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Mobile-Artificial-Intelligence avatar

Mobile-Artificial-Intelligence/maid

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Maid

Maid is a mobile large language model chat client and local runner. It provides a unified interface for interacting with AI models via cloud APIs or by executing model files directly on mobile hardware for offline generation.

The project functions as a multi-provider manager that handles API keys and a system for downloading and loading curated model files to the device. It utilizes a provider-agnostic interface to allow switching between local and remote backends.

The application includes tools for organizing and exporting chat histories, synchronizing user data across multiple devices, and tuning generation parameters such as temperature and context length.

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Features

  • Offline Chat Clients - Acts as a chat application that runs language models locally on the device for offline use.
  • Local On-Device AI - Enables AI applications to run inference locally on the user's mobile hardware.
  • AI Provider Integrations - Includes connectors for integrating external AI model providers using API keys.
  • Cloud AI Integrations - Implements connectors for leveraging cloud-based artificial intelligence services via a mobile interface.
  • Unified Provider Interfaces - Provides a unified interface bridging both cloud-based and locally hosted AI model providers.
  • Local Model Execution - Provides the capability to run artificial intelligence models directly on local hardware for offline generation.
  • On-Device LLM Runners - Functions as a dedicated runner that loads and executes LLMs on mobile hardware for text generation.
  • Model Downloaders - Provides a system for browsing, downloading, and loading curated model files for on-device execution.
  • On-Device Models - Uses frameworks and engines optimized for local execution of models on mobile hardware.
  • Model Management - Provides a system for browsing, downloading, and configuring curated model files on the mobile device.
  • Provider-Agnostic Model Interfaces - Provides abstraction layers that standardize inputs and outputs across multiple different LLM providers.
  • Chat History Exporters - Includes utilities for saving and exporting conversation logs into structured or plain text formats.
  • Generation Temperature Controls - Allows adjustment of the randomness of model output using a temperature parameter.
  • Remote Inference Providers - Implements interfaces for offloading generative tasks to external, hosted model endpoints via network requests.
  • Model Generation Tuning - Allows adjustment of LLM inference parameters such as temperature and token limits.
  • Model Parameter Tuning - Provides controls for adjusting the deterministic or creative behavior of AI models via parameters.
  • Cross-Device Synchronization - Mirrors user data and chat state across different mobile hardware devices.
  • Cloud File Sync - Synchronizes local user profiles and chat logs with remote cloud storage for cross-device consistency.
  • User Profile Synchronization - Synchronizes user-specific preferences and interaction history across different mobile devices.
  • Self Hosted Platforms - Self-hosted AI chat application.
2,550 stars·264 forks·TypeScript·MIT·35 views

Star history

Star history chart for mobile-artificial-intelligence/maidStar history chart for mobile-artificial-intelligence/maid

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Projects sharing features with Maid

These projects share indexed features with Maid. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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  • arthur-ficial/apfelArthur-Ficial avatar

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    The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.

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    This project is an on-device AI SDK providing a framework for running large language models, vision models, and speech models locally. It serves as an orchestration layer for local LLM execution, ensuring data privacy and offline availability by utilizing hardware acceleration on the device. The SDK is distinguished by its comprehensive voice and multimodal capabilities, including a coordinated voice pipeline for activity detection, speech-to-text, and text-to-speech synthesis. It also provides a dedicated implementation kit for local retrieval-augmented generation and tools for processing co

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Frequently asked questions

What does mobile-artificial-intelligence/maid do?

Maid is a mobile large language model chat client and local runner. It provides a unified interface for interacting with AI models via cloud APIs or by executing model files directly on mobile hardware for offline generation.

What are the main features of mobile-artificial-intelligence/maid?

The main features of mobile-artificial-intelligence/maid are: Offline Chat Clients, Local On-Device AI, AI Provider Integrations, Cloud AI Integrations, Unified Provider Interfaces, Local Model Execution, On-Device LLM Runners, Model Downloaders.

Which projects share features with mobile-artificial-intelligence/maid?

Projects with overlapping indexed features include: a-ghorbani/pocketpal-ai — PocketPal AI is an on-device LLM chat application for Android that runs small language models locally, enabling… kilo-org/kilocode — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development… yaoapp/yao — Yao is an LLM agent framework and low-code web app builder designed for orchestrating autonomous AI agents. It… runanywhereai/runanywhere-sdks — This project is an on-device AI SDK providing a framework for running large language models, vision models, and speech… arthur-ficial/apfel — The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple… google-ai-edge/gallery — This project is a development framework for building edge-based AI agents that perform multimodal inference and…