LinuxAlternative
Open WebUILinux vs Microsoft CopilotWindows

Open WebUI as a Linux alternative to Microsoft Copilot

Updated

Our verdict

Open WebUI is a strong replacement for users who prioritize privacy and control over convenience. It offers a familiar chat interface and supports local models, eliminating the need for a Microsoft account or cloud dependency. However, it lacks the deep system integration of Copilot, such as direct file indexing or OS-level commands. You must manage your own models and hardware requirements. If you need a private, offline assistant for text generation and Q&A, it works well. If you rely on Copilot for seamless Windows automation, this is not a drop-in swap.

Feature parity60%
License
AGPL-3.0-or-later
Price
Free
Latest version
0.0.8 (April 11, 2026)
Rating
—
Open WebUI screenshot

What works the same

  • Chat-based interface for Q&A and text generation
  • Ability to summarize content and generate new text
  • Support for document context processing via RAG
  • Web browsing integration for real-time information

What is different

  • No native OS integration; cannot control Windows/Linux system settings directly
  • Requires local hardware capable of running LLMs; no built-in cloud fallback
  • No automatic indexing of local files; user must manually upload documents
  • Setup complexity is higher; requires managing model weights and backends

Opening your Microsoft Copilot files

Open WebUI does not use a proprietary file format for conversations. Chat history is stored in a local database (SQLite) within the application directory. You can export conversations as JSON or Markdown via the UI. There is no direct import tool for Microsoft Copilot chat logs, as Copilot does not provide a standard export format. You would need to manually copy text from Copilot chats into Open WebUI if you wish to preserve specific interactions.

Switching from Microsoft Copilot to Open WebUI, step by step

  1. Install Open WebUI via Docker or Flatpak on your Linux system
  2. Download a suitable local LLM (e.g., Llama 3) from Hugging Face
  3. Configure the model backend in Open WebUI settings to point to your local model
  4. Upload any necessary documents to the vector database for context
  5. Test the chat interface to ensure response times meet your latency needs

Key features of Open WebUI

  • Self‑hosted and offline by default
  • Extensible via plugins
  • Web‑based UI accessible from any browser
  • Supports multiple model backends (Llama, GPT‑Neo, etc.)
  • Configurable prompt templates
  • Built‑in model management and versioning
  • Docker/Flatpak distribution
  • OpenAPI‑compatible endpoints

How to install Open WebUI on Linux

Flatpak (Flathub)flatpak install flathub com.openwebui.open-webui

Frequently asked questions

Does Open WebUI require an internet connection?

No. It is designed to operate entirely offline. You only need internet access to download models initially or if you choose to use online APIs, but local execution is fully supported.

Can I use Open WebUI on a low-power laptop?

It depends on the model size. Smaller models (7B-8B parameters) can run on modest hardware, but response times may be slow. Larger models require significant RAM and GPU resources for acceptable latency.

Is Open WebUI free to use?

Yes. It is open-source under the AGPL-3.0 license. You pay for your own hardware and electricity. There are no subscription fees or mandatory cloud services.

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