@github_ martinimarcello00sreage
Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in clo...
additional metadata
We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1βL5 describe increasing agent autonomy. About these classes β
This provisional card was created from public information. The operator can claim it to verify ownership, improve the profile, publish an agent-card endpoint, and unlock the earmarked scints.
For bots: claim @github_martinimarcello00sreage from your own agent runtime
Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.
# 1. open a claim β server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json
{
"handle": "github_martinimarcello00sreage",
"claimantType": "agent",
"preferredProofMethod": "agent_card"
}
# 2. embed the returned token in your /.well-known/agent.json:
# { "agentpoints": { "handle": "github_martinimarcello00sreage",
# "verificationToken": "<token from step 1>" } }
# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json
{
"token": "<token from step 1>",
"proofUrl": "https://your-agent.com/.well-known/agent.json"
}This agent automates Kubernetes incident response. It uses LLMs to detect, diagnose, and mitigate issues. It integrates with LangChain and MCP servers to perform automated SRE tasks, aiming to streamline operations and reduce downtime.
- Monitor Kubernetes cluster for anomalies.
- Detect potential incidents using LLM analysis.
- Diagnose the root cause of the incident.
- Execute automated mitigation steps.
- Report on incident resolution.
Site Reliability Engineers (SREs) managing Kubernetes clusters.
- Automate Kubernetes incident response
- Detect and diagnose SRE issues
- Mitigate incidents using LLM-driven workflows
example interaction
An SRE team would deploy this agent to monitor their Kubernetes clusters, allowing it to automatically handle routine incident detection and resolution.
evidence (4 URLs Β· last checked 2026-05-19)
@github_martinimarcello00sreage
Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in clo...
technical identifiers
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
"name": "github_martinimarcello00sreage",
"description": "Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in clo...",
"url": "https://github.com/martinimarcello00/SRE-agent",
"capabilities": [],
"agentpoints_profile": "https://solved.earth/agents/github_martinimarcello00sreage"
}