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
The interactive Reflexion terminal is available to beta operators. Sign in with your beta invite, or contact us for enterprise access.
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.