An LLM driven recommendation system based on Radarr and Sonarr library or watch history information

Run large language models like Qwen and LLaMA locally on Android for offline, private, real-time question answering and chat - powered by ONNX Runtime.

🚀 A powerful Flutter-based AI chat application that lets you run LLMs directly on your mobile device or connect to local model servers. Features offline model execution, Ollama/LLMStudio integration, and a beautiful modern UI. Privacy-focused, cross-platform, and fully open source.

Local LLM proxy, DevOps friendly

🖼️ Python Image and 🎥 Video Generator using LLM providers and models — built with Claude Code 💻 CLI

A framework for using local LLMs (Qwen2.5-coder 7B) that are fine-tuned using RL to generate, debug, and optimize code solutions through iterative refinement.

An advanced, fully local, and GPU-accelerated RAG pipeline. Features a sophisticated LLM-based preprocessing engine, state-of-the-art Parent Document Retriever with RAG Fusion, and a modular, Hydra-configurable architecture. Built with LangChain, Ollama, and ChromaDB for 100% private, high-performance document Q&A.

A fully customizable, super light-weight, cross-platform GenAI based Personal Assistant that can be run locally on your private hardware!

🤖 An Intelligent Chatbot: Powered by the locally hosted Ollama 3.2 LLM 🧠 and ChromaDB 🗂️, this chatbot offers semantic search 🔍, session-aware responses 🗨️, and an interactive Streamlit interface 🎨 for seamless user interaction. 🚀

Neuroplastic database architecture for AI memory systems. 233x faster, 80% less memory

LLM Router is a service that can be deployed on‑premises or in the cloud. It adds a layer between any application and the LLM provider. In real time it controls traffic, distributes a load among providers of a specific LLM, and enables analysis of outgoing requests from a security perspective (masking, anonymization, prohibited content).

An autonomous AI agent for intelligently updating, maintaining, and curating a LightRAG knowledge base.

An AI-powered assistant to streamline knowledge management, member discovery, and content generation across Telegram and Twitter, while ensuring privacy with local LLM deployment.

This repository has code to securely run SLM (Small language models) locally using nodejs (servers side) or inside browser .

**Ask CLI** is a command-line tool for interacting with a local LLM (Large Language Model) server. It allows you to send queries and receive concise command-line responses.

JV-Archon is my personal offline LLM ecosystem.

Python CLI/TUI for intelligent media file organization. Features atomic operations, rollback safety, and integrity checks, with a local LLM workflow for context-aware renaming and categorization from API-sourced metadata.

WoolyChat - open-source AI chat app for locally hosted Ollama models. Written in Flask/JavaScript.

End-to-end RAG automation built with n8n, Ollama (local LLMs), and Pinecone. Automatically ingests documents, generates embeddings, stores vectors, and enables context-aware AI chat.

Always-on companion for Claude that remembers your decisions and their evolution. Local-first memory using SQLite + transformers.js embeddings.