Autokernel
Open-source autonomous agent that profiles PyTorch models, identifies GPU kernel bottlenecks, and iteratively optimizes Triton or CUDA C++ kernels with correct…
What it does
The specific capability behind this listing, and where to get it.
Autokernel
Open-source autonomous agent that profiles PyTorch models, identifies GPU kernel bottlenecks, and iteratively optimizes Triton or CUDA C++ kernels with correct…
Agentery has not yet captured structured capability detail for this provider.
Official Autokernel links
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Autokernel good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
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 AI Compute Optimization Infra
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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": "autokernel",
"name": "Autokernel",
"url": "https://rywalker.com/research/autokernel",
"logo": "https://www.google.com/s2/favicons?domain=rywalker.com&sz=128",
"niche": "ai-compute-optimization-infra",
"category": "developer-tools-infra",
"short_summary": "Open-source autonomous agent that profiles PyTorch models, identifies GPU kernel bottlenecks, and iteratively optimizes Triton or CUDA C++ kernels with correct…",
"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": {
"observed": true,
"billing": "free",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "AutoKernel is free and open source under the MIT license, with no hosted or paid tier; users cover GPU and LLM API costs.",
"confidence": "medium",
"source_url": "https://rywalker.com/research/autokernel",
"checked_at": "2026-07-28T05:29:07.606Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Free",
"price": "Free",
"period": null,
"persona": "free",
"highlights": [
"Open source under MIT",
"No hosted or paid tier",
"Users pay their own GPU time and LLM API usage"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://rywalker.com/research/autokernel"
],
"last_checked": null,
"how_to_connect": {
"website": "https://rywalker.com/research/autokernel",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 365,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:31:24.888Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}