Python package for cognosis kb, syntax, and markup language. Under-construction.

Terminal UI for locally hosted large language models

mychatgpt is a small and useful Python package that provides utils to create OpenAI's GPT conversational agents. This module allows users to have interactive chat with GPT models and keeps track of the chat history. Useful in Python projects as Copilot agent.

ToolAgents is a lightweight and flexible framework for creating function-calling agents with various language models and APIs.

Harness LLMs with Multi-Agent Programming

Retrieval AuGmented kNowledge AdviseR

Prism Chat (local) is a WebUI interface that allows you to easily use the local DeepSeek R1 model running directly with Ollama.

Workday Copilot: A privacy-focused Chrome extension that automates job applications on Workday using local LLMs. Built with WXT, it intelligently fills forms, manages resume data, and handles navigation - all while keeping your data on your machine.

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.

The TeamAI application allows users to create a team of AI powered assistants with individual capabilities, personas. The AI assistants will solve the task requested by the user as a team effort, each bot contributing with its respective capabilities. Supported providers are Ollama and OpenAI.

A high-level Rust interface for language models powered by the Candle ML framework. It provides ergonomic and efficient APIs for intuitive language model interactions.

Unified C# client for LLM providers.

C# client for Oobabooga.

C# client for LM Studio.

C# client for KoboldCpp.

Chat offline with open-source LLMs like deepseek-r1, nemotron, qwen, llama and more all through a simple R package powered by Shiny and Ollama. 🚀

Chrome extension that summarizes web page contents using Gemini Nano. Features include secure in-browser summarization, markdown output, and translation options.

Models: Deepseek R1 models, Llama3.2, Qwen2.5. Integrations: Ollama, Gradio. Supports Local LLM. Test and deploy the latest LLM models in the fastest and most efficient way

A simple Unity script that sends a request to an LM Studio server, extracts content from the response, and logs the result.

Ask a question about a document collection and extract structured responses