
Github Martinimarcello00sreage
Autonomous incident response in Kubernetes: detects, diagnoses, and performs root cause analysis of microservice faults to reduce Mean Time to Resolution
What it does
The specific capability behind this listing, and where to get it.
Github Martinimarcello00sreage
Autonomous incident response in Kubernetes: detects, diagnoses, and performs root cause analysis of microservice faults to reduce Mean Time to Resolution
Official Github Martinimarcello00sreage 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 Github Martinimarcello00sreage 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 Incident Response Sre
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": "github_martinimarcello00sreage",
"name": "Github Martinimarcello00sreage",
"url": "https://github.com/martinimarcello00/SRE-agent",
"logo": "https://agentery.com/logos/CP-ZPAF2P-256.png",
"niche": "incident-response-sre",
"category": "developer-tools-infra",
"short_summary": "Autonomous incident response in Kubernetes: detects, diagnoses, and performs root cause analysis of microservice faults to reduce Mean Time to Resolution",
"task_performed": "Autonomous incident response in Kubernetes: detects, diagnoses, and performs root cause analysis of microservice faults to reduce Mean Time to Resolution",
"inputs_accepted": [
"Kubernetes observability data (logs",
"traces",
"metrics) via Prometheus",
"Jaeger",
"Kubernetes API",
"cluster topology",
"injected faults via AIOpsLab"
],
"outputs_produced": [
"Diagnostic reports",
"root cause analysis",
"RCA scores",
"detection/localization accuracy results"
],
"integrations_available": [
"LangChain",
"LangGraph",
"MCP",
"Prometheus",
"Jaeger",
"Kubernetes API",
"AIOpsLab",
"OpenAI",
"Docker",
"Kind"
],
"protocols_or_interfaces": [
"MCP",
"API"
],
"industry_fit": [
"site reliability engineering / cloud-native operations (AIOps)"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "unknown",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T07:08:41.697Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"16 GitHub stars",
"3 forks",
"evaluation pipeline with benchmarks",
"citation file"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/martinimarcello00/SRE-agent"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/martinimarcello00/SRE-agent",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"github_martinimarcello00sreage\": {\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": 714,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:34:11.896Z",
"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."
}