Ollama is described as 'Facilitates local deployment of Llama 3, Code Llama, and other language models, enabling customization and offline AI development. Perfect for creating personalized AI chatbots and writing tools' and is a very popular large language model (llm) tool in the ai tools & services category. There are more than 50 alternatives to Ollama for a variety of platforms, including Windows, Mac, Linux, Android and Web-based apps. The best Ollama alternative is DeepSeek, which is both free and Open Source. Other great apps like Ollama are Jan.ai, AnythingLLM, Alpaca - Ollama Client and Ensu.
MLC LLM is a machine learning compiler and high-performance deployment engine for large language models. The mission of this project is to enable everyone to develop, optimize, and deploy AI models natively on everyone’s platforms.
Mocolamma is an Ollama management application for macOS and iOS / iPadOS that connects to Ollama servers to manage models and perform chat tests using models stored on the Ollama server.
Warden is a minimalist, simple and beautiful macOS AI chat app, that supports most AI providers: ChatGPT, Anthropic (Claude), xAI (Grok), Google Gemini, Perplexity, Groq, Local LLMs through Ollama, OpenRouter, and almost any OpenAI-compatible APIs.
GPT Engineer is a ChatGPT agent designed to code based on how you want it to. It generates an entire codebase based on a prompt along with some feedback.
ChatMCP is a cross-platform AI chat client built with Flutter that integrates with Model Context Protocol (MCP) servers to provide enhanced AI interactions. This document provides a high-level overview of the system architecture, core components, and technology stack that powers...
Empower any business with no-code AI voice assistants, enabling seamless outbound/inbound calls and appointments. Personalize user experiences with conversational AI while ensuring top-notch privacy and security across diverse applications.
Embeddings databases are a union of vector indexes (sparse and dense), graph networks and relational databases. This enables vector search with SQL, topic modeling, retrieval augmented generation and more.
Create your own custom chat assists to boost your productivity with ChatGPT.
The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.
The Swiss Army Knife of offline AI. Chat, speak, and generate images. Privacy first, zero internet. Download an LLM and use it on your mobile device. No data ever leaves your phone.
You need Ollama running on your localhost with some model. Once Ollama is running the model can be pulled from Follamac or from command line. From command line type something like: Ollama pull llama3 If you wish to pull from Follamac you can write llama3 into "Model name to...
Experience AI chat on macOS with a SwiftUI-designed client utilizing Swift, CoreML, and BERT for native performance. Enjoy privacy-focused, intuitive chats with intelligent AI responses, profile customization, and full control via editable chat history and message rewind.
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This one requires you to connect to an online service, while the other one is for managing LLMs.