Project Maya - run GLM-5.3-Flash (321B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
⚡ Executive Summary & Quick Facts
Authoritative Sourceproject-maya is project-maya is an open-source project written in C++: Project Maya - run GLM-5.3-Flash (321B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools..
| Repository | mw00/project-maya ↗ |
|---|---|
| Primary Category | cuda |
| Language & Stack | C++ |
| Software License | MIT |
| Community Traction | ★ 1.1K stars · ⑂ 138 forks · #6,241 globally |
| Maintenance | ● Active (Last commit: Oct 16, 2026) · 72 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+26
STARS · LAST 30 DAYS
1
PER DAY
#495
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +26 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
project-maya gained 26 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 1 year old and has averaged roughly 1.1K stars a year. It ranks #495 among C++ repositories and #6,241 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#441
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
project-maya has maintained a continuous presence across global trending indexes, peaking at #441. Below is the 30-day activity profile:
💡 Overview
project-maya is an open-source project written in C++: Project Maya - run GLM-5.3-Flash (321B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, glm, glm-5. 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/mw00/project-maya.git
cd project-maya⚙ 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
project-maya 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 project-maya.
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 project-maya using your package manager: `git clone https://github.com/mw00/project-maya.git`
Initialize your project workspace or configuration file for project-maya.
Import project-maya into your codebase or invoke it directly from your terminal.
Execute your test suite or run `project-maya --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
mw00/project-maya is currently ranked #6,241 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
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| #6,237 | pgplex/pgschema | Go | ★ 1.1K | Compare ↗ |
| #6,241 | mw00/project-maya This Project | C++ | ★ 1.1K | |
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Frequently Asked Questions
What does project-maya do? +
Project Maya - run GLM-5.3-Flash (321B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
What language is project-maya written in? +
The primary language is C++. Topics include: cuda, glm, glm-5, llm, llm-inference.
Is project-maya actively maintained? +
Yes, the last recorded push was on Oct 16, 2026 with 72 open issues being tracked.
How many stars does project-maya have? +
project-maya has 1,058 stars and 138 forks on GitHub.
How does project-maya rank among GitHub repositories? +
With 1,058 stars, mw00/project-maya is ranked #6,241 globally across all repositories tracked on GitHubRepo and #495 among C++ projects.
What license is project-maya distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
