Two Brains.
One Reflexion Loop.
Most agentic systems collapse under real production load because they mix reasoning with retrieval in a single model pass. Warble Brain decouples them. An Action Brain executes. A Knowledge Brain retrieves. A Reflexion loop keeps both honest.
Orchestrates multi-step agentic workflows, external tool calls, and Kubernetes remediation actions. The Action Brain reasons over live cluster state and executes with surgical precision — no human in the loop required.
- Dynamic tool-call routing across 50+ Kubernetes APIs
- Critic → Hypothesis → Actor loop for safe auto-remediation
- Rollback-aware execution with configurable blast-radius limits
- Real-time audit trail to Postgres — every decision is traceable
High-speed semantic retrieval over your infrastructure knowledge graph. Runbooks, incident history, compliance policies, and live metrics — all queryable in a single 128k-token managed context window.
- Qdrant vector store with sub-10ms p99 retrieval
- Automatic runbook ingestion from Git, Confluence, or Notion
- Semantic deduplication prevents token bloat under load
- Context cache with TTL-aware invalidation on topology changes
Agents that catch their own mistakes
Before any action reaches your cluster, it passes through up to 8 Reflexion cycles. The Critic evaluates the proposed action against live state and policy constraints. If it fails the evaluation, the Hypothesis layer generates an alternative. The Actor only fires when the Critic approves — making self-correction a first-class primitive, not an afterthought.
Air-Gapped by Default
Every agent in Warble Brain operates inside isolated network service perimeters. The Action Brain cannot reach the public internet without explicit egress rules. The Knowledge Brain has no write access to cluster state. Least-privilege identity is enforced at the Workload Identity level — not as a config option.
Production Use Cases
Warble Brain is not a chatbot wrapper. These are operational workflows running on live GKE clusters today.
Autonomous Incident Response
Knowledge Brain surfaces relevant runbooks. Action Brain applies the fix. Reflexion loop validates the outcome. Mean-time-to-remediation drops from hours to minutes.
FinOps & Cost Optimisation
Knowledge Brain correlates spend anomalies against workload history. Action Brain right-sizes nodes and terminates idle resources — governed by your spend policies.
Compliance Drift Detection
Knowledge Brain continuously evaluates cluster state against your OPA policies. Action Brain patches misconfigs before auditors see them.
Capacity & Scaling Intelligence
Knowledge Brain models traffic patterns and SLA thresholds. Action Brain adjusts HPA and node pools ahead of demand spikes — not reactively.
Reflexion AI — The Cockpit
Warble Brain is the engine. Reflexion AI is the interface. The Reflexion Cockpit gives SREs and platform teams full observability over every reasoning cycle, action execution, and cost event — in a single pane of glass at warblecloud.ai.
Warble Brain powers Reflexion AI and Starling CLI — by Warble Cloud / ChirpStack LLP