Home/Compare/mlx-serve vs maid

Comparison

mlx-serve vs maid

Verdict

Pick mlx-serve if focused on supporting Apple Silicon-powered macOS devices, mlx-serve provides a native and API-compatible inference service without requiring Python; pick maid if maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms.

Markdown twin · mlx-serve alternatives · maid alternatives

GraphCanon updated Aug 14, 2026

14views this month

mlx-serve logo

mlx-serve

ddalcu/mlx-serve

589pushed Aug 12, 2026
vs
maid logo

maid

Mobile-Artificial-Intelligence/maid

2.6kpushed Jul 23, 2026

Trust & integrity

Signalmlx-servemaid
Maintenance
Very active (0d since push)
As of Jul 15, 2026 · github_public_v1
Active (21d since push)
As of Aug 14, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Jul 15, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 14, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

mlx-serve
Native LLM inference server for Apple Silicon
maid
Maid is an open-source app for interfacing with various LLM models both locally and remotely, supporting platforms such as Android.

Stars

mlx-serve
589
maid
2.6k

Forks

mlx-serve
43
maid
278

Open issues

mlx-serve
11
maid
10

Language

mlx-serve
Zig
maid
TypeScript

Adopt for

mlx-serve
Focused on supporting Apple Silicon-powered macOS devices, mlx-serve provides a native and API-compatible inference service without requiring Python.
maid
Maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms.

Persona

mlx-serve
-
maid
-

Runtime

mlx-serve
-
maid
-

License

mlx-serve
MIT
maid
MIT

Last pushed

mlx-serve
Aug 12, 2026
maid
Jul 23, 2026

Categories

mlx-serve
Inference & Serving
maid
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

mlx-serve
Very active (96%)
maid
Active (82%)

Days since push

mlx-serve
0d
maid
21d

Open issues (now)

mlx-serve
11
maid
10

Owner type

mlx-serve
User
maid
Organization

Full report

mlx-serve
Trust report

Choose mlx-serve if…

  • mlx-serve is primarily Zig; maid is TypeScript.
  • Requirements: Requires Apple Silicon-powered macOS devices to ensure optimal performance and compatibility..
  • Tags unique to mlx-serve: agent, anthropic-api, apple-silicon, deepseek-v4.
  • Use when your project requires running large language model (LLM) inferencing natively on Apple Silicon hardware.

When NOT to use mlx-serve

  • 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.
  • This tool might not be suitable if Python integration is crucial in your project.

Choose maid if…

  • maid is primarily TypeScript; mlx-serve is Zig.
  • Tags unique to maid: android, anthropic, chatbot, deepseek.
  • Also covers LLM Frameworks.
  • Need to interface with diversified language models on Android devices.

When NOT to use maid

  • Require a native app for another operating system beyond Android.
  • Demand exclusive remote or local model capabilities, not both.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: mlx-serve 589 · maid 2.6k (synced Aug 13, 2026).

Common questions

What is the difference between mlx-serve and maid?
mlx-serve: Native LLM inference server for Apple Silicon. maid: Maid is an open-source app for interfacing with various LLM models both locally and remotely, supporting platforms such as Android.. See the comparison table for live GitHub stats and shared categories.
When should I choose mlx-serve over maid?
Choose mlx-serve over maid when mlx-serve is primarily Zig; maid is TypeScript; Requirements: Requires Apple Silicon-powered macOS devices to ensure optimal performance and compatibility.; Tags unique to mlx-serve: agent, anthropic-api, apple-silicon, deepseek-v4; Use when your project requires running large language model (LLM) inferencing natively on Apple Silicon hardware.
When should I choose maid over mlx-serve?
Choose maid over mlx-serve when maid is primarily TypeScript; mlx-serve is Zig; Tags unique to maid: android, anthropic, chatbot, deepseek; Also covers LLM Frameworks; Need to interface with diversified language models on Android devices.
When should I avoid mlx-serve?
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. This tool might not be suitable if Python integration is crucial in your project.
When should I avoid maid?
Require a native app for another operating system beyond Android. Demand exclusive remote or local model capabilities, not both.
Is mlx-serve or maid more popular on GitHub?
maid has more GitHub stars (2,632 vs 589). Stars measure visibility, not whether either tool fits your constraints.
Are mlx-serve and maid open source?
Yes - both are open-source projects on GitHub (mlx-serve: MIT, maid: MIT).
Where can I find alternatives to mlx-serve or maid?
GraphCanon lists graph-backed alternatives at mlx-serve alternatives and maid alternatives (mlx-serve markdown twin, maid markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, mlx-serve or maid?
mlx-serve: Very active. maid: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for mlx-serve and maid?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mlx-serve trust report; maid trust report.

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