This repository will have different projects using AutoGen and Tutorials

ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation workflow by leveraging the power of language models.

LM Studio Python SDK

Python app for LM Studio-enhanced voice conversations with local LLMs. Uses Whisper for speech-to-text and offers a privacy-focused, accessible interface.

Whisper STT + Orpheus TTS + Gemma 3 using LM Studio to create a virtual assistant.

Meshtastic-AI - Off-Grid LM-Studio / Ollama / OpenAI integration & Home Assistant API control for Meshtastic with custom commands, inbound / outbound Twilio SMS routing, Discord channel routing & GPS emergency alerts over sms, email & discord. Now with Windows, Linux & Docker support!

How to run a local server on LM Studio

RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG), Agentic RAG and RAT (Retrieval augmented thinking)..

a local RAG LLM with persistent database to query your PDFs

LM Studio extension for automatic image captioning.

Run Orpheus TTS locally.

A Telegram bot with sqlite backend for seamless integration with LM Studio, enabling OpenAI-like chat, completions, and embeddings. Supports multi-threaded conversations, custom prompts, and automatic summarization

Use any LLM model to assert unit tests for you

WebUI for LmStudio,本项目旨在提供一个LmStudio的简单WebUI，实现远程连接到LmStudio的Local Server的目的。

Code Structure Analyzer - A Python CLI application that analyzes codebases and generates structured documentation using local LLMs and is aimed for small codebases (1000 files or less).

Gradio chat bot for LM studio

LMStudioや、ChatGPTなどのLLMとDiscordBotを使って会話するやるです。

A Python library for generating high-quality question-answer pairs from PDF, DOCX, MD, and TXT files

The PDF-QnA-LLMs-RAG project enables question-and-answer functionality over PDF / TXT documents using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). Implemented in Python, this repository provides tools to process PDFs, extract relevant information, and deliver accurate answers. It uses LLMs to support effective interaction

A simple deepseek r1 based chatbot made with Streamlit and lmstudio backend