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+10
STARS · LAST 30 DAYS
1
PER DAY
#447
MOST-STARRED C#
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +2 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
RhinoAI gained 10 stars in the last 30 days, about 1 a day, and now has 322. It is about 1 year old and has averaged roughly 322 stars a year. It ranks #447 among C# repositories and #8,011 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#1253
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
RhinoAI has maintained a continuous presence across global trending indexes, peaking at #1253. Below is the 30-day activity profile:
💡 Overview
RhinoAI is an open-source project written in C#: AI features for Rhino.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, mcp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C# for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/mcneel/RhinoAI.git
cd RhinoAI⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C# environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
RhinoAI coordinates its core functionality through a modular C# pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with RhinoAI.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install RhinoAI using your package manager: `git clone https://github.com/mcneel/RhinoAI.git`
Initialize your project workspace or configuration file for RhinoAI.
Import RhinoAI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `RhinoAI --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C#, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
mcneel/RhinoAI is currently ranked #8,011 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,999 | automuteus/amonguscapture | C# | ★ 323 | Compare ↗ |
| #7,999 | TcMenu/tcMenu | Java | ★ 323 | Compare ↗ |
| #7,999 | unacms/UNA | PHP | ★ 323 | Compare ↗ |
| #7,999 | janv/rest_in_place | JavaScript | ★ 323 | Compare ↗ |
| #7,999 | Whispergate/InfraGuard | Python | ★ 323 | Compare ↗ |
| #8,011 | mcneel/RhinoAI This Project | C# | ★ 322 | |
| #8,011 | ai-shifu/ai-shifu | Python | ★ 322 | Compare ↗ |
| #8,011 | monome/libmonome | C | ★ 322 | Compare ↗ |
| #8,011 | cloudhead/journey | JavaScript | ★ 322 | Compare ↗ |
| #8,011 | jpmobile/jpmobile | Ruby | ★ 322 | Compare ↗ |
| #8,011 | morbac/xmltools | C++ | ★ 322 | Compare ↗ |
Frequently Asked Questions
What does RhinoAI do? +
AI features for Rhino
What language is RhinoAI written in? +
The primary language is C#. Topics include: agent, ai, mcp.
Is RhinoAI actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 16 open issues being tracked.
How many stars does RhinoAI have? +
RhinoAI has 322 stars and 54 forks on GitHub.
How does RhinoAI rank among GitHub repositories? +
With 322 stars, mcneel/RhinoAI is ranked #8,011 globally across all repositories tracked on GitHubRepo and #447 among C# projects.
What license is RhinoAI distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
