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
⚡ msitarzewski/agency-agents is making waves. Here's the full picture.
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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Welcome to The Agency, a collection of AI agent personalities that can transform your workflow. Each agent is specialized in their domain, has a unique personality, and is production-ready. The Agency offers a range of agents, including
You can use The Agency in various ways, including:
* Installing the
* Using the command line to install agents into your tools.
* Browsing the agents and copying/adapting the ones you need.
The Agency is technical highlight is its ability to provide deliverable-focused agents that can help you with real code, processes, and measurable outcomes. The Agency is suitable for developers, engineers, and anyone looking to streamline their workflow and improve productivity.
One-liner takeaway: Transform your workflow with The Agency's specialized AI agents, and never sleep on innovation again!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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Welcome to The Agency, a collection of AI agent personalities that can transform your workflow. Each agent is specialized in their domain, has a unique personality, and is production-ready. The Agency offers a range of agents, including
Frontend Developer, Backend Architect, and AI Engineer, each with their own strengths and expertise.You can use The Agency in various ways, including:
* Installing the
Agency Agents app, which allows you to browse and install agents into your preferred tools, such as Claude Code, Cursor, or Codex.* Using the command line to install agents into your tools.
* Browsing the agents and copying/adapting the ones you need.
The Agency is technical highlight is its ability to provide deliverable-focused agents that can help you with real code, processes, and measurable outcomes. The Agency is suitable for developers, engineers, and anyone looking to streamline their workflow and improve productivity.
One-liner takeaway: Transform your workflow with The Agency's specialized AI agents, and never sleep on innovation again!
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🧠 Channel: https://t.iss.one/GithubRe
🔥 Lightricks/LTX-2 is trending — and it deserves your attention.
🔗 https://github.com/Lightricks/LTX-2
📝 Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
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The Lightricks/LTX-2 GitHub repository introduces the LTX-2 model, a cutting-edge DiT-based audio-video foundation model that incorporates all core capabilities of modern video generation in one model. This includes synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access.
To get started, users can
From a technical standpoint, LTX-2 boasts an array of impressive features, including diffusion-based video and audio VAEs, text encoders, and spatial upscalers. The model is designed to be highly flexible, with support for various pipelines, such as
The target audience for LTX-2 appears to be developers, researchers, and content creators interested in exploring the latest advancements in video generation technology. With its extensive documentation, pre-trained models, and open-access policy, the Lightricks/LTX-2 repository is an invaluable resource for anyone looking to push the boundaries of audio-video production.
In short, LTX-2 is a game-changer for video generation, and its impact will be felt across various industries - get ready to revolutionize your video content creation with LTX-2!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/Lightricks/LTX-2
📝 Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
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The Lightricks/LTX-2 GitHub repository introduces the LTX-2 model, a cutting-edge DiT-based audio-video foundation model that incorporates all core capabilities of modern video generation in one model. This includes synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access.
To get started, users can
git clone the repository, install dependencies with uv sync --extra natten, and download the required models from Hugging Face. The repository provides a Quick Start guide, which demonstrates how to generate videos using the distilled model and pipeline.From a technical standpoint, LTX-2 boasts an array of impressive features, including diffusion-based video and audio VAEs, text encoders, and spatial upscalers. The model is designed to be highly flexible, with support for various pipelines, such as
DistilledPipeline, DFRPipeline, and TI2VidTwoStagesPipeline, each offering unique capabilities and trade-offs between speed and quality.The target audience for LTX-2 appears to be developers, researchers, and content creators interested in exploring the latest advancements in video generation technology. With its extensive documentation, pre-trained models, and open-access policy, the Lightricks/LTX-2 repository is an invaluable resource for anyone looking to push the boundaries of audio-video production.
In short, LTX-2 is a game-changer for video generation, and its impact will be felt across various industries - get ready to revolutionize your video content creation with LTX-2!
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🧠 Channel: https://t.iss.one/GithubRe
🌟 lightningpixel/modly caught my eye on GitHub Trending today.
🔗 https://github.com/lightningpixel/modly
📝 Desktop app to generate 3D models from images using local AI — runs entirely on your GPU
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Modly is a local, open source, AI-powered image-to-3D mesh generation tool that turns any photo into a 3D model using open source AI models running entirely on your GPU. It's a desktop application for Windows, Linux, and Apple Silicon macOS.
Key features include
To get started, simply
The tool is designed for developers, 3D artists, and anyone interested in AI-powered 3D modeling. With its user-friendly interface and extensive documentation, Modly is an excellent choice for those looking to explore the world of 3D modeling.
One-liner takeaway: Transform your photos into stunning 3D models with Modly, the local, open-source, AI-powered 3D mesh generation tool!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/lightningpixel/modly
📝 Desktop app to generate 3D models from images using local AI — runs entirely on your GPU
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Modly is a local, open source, AI-powered image-to-3D mesh generation tool that turns any photo into a 3D model using open source AI models running entirely on your GPU. It's a desktop application for Windows, Linux, and Apple Silicon macOS.
Key features include
AI-powered 3D mesh generation, extension system for external model and process extensions, and a CLI for automation. To get started, simply
download the latest installer, install JS dependencies with npm install, and set up the Python backend. You can then run Modly in development with npm run dev and start experimenting with its features.The tool is designed for developers, 3D artists, and anyone interested in AI-powered 3D modeling. With its user-friendly interface and extensive documentation, Modly is an excellent choice for those looking to explore the world of 3D modeling.
One-liner takeaway: Transform your photos into stunning 3D models with Modly, the local, open-source, AI-powered 3D mesh generation tool!
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: infiniflow/ragflow — let's break it down.
🔗 https://github.com/infiniflow/ragflow
📝 RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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The RAGFlow project on GitHub is an open-source Retrieval-Augmented Generation engine that combines cutting-edge RAG with Agent capabilities. It offers a streamlined RAG workflow adaptable to enterprises of any scale. The key features of RAGFlow include deep document understanding, template-based chunking, grounded citations with reduced hallucinations, and compatibility with heterogeneous data sources.
To get started with RAGFlow, you can try the cloud service at
The primary
Overall, RAGFlow is a powerful tool for anyone looking to harness the potential of Retrieval-Augmented Generation. So, why wait? Dive into RAGFlow and unlock the full potential of your AI systems today!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/infiniflow/ragflow
📝 RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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The RAGFlow project on GitHub is an open-source Retrieval-Augmented Generation engine that combines cutting-edge RAG with Agent capabilities. It offers a streamlined RAG workflow adaptable to enterprises of any scale. The key features of RAGFlow include deep document understanding, template-based chunking, grounded citations with reduced hallucinations, and compatibility with heterogeneous data sources.
To get started with RAGFlow, you can try the cloud service at
https://cloud.ragflow.io or self-host the server using Docker. The project has a system architecture that includes a converged context engine and pre-built agent templates. RAGFlow enables developers to transform complex data into high-fidelity, production-ready AI systems with exceptional efficiency and precision. The primary
audience for RAGFlow appears to be developers and enterprises looking to leverage the power of RAG and Agent capabilities to create superior context layers for LLMs. Overall, RAGFlow is a powerful tool for anyone looking to harness the potential of Retrieval-Augmented Generation. So, why wait? Dive into RAGFlow and unlock the full potential of your AI systems today!
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🧠 Channel: https://t.iss.one/GithubRe
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