llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2
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+10
STARS · LAST 30 DAYS
1
PER DAY
#667
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 |
llama_ros gained 10 stars in the last 30 days, about 1 a day, and now has 264. It is about 4 years old and has averaged roughly 66 stars a year. It ranks #667 among C++ repositories and #8,864 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#8076
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
llama_ros has maintained a continuous presence across global trending indexes, peaking at #8076. Below is the 30-day activity profile:
💡 Overview
llama_ros is an open-source project written in C++: llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2.
Engineered for speed, consistency, and developer ease, it solves common hurdles in audio, cpp, embeddings. 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/mgonzs13/llama_ros.git
cd llama_ros⚙ 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
llama_ros 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 llama_ros.
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 llama_ros using your package manager: `git clone https://github.com/mgonzs13/llama_ros.git`
Initialize your project workspace or configuration file for llama_ros.
Import llama_ros into your codebase or invoke it directly from your terminal.
Execute your test suite or run `llama_ros --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
mgonzs13/llama_ros is currently ranked #8,864 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,853 | lepton-eda/lepton-eda | C | ★ 265 | Compare ↗ |
| #8,853 | dbrady/tourbus | Ruby | ★ 265 | Compare ↗ |
| #8,853 | pullmonkey/open_flash_chart | Ruby | ★ 265 | Compare ↗ |
| #8,853 | intent-hq/intent | JavaScript | ★ 265 | Compare ↗ |
| #8,853 | benbalter/word-to-markdown-js | TypeScript | ★ 265 | Compare ↗ |
| #8,864 | mgonzs13/llama_ros This Project | C++ | ★ 264 | |
| #8,864 | technoweenie/permalink_fu | Ruby | ★ 264 | Compare ↗ |
| #8,864 | savonrb/nori | Ruby | ★ 264 | Compare ↗ |
| #8,864 | reactiveui/punchclock | C# | ★ 264 | Compare ↗ |
| #8,864 | sosy-lab/cpachecker | Java | ★ 264 | Compare ↗ |
| #8,864 | hiero-ledger/hiero-sdk-java | Java | ★ 264 | Compare ↗ |
Frequently Asked Questions
What does llama_ros do? +
llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2
What language is llama_ros written in? +
The primary language is C++. Topics include: audio, cpp, embeddings, ggml, gguf.
Is llama_ros actively maintained? +
Yes, the last recorded push was on Oct 4, 2026 with 0 open issues being tracked.
How many stars does llama_ros have? +
llama_ros has 264 stars and 49 forks on GitHub.
How does llama_ros rank among GitHub repositories? +
With 264 stars, mgonzs13/llama_ros is ranked #8,864 globally across all repositories tracked on GitHubRepo and #667 among C++ projects.
What license is llama_ros distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
