ningbainb/deepseek-harness-desktop
deepseek-harness-desktop is a tool for DeepSeek Harness. Open-source Windows desktop client and GUI for DeepSeek Harness — zero-setup installer with Codex, plugins, skills, SSH, mobile remote access, and 11 skins.
REVIEW SCORECARD
✓ 无Risky检出 · 自动化扫描结果仅供参考，非官方背书
AI DEEP REVIEW
Feature-rich, actively maintained Windows GUI for DeepSeek Harness, but install command is unknown and security details
README describes transactional plugin install/update with isolated compatibility checks, atomic activation, and automatic rollback, plus a dedicated desktop profile that avoids overwriting existing DSH config, though no test or CI details are visible.
README claims OAuth tokens stay in the local DSH Home and that anonymous metrics exclude conversations, files, paths, and keys, but the install command is unknown and no independent verification is provided.
It bundles DSH runtime, skills, plugins, Git, SSH, mobile remote access, and task automation into a zero-setup Windows installer, addressing the real pain of manual Node/Git/DSH configuration.
Last updated 2026-08-25 with a detailed 3.5.0 changelog, active release notes, and an upgrade/rollback guide, indicating ongoing development.
README is extensive with screenshots, feature explanations, and links to product docs, usage docs, changelog, and privacy policy, but the actual install command is listed as unknown.
Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.
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Open-source Windows desktop client and GUI for DeepSeek Harness — zero-setup installer with Codex, plugins, skills, SSH, mobile remote access, and 11 skins.
deepseek-harness-desktop has 203 stars and 7 forks on GitHub, last updated 2026-08-25.
deepseek-harness-desktop is distributed under the BSD-3-Clause license.
deepseek-harness-desktop is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:desktop-app、skills、ai-coding-assistant。
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