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Readme Ai ⭐ 1,213

👾 Automated README file generator, powered by large language model APIs.

Modelfusion ⭐ 712

The TypeScript library for building AI applications.

A privacy centric alternative to GitHub co-pilot.

The most no-nonsense locally hosted (or API hosted) AI code completion plugin for vs-code, like GitHub Copilot but 100% free and 100% private.

Ollamac ⭐ 199

A macOS app for interacting with the Ollama models

Ollama Voice Mac ⭐ 165

Mac compatible Ollama Voice

Ollama Gui ⭐ 120

A Web Interface for chatting with your local LLMs via the ollama API

Discord Ai Bot ⭐ 112

Discord AI chatbot using Ollama

Hass Ollama Conversation ⭐ 61

Ollama conversation integration for Home Assistant

Modelfusion Ollama Nextjs Starter ⭐ 43

Starter examples for using Next.js and the Vercel AI SDK with Ollama and ModelFusion.

"Just hoof it!" - A spotlight like interface to Ollama

AI Agent capable of automating various tasks using openai function call feature

Langchainjs Workshop ⭐ 19

Repository for the workshop "Unlocking the power of AI: Private conversations with your docs using Langchain JS" by @pattyneta

Llm Multitool ⭐ 16

Web UI for working with large language models

Shelloracle ⭐ 16

A terminal utility for intelligent shell command generation

Llm Bash ⭐ 15

LLM-Bash - A Bash Wrapper around llm and Ollama for your code editor.

Ollama Grid Search ⭐ 12

A Rust based tool to evaluate LLM models and model params, when using Ollama for inference.

Ollama Autocoder ⭐ 11

A simple to use Ollama autocompletion engine with options exposed and streaming functionality

Ollama Api ⭐ 10

Deploy a RESTful API Server to interact with Ollama and Stable Diffusion

Open Source Component-Driven Code Generator; It supports OpenAI, Ollama, ChakraUI, MaterialUI, BuilderIO, and more.

Ollama Models ⭐ 8

A collection of ready to use ollama models

Aidocumentlibrarychat ⭐ 7

A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.

Agentis is an application interface for your local AI models with Ollama allowing you to speak with text and voice with your LLM.

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