Maid is a cross-platform Flutter app for interfacing with GGUF / llama.cpp models locally, and with Ollama and OpenAI models remotely.

MemoryCache is an experimental development project to turn a local desktop environment into an on-device AI agent

🦙 Ollama Telegram bot, with advanced configuration

Like ChatGPT's voice conversations with an AI, but entirely offline/private/trade-secret-friendly, using local AI models such as LLama 2 and Whisper

maid_llm is a dart implementation of llama.cpp used by the mobile artificial intelligence distribution (maid)

Extract structured data from local or remote LLM models

Spin up any(almost) llm locally!

A minimal web-UI for talking to Ollama servers

Email Auto-ReplAI is a Python tool that uses AI to automate drafting responses to unread Gmail messages, streamlining email management tasks.

Empower Your Productivity with Local AI Assistants

Telegram bot that interacts with the local Ollama 🦙 to answer user messages

Voice-to-voice personal assistant, Full-local, GPU company agnostic.

HTTP API for LLM with OpenAI compatibility

OfflineAI is an artificial intelligence that operates offline and uses machine learning to perform various tasks based on the code provided. It is built using two powerful AI models by Mistral AI.

Transcribes videos and describes them with OpenAI APIs or local models.

Fluentcards AI is an enhanced version of the original Fluentcards project, integrating AI technology to generate detailed explanations for vocabulary collected from Kindle devices. It enables language learners to export their Kindle vocabulary into Anki flashcards, with AI-powered explanations providing deeper context and understanding of each word

tinydogBIGDOG uses gpt4all and openai api calls to create a consistent and persistent chat agent. choosing between the "tiny dog" or the "big dog" in a student-teacher frame. Two dogs with a single bark.

Local AI Open Orca For Dummies is a user-friendly guide to running Large Language Models locally. Simplify your AI journey with easy-to-follow instructions and minimal setup. Perfect for developers tired of complex processes!

Conversate effortlessly in more than 50 languages!

An automatic docstrings generator using local LLM models.