DSH Desktop for macOS
Unofficial native macOS desktop app for the DeepSeek Harness web UI. Runs and manages the local harness instance, supports up to eight isolated tabs, and optio…
What it does
The specific capability behind this listing, and where to get it.
DSH Desktop for macOS
Unofficial native macOS desktop app for the DeepSeek Harness web UI. Runs and manages the local harness instance, supports up to eight isolated tabs, and optio…
Agentery has not yet captured structured capability detail for this provider.
Official DSH Desktop for macOS links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is DSH Desktop for macOS good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
DSH Desktop for macOS's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
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"name": "DSH Desktop for macOS",
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"short_summary": "Unofficial native macOS desktop app for the DeepSeek Harness web UI. Runs and manages the local harness instance, supports up to eight isolated tabs, and optio…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
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],
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"docs": null,
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"protocols": []
},
"liveness": {
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"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}