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Correcting Knowledge

BaseLayer extracts knowledge automatically. Sometimes it gets things wrong. Maybe it thinks a colleague works at the wrong company, or it confused two projects with similar names. You can correct your vault using natural language. Just tell your AI what’s wrong.

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How to make corrections

In any MCP-connected AI (Claude, ChatGPT, etc.), simply state the correction:
“BaseLayer thinks Sarah works at Acme Corp, but she actually moved to Stripe last month.”
“The payments project is called ‘Atlas’, not ‘Atlas Migration’.”
“Mark and David are two different people. BaseLayer merged them.”
Your AI will use the remember tool to update the relevant entities in your vault.

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Using the remember tool directly

If you want to be precise, you can ask your AI to call remember with specific details:
“Remember that Sarah Chen’s current employer is Stripe, as of January 2026.”
This creates or updates the entity with the correct information. Previous versions are preserved. BaseLayer tracks entity history, so corrections don’t destroy context.

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Removing incorrect knowledge

If BaseLayer created an entity that shouldn’t exist at all, use the forget tool:
“Forget the entity called ‘Project Omega’. That was just a hypothetical I mentioned once.”
The forget tool has a two-step process: it first shows you what will be removed, then asks for confirmation before deleting.
Corrections propagate through your vault. If you update a person’s employer, that relationship is updated everywhere it appears.

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Preventing future errors

The dream engine learns from corrections. If you fix the same type of error repeatedly, the extraction process adapts. Your vault gets more accurate over time.