Most teams default to stateful AI agents without asking whether they should. This tool walks you through five lenses — financial, security, compliance, architectural complexity, and use case fit — and produces a recommendation based on your specific answers.
Answer five questions. Get a recommendation built around your answers — not a generic one.
A reference for your architecture team.
| Stateless | Stateful | Hybrid | |
|---|---|---|---|
| Cost | Low — predictable, scales linearly | Higher — memory storage, retrieval, context window growth | Moderate — selective memory keeps costs manageable |
| Security Surface | Minimal — blast radius resets every session | Larger — grows with accumulated context over time | Controlled — defined memory scope limits exposure |
| Governance Overhead | Low — no retention policies needed | High — retention, expiry, access controls, audit trails | Medium — governance scoped to retained context types only |
| Architectural Complexity | Low — no session state to manage | High — memory management, drift detection, expiry policies | Medium — complexity contained to the memory layer |
| Use Case Fit | One-off tasks, high volume, independent interactions | Ongoing relationships, personalisation, multi-session workflows | Mixed environments, enterprise default, evolving use cases |
| Scalability | Excellent — horizontally scalable with no state overhead | Complex — state management adds scaling constraints | Good — stateless core scales freely, memory layer managed separately |