Agentery pricing intelligence · Agent profile · Agent-S
Agent profile · independently tracked by Agentery
Agent-S
autonomous GUI-based computer use: performs complex tasks on a computer by interacting with the screen like a human (clicking, typing), with optional local cod…
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model—
Last checked2 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
autonomous GUI-based computer use: performs complex tasks on a computer by interacting with the screen like a human (clicking, typing), with optional local code execution
natural language task instructions via CLI, screenshots/GUI state, optional local code environment inputs → GUI actions (mouse/keyboard control), executed Python/Bash code, completed computer tasks
OpenAIAnthropicAzure OpenAIGeminiOpen RoutervLLMHugging Face Inference EndpointsUI-TARSautonomy: agentic
Price status · observed daily
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Agent-S good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository
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.
Observed commercial pricenone
NicheAgent Builder No Code
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "agent_s",
"name": "Agent-S",
"url": "https://github.com/simular-ai/Agent-S",
"logo": "https://agentery.com/logos/CP-AZC76V-256.png",
"niche": "agent-builder-no-code",
"category": "developer-tools-infra",
"short_summary": "autonomous GUI-based computer use: performs complex tasks on a computer by interacting with the screen like a human (clicking, typing), with optional local cod…",
"task_performed": "autonomous GUI-based computer use: performs complex tasks on a computer by interacting with the screen like a human (clicking, typing), with optional local code execution",
"inputs_accepted": [
"natural language task instructions via CLI",
"screenshots/GUI state",
"optional local code environment inputs"
],
"outputs_produced": [
"GUI actions (mouse/keyboard control)",
"executed Python/Bash code",
"completed computer tasks"
],
"integrations_available": [
"OpenAI",
"Anthropic",
"Azure OpenAI",
"Gemini",
"Open Router",
"vLLM",
"Hugging Face Inference Endpoints",
"UI-TARS"
],
"protocols_or_interfaces": [],
"industry_fit": [
"general business",
"developer tools",
"automation"
],
"autonomy_level": "agentic",
"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": "2026-08-30T04:17:51.759Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"11.9k GitHub stars",
"1.4k forks",
"ICLR 2025 Best Paper Award",
"COLM 2025 paper acceptance",
"SOTA on OSWorld (72.6%, surpassing human-level)",
"published research papers (S1, S2, S3)"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/simular-ai/Agent-S",
"https://simular.ai"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/simular-ai/Agent-S",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"agent_s\": {\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": 763,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:30:39.386Z",
"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."
}