C++ inference engine for LLMs. GGUF format, quantization, CPU and Metal/CUDA support. The foundation most local tools build on.
llama.cpp is the C++ inference library from Georgi Gerganov that most of the local-LLM ecosystem is built on. Ollama, LM Studio, Jan, and GPT4All all ship a wrapped or forked llama.cpp at their core. Using it directly gives you the lowest overhead and the most control: quantization down to 2-bit, Metal acceleration on Apple Silicon, CUDA on NVIDIA, Vulkan on AMD, and first-class support for the GGUF weight format that the entire local ecosystem has standardized on. For developers who want to embed local inference in a product rather than wrap an existing tool, llama.cpp is the layer to integrate against. The bundled llama-server binary exposes an OpenAI-compatible HTTP endpoint so any existing tool can swap to a local model with one config change.
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curl -LsSf https://llama.app/install.sh | shbrew install llama.cppwinget install llama.cppSources: ggml-org/llama.cpp README, Install docs, Server README, GitHub releases
Apple's array framework for machine learning on Apple Silicon. Native Metal support, unified memory, first-class LLM inference.
High-throughput inference server for LLMs. PagedAttention memory management. The go-to for serious local or self-hosted serving.
The easiest way to run LLMs locally. One command to pull and run any model. OpenAI-compatible API. 52M+ monthly downloads. Supports GGUF, Safetensors, and custom Modelfiles.
Desktop app for discovering, downloading, and running local LLMs. Clean chat UI, OpenAI-compatible API server, and automatic GPU detection. MLX engine optimized for Apple Silicon.
C++ inference engine for LLMs. GGUF format, quantization, CPU and Metal/CUDA support. The foundation most local tools build on.
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Subscribe FreeThe easiest way to run LLMs locally. One command to pull and run any model. OpenAI-compatible API. 52M+ monthly downloads. Supports GGUF, Safetensors, and custom Modelfiles.
Desktop app for discovering, downloading, and running local LLMs. Clean chat UI, OpenAI-compatible API server, and automatic GPU detection. MLX engine optimized for Apple Silicon.
Open-source ChatGPT alternative that runs models fully offline. Desktop app with local models, cloud API connections, custom assistants, and MCP integration. Apache 2.0 licensed.
Install Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.
Getting StartedLocal, project, user, and plugin-level MCP configurations.
Claude CodeGUI-based scheduling on your local machine for recurring work.
Claude Code
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