Your agents should use a shared database when you control the writers and can define one current state; they should use a context lake when agents, sources, and future questions keep changing.

A database holds the answer your system has agreed on, while a context lake preserves the records from which an agent can decide what is true now.

Many setups need both.

Fulcra gives agents the context-lake half without requiring you to design every future agent in advance.

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Why doesn’t one database stop agents from disagreeing?

A shared database is good at maintaining canonical state for appointments, customers, or anything else with a stable definition. The schema cannot decide whether a tentative hold outranks a confirmed appointment, whether a transcript proves that a meeting happened, or whether one agent may replace another agent’s conclusion. You still have to encode those rules.

Postgres can store flexible jsonb documents and append-only events, so this is not really SQL versus lake. The choice is between agreed state and retained evidence.

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Why does adding agents strain the schema?

The agents you build yourself inherit your nouns. The next agent may have its own idea of a meeting, commitment, person, or fact. You can translate every contribution into your schema, but then you are maintaining an adapter for every new writer and deciding what information gets discarded on the way in.

A context lake accepts a smaller contract: preserve the record, its source, and its place in time, then interpret it when a question is asked. Conflicting claims can coexist instead of competing for one row.

A context lake does not stop agents from disagreeing, but it preserves the evidence they need to explain the disagreement and decide which claim still holds.

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Do you actually have to choose?

You can use both because they do different jobs: the context lake keeps the evidence, while databases and derived views provide current answers. The useful boundary is whether a piece of information has settled meaning. If it has, put it behind a contract; if it has not, keep the source material that will let an agent interpret it later.

Fulcra gives agents access to the same context lake through MCP, the CLI, the Python SDK, or the Life API. Its update endpoint shows what arrived since an agent last checked. Connect your agent by giving it Fulcra’s agent onboarding instructions.