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[GH-ISSUE #15825] Feature request for Ollama Desktop app just like Claude Desktop app for Windows and Mac #72145

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opened 2026-05-05 03:32:51 -05:00 by GiteaMirror · 1 comment
GiteaMirror commented 2026-05-05 03:32:51 -05:00
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Originally created by @ttran0424 on GitHub (Apr 26, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/15825

I like to request a feature Ollama Desktop app just like Claude Desktop app for Windows and Mac.

Originally created by @ttran0424 on GitHub (Apr 26, 2026). Original GitHub issue: https://github.com/ollama/ollama/issues/15825 I like to request a feature Ollama Desktop app just like Claude Desktop app for Windows and Mac.
GiteaMirror added the feature request label 2026-05-05 03:32:51 -05:00
GiteaMirror commented 2026-05-05 03:32:52 -05:00
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@rehan243 commented on GitHub (Apr 27, 2026):

LLM engineering has a lot of nuance! Some production learnings:

  • Model selection: We benchmark every new model on our specific tasks before
    switching. Leaderboard performance doesn't always translate to production use cases
  • Prompt versioning: We version-control prompts like code and run A/B tests
    when making changes — small prompt tweaks can have outsized effects
  • Fallback chains: We route between providers (OpenAI -> Anthropic -> self-hosted)
    with automatic failover. No single point of failure

The pace of improvement is incredible — staying current with new models and techniques
is almost a full-time job!

<!-- gh-comment-id:4327881573 --> @rehan243 commented on GitHub (Apr 27, 2026): LLM engineering has a lot of nuance! Some production learnings: - **Model selection**: We benchmark every new model on our specific tasks before switching. Leaderboard performance doesn't always translate to production use cases - **Prompt versioning**: We version-control prompts like code and run A/B tests when making changes — small prompt tweaks can have outsized effects - **Fallback chains**: We route between providers (OpenAI -> Anthropic -> self-hosted) with automatic failover. No single point of failure The pace of improvement is incredible — staying current with new models and techniques is almost a full-time job!
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