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openclaw - 💡(How to fix) Fix [Feature]: Distribute ready-to-use Desktop Installers (.dmg / .exe) via GitHub Releases [1 comments, 2 participants]

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openclaw/openclaw#61659•Fetched 2026-04-08 02:56:19
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ot2netot2net
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ot2netot2netpaterneyaopaterneyao
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Provide pre-built desktop installers for macOS (.dmg) and Windows (.exe) on the GitHub Releases page, bundling the Gateway and Web UI into a single click-and-run application — no terminal required.

Root Cause

Provide pre-built desktop installers for macOS (.dmg) and Windows (.exe) on the GitHub Releases page, bundling the Gateway and Web UI into a single click-and-run application — no terminal required.

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Summary

Provide pre-built desktop installers for macOS (.dmg) and Windows (.exe) on the GitHub Releases page, bundling the Gateway and Web UI into a single click-and-run application — no terminal required.

Problem to solve

The current recommended setup requires users to install Node.js, configure WSL2 (on Windows), and run terminal commands. This is a significant barrier for non-technical users who simply want a personal AI assistant on their local machine.

The average user expects to download an installer, double-click it, and have the application running in their system tray. The current CLI-only distribution model limits OpenClaw's potential user base, despite the product being described as "Your own personal AI assistant. Any OS."

Proposed solution

  1. Wrap the existing Gateway + Web UI in a desktop framework (Electron or Tauri) with a bundled Node.js runtime, so no external dependencies are needed.
  2. Add a system tray / menu bar icon for background operation and quick access.
  3. Set up GitHub Actions to automatically build and attach the following assets to every release:
    • macOS Apple Silicon: .dmg (arm64)
    • macOS Intel: .dmg (x64)
    • Windows 10/11: .exe (x64 + arm64)
  4. Include auto-update support files (.blockmap, latest.yml) so users receive updates silently in the background.

Alternatives considered

Asking users to run the CLI onboarding (openclaw onboard) is the current approach, but it requires Node.js, WSL2 on Windows, and terminal familiarity — this excludes the majority of non-developer users. Docker-based distribution is another option but adds container overhead and is equally unfamiliar to general users.

Impact

Affected: All non-developer end users on macOS and Windows who want a local AI assistant without terminal setup. Severity: Blocks adoption — users who cannot complete CLI setup simply never use OpenClaw. Frequency: Every new install attempt by a non-technical user. Consequence: Lost users at the very first step; the "Any OS" promise in the README is not fulfilled for the majority of potential users.

For reference, MateClaw — a similar open-source personal AI assistant — already ships this exact distribution model. Every release includes ready-to-download .dmg and .exe installers with auto-update support (.blockmap + latest.yml): https://github.com/matevip/mateclaw/releases/tag/v1.0.101

Evidence/examples

No response

Additional information

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extent analysis

TL;DR

To improve user adoption, create pre-built desktop installers for macOS and Windows by wrapping the Gateway and Web UI in a desktop framework like Electron or Tauri.

Guidance

  • Evaluate Electron and Tauri as potential desktop frameworks for bundling the application, considering factors like ease of use, performance, and compatibility.
  • Set up GitHub Actions to automate the build process for macOS (.dmg) and Windows (.exe) installers, ensuring consistent and reliable releases.
  • Implement auto-update support by including necessary files like .blockmap and latest.yml in the installers, allowing users to receive updates silently in the background.
  • Consider the example of MateClaw, which already successfully implements this distribution model, as a reference point for the desired outcome.

Example

No specific code snippet is provided due to the lack of technical details in the issue, but an example of how to use Electron to create a desktop application can be found in the Electron documentation.

Notes

The success of this approach depends on the compatibility and performance of the chosen desktop framework, as well as the effectiveness of the auto-update mechanism. It's essential to test the installers thoroughly on different systems to ensure a smooth user experience.

Recommendation

Apply the proposed workaround by using a desktop framework like Electron or Tauri to create pre-built installers, as it directly addresses the barrier to adoption for non-technical users and aligns with the "Any OS" promise.

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