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AI Personal Assistants

UiharuMindAI tool

The project supports local GGUF models, avoiding a paid AI API when a compatible model is used.

Free local application · model/hardware costs separate

The Apache-2.0 application is free. GGUF weights are separate downloads with their own license and hardware needs. OpenAI-compatible remote providers are optional and can incur API charges. The project marks Linux support as work in progress; review release signing before installation. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed.

Pricing checked .

Check official pricing
8Repository stars
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Apache-2.0License
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UiharuMind product interface
UiharuMind · Project screenshot of agent workspace; Linux support is marked work in progress upstream.
Product image: CWHISME and UiharuMind contributors · Apache-2.0 · Original image; layout scaled to fit. Project screenshot of agent workspace; Linux support is marked work in progress upstream. Full notice.Logo: CWHISME and UiharuMind contributors · Apache-2.0 · Original image; layout scaled to fit. Provider asset identifies uiharumind; no endorsement is implied. Full notice.

About UiharuMind

A cross-platform assistant with local GGUF inference, coding-agent features, and screenshot OCR tools. Visit the project website to check the currently available deployment options.

Release status

Official README and root license checked against this revision on 2026-11-01. Local model and provider costs are recorded separately; AltStack did not execute the project or its installers.

Availability checked 1 Nov 2026. Check the provider’s release or installation information

Installation and setup

Install on your computer · Instructions checked 2026-11-01

  1. Read the official README and confirm the project’s current platform status; Linux support is marked work in progress.
  2. Use only the official release/build instructions for your operating system; review the project’s note about unsigned macOS builds.
  3. Download a compatible GGUF model and review its own license and hardware requirements before loading it.
  4. Test with local sample content before using private files or connecting an OpenAI-compatible service.

Local GGUF inference can avoid a paid API but requires model storage and suitable hardware. Optional provider paths are separate; macOS builds are not notarized in the checked source.

Self-hosting & quickstart specs

License
Apache-2.0
Deployment
Local desktop application
Free edition / costs
Free local application · model/hardware costs separate. The Apache-2.0 application is free. GGUF weights are separate downloads with their own license and hardware needs. OpenAI-compatible remote providers are optional and can incur API charges. The project marks Linux support as work in progress; review release signing before installation. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed. Pricing evidence.
Devices / hardware
Local GGUF inference can avoid a paid API but requires model storage and suitable hardware. Optional provider paths are separate; macOS builds are not notarized in the checked source.

No one-line command has been verified for UiharuMind; follow its official installation instructions instead of guessing a Docker image or installer.

UiharuMind provider setup documentation

Explore the project

Technology stack

Technologies recorded in the catalog snapshot.

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