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Siclaw

An open-source AI agent that diagnoses Kubernetes infrastructure issues the way your best engineer does: gather context, form hypotheses, validate them in parallel, and produce evidence-backed conclusions. Read-only by default. Siclaw never modifies your cluster.

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What Makes Siclaw Different

Most AI ops tools are glorified chatbots — they run one command, show the output, and ask “what next?” Siclaw runs a complete investigation autonomously: 
You: "Pod payment-service is CrashLoopBackOff after deploying v2.3"

Siclaw:
  Phase 1  Gathered 12 signals (pod status, events, logs, recent deploys)
  Phase 2  Generated 3 hypotheses, ranked by evidence
  Phase 3  3 sub-agents validated hypotheses in parallel (47s)
  Phase 4  Root cause: OOMKilled — memory limit 256Mi insufficient for v2.3
           Confidence: 92% | Evidence chain: 4 signals
           Remediation: increase memory limit to 512Mi

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Key Capabilities

Deep Investigation

4-phase pipeline with parallel sub-agents. Not just Q&A — full root cause analysis with confidence scoring.

Investigation Memory

Learns from every investigation. Past diagnoses improve future hypotheses automatically.

Extensible Skills

Custom diagnostic playbooks with mandatory security review. Your team’s runbooks, executable by AI.

Multi-Channel

Terminal, Web UI, Slack, Lark. Same investigation engine, any interface.

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Quick Start

npx siclaw
Then describe your problem. Siclaw handles the rest.

Getting Started

Install and configure in under 5 minutes.

Your First Investigation

Walk through a complete diagnosis step by step.

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When to Use Siclaw

Good fit:
  • Kubernetes pod crashes, restarts, scheduling failures
  • Node issues (NotReady, resource pressure, kernel problems)
  • Network connectivity and DNS resolution problems
  • Deployment rollout failures and config drift
  • Recurring incidents where institutional knowledge matters
Not designed for:
  • Real-time alerting (use Prometheus/Grafana for that)
  • Automated remediation (Siclaw diagnoses, humans fix)
  • Non-Kubernetes infrastructure (cloud VMs, bare metal)