Mac Optimizing Looper
macOS menu-bar agent that periodically analyzes CPU/RAM usage via Claude, identifies resource hogs, and suggests one-click fixes with safety verification befor…
What it does
The specific capability behind this listing, and where to get it.
Mac Optimizing Looper
macOS menu-bar agent that periodically analyzes CPU/RAM usage via Claude, identifies resource hogs, and suggests one-click fixes with safety verification befor…
Agentery has not yet captured structured capability detail for this provider.
Official Mac Optimizing Looper 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 Mac Optimizing Looper 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 AI Compute Optimization Infra
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": "mac_optimizing_looper",
"name": "Mac Optimizing Looper",
"url": "https://github.com/kargnas/mac-optimizing-looper",
"logo": "https://github.com/kargnas.png?size=200",
"niche": "ai-compute-optimization-infra",
"category": "developer-tools-infra",
"short_summary": "macOS menu-bar agent that periodically analyzes CPU/RAM usage via Claude, identifies resource hogs, and suggests one-click fixes with safety verification befor…",
"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": 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": "2026-07-26T06:51:32.756Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/kargnas/mac-optimizing-looper"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/kargnas/mac-optimizing-looper",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 756,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:35:31.960Z",
"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."
}