Github Top Repositories
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🔥 github/copilot-sdk is trending — and it deserves your attention.
🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The GitHub Copilot SDK is a game-changer for developers, allowing you to embed Copilot's intelligent workflows into your applications. With SDKs available for
The SDKs communicate with the Copilot CLI server via
The GitHub Copilot SDK supports multiple authentication methods, including GitHub signed-in user, OAuth GitHub App, and BYOK (Bring Your Own Key). It's production-ready, following semantic versioning, and has a CHANGELOG for release notes.
Whether you're looking to speed up development or extend the functionality of Copilot, this SDK has got you covered. So, what are you waiting for? Get started today and unlock the full potential of GitHub Copilot - Automate your workflow, amplify your code.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The GitHub Copilot SDK is a game-changer for developers, allowing you to embed Copilot's intelligent workflows into your applications. With SDKs available for
Python, TypeScript, Go, .NET, Java, and Rust, you can define agent behavior and let Copilot handle the heavy lifting. The SDKs communicate with the Copilot CLI server via
JSON-RPC, managing the CLI process lifecycle automatically. You can install your preferred SDK using the provided commands and get started with the Getting Started Guide. The GitHub Copilot SDK supports multiple authentication methods, including GitHub signed-in user, OAuth GitHub App, and BYOK (Bring Your Own Key). It's production-ready, following semantic versioning, and has a CHANGELOG for release notes.
Whether you're looking to speed up development or extend the functionality of Copilot, this SDK has got you covered. So, what are you waiting for? Get started today and unlock the full potential of GitHub Copilot - Automate your workflow, amplify your code.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🚀 Meet aquasecurity/trivy: a gem from today's GitHub trending list.
🔗 https://github.com/aquasecurity/trivy
📝 Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
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Trivy is a versatile security scanner that can detect security issues in various targets, including container images, filesystems, Git repositories, and Kubernetes. It has multiple scanners that look for known vulnerabilities, sensitive information, and misconfigurations. Key features include support for most programming languages, operating systems, and platforms, as well as integration with popular tools like GitHub Actions and VS Code.
To get started with
Technical highlights include canary builds generated with every push to the main branch, which can be used for testing but are not recommended for production use. Audience includes developers, security professionals, and anyone looking to improve the security of their applications and infrastructure.
In summary, Trivy is a powerful tool for detecting security issues, and its ease of use and flexibility make it a great choice for anyone looking to improve their security posture - scan your code with Trivy today and sleep better tonight!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/aquasecurity/trivy
📝 Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
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Trivy is a versatile security scanner that can detect security issues in various targets, including container images, filesystems, Git repositories, and Kubernetes. It has multiple scanners that look for known vulnerabilities, sensitive information, and misconfigurations. Key features include support for most programming languages, operating systems, and platforms, as well as integration with popular tools like GitHub Actions and VS Code.
To get started with
trivy, you can install it using common distribution channels like brew install trivy or docker run aquasec/trivy. The trivy command can be used to scan targets, such as trivy image python:3.4-alpine or trivy fs --scanners vuln,secret,misconfig myproject/.Technical highlights include canary builds generated with every push to the main branch, which can be used for testing but are not recommended for production use. Audience includes developers, security professionals, and anyone looking to improve the security of their applications and infrastructure.
In summary, Trivy is a powerful tool for detecting security issues, and its ease of use and flexibility make it a great choice for anyone looking to improve their security posture - scan your code with Trivy today and sleep better tonight!
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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⚡ openclaw/openclaw-windows-node is making waves. Here's the full picture.
🔗 https://github.com/openclaw/openclaw-windows-node
📝 Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension
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The openclaw-windows-node repository is a native Windows companion suite for OpenClaw, the AI-powered personal assistant. This monorepo contains the Windows hub, shared client libraries, and CLI utilities. The suite includes a system tray application, a shared gateway client library, and a CLI validator for WebSocket connections.
To get started, users can download the latest stable installer from the OpenClaw Windows docs or build the project using the provided
Technical highlights of the project include the use of
The audience for this project includes users of the OpenClaw personal assistant who want a native Windows companion suite. The project is designed to be user-friendly, with a simple setup process and an intuitive interface.
In summary, the openclaw-windows-node repository provides a powerful and user-friendly native Windows companion suite for OpenClaw, with a range of features and technical capabilities. Transform your Windows PC into a node that OpenClaw can control, and unlock a world of possibilities!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/openclaw/openclaw-windows-node
📝 Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension
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The openclaw-windows-node repository is a native Windows companion suite for OpenClaw, the AI-powered personal assistant. This monorepo contains the Windows hub, shared client libraries, and CLI utilities. The suite includes a system tray application, a shared gateway client library, and a CLI validator for WebSocket connections.
To get started, users can download the latest stable installer from the OpenClaw Windows docs or build the project using the provided
build.ps1 script. The suite features a modern Windows 11-style system tray companion with dark/light mode support, quick send functionality, and auto-updates. It also includes an embedded chat window with WebView2, toast notifications, and channel control.Technical highlights of the project include the use of
WinUI 3 for the system tray application and WebView2 for the embedded chat window. The project also utilizes dotnet for building and running the application. The audience for this project includes users of the OpenClaw personal assistant who want a native Windows companion suite. The project is designed to be user-friendly, with a simple setup process and an intuitive interface.
In summary, the openclaw-windows-node repository provides a powerful and user-friendly native Windows companion suite for OpenClaw, with a range of features and technical capabilities. Transform your Windows PC into a node that OpenClaw can control, and unlock a world of possibilities!
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🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🔥 reconurge/flowsint is trending — and it deserves your attention.
🔗 https://github.com/reconurge/flowsint
📝 A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators.
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Introduction to Flowsint: Flowsint is an open-source OSINT graph exploration tool designed for ethical investigation, transparency, and verification. It's built to help users explore relationships between entities through a visual graph interface and automated enrichers.
Key Features:
- Graph-based investigation
- Automated enrichers for domains, IPs, social media, and more
- Support for multiple data types, including domains, IPs, ASNs, and more
- Modern and user-friendly interface
Usage: To get started, users can install Flowsint using Docker and Make on Linux/macOS or using Docker Desktop on Windows. The application is accessible at
Technical Highlights:
- Modular structure with separate modules for core utilities, enrichers, API, and frontend
- Built using Python, FastAPI, and Pydantic
- Supports PostgreSQL and Neo4j databases
Audience: Flowsint is designed for cybersecurity researchers, journalists, law enforcement, and organizations conducting internal threat intelligence or digital risk analysis.
Important Note: Flowsint is strictly for lawful, ethical investigation and research purposes. Any misuse of this software is prohibited.
In short, Flowsint is a powerful tool for OSINT investigations - use it to uncover hidden connections, and always remember: with great power comes great responsibility.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/reconurge/flowsint
📝 A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators.
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Introduction to Flowsint: Flowsint is an open-source OSINT graph exploration tool designed for ethical investigation, transparency, and verification. It's built to help users explore relationships between entities through a visual graph interface and automated enrichers.
Key Features:
- Graph-based investigation
- Automated enrichers for domains, IPs, social media, and more
- Support for multiple data types, including domains, IPs, ASNs, and more
- Modern and user-friendly interface
Usage: To get started, users can install Flowsint using Docker and Make on Linux/macOS or using Docker Desktop on Windows. The application is accessible at
http://localhost:5173.Technical Highlights:
- Modular structure with separate modules for core utilities, enrichers, API, and frontend
- Built using Python, FastAPI, and Pydantic
- Supports PostgreSQL and Neo4j databases
Audience: Flowsint is designed for cybersecurity researchers, journalists, law enforcement, and organizations conducting internal threat intelligence or digital risk analysis.
Important Note: Flowsint is strictly for lawful, ethical investigation and research purposes. Any misuse of this software is prohibited.
In short, Flowsint is a powerful tool for OSINT investigations - use it to uncover hidden connections, and always remember: with great power comes great responsibility.
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🧠 Channel: https://t.me/GithubRe
🔥 mvanhorn/last30days-skill is trending — and it deserves your attention.
🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Introducing the /last30days-skill GitHub repository, a game-changing AI-powered search engine that aggregates information from various sources, including Reddit, X, YouTube, TikTok, and GitHub. This innovative tool scores results based on upvotes, likes, and real money, providing a more accurate and unbiased view of what's currently trending.
Key features include a zero-config setup, immediate access to various platforms, and the ability to unlock additional sources with a simple setup wizard. The engine also features intelligent search, best takes, cross-source cluster merging, single-pass comparisons, and auto-discovered competitor comparisons.
Technical highlights include a Python pre-research brain that resolves topics and searches the right people and communities, a second judge that scores results for humor and virality, and a cross-source cluster merging feature that combines similar stories from different platforms.
Audience includes anyone looking for a more accurate and comprehensive search engine, such as professionals, researchers, and individuals seeking to stay informed about current events.
To get started, simply install the
In conclusion, /last30days-skill is a revolutionary search engine that provides a more accurate and unbiased view of what's currently trending, making it an essential tool for anyone seeking to stay informed in today's fast-paced world: Stay ahead of the curve with /last30days-skill, the ultimate AI-powered search engine.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Introducing the /last30days-skill GitHub repository, a game-changing AI-powered search engine that aggregates information from various sources, including Reddit, X, YouTube, TikTok, and GitHub. This innovative tool scores results based on upvotes, likes, and real money, providing a more accurate and unbiased view of what's currently trending.
Key features include a zero-config setup, immediate access to various platforms, and the ability to unlock additional sources with a simple setup wizard. The engine also features intelligent search, best takes, cross-source cluster merging, single-pass comparisons, and auto-discovered competitor comparisons.
/last30days can be used in various ways, such as before a meeting to gather information about a person or company, when something drops to stay up-to-date on the latest news, or to compare tools and understand the world.Technical highlights include a Python pre-research brain that resolves topics and searches the right people and communities, a second judge that scores results for humor and virality, and a cross-source cluster merging feature that combines similar stories from different platforms.
Audience includes anyone looking for a more accurate and comprehensive search engine, such as professionals, researchers, and individuals seeking to stay informed about current events.
To get started, simply install the
last30days-skill using Claude Code or other supported platforms, and begin searching with the /last30days command.In conclusion, /last30days-skill is a revolutionary search engine that provides a more accurate and unbiased view of what's currently trending, making it an essential tool for anyone seeking to stay informed in today's fast-paced world: Stay ahead of the curve with /last30days-skill, the ultimate AI-powered search engine.
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🧠 Channel: https://t.me/GithubRe
🌟 NousResearch/hermes-agent caught my eye on GitHub Trending today.
🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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Hermes Agent is a self-improving AI agent built by Nous Research, designed to learn from experience and improve over time. It features a closed learning loop, allowing it to create skills from experience, improve them during use, and search its own past conversations. The agent can be run on a variety of platforms, including a $5 VPS, a GPU cluster, or serverless infrastructure, and can be accessed from Telegram, Discord, Slack, WhatsApp, Signal, or the command line.
Key features include:
- A real terminal interface with multiline editing, slash-command autocomplete, and conversation history
- The ability to live where you do, with support for multiple messaging platforms
- A closed learning loop with agent-curated memory and periodic nudges
- Scheduled automations with a built-in cron scheduler
- The ability to delegate and parallelize tasks using isolated subagents
To get started, you can install Hermes Agent using a simple one-liner command, and then configure it using the
Technical highlights include support for multiple terminal backends, a research-ready architecture, and a scalable design that allows it to run on a variety of hardware configurations.
The target audience for Hermes Agent includes developers, researchers, and anyone interested in building and interacting with AI agents.
In summary, Hermes Agent is a powerful and flexible AI agent that can be used for a wide range of applications, from research and development to personal productivity and automation - it's an AI agent that learns and adapts to your needs.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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Hermes Agent is a self-improving AI agent built by Nous Research, designed to learn from experience and improve over time. It features a closed learning loop, allowing it to create skills from experience, improve them during use, and search its own past conversations. The agent can be run on a variety of platforms, including a $5 VPS, a GPU cluster, or serverless infrastructure, and can be accessed from Telegram, Discord, Slack, WhatsApp, Signal, or the command line.
Key features include:
- A real terminal interface with multiline editing, slash-command autocomplete, and conversation history
- The ability to live where you do, with support for multiple messaging platforms
- A closed learning loop with agent-curated memory and periodic nudges
- Scheduled automations with a built-in cron scheduler
- The ability to delegate and parallelize tasks using isolated subagents
To get started, you can install Hermes Agent using a simple one-liner command, and then configure it using the
hermes setup command. The agent supports a wide range of models and providers, including Nous Portal, OpenRouter, and Hugging Face.Technical highlights include support for multiple terminal backends, a research-ready architecture, and a scalable design that allows it to run on a variety of hardware configurations.
The target audience for Hermes Agent includes developers, researchers, and anyone interested in building and interacting with AI agents.
In summary, Hermes Agent is a powerful and flexible AI agent that can be used for a wide range of applications, from research and development to personal productivity and automation - it's an AI agent that learns and adapts to your needs.
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🧠 Channel: https://t.me/GithubRe
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🎯 chopratejas/headroom landed on trending. Worth a proper look.
🔗 https://github.com/chopratejas/headroom
📝 Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
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Headroom is a context compression layer for AI agents that reduces the number of tokens sent to language models, resulting in significant savings. It achieves this through a combination of library, proxy, and agent wrap modes. Key features include
Technical highlights include the use of
Headroom is suitable for developers and researchers working with AI agents, particularly those who need to reduce the token count for their models. It supports various agents, including Claude, Codex, and Cursor, and can be integrated into existing workflows using the provided SDKs and APIs.
To get started, simply install
In summary, Headroom is a powerful tool for reducing token count in AI agent workflows, and its flexible architecture makes it easy to integrate into existing projects. With Headroom, you can compress everything, sacrifice nothing.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/chopratejas/headroom
📝 Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
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Headroom is a context compression layer for AI agents that reduces the number of tokens sent to language models, resulting in significant savings. It achieves this through a combination of library, proxy, and agent wrap modes. Key features include
cross-agent memory, reversible compression, and support for multiple algorithms. Technical highlights include the use of
SmartCrusher for JSON compression, CodeCompressor for AST-aware compression, and Kompress-base for text compression. The CacheAligner ensures that provider KV caches are utilized effectively. Headroom is suitable for developers and researchers working with AI agents, particularly those who need to reduce the token count for their models. It supports various agents, including Claude, Codex, and Cursor, and can be integrated into existing workflows using the provided SDKs and APIs.
To get started, simply install
headroom-ai using pip or npm and follow the documentation for your specific use case. In summary, Headroom is a powerful tool for reducing token count in AI agent workflows, and its flexible architecture makes it easy to integrate into existing projects. With Headroom, you can compress everything, sacrifice nothing.
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🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🔥 CopilotKit/CopilotKit is trending — and it deserves your attention.
🔗 https://github.com/CopilotKit/CopilotKit
📝 The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
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CopilotKit is a best-in-class SDK for building full-stack agentic applications, Generative UI, and chat applications. The key features include Chat UI, Backend Tool Rendering, Generative UI, Shared State, and Human-in-the-Loop workflows. To get started, you can use the
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/CopilotKit/CopilotKit
📝 The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
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CopilotKit is a best-in-class SDK for building full-stack agentic applications, Generative UI, and chat applications. The key features include Chat UI, Backend Tool Rendering, Generative UI, Shared State, and Human-in-the-Loop workflows. To get started, you can use the
npx copilotkit@latest create -f <framework> command for new projects or npx copilotkit@latest init for existing projects. The useAgent hook provides a superset of useCoAgent and offers more control over the agent connection. The Generative UI pattern allows agents to dynamically render UI as part of their workflow. With a strong focus on community and documentation, CopilotKit is perfect for developers looking to build cutting-edge applications. You can install it as a Claude Code plugin and explore the various skills and lifecycle journey skills. One-liner takeaway: CopilotKit is revolutionizing the way we build agentic applications, and you can get started in just one minute!──────────────────────────────
🧠 Channel: https://t.me/GithubRe