Github Top Repositories
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⚡ macro-inc/macro is making waves. Here's the full picture.
🔗 https://github.com/macro-inc/macro
📝 Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.
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Hey there, let's check out the Macro GitHub repo. Macro is an all-in-one workspace that combines email, messages, docs, tasks, agents, and CRM into a single, fast interface with shared team-level memory. It's designed to be a single operating system for your team, eliminating the need for multiple tools.
The key features of Macro include:
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In terms of technical highlights, Macro is built with
Macro is suitable for small companies or teams within larger companies, looking for an all-in-one workspace solution. The ideal audience includes teams seeking to streamline their workflow, reduce tool clutter, and improve collaboration.
One-liner takeaway: Simplify your team's workflow with Macro, the all-in-one workspace that's about to revolutionize how you get things done!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/macro-inc/macro
📝 Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.
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Hey there, let's check out the Macro GitHub repo. Macro is an all-in-one workspace that combines email, messages, docs, tasks, agents, and CRM into a single, fast interface with shared team-level memory. It's designed to be a single operating system for your team, eliminating the need for multiple tools.
The key features of Macro include:
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Modular blocks that work together like Lego, allowing for customization and extensibility-
Bidirectional graph for cross-references between different surfaces, such as docs and tasks-
Real-time collaborative editing with CRDTs, making it feel like you're editing on the same computerIn terms of technical highlights, Macro is built with
SolidJS and Rust for speed and reliability. The CRDT collaboration system allows for seamless editing and conflict resolution, even with multiple agents operating simultaneously.Macro is suitable for small companies or teams within larger companies, looking for an all-in-one workspace solution. The ideal audience includes teams seeking to streamline their workflow, reduce tool clutter, and improve collaboration.
One-liner takeaway: Simplify your team's workflow with Macro, the all-in-one workspace that's about to revolutionize how you get things done!
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: megadose/holehe — let's break it down.
🔗 https://github.com/megadose/holehe
📝 holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
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Holehe is an Open-Source Intelligence (OSINT) tool that efficiently finds registered accounts from emails. It checks if an email is attached to an account on over 120 sites like Twitter, Instagram, and Imgur.
Key features include:
- retrieving information using the forgotten password function
- not alerting the target email
- running on
To use Holehe, you can install it via
The output is a dictionary with information like rate limits, account existence, and sometimes partially obfuscated recovery emails and phone numbers.
This tool is perfect for security researchers, OSINT investigators, and anyone interested in email reconnaissance.
One-liner takeaway: Holehe is a must-have OSINT tool that helps you uncover hidden email accounts without alerting the target.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/megadose/holehe
📝 holehe allows you to check if the mail is used on different sites like twitter, instagram and will retrieve information on sites with the forgotten password function.
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Holehe is an Open-Source Intelligence (OSINT) tool that efficiently finds registered accounts from emails. It checks if an email is attached to an account on over 120 sites like Twitter, Instagram, and Imgur.
Key features include:
- retrieving information using the forgotten password function
- not alerting the target email
- running on
Python 3To use Holehe, you can install it via
pip3 install holehe, git clone, or docker. holehe [email protected] is a simple command to run the tool. For more complex usage, you can integrate it into your Python applications.The output is a dictionary with information like rate limits, account existence, and sometimes partially obfuscated recovery emails and phone numbers.
This tool is perfect for security researchers, OSINT investigators, and anyone interested in email reconnaissance.
One-liner takeaway: Holehe is a must-have OSINT tool that helps you uncover hidden email accounts without alerting the target.
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🧠 Channel: https://t.iss.one/GithubRe
🔥 smicallef/spiderfoot is trending — and it deserves your attention.
🔗 https://github.com/smicallef/spiderfoot
📝 SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.
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SpiderFoot is an open-source intelligence (OSINT) automation tool that integrates with numerous data sources and utilizes various methods for data analysis. It offers a web-based interface and command-line functionality, all written in
Key features include over 200 modules, a
This tool can be used for both offensive and defensive purposes, such as reconnaissance or gathering information about exposed internet assets. It's highly configurable, fully documented, and has a visual interface.
The target audience includes security professionals, developers, and anyone interested in OSINT and data analysis.
Overall, SpiderFoot is a powerful tool for automating OSINT tasks and analyzing large amounts of data. With its extensive features and customization options, it's an essential tool for anyone looking to streamline their OSINT workflow: SpiderFoot is your ultimate OSINT sidekick!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/smicallef/spiderfoot
📝 SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.
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SpiderFoot is an open-source intelligence (OSINT) automation tool that integrates with numerous data sources and utilizes various methods for data analysis. It offers a web-based interface and command-line functionality, all written in
Python 3 and MIT-licensed. Key features include over 200 modules, a
YAML-configurable correlation engine, and support for CSV/JSON/GEXF export. It also has TOR integration for dark web searches and a Dockerfile for Docker-based deployments. This tool can be used for both offensive and defensive purposes, such as reconnaissance or gathering information about exposed internet assets. It's highly configurable, fully documented, and has a visual interface.
The target audience includes security professionals, developers, and anyone interested in OSINT and data analysis.
Overall, SpiderFoot is a powerful tool for automating OSINT tasks and analyzing large amounts of data. With its extensive features and customization options, it's an essential tool for anyone looking to streamline their OSINT workflow: SpiderFoot is your ultimate OSINT sidekick!
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🧠 Channel: https://t.iss.one/GithubRe
⚡ NVIDIA-NeMo/Switchyard is making waves. Here's the full picture.
🔗 https://github.com/NVIDIA-NeMo/Switchyard
📝 No description.
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Introducing Switchyard, a Rust proxy and library designed for Large Language Model (LLM) traffic management. It routes requests across multiple providers, translates between OpenAI and Anthropic APIs, records operational metrics, and provides typed, composable routing algorithms.
Main features include protocol translation, multi-backend routing, and operational metrics. You can use Switchyard as a launcher, server, or library, making it a versatile tool for managing LLM traffic.
To get started, you can choose the
Technical highlights include support for various routing strategies, such as LLM classifier, stage router, escalation router, and random routing. Switchyard also provides a simple architecture for routing and translation.
Switchyard is designed for developers and researchers working with LLMs, especially those who need to manage traffic across multiple models and providers.
In a nutshell, Switchyard is your one-stop solution for LLM traffic management - route, translate, and optimize your way to AI efficiency.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/NVIDIA-NeMo/Switchyard
📝 No description.
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Introducing Switchyard, a Rust proxy and library designed for Large Language Model (LLM) traffic management. It routes requests across multiple providers, translates between OpenAI and Anthropic APIs, records operational metrics, and provides typed, composable routing algorithms.
Main features include protocol translation, multi-backend routing, and operational metrics. You can use Switchyard as a launcher, server, or library, making it a versatile tool for managing LLM traffic.
To get started, you can choose the
launcher path to run coding agents like Claude Code or Codex through Switchyard, the server path to run Switchyard as a standalone proxy, or the library path to embed routing algorithms in your own Rust application.Technical highlights include support for various routing strategies, such as LLM classifier, stage router, escalation router, and random routing. Switchyard also provides a simple architecture for routing and translation.
Switchyard is designed for developers and researchers working with LLMs, especially those who need to manage traffic across multiple models and providers.
In a nutshell, Switchyard is your one-stop solution for LLM traffic management - route, translate, and optimize your way to AI efficiency.
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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🔍 Deep-diving into holaboss-ai/holaOS — fresh off the trending list.
🔗 https://github.com/holaboss-ai/holaOS
📝 Open-source All in One AI agent workspace. Run any agent — Claude Code, Codex — across your tools (100+ integrations + MCP), apps, browser, and files, with shared memory. Built-in models or BYOK.
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Meet holaOS, the ultimate workspace for you and your agent. It allows you to run any agent, including Claude Code, Codex, or the built-in holaOS agent, in one local-first workspace. This means you can work with multiple agents, sharing the same memory, tools, and skills, without having to switch between them.
Key features include:
- Running any agent in one workspace
- Shared memory across agents and sessions
- Support for frontier models, including Kimi K3, GLM 5.2, GPT 5.6, Claude Opus 5, and Fable 5
- Ability to bring your own model keys
- HolaApps, which allow you to install apps from the in-workspace marketplace and use them side-by-side with your agent
- Skills, integrations, and Model Context Protocol (MCP) support
Usage is straightforward: simply download and install the desktop app, and you're ready to go. The app is open-source and free to start, with optional enterprise features available.
From a technical standpoint, holaOS is built using TypeScript and Electron, and supports macOS, Windows, and Linux platforms.
The target audience for holaOS includes anyone looking for a flexible and powerful workspace for their agent, including developers, researchers, and business users.
In summary, holaOS is a game-changer for anyone working with agents, offering a flexible, powerful, and easy-to-use workspace that can be customized to meet your needs.
Get started with holaOS today and experience the power of a unified workspace for you and your agent!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/holaboss-ai/holaOS
📝 Open-source All in One AI agent workspace. Run any agent — Claude Code, Codex — across your tools (100+ integrations + MCP), apps, browser, and files, with shared memory. Built-in models or BYOK.
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Meet holaOS, the ultimate workspace for you and your agent. It allows you to run any agent, including Claude Code, Codex, or the built-in holaOS agent, in one local-first workspace. This means you can work with multiple agents, sharing the same memory, tools, and skills, without having to switch between them.
Key features include:
- Running any agent in one workspace
- Shared memory across agents and sessions
- Support for frontier models, including Kimi K3, GLM 5.2, GPT 5.6, Claude Opus 5, and Fable 5
- Ability to bring your own model keys
- HolaApps, which allow you to install apps from the in-workspace marketplace and use them side-by-side with your agent
- Skills, integrations, and Model Context Protocol (MCP) support
Usage is straightforward: simply download and install the desktop app, and you're ready to go. The app is open-source and free to start, with optional enterprise features available.
From a technical standpoint, holaOS is built using TypeScript and Electron, and supports macOS, Windows, and Linux platforms.
The target audience for holaOS includes anyone looking for a flexible and powerful workspace for their agent, including developers, researchers, and business users.
In summary, holaOS is a game-changer for anyone working with agents, offering a flexible, powerful, and easy-to-use workspace that can be customized to meet your needs.
Get started with holaOS today and experience the power of a unified workspace for you and your agent!
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🧠 Channel: https://t.iss.one/GithubRe
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🔥 kepano/obsidian-skills is trending — and it deserves your attention.
🔗 https://github.com/kepano/obsidian-skills
📝 Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
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The kepano/obsidian-skills GitHub repository offers a collection of skills designed for use with Obsidian, following the Agent Skills specification. These skills enable users to interact with Obsidian vaults, create and edit various file types, and more.
Key features include skills for Obsidian Flavored Markdown, Obsidian Bases, JSON Canvas, Obsidian CLI, and Defuddle. Users can install these skills via the marketplace, npx skills, or manual methods, depending on their preferred agent, such as Claude Code, Codex, or Open Code.
To get started, users can install the skills using
The skills are useful for developers and power users of Obsidian, providing a range of functionalities to enhance their workflow.
In a nutshell, the kepano/obsidian-skills repository is a game-changer for Obsidian users, offering a suite of skills to boost productivity and unlock new possibilities - Supercharge your Obsidian workflow with these powerful skills!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/kepano/obsidian-skills
📝 Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
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The kepano/obsidian-skills GitHub repository offers a collection of skills designed for use with Obsidian, following the Agent Skills specification. These skills enable users to interact with Obsidian vaults, create and edit various file types, and more.
Key features include skills for Obsidian Flavored Markdown, Obsidian Bases, JSON Canvas, Obsidian CLI, and Defuddle. Users can install these skills via the marketplace, npx skills, or manual methods, depending on their preferred agent, such as Claude Code, Codex, or Open Code.
To get started, users can install the skills using
npx skills add https://github.com/kepano/obsidian-skills or by following the manual installation guides for their specific agent. The skills are useful for developers and power users of Obsidian, providing a range of functionalities to enhance their workflow.
In a nutshell, the kepano/obsidian-skills repository is a game-changer for Obsidian users, offering a suite of skills to boost productivity and unlock new possibilities - Supercharge your Obsidian workflow with these powerful skills!
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🧠 Channel: https://t.iss.one/GithubRe
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🔥 3b1b/manim is trending — and it deserves your attention.
🔗 https://github.com/3b1b/manim
📝 Animation engine for explanatory math videos
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Manim is a powerful engine for creating precise programmatic animations, specifically designed for explanatory math videos. It allows users to create custom animations using Python, with features like LaTeX support,
The engine runs on
Manim is suitable for math educators, animators, and anyone looking to create engaging explanatory content. With its extensive documentation and active community, including a subreddit and Discord, users can easily find resources and support.
The project is licensed under MIT and welcomes contributions. With its flexibility and customization options, Manim is an ideal choice for creating high-quality educational content.
One-liner takeaway: Create stunning math animations with ease using Manim, the perfect tool for educators and animators alike!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/3b1b/manim
📝 Animation engine for explanatory math videos
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Manim is a powerful engine for creating precise programmatic animations, specifically designed for explanatory math videos. It allows users to create custom animations using Python, with features like LaTeX support,
FFmpeg integration, and OpenGL rendering. To get started, simply install manimgl using pip install manimgl and try out the example scenes. The engine runs on
Python 3.10 or higher and has system requirements like FFmpeg, OpenGL, and optional LaTeX. For Linux, additional dependencies like Pango are needed. Manim is suitable for math educators, animators, and anyone looking to create engaging explanatory content. With its extensive documentation and active community, including a subreddit and Discord, users can easily find resources and support.
The project is licensed under MIT and welcomes contributions. With its flexibility and customization options, Manim is an ideal choice for creating high-quality educational content.
One-liner takeaway: Create stunning math animations with ease using Manim, the perfect tool for educators and animators alike!
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🧠 Channel: https://t.iss.one/GithubRe