GraphCanon updated Aug 13, 2026 · GitHub synced Aug 13, 2026
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Decision brief
Focused on supporting Apple Silicon-powered macOS devices, mlx-serve provides a native and API-compatible inference service without requiring Python.
Good fit when
- Use when your project requires running large language model (LLM) inferencing natively on Apple Silicon hardware.
- Prefer this tool if your development environment is restricted to macOS systems and you aim for high performance.
Avoid when
- Avoid if your infrastructure does not include devices with Apple Silicon chips, as it is specifically optimized for this architecture.
- Do not use if you require cross-platform compatibility as mlx-serve targets macOS exclusively.
- Requirements:
- Requires Apple Silicon-powered macOS devices to ensure optimal performance and compatibility.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Jul 15, 2026
- Provenance
- Not a fork · Personal account
- As of Jul 15, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/ddalcu/mlx-serveSimilar 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
Offers an OpenAI and Anthropic API-compatible inference server built in Zig for macOS devices with Apple Silicon chips, featuring an MLX Core app for chat and agent functionalities
Capability facts
- Languages
- zig
Source: github.language · Jul 17, 2026
Categories
Tags
README
Install via Homebrew License MIT, see LICENSE. mlx serve bundles third party code that stays under its own license, including some Apache 2.0 Metal kernels and the Jinja engine that renders chat templates. NOTICE lists all of it with the required attributions, and LICENSE APACHE...
For agents
This page has a .md twin and JSON over the API.