Skip to content
Back to the index

mac-ai-doctor

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 11 Jul 2026. How this is checked

mac-ai-doctor is an open-source CLI tool that estimates whether local AI models will fit in unified memory on Apple Silicon devices. It helps AI developers analyze model requirements and optimize deployments for ML workloads on macOS hardware.

Inferred · not functionally tested

Open SourceMITCLI
Visit PyPI

Overview

4 features

Purpose: Determining if local AI models will fit in unified memory on Apple Silicon devices before running them.

Inferred · not functionally tested

Audience: AI developers using Apple Silicon

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

mac-ai-doctor is a CLI tools & terminal project. Inferred · not functionally tested: It focuses on determining if local AI models will fit in unified memory on Apple Silicon devices before running them. Inferred · not functionally tested: It is built as an open-source project for AI developers using Apple Silicon. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line.

mac-ai-doctor first shipped in 2026. The project is developed in the open on GitHub with 6 commits in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are memory fit estimation, Apple Silicon support, and local model analysis.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Memory fit estimation
  • Apple Silicon support
  • Local model analysis
  • Unified-memory reporting

Topics: Inferred · not functionally tested

Tags
unified-memoryapple-siliconlocal-llmmodel-fit-estimation
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about mac-ai-doctor

What does mac-ai-doctor do?
Inferred · not functionally tested: Mac-ai-doctor focuses on determining if local AI models will fit in unified memory on Apple Silicon devices before running them. It is catalogued under CLI tools & terminal on PulseGate.
Who is mac-ai-doctor for?
Inferred · not functionally tested: mac-ai-doctor is an open-source project built for AI developers using Apple Silicon.
Is mac-ai-doctor free?
Basis unknown · not verified: Yes — mac-ai-doctor is open source under the MIT license and free to use.
What platforms does mac-ai-doctor run on?
Basis unknown · not verified: mac-ai-doctor runs on the command line.
Is mac-ai-doctor still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 6 commits in the last 90 days.
When did mac-ai-doctor launch?
mac-ai-doctor first shipped in 2026.
Is mac-ai-doctor open source?
Basis unknown · not verified: Yes — mac-ai-doctor is open source under the MIT license, developed on GitHub.

Similar projects

Closest matches by what these projects do