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Use cases

Five problems. One memory layer that doesn't lie.

Mini problem stories for each buyer scenario — swarm races, silent overwrite, embedder loss, clinical safety, and the audit question you can't answer. Every claim maps to a demo you can run.

Swarm & multi-agent

Platform / agent infra engineers

Three agents wrote conflicting plan tiers. Who won — and can you prove it?

Read the scenario

Belief revision

Anyone shipping an agent that must be auditable

The agent changed its mind. Can you show the receipt?

Read the scenario

Clinical & patient records

Teams building agents over safety-critical records

A transcription bot overwrote the allergy. Did anyone notice?

Read the scenario

Indie devs & small teams

Individual developers and 1–5 person teams

You spent the afternoon debugging a forgotten fact. The embedder had failed.

Read the scenario

Enterprise & design partners

Funded startups and enterprises putting agents into production

Legal asked "why did the agent decide that?" Your memory layer had no answer.

Read the scenario

Honest by design.These are scenario-based use cases, not named-customer studies. Reliability claims are asymmetric proofs — we run CLS++ and link competitors' own open issues for the failure class. They are not head-to-head benchmarks.

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CLS++CLS++

Reliable memory for AI agents — never silently loses or overwrites a fact.

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