Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#482
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
mvcc gained 10 stars in the last 30 days, about 1 a day, and now has 60. It is about 1 year old and has averaged roughly 60 stars a year. It ranks #482 among C++ repositories and #7,122 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#520
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mvcc has maintained a continuous presence across global trending indexes, peaking at #520. Below is the 30-day activity profile:
💡 Overview
mvcc is an open-source project written in C++: Compile and run CUDA on Apple M4-M5 GPUs.
Engineered for speed, consistency, and developer ease, it solves common hurdles in gpt. 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/doximity/mvcc.git
cd mvcc⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mvcc 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 mvcc.
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 mvcc using your package manager: `git clone https://github.com/doximity/mvcc.git`
Initialize your project workspace or configuration file for mvcc.
Import mvcc into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mvcc --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
doximity/mvcc is currently ranked #7,122 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,110 | coatl/rubymacros | Ruby | ★ 61 | Compare ↗ |
| #7,110 | longbridge/longbridge-lite | JavaScript | ★ 61 | Compare ↗ |
| #7,110 | xt42io/drocsid | TypeScript | ★ 61 | Compare ↗ |
| #7,110 | mayuki/ReProgman | C# | ★ 61 | Compare ↗ |
| #7,110 | Gu-kai-lei/Open-Pet-Office | JavaScript | ★ 61 | Compare ↗ |
| #7,122 | doximity/mvcc This Project | C++ | ★ 60 | |
| #7,122 | engineyard/vertebra-rb | Ruby | ★ 60 | Compare ↗ |
| #7,122 | zapnap/toopaste | Ruby | ★ 60 | Compare ↗ |
| #7,122 | dperini/nwevents | JavaScript | ★ 60 | Compare ↗ |
| #7,122 | sqs/rhino | Ruby | ★ 60 | Compare ↗ |
| #7,122 | lethain/aym-cms | Python | ★ 60 | Compare ↗ |
Frequently Asked Questions
What does mvcc do? +
Compile and run CUDA on Apple M4-M5 GPUs
What language is mvcc written in? +
The primary language is C++. Topics include: gpt.
Is mvcc actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.
How many stars does mvcc have? +
mvcc has 60 stars and 9 forks on GitHub.
How does mvcc rank among GitHub repositories? +
With 60 stars, doximity/mvcc is ranked #7,122 globally across all repositories tracked on GitHubRepo and #482 among C++ projects.
What license is mvcc distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
