Ollama
Easiest installMITSelf-host~110kEasiest local LLM runner. One install, one command. Mac/Linux/Windows. The default for 90% of local LLM use cases.
github.com/ollama/ollamaRunning LLMs locally in 2026 is no longer a hacker pastime — it's the privacy-first default for sensitive work. Llama 3.3 70B matches GPT-4o on most benchmarks, DeepSeek-R1 brings frontier reasoning to consumer hardware, and Ollama makes the whole thing one command. Below are the picks for offline/private AI ranked by real production usage.
Easiest local LLM runner. One install, one command. Mac/Linux/Windows. The default for 90% of local LLM use cases.
github.com/ollama/ollamaEasiest local LLM runner. One install, one command. Mac/Linux/Windows. The default for 90% of local LLM use cases.
github.com/ollama/ollamaDesktop GUI for local LLMs. Beautiful interface, model browser, easy quantization picking. Best for non-CLI users.
github.com/lmstudio-ai/lmstudioThe C++ engine under Ollama and LM Studio. Direct usage gives max performance + custom integrations.
github.com/ggml-org/llama.cppFeatureful web UI for local LLMs. Character cards, RAG, extensions. Best if you want to tinker.
github.com/oobabooga/text-generation-webuiApple Silicon-native ML framework. 2-3x faster than llama.cpp on M-series chips. Best for Mac users.
github.com/ml-explore/mlx-examplesChatGPT-clone interface that connects to your local Ollama. RAG over docs, multi-user, image gen. The full local AI stack.
github.com/open-webui/open-webui