Github Top Repositories
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🔥 holaboss-ai/holaOS is trending — and it deserves your attention.
🔗 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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Introducing holaOS, the ultimate workspace for you and your agent. This innovative platform allows you to run any agent, including Claude Code, Codex, or the built-in holaOS agent, in one local-first workspace. With
Key Features:
- Run any agent in one workspace
- Shared memory and tools across agents
- Local-first approach with editable files
- Built-in frontier models with option to bring your own keys
- HolaApps for interactive surfaces and agent-driven apps
Technical Highlights:
- Electron desktop app
- TypeScript runtime
- Modified Apache 2.0 license
Audience:
- Developers looking for a flexible and efficient workspace
- Users who want to leverage the power of AI agents
- Anyone interested in a local-first approach with editable files
To get started, you can use the
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🔗 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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Introducing holaOS, the ultimate workspace for you and your agent. This innovative platform allows you to run any agent, including Claude Code, Codex, or the built-in holaOS agent, in one local-first workspace. With
holaOS, you can share the same memory, tools, and skills across different agents, ensuring consistent results and eliminating the need to rebuild your setup every time.Key Features:
- Run any agent in one workspace
- Shared memory and tools across agents
- Local-first approach with editable files
- Built-in frontier models with option to bring your own keys
- HolaApps for interactive surfaces and agent-driven apps
Technical Highlights:
- Electron desktop app
- TypeScript runtime
- Modified Apache 2.0 license
Audience:
- Developers looking for a flexible and efficient workspace
- Users who want to leverage the power of AI agents
- Anyone interested in a local-first approach with editable files
To get started, you can use the
One-Line Install script or follow the manual installation steps. With holaOS, you can unlock the full potential of your agents and workflow. So, what are you waiting for? Upgrade your workflow with holaOS today and experience the future of productivity!──────────────────────────────
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Github Top Repositories
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🎯 github/spec-kit landed on trending. Worth a proper look.
🔗 https://github.com/github/spec-kit
📝 💫 Toolkit to help you get started with Spec-Driven Development
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Spec Kit is an open-source toolkit that helps you build high-quality software with any AI coding agent. It flips the script on traditional development by making specifications executable, generating working implementations directly.
Key features include:
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-
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It's endlessly extensible with
The toolkit supports 30+ AI coding agents and has a
Spec Kit is perfect for developers who want to define what to build before building it, and is suitable for whole organizations.
One-liner takeaway: With Spec Kit, you can build high-quality software faster by making your specifications executable.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/github/spec-kit
📝 💫 Toolkit to help you get started with Spec-Driven Development
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Spec Kit is an open-source toolkit that helps you build high-quality software with any AI coding agent. It flips the script on traditional development by making specifications executable, generating working implementations directly.
Key features include:
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specify init to initialize a project-
/speckit.constitution to create project principles-
/speckit.specify to define what you want to build-
/speckit.plan to choose your tech stack-
/speckit.tasks to generate actionable tasks-
/speckit.implement to execute tasks and build your featureIt's endlessly extensible with
extensions and presets, and has a community-driven approach with contributed resources. The toolkit supports 30+ AI coding agents and has a
Specify CLI for easy usage. Spec Kit is perfect for developers who want to define what to build before building it, and is suitable for whole organizations.
One-liner takeaway: With Spec Kit, you can build high-quality software faster by making your specifications executable.
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🧠 Channel: https://t.iss.one/GithubRe
🔍 Deep-diving into lightningpixel/modly — fresh off the trending list.
🔗 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 groundbreaking, open-source, AI-powered image-to-3D mesh generation tool that runs entirely on your GPU. This innovative desktop application is available for Windows, Linux, and Apple Silicon macOS.
To get started with Modly, you can download the latest installer from the
One of the key features of Modly is its extension system, which supports external model and process extensions. You can install extensions from GitHub repositories, and each extension includes a
Modly also has a command-line interface (CLI) that allows agents and scripts to interact with the application without using the UI. The CLI provides a range of commands, including
The application is designed for developers, 3D artists, and anyone interested in AI-powered 3D modeling. With its MIT License, Modly is free to use and modify, making it an excellent choice for open-source enthusiasts.
Overall, Modly is a powerful tool that can revolutionize the way you create 3D models. With its ease of use, flexibility, and customizability, Modly is an excellent choice for anyone looking to explore the world of AI-powered 3D modeling.
Modly - Revolutionizing 3D modeling, one image at a time!
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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 groundbreaking, open-source, AI-powered image-to-3D mesh generation tool that runs entirely on your GPU. This innovative desktop application is available for Windows, Linux, and Apple Silicon macOS.
To get started with Modly, you can download the latest installer from the
Releases page or clone the repository and run it directly. The application has a user-friendly interface that allows you to turn any photo into a 3D model. One of the key features of Modly is its extension system, which supports external model and process extensions. You can install extensions from GitHub repositories, and each extension includes a
manifest.json file and the required runtime entry files.Modly also has a command-line interface (CLI) that allows agents and scripts to interact with the application without using the UI. The CLI provides a range of commands, including
health, model, and workflow-run, which can be used to automate tasks and integrate Modly with other tools.The application is designed for developers, 3D artists, and anyone interested in AI-powered 3D modeling. With its MIT License, Modly is free to use and modify, making it an excellent choice for open-source enthusiasts.
Overall, Modly is a powerful tool that can revolutionize the way you create 3D models. With its ease of use, flexibility, and customizability, Modly is an excellent choice for anyone looking to explore the world of AI-powered 3D modeling.
Modly - Revolutionizing 3D modeling, one image at a time!
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Github Top Repositories
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🚀 Meet infiniflow/ragflow: a gem from today's GitHub trending list.
🔗 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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RAGFlow is a cutting-edge, open-source Retrieval-Augmented Generation (RAG) engine that offers a streamlined workflow for creating high-fidelity AI systems. With its converged context engine and pre-built agent templates, RAGFlow enables developers to transform complex data into production-ready AI systems with exceptional efficiency and precision.
Key features include deep document understanding, template-based chunking, and grounded citations with reduced hallucinations. The system supports heterogeneous data sources and offers automated and effortless RAG workflow.
To get started, users can try the cloud service or self-host the system using
The target audience for RAGFlow includes developers, data scientists, and businesses looking to create high-fidelity AI systems. With its intuitive APIs and streamlined workflow, RAGFlow is an ideal solution for those looking to leverage the power of RAG technology.
In short, RAGFlow is a game-changer for AI development, and its ability to fuse cutting-edge RAG with agent capabilities makes it a must-try for anyone looking to create superior context layers for LLMs: Transform your data into intelligent AI systems with RAGFlow - the future of AI is here!
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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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RAGFlow is a cutting-edge, open-source Retrieval-Augmented Generation (RAG) engine that offers a streamlined workflow for creating high-fidelity AI systems. With its converged context engine and pre-built agent templates, RAGFlow enables developers to transform complex data into production-ready AI systems with exceptional efficiency and precision.
Key features include deep document understanding, template-based chunking, and grounded citations with reduced hallucinations. The system supports heterogeneous data sources and offers automated and effortless RAG workflow.
To get started, users can try the cloud service or self-host the system using
docker compose. The system architecture is designed for scalability and flexibility, with a configurable LLM and embedding models. The target audience for RAGFlow includes developers, data scientists, and businesses looking to create high-fidelity AI systems. With its intuitive APIs and streamlined workflow, RAGFlow is an ideal solution for those looking to leverage the power of RAG technology.
In short, RAGFlow is a game-changer for AI development, and its ability to fuse cutting-edge RAG with agent capabilities makes it a must-try for anyone looking to create superior context layers for LLMs: Transform your data into intelligent AI systems with RAGFlow - the future of AI is here!
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🧠 Channel: https://t.iss.one/GithubRe
🌟 cursor/plugins caught my eye on GitHub Trending today.
🔗 https://github.com/cursor/plugins
📝 Cursor plugin specification and official plugins
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The Cursor plugins repository is a collection of official plugins for various developer tools, frameworks, and SaaS products. These plugins are designed to extend the functionality of the Cursor platform, providing a range of features such as incremental learning, team workflows, and security audits.
Key features of the repository include a wide range of plugins, each with its own manifest and directory, making it easy to manage and install them. The plugins are categorized into different groups, including Developer Tools, Productivity, and Integrations, making it easy to find the one that suits your needs.
To use these plugins, you can simply navigate to the repository, find the plugin you need, and follow the installation instructions. Each plugin has its own
From a technical perspective, the repository is well-structured, with each plugin having its own directory and manifest file. The plugins are built using a variety of technologies, including JavaScript and TypeScript, and are designed to be highly customizable.
The repository is suitable for a wide range of audiences, including developers, DevOps teams, and businesses looking to extend the functionality of their Cursor platform.
In summary, the Cursor plugins repository is a valuable resource for anyone looking to extend the functionality of their Cursor platform. With its wide range of plugins, easy-to-use interface, and well-structured repository, it's a great place to start for anyone looking to get the most out of their Cursor experience.
You can supercharge your development workflow with these plugins - get started now!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/cursor/plugins
📝 Cursor plugin specification and official plugins
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The Cursor plugins repository is a collection of official plugins for various developer tools, frameworks, and SaaS products. These plugins are designed to extend the functionality of the Cursor platform, providing a range of features such as incremental learning, team workflows, and security audits.
Key features of the repository include a wide range of plugins, each with its own manifest and directory, making it easy to manage and install them. The plugins are categorized into different groups, including Developer Tools, Productivity, and Integrations, making it easy to find the one that suits your needs.
To use these plugins, you can simply navigate to the repository, find the plugin you need, and follow the installation instructions. Each plugin has its own
README.md file, which provides detailed information on how to install and use it.From a technical perspective, the repository is well-structured, with each plugin having its own directory and manifest file. The plugins are built using a variety of technologies, including JavaScript and TypeScript, and are designed to be highly customizable.
The repository is suitable for a wide range of audiences, including developers, DevOps teams, and businesses looking to extend the functionality of their Cursor platform.
In summary, the Cursor plugins repository is a valuable resource for anyone looking to extend the functionality of their Cursor platform. With its wide range of plugins, easy-to-use interface, and well-structured repository, it's a great place to start for anyone looking to get the most out of their Cursor experience.
You can supercharge your development workflow with these plugins - get started now!
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🧠 Channel: https://t.iss.one/GithubRe
⚡ deepseek-ai/awesome-deepseek-agent is making waves. Here's the full picture.
🔗 https://github.com/deepseek-ai/awesome-deepseek-agent
📝 No description.
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The Awesome DeepSeek Agent repo is a treasure trove of guides for integrating DeepSeek models into popular AI agent and coding-assistant tools. With over 20 tools supported, including
The repo also provides resources for getting an API key and accessing API documentation. So, what are you waiting for? Dive into the world of DeepSeek and unlock the full potential of AI-powered coding assistants - DeepSeek is the key to unlocking AI-powered coding mastery!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/deepseek-ai/awesome-deepseek-agent
📝 No description.
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The Awesome DeepSeek Agent repo is a treasure trove of guides for integrating DeepSeek models into popular AI agent and coding-assistant tools. With over 20 tools supported, including
AstrBot, Cherry Studio, and GitHub Copilot, you can easily get started with DeepSeek-V4-Pro or DeepSeek-V4-Flash in your favorite tool. The guides cover installation, configuration, and first run, making it easy to start using these powerful models in just a few minutes. Whether you're a developer or an AI enthusiast, this repo is a must-visit. Here's a sneak peek at the code:div align="center">
The repo also provides resources for getting an API key and accessing API documentation. So, what are you waiting for? Dive into the world of DeepSeek and unlock the full potential of AI-powered coding assistants - DeepSeek is the key to unlocking AI-powered coding mastery!
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Github Top Repositories
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🎯 semantica-agi/semantica landed on trending. Worth a proper look.
🔗 https://github.com/semantica-agi/semantica
📝 Graph-Native Infrastructure for Context and Accountable AI Systems
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Semantica is an open-source, graph-native infrastructure for building context and accountable AI systems. It's designed to ingest enterprise data, extract relevant information, and construct a knowledge graph with full decision provenance. Key features include polyglot graph storage, RDF and LPG support, W3C standards, and interoperability.
Technical highlights involve a deterministic reasoning engine, conflict detection, and ontology management. The platform is suitable for high-stakes, regulated domains such as finance, healthcare, and government.
To get started, simply run
In a nutshell, Semantica is the missing link between your AI agents and the context they need to make trustworthy decisions: use it to explain, to comply, and to trust your AI.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/semantica-agi/semantica
📝 Graph-Native Infrastructure for Context and Accountable AI Systems
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Semantica is an open-source, graph-native infrastructure for building context and accountable AI systems. It's designed to ingest enterprise data, extract relevant information, and construct a knowledge graph with full decision provenance. Key features include polyglot graph storage, RDF and LPG support, W3C standards, and interoperability.
Technical highlights involve a deterministic reasoning engine, conflict detection, and ontology management. The platform is suitable for high-stakes, regulated domains such as finance, healthcare, and government.
To get started, simply run
pip install semantica and explore the ContextGraph class. The platform is ideal for AI/ML platform teams, data platform teams, compliance and audit teams, and regulated enterprises. In a nutshell, Semantica is the missing link between your AI agents and the context they need to make trustworthy decisions: use it to explain, to comply, and to trust your AI.
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🧠 Channel: https://t.iss.one/GithubRe