Conceptual-Machines/magda-core
An open ecosystem for music production.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#678
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 |
magda-core gained 10 stars in the last 30 days, about 1 a day, and now has 229. It is about 1 year old and has averaged roughly 229 stars a year. It ranks #678 among C++ repositories and #8,878 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#8415
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
magda-core has maintained a continuous presence across global trending indexes, peaking at #8415. Below is the 30-day activity profile:
💡 Overview
magda-core is an open-source project written in C++: An open ecosystem for music production.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, audio-plugin. 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/Conceptual-Machines/magda-core.git
cd magda-core⚙ 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
magda-core 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 magda-core.
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 magda-core using your package manager: `git clone https://github.com/Conceptual-Machines/magda-core.git`
Initialize your project workspace or configuration file for magda-core.
Import magda-core into your codebase or invoke it directly from your terminal.
Execute your test suite or run `magda-core --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
Conceptual-Machines/magda-core is currently ranked #8,878 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,866 | lightning-uq-box/lightning-uq-box | Python | ★ 230 | Compare ↗ |
| #8,866 | aplus-framework/http-client | PHP | ★ 230 | Compare ↗ |
| #8,866 | mesqueeb/vuex-easy-firestore | JavaScript | ★ 230 | Compare ↗ |
| #8,866 | ActiveCampaign/postmark-gem | Ruby | ★ 230 | Compare ↗ |
| #8,866 | leandrocp/lumis | Rust | ★ 230 | Compare ↗ |
| #8,878 | Conceptual-Machines/magda-core This Project | C++ | ★ 229 | |
| #8,878 | alpha-omega-security/scrutineer | Go | ★ 229 | Compare ↗ |
| #8,878 | erector/erector | Ruby | ★ 229 | Compare ↗ |
| #8,878 | cardmagic/simple-rss | Ruby | ★ 229 | Compare ↗ |
| #8,878 | liamks/libpytunes | Python | ★ 229 | Compare ↗ |
| #8,878 | apache/xmlgraphics-fop | Java | ★ 229 | Compare ↗ |
Frequently Asked Questions
What does magda-core do? +
An open ecosystem for music production.
What language is magda-core written in? +
The primary language is C++. Topics include: ai, ai-agents, audio-plugin, cpp23, cross-platform.
Is magda-core actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 106 open issues being tracked.
How many stars does magda-core have? +
magda-core has 229 stars and 27 forks on GitHub.
How does magda-core rank among GitHub repositories? +
With 229 stars, Conceptual-Machines/magda-core is ranked #8,878 globally across all repositories tracked on GitHubRepo and #678 among C++ projects.
What license is magda-core distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
