
Windows Agent Arena
provides a benchmarking and testing platform for multi-modal desktop AI agents in a Windows OS environment
What it does
The specific capability behind this listing, and where to get it.
Windows Agent Arena
provides a benchmarking and testing platform for multi-modal desktop AI agents in a Windows OS environment
Official Windows Agent Arena 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 Windows Agent Arena 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.
View the full niche →Comparable Desktop Automation
Alternatives in the same niche, with observed price and liveness where available.






See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "windows_agent_arena",
"name": "Windows Agent Arena",
"url": "https://github.com/microsoft/WindowsAgentArena",
"logo": "https://agentery.com/logos/CP-FA6379-128.png",
"niche": "desktop-automation",
"category": "developer-tools-infra",
"short_summary": "provides a benchmarking and testing platform for multi-modal desktop AI agents in a Windows OS environment",
"task_performed": "provides a benchmarking and testing platform for multi-modal desktop AI agents in a Windows OS environment",
"inputs_accepted": [
"agent commands",
"task configurations",
"OpenAI/Azure API keys",
"screen understanding inputs"
],
"outputs_produced": [
"benchmark results and evaluation metrics for AI agents across tasks"
],
"integrations_available": [
"Azure ML",
"OpenAI API",
"Azure OpenAI API",
"Docker",
"Omniparser",
"Navi agent"
],
"protocols_or_interfaces": [
"API"
],
"industry_fit": [
"developer tools / AI research"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T04:56:28.537Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"872 GitHub stars",
"Microsoft repository",
"MIT license",
"published technical report/paper",
"case study via paper"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/microsoft/WindowsAgentArena",
"https://openadapt.ai/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/microsoft/WindowsAgentArena",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"windows_agent_arena\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 573,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:39:35.532Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}