vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm
⚡ Executive Summary & Quick Facts
Authoritative Sourcevmlx is vmlx is an open-source project written in Python: vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm..
| Repository | jjang-ai/vmlx ↗ |
|---|---|
| Primary Category | anthropic api |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 896 stars · ⑂ 96 forks · #7,195 globally |
| Maintenance | ● Active (Last commit: Oct 19, 2026) · 60 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+22
STARS · LAST 30 DAYS
1
PER DAY
#1,008
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +22 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
vmlx gained 22 stars in the last 30 days, about 1 a day, and now has 896. It is about 1 year old and has averaged roughly 896 stars a year. It ranks #1,008 among Python repositories and #7,195 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#8439
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
vmlx has maintained a continuous presence across global trending indexes, peaking at #8439. Below is the 30-day activity profile:
💡 Overview
vmlx is an open-source project written in Python: vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm.
Engineered for speed, consistency, and developer ease, it solves common hurdles in anthropic-api, kvcache-compression, kvcache-optimization. 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 Python 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
$ pip install vmlx⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
vmlx coordinates its core functionality through a modular Python 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 vmlx.
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 vmlx using your package manager: `pip install vmlx`
Initialize your project workspace or configuration file for vmlx.
Import vmlx into your codebase or invoke it directly from your terminal.
Execute your test suite or run `vmlx --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
jjang-ai/vmlx is currently ranked #7,195 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,186 | jmfederico/pi-web | TypeScript | ★ 898 | Compare ↗ |
| #7,191 | machine/machine.specifications | C# | ★ 897 | Compare ↗ |
| #7,191 | inline-chat/inline | TypeScript | ★ 897 | Compare ↗ |
| #7,191 | eitchtee/WYGIWYH | Python | ★ 897 | Compare ↗ |
| #7,191 | zshah101/Automated-List-Of-Summer-2027-and-Fall-2026-Tech-Internships | Python | ★ 897 | Compare ↗ |
| #7,195 | jjang-ai/vmlx This Project | Python | ★ 896 | |
| #7,195 | creationix/haml-js | JavaScript | ★ 896 | Compare ↗ |
| #7,195 | meli/meli | Rust | ★ 896 | Compare ↗ |
| #7,195 | cybertec-postgresql/pgwatch | Go | ★ 896 | Compare ↗ |
| #7,195 | lightly-ai/lightly-studio | Python | ★ 896 | Compare ↗ |
| #7,200 | yusukebe/gh-markdown-preview | Go | ★ 895 | Compare ↗ |
Frequently Asked Questions
What does vmlx do? +
vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm
What language is vmlx written in? +
The primary language is Python. Topics include: anthropic-api, kvcache-compression, kvcache-optimization, kvcache-reuse, llm.
Is vmlx actively maintained? +
Yes, the last recorded push was on Oct 19, 2026 with 60 open issues being tracked.
How many stars does vmlx have? +
vmlx has 896 stars and 96 forks on GitHub.
How does vmlx rank among GitHub repositories? +
With 896 stars, jjang-ai/vmlx is ranked #7,195 globally across all repositories tracked on GitHubRepo and #1,008 among Python projects.
What license is vmlx distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
