Run local LLMs fully offline - chat, coding agent, image, music, video generation, knowledge/RAG, voice. Privacy-first, with GUI and CLI, no cloud required.
HEALTH ? 100 / Healthy
// readme
At its core LocaLM is a model loader plus a plugin engine: GGUF and HuggingFace models (which ones) through an OpenAI-compatible server, with chat always on and everything else - the coder agent, image/music/video generation, Knowledge (RAG), durable memory, voice, scheduled jobs, and MCP - a plugin you install when you want it. See Offline first for exactly what does and does not touch the network.
Quick start
# Install (Linux/macOS) - or on Windows, clone and double-click setup.bat
curl -fsSL https://raw.githubusercontent.com/Matlan1/localm/master/install.sh | bash
localm pull owner/repo:model-Q4_K_M.gguf # Download a GGUF from HuggingFace
localm gui # Chat + coder + plugins in your browser
localm run mymodel --prompt "Explain RDNA2" # Offline terminal chat or single prompt
localm serve mymodel # OpenAI-compatible API server
The one-click install puts localm in ~/localm, not on your PATH: run ~/localm/localm.sh <args> (on Windows, localm.bat <args> from the clone), or answer y to βMake βlocalmβ runnable from anyβ¦