GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
M-Courtyard is a specialized tool for local AI model fine-tuning on Apple Silicon devices that emphasizes privacy and offers a zero-code interface.
Good fit when
- Use M-Courtyard when you need to fine-tune AI models locally without cloud dependencies, especially if your workflow is entirely on Apple Silicon hardware like Macs.
- Consider it for projects prioritizing data privacy where sensitive model training processes should remain untouched by external servers.
Avoid when
- Avoid using M-Courtyard if you are working with devices that do not run on Apple Silicon as it is designed specifically for these hardware configurations.
- Do not use this tool if your project requires cloud integration or relies heavily on collaborative features since M-Courtyard operates strictly in a zero-cloud environment.
- Requirements:
- Specific system requirements for the hardware and OS are not provided but considering its tagline, it is intended for Apple Silicon devices such as newer Macs.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (71d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install m-courtyardSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A zero-code, privacy-first desktop app for local model fine-tuning on Apple Silicon devices.
Capability facts
- Languages
- typescript
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
- **Core Runtime**: M-Courtyard guides the local `uv` / Python / `mlx-lm` setup inside the appSource link
Tags
README
Requirements OS : macOS 14+ (Sonoma or later) Chip : Apple Silicon (M1 / M2 / M3 / M4 series) RAM : 16 GB+ recommended (for 7B/8B models); 8 GB works for small models (1.5B/3B) Core Runtime : M Courtyard guides the local / Python / setup inside the app Optional Local Runtime : Ol...
For agents
This page has a .md twin and JSON over the API.