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maid

Mobile-Artificial-Intelligence/maid

Maid is an open-source app for interfacing with various LLM models both locally and remotely, supporting platforms such as Android.

GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026

20views this month

2.6k stars278 forksLast push Jul 23, 2026 TypeScript MIT

Decision brief

Maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms.

Good fit when

  • Need to interface with diversified language models on Android devices.
  • Developing in TypeScript, seeking MIT-licensed projects.

Avoid when

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

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (2,632) are secondary evidence.

npm downloads (30d)
1,548·npm downloads API·Aug 14, 2026

Maintenance and security

Full trust report
Maintenance
Active (21d since push)
As of Aug 14, 2026
Provenance
Not a fork · Organization account
As of Aug 14, 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 maid
npm

Similar 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

An application that allows users to interact with different language model APIs and local llama.cpp models from mobile devices.

Capability facts

CLI
CLI entrypoint

Source: package.json:bin|scripts · Aug 14, 2026

MCP server
No MCP server detected

Source: repo_scan · Aug 14, 2026

Languages
typescript, javascript

Source: github.language+package.json · Aug 14, 2026

Categories

Tags

README

License This project is licensed under the MIT License.

For agents

This page has a .md twin and JSON over the API.

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