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Memory

Chat history is not memory you can audit

A long context window is not a memory system. It is a pile. Useful memory is a fact you can find, a decision you can correct, and a preference you can forget. Construct stores what it learns with evidence, so you are not arguing with a black box about what it 'remembers.'

Inspect agent memory

The cost of leaving it unencoded

  • The model is confident and wrong next week

    Without inspectable memory, last month's pricing exception becomes a vibe. The agent restates it, or invents a nearby version, and you only notice when a customer does.

  • You cannot correct what you cannot see

    Fine-tuning and 'custom instructions' hide the store. If you cannot list what the agent thinks is true, you cannot delete the thing that is stale.

  • Context windows dump everything in

    Pasting the last fifty messages into the next prompt is expensive and still misses the one decision from March. Retrieval without provenance is just a shorter pile.

What Construct actually does

  • Evidence on every memory

    Preferences, procedures, and project facts sit with history. You can see why something was stored instead of treating memory as a mysterious personality.

  • Correct, forget, restore

    Wrong memories get edited. Stale ones get forgotten. If you need the previous version, restore it. The store is yours, not a hidden model weight.

  • Temporal by default

    What was true in April may not be true in August. Memory that cannot be updated is how agents keep offering a plan you already abandoned.

  • Scoped to the workspace

    Memory lives in a user-owned MemorySpace, not in a vendor prompt that trains on your chats. Team and personal scopes stay separate.

Recommended reading

Two pieces from the library that go deeper on this job.

  • AI Agent Memory You Can Control

    Give an AI agent persistent memory with provenance, corrections, temporal context, and controls to inspect, update, forget, or restore what it knows.

  • What is an AI employee?

    Learn what an AI employee is, how it differs from a chatbot, and how Construct completes work across email, Slack, browser, and connected apps.

Why this is the product

  • Trust is an inspection problem

    People will not delegate real work to an agent whose beliefs they cannot read. Inspectable memory is the difference between a demo and an employee.

  • Forgetting is a feature

    A contractor who leaves, a price that changed, a project that died: the agent should not keep acting on those. Delete has to work.

  • This is not a chatbot with a longer thread

    An AI employee that cannot remember your stack, your voice, and your constraints will redo the briefing every morning. Memory is how the job compounds.

Inspect agent memory

Start in the cloud desktop. The same agent, files, and memory sit behind every use case on this site.

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