7 Open-Source ChatGPT Alternatives You Can Run Locally
From Open WebUI and Jan to LibreChat and AnythingLLM, a wave of open-source interfaces now delivers a polished, ChatGPT-style experience entirely on your own hardware, for more privacy, control and lower cost.
Why run AI locally
More people are moving toward local AI setups, where models run directly on their own computer instead of sending everything to a cloud service. As a recent KDnuggets guide by Abid Ali Awan lays out, the appeal is simple: more privacy, more control, and often lower cost, since a capable GPU lets you run surprisingly strong models without paying for multiple AI subscriptions. The bonus is that you no longer have to sacrifice the polished, ChatGPT-style experience to do it. Here is a recap of the seven open-source options the guide highlights, with notes on who each one suits.
Open WebUI and llama.cpp WebUI
Open WebUI is one of the most complete local AI frontends: run it via Docker or Python, point it at Ollama, llama.cpp or any OpenAI-compatible API, and you get model switching, file uploads and tools in an interface that feels close to ChatGPT. If you already use llama.cpp, its built-in WebUI is the lightest option of all: running llama-server gives you both an OpenAI-compatible API and a browser interface with conversations, streaming, attachments and history, no separate app required.
LobeHub and AnythingLLM
LobeHub goes beyond simple chat with a commercial-feeling UI and an agents system, letting you build separate assistants for coding, research or writing, each with its own instructions and tools. AnythingLLM is the pick if your focus is your own documents: it ships with most of the RAG pipeline built in, including document ingestion, vector databases and per-workspace knowledge bases, so it acts more like a private knowledge assistant than a chatbot.
Jan, LibreChat and Hugging Face Chat UI
Jan is the easiest on-ramp, a desktop app with no Docker or server setup: install it, download a model, and you have an offline ChatGPT on your machine. LibreChat is the most feature-packed, adding agents, MCP, code execution, conversation search, authentication and multi-provider support for teams that want a full private AI platform. Hugging Face Chat UI is a clean, developer-focused frontend that connects to OpenAI-compatible servers like llama.cpp or Ollama when you already have your inference stack running.
Which one should you pick
The right choice comes down to your workflow. For a complete all-in-one workspace, Open WebUI or LibreChat lead; for the simplest start, Jan; for document-heavy work, AnythingLLM; for the lightest footprint, the llama.cpp WebUI or Hugging Face Chat UI. As the KDnuggets piece concludes, the real difference from ChatGPT is control: you choose the models, run everything locally, connect your own inference servers, and build the AI workspace that fits how you actually work.
Related on Skillo
See also: Meta's Llama 3 open models, AWS open-sources the Strands harness agent.
Sources
Published date reflects the original event date (2026-09-24). This article is original Skillo editorial written from the sources above; facts were verified in September 2026.
Written by
Skillo Staff
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