-fidelity acoustic details. The repository features several key models, including
VibeVoice-ASR, VibeVoice-TTS, and VibeVoice-Realtime, each designed to handle specific tasks such as long-form speech recognition, multi-speaker dialogue generation, and real-time streaming TTS. For usage, users can explore the
VibeVoice-ASR playground or run VibeVoice-Realtime on Colab. From a technical standpoint, VibeVoice employs continuous speech tokenizers operating at an ultra-low frame rate of 7.5 Hz, significantly boosting computational efficiency.
The repository is geared towards researchers and developers interested in advancing voice AI capabilities, with detailed
documentation and contribution guidelines available. In summary: VibeVoice is a powerful, open-source toolkit for voice AI research and development, offering a range of innovative models and technologies to explore - and with great power comes great responsibility to use it ethically.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe