AI-Native K8s Remediation

Specialized Agentic 01Agents for cluster troubleshoot

From CrashLoopBackOff to OOMKilled. Each failure mode gets a dedicated agent trained on its exact patterns, causes, and remediation paths, not a generic chatbot guessing its way through your config.

<500ms
end-to-end latency
9x
parameters evaluated
80%
auto-remediation rate

Built for Production Teams That Can't Afford to Guess

01Agent isn't a monitoring tool with AI features bolted on. It's an autonomous remediation system designed to understand the failure, evaluate the risk, and take action — or escalate with full context when it should.

Specialized agents, not one-size-fits-all models. Context-aware routing, not keyword matching. Confidence-based escalation, not hard-coded thresholds.

Live Decision Stream
New Event: CrashLoopBackOff
Assigned to CrashLoop Agent. Confidence: 94%
Root Cause: Missing ConfigMap
Evaluating blast radius and retry history...
Decision: AUTO-REMEDIATE
All parameters within threshold. Executing with rollback enabled.

Deep Expertise in Kubernetes Failure Patterns

Each skill represents specialized expertise to diagnose, understand, and remediate specific Kubernetes failure types. These aren't generic tools — they're trained on the exact patterns, causes, and resolution paths of their domain.

🔄

CrashLoop Skill

CrashLoopBackOff detection, config issue diagnosis, dependency failure analysis, resource constraint identification, targeted fix execution.

CrashLoopBackOff
🧠

OOM Skill

OOMKilled event tracing, memory usage trend analysis, resource limit evaluation, recurrence prevention, dynamic limit adjustment.

OOMKilled
📦

ImagePull Skill

ImagePullBackOff resolution, registry authentication diagnosis, network reachability testing, image availability verification, fallback strategy execution.

ImagePullBackOff
⚙️

CreateContainerError Skill

Container runtime error identification, configuration error detection, pod startup failure analysis, cascade prevention, early-stage remediation.

CreateContainerError
📅

FailedScheduling Skill

Pod scheduling failure diagnosis, node affinity conflict resolution, resource shortfall detection, taint mismatch analysis, optimal resolution path identification.

FailedScheduling
🚪

NonZeroExitCode Skill

Exit code analysis, application error tracing, dependency mapping, misconfiguration detection, root cause identification, resolution path recommendation.

Exit Code Analysis

Built for Teams That Can't Afford Gaps in Visibility

Every action, every decision, every escalation — fully logged and ready for review. 01Agents give operations and compliance teams a clear, continuous record of cluster activity without adding anything to their workload.

Decision history is queryable via API, exportable in JSON or CSV, and structured for postmortem review. When something needs to be explained — internally or externally — the answer is already there.

Audit Log Export
// Decision Log Entry #4821
{
"agent": "CrashLoopAgent",
"timestamp": "2025-02-18T02:14:31Z",
"confidence": 0.96,
"action": "patch_applied",
"validation": "passed",
"rollback": false
}
Export JSON
Export CSV
Query API

From Reactive to Proactive, Across Your Entire Cluster

01Agents are built to meet the operational demands of production environments — with measurable outcomes your team can rely on.

80%
of common Kubernetes alert types handled automatically by specialized agents, without human escalation.
<100ms
p99 latency for escalation decisions. Your team gets context fast when it matters most.
50%
reduction in false positive remediations through confidence-based routing and multi-parameter evaluation.
<500ms
end-to-end for full remediation workflows — from detection through validation and confirmation.
99%
availability for the A2A Gateway, ensuring continuous bidirectional communication across agent tiers.
<20%
escalation rate to human teams for handled alert types — keeping on-call load low without sacrificing safety.

Up and Running in Minutes. Reliable for the Long Term.

01

Deploy the Agent

Install 01Agents into your Kubernetes cluster via Helm or operator. Lightweight, non-intrusive, and ready to connect to your existing observability stack within minutes.

02

Continuous Monitoring Begins

The Main Orchestrator starts scanning all cluster components in real time — nodes, pods, deployments, services, and configurations — building a living picture of your environment's health.

03

Issues Are Detected and Classified

When an anomaly is detected, it's immediately routed to the appropriate specialized agent. Each agent brings deep, domain-specific knowledge to the diagnosis — not a generic ruleset.

04

The 9-Parameter Engine Evaluates the Path Forward

Before any action is taken, the escalation engine evaluates confidence, severity, blast radius, retry history, and more. The result: a clear, justified decision to auto-remediate or escalate.

05

Remediation Is Applied Safely

Approved actions are executed with a pre-apply state snapshot, dry-run validation, and post-apply confirmation. Automatic rollback is available at every step. Every action is logged.

Ready to See 01Agents in Action?

Explore the code, try it in your environment, and see how specialized agents can transform your Kubernetes operations.

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