Zylver Agents
Multi-agent systems that ship production-ready
Starter kits for the four roles every production agent system needs: classify, route, review, distill. Observability, cost caps, and policy hooks included from day one.
The problem
Single-model AI hits a ceiling fast.
Real production workloads need multiple specialized agents coordinating, not one giant prompt. You end up reinventing routing, fault isolation, observability, and cost control every time. Teams burn a quarter on plumbing before the system runs reliably.
Agents ships the plumbing. You bring the domain logic.
What's inside each kit
Templates, not frameworks.
Every kit is a drop-in package with typed interfaces, tests, and an example workflow. Fork it, customize it, ship it.
Classifier agents
Turn unstructured inputs (documents, messages, tickets) into typed categories. Confidence scoring, fallback paths, and human-review thresholds pre-wired.
Router agents
Pick the right specialist for the job: by cost, latency, quality, or policy. Circuit breakers and provider-agnostic routing built in.
Reviewer agents
Multi-agent review patterns: red-team, critic, judge. Every review decision is logged with rationale for audit.
Distiller agents
Watch for repeated patterns and convert expensive LLM calls into deterministic, near-zero-cost functions. The pattern that powers Zylver Meter.
Topologies
Match the shape to the problem.
Hierarchical
Orchestrator delegates to specialists. Good fit for multi-step workflows with clear decomposition.
Mesh
Agents consult each other peer-to-peer. Works for open-ended research and consensus tasks.
Pipeline
Input flows through an ordered chain of transformations. Deterministic where you want it.
Star
Central reviewer coordinates fan-out and fan-in. Best for ensemble reasoning and reconciliation.
Where teams ship it
Use cases on the waitlist today.
Skip the plumbing phase.
Agents is in staged early access. Waitlist members get the first cohort invite and locked-in pricing.