An all-in-one local AI application from Mintplex Labs, built around document chat and agents. It bundles an LLM connector, an embedder, and a LanceDB vector store, so you can index and chat with your own documents out of the box.
A desktop app from Nomic focused on simple, fully offline chat, including chat over your own documents. It runs on ordinary hardware without a GPU, and is one of the least fiddly ways to get private local AI working.
An open-source, offline-first desktop app for chatting with local models through a clean interface. It runs models locally by default and keeps your conversations on your machine, with a focus on privacy.
A polished desktop app for discovering, downloading, and chatting with local models through a graphical interface. A good fit if you would rather not touch a command line, with a built-in local server for connecting other tools.
The fastest route to a working local model. Ollama wraps llama.cpp with simple model management, a one-line pull-and-run workflow, and a local API that many other tools speak to. The usual first recommendation for newcomers.
A self-hosted web interface for local models, most commonly paired with Ollama. It adds multi-user accounts, document chat and RAG, tools, and shared workspaces on top of a model backend, all running on your own server.