Two specialised AI brains — one for execution, one for knowledge — connected by a self-correcting Reflexion loop. Your Kubernetes cluster is always one reflection away from optimal.
Critic evaluates · Hypothesis proposes · Actor executes
Most agentic systems collapse under load because they mix reasoning with retrieval in a single model pass. Warble Brain decouples them: Action Brain handles execution and tool-calling, Knowledge Brain handles retrieval and semantic context. Both are connected by the Reflexion loop — a multi-cycle self-correction mechanism that catches errors before they reach your cluster.
Explore the architectureStandard automation reacts. Reflexion predicts, explains, and self-corrects.
Executes multi-step Kubernetes remediations, HPA adjustments, and rollbacks via a Critic → Hypothesis → Actor loop. Safe by default — every action is policy-gated before it reaches your cluster.
Semantic retrieval over your runbooks, incident history, and live metrics in a 128k managed context window. Sub-10ms vector retrieval via Qdrant — no token bloat under load.
Every action is validated against OPA policies with pre-computed rollback commands stored atomically. Air-gapped perimeters and Workload Identity ensure zero standing privileges.
Correlate cost anomalies with deployments, right-size node pools, and terminate idle resources — governed by your spend policies, not guesswork.
Every agent decision — context snapshot, reasoning chain, Critic approval, execution result — immutably stored in Postgres. 90-day retention. Replayable on demand.
Up to 8 self-correction cycles per action. The Critic catches logical flaws and policy violations before the Actor fires — eliminating the category of 'confident but wrong' agent failures.
Connect your GKE cluster. Let Warble Brain handle the reasoning, Reflexion handle the corrections, and you handle what matters.