Star History
Momentum
+19
STARS · LAST 30 DAYS
1
PER DAY
#229
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +19 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
MOSS-VL gained 19 stars in the last 30 days, about 1 a day, and now has 740. It is about 1 year old and has averaged roughly 740 stars a year. It ranks #229 among C++ repositories and #3,110 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#3135
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
MOSS-VL has maintained a continuous presence across global trending indexes, peaking at #3135. Below is the 30-day activity profile:
💡 Overview
MOSS-VL is an open-source project written in C++: An open-weight 11B model series for long-form and real-time video understanding.
Engineered for speed, consistency, and developer ease, it solves common hurdles in llms, long-video-understanding, multimodal. 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/OpenMOSS/MOSS-VL.git
cd MOSS-VL⚙ 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
MOSS-VL 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 MOSS-VL.
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 MOSS-VL using your package manager: `git clone https://github.com/OpenMOSS/MOSS-VL.git`
Initialize your project workspace or configuration file for MOSS-VL.
Import MOSS-VL into your codebase or invoke it directly from your terminal.
Execute your test suite or run `MOSS-VL --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
OpenMOSS/MOSS-VL is currently ranked #3,110 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,105 | asokurasu/text-humanizer | Python | ★ 743 | Compare ↗ |
| #3,106 | signal18/replication-manager | Go | ★ 742 | Compare ↗ |
| #3,106 | bitcoin-core/gui | C++ | ★ 742 | Compare ↗ |
| #3,108 | jksalcedo/librefind | Kotlin | ★ 741 | Compare ↗ |
| #3,108 | Niko1221/Strata | C++ | ★ 741 | Compare ↗ |
| #3,110 | OpenMOSS/MOSS-VL This Project | C++ | ★ 740 | |
| #3,110 | nextcloud/notes | JavaScript | ★ 740 | Compare ↗ |
| #3,110 | Azure/bicep-registry-modules | Bicep | ★ 740 | Compare ↗ |
| #3,110 | eerimoq/moblin | Swift | ★ 740 | Compare ↗ |
| #3,110 | ProdigyV21/ARVIO | Kotlin | ★ 740 | Compare ↗ |
| #3,115 | FooBarWidget/default_value_for | Ruby | ★ 737 | Compare ↗ |
Frequently Asked Questions
What does MOSS-VL do? +
An open-weight 11B model series for long-form and real-time video understanding
What language is MOSS-VL written in? +
The primary language is C++. Topics include: llms, long-video-understanding, multimodal, multimodal-ai, real-time-ai.
Is MOSS-VL actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 8 open issues being tracked.
How many stars does MOSS-VL have? +
MOSS-VL has 740 stars and 35 forks on GitHub.
How does MOSS-VL rank among GitHub repositories? +
With 740 stars, OpenMOSS/MOSS-VL is ranked #3,110 globally across all repositories tracked on GitHubRepo and #229 among C++ projects.
What license is MOSS-VL distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
