AI Use Cases

Open-source · Coding · 6 of 8 tools · updated Oct 17, 2026

Open-source AI tools to run LLMs locally

Ollama leads the open-source options to run LLMs locally at 99/100, with 183,530 GitHub stars. 6 of the 8 tools tracked for this job publish their source, so you can read it, fork it or self-host it. It is also the top-ranked tool for this job overall, open-source or not.

Same evidence score as the ranking — GitHub stars, Hacker News mentions, release activity, free access — recomputed nightly, never sold. See all 8 tools to run LLMs locally.

Top 3

evidence / 100
1
Ollama Open source
One-command local LLM runner with a model library and an OpenAI-compatible API.

+ `ollama run llama3` is the simplest path to a local model, and most tools integrate with it.
− Hides llama.cpp tuning options, so throughput trails hand-tuned setups.

Free; optional cloud modelsopen sourcemacwindowslinuxcliapi
99—
evidence / 100
2
Open WebUI Open source
Self-hosted ChatGPT-style web interface for Ollama and OpenAI-compatible backends.

+ Multi-user accounts, RAG, and tool plugins make it a full private ChatGPT replacement.
− Docker-only deployment and a licence change in 2025 that restricts branding removal.

Free self-hostedopen sourceweblinuxmacwindows
98—
evidence / 100
3
llama.cpp Open source
C/C++ inference engine for LLMs that runs quantized GGUF models on CPUs and GPUs.

+ The engine underneath Ollama, LM Studio, and most local tooling, with the widest hardware support.
− Building and tuning flags yourself is a chore compared with wrappers.

Freeopen sourcemacwindowslinuxcliapi
97—
evidence / 100

All 6, side by side

ToolScoreStarsSourceDays idlePlatforms
Ollama99183,530ollama/ollama0mac, windows, linux, cli, api
Open WebUI98155,940open-webui/open-webui0web, linux, mac, windows
llama.cpp97131,447ggml-org/llama.cpp0mac, windows, linux, cli, api
Jan9044,975menloresearch/jan0mac, windows, linux
vLLM8093,962vllm-project/vllm0linux, cli, api
GPT4All7877,362nomic-ai/gpt4all507mac, windows, linux

Open source here means the tool's own source is public, not that a vendor published an SDK. Self-hosting cost is yours.

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