Github Top Repositories

🎯 microsoft/agent-governance-toolkit landed on trending. Worth a proper look.

🔗 https://github.com/microsoft/agent-governance-toolkit
📝 AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
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The Agent Governance Toolkit is an open-source framework that helps you manage and govern autonomous AI agents. Its primary goal is to ensure that AI agents behave as intended and follow the rules. The toolkit provides features like policy enforcement, identity management, sandboxing, and auditing to prevent potential risks.

Key Features:
- Policy Engine: Enforces rules and restrictions on AI agent actions
- Identity Management: Ensures that agents are authenticated and authorized
- Sandboxing: Limits agent privileges to prevent damage
- Auditing: Tracks and logs agent actions for transparency and accountability

To get started, you can install the toolkit using pip install agent-governance-toolkit[full] and follow the quick start guide. The toolkit supports multiple programming languages, including Python, TypeScript, .NET, Rust, and Go.

From a technical standpoint, the toolkit uses a stateless, deterministic, fail-closed policy decision runtime to ensure that agent actions are allowed or denied based on predefined rules. It also provides a range of tools and capabilities, including a CLI for verifying compliance and a PolicyEvaluator API for programmatic control.

The Agent Governance Toolkit is designed for developers, security teams, and organizations that work with autonomous AI agents. It's particularly useful for those who need to ensure that their agents comply with regulations and policies.

In summary, the Agent Governance Toolkit is a powerful framework for governing autonomous AI agents, providing a range of features and tools to ensure that agents behave as intended. With its easy-to-use govern() function, you can govern any tool function in just two lines of code - giving you peace of mind and a good night's sleep, knowing your AI agents are under control!

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🧠 Channel: https://t.iss.one/GithubRe

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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 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!

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🧠 Channel: https://t.iss.one/GithubRe

184 views22:00

⚡ 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:
- 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. 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.

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🧠 Channel: https://t.iss.one/GithubRe

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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 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

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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 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

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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 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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170 views14:07