High-performance OpenAI-compatible API gateway and bridge for muse.ai personal AI agents, ready for 9Router multi-model integration.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/d4ncboz/museai?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/d4ncboz/museai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/d4ncboz/museai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/d4ncboz/museai?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,832
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
museai gained 10 stars in the last 30 days, about 1 a day, and now has 114. It is about 1 year old and has averaged roughly 114 stars a year. It ranks #1,832 among Python repositories and #14,527 across all languages on GitHubRepo.
Trending Record
12
DAYS ON TRENDING
#1105
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
museai has maintained a continuous presence across global trending indexes, peaking at #1105. Below is the 30-day activity profile:
💡 Overview
museai is an open-source project written in Python: High-performance OpenAI-compatible API gateway and bridge for muse.ai personal AI agents, ready for 9Router multi-model integration.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 museai⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
museai 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
Production System Integration
Embed museai into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install museai using your package manager: `pip install museai`
Initialize your project workspace or configuration file for museai.
Import museai into your codebase or invoke it directly from your terminal.
Execute your test suite or run `museai --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
d4ncboz/museai is currently ranked #14,527 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,459 | www222fff/muse2api | Python | ★ 115 | Compare ↗ |
| #14,459 | OmniJev/OneJev | Python | ★ 115 | Compare ↗ |
| #14,459 | jayleaton/glm53-tensorfold-spark | Python | ★ 115 | Compare ↗ |
| #14,459 | apromisedland/Tame_3D | Python | ★ 115 | Compare ↗ |
| #14,459 | spoopyghosty0/frameport | Python | ★ 115 | Compare ↗ |
| #14,527 | d4ncboz/museai This Project | Python | ★ 114 | |
| #14,527 | vicaya/hypertable | C++ | ★ 114 | Compare ↗ |
| #14,527 | ruby-rdf/sparql-client | Ruby | ★ 114 | Compare ↗ |
| #14,527 | mhroth/jvsthost | Java | ★ 114 | Compare ↗ |
| #14,527 | cheald/scrap | Ruby | ★ 114 | Compare ↗ |
| #14,527 | cloudkick/libcloud | Python | ★ 114 | Compare ↗ |
Frequently Asked Questions
What does museai do? +
High-performance OpenAI-compatible API gateway and bridge for muse.ai personal AI agents, ready for 9Router multi-model integration.
What language is museai written in? +
The primary language is Python. Topics include: software.
Is museai actively maintained? +
Yes, the last recorded push was on Sep 29, 2026 with 0 open issues being tracked.
How many stars does museai have? +
museai has 114 stars and 6 forks on GitHub.
How does museai rank among GitHub repositories? +
With 114 stars, d4ncboz/museai is ranked #14,527 globally across all repositories tracked on GitHubRepo and #1,832 among Python projects.
What license is museai distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
