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The Knowledge Base stores durable facts so Slack Agent can reference them in future conversations instead of starting from scratch. Knowledge follows Slack’s privacy model: public channels write to shared workspace knowledge, while private channels and DMs keep their own isolated facts.

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Three ways to build knowledge

  • /learn: Explicitly capture facts from a thread or provide them directly. The most common way to add knowledge.
  • Knowledge proposals: After a run, Slack Agent may offer to save durable facts it discovered. Public channel proposals can auto-apply; private channels require confirmation.
  • Background curation: A weekly workflow refreshes existing knowledge from connected upstream systems automatically.

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Public vs. private knowledge

Knowledge boundaries follow Slack privacy boundaries.
Slack surfaceKnowledge behavior
Public channels and shared surfacesUse the global workspace Knowledge Base
Private channelsUse a private conversation Knowledge Base
DMs and group DMsUse a private conversation Knowledge Base
Think of the global Knowledge Base as shared memory and private conversation knowledge as an isolated overlay with selective shared context available for reference.

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Capturing knowledge with /learn

Use /learn to capture anything worth keeping: architectural decisions, operational facts, team conventions, or clarifications that would otherwise be lost. For example: 
/learn Our payments service retries failed charges exactly three times
with exponential backoff. After the third failure it marks the invoice
as requires_manual_review.
Slack Agent saves the fact and references it in future conversations. You can review and manage saved facts in the web app.

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What’s next

Working in Slack

See how /learn fits into normal Slack workflows.

Thread reviews

Inspect the run details and artifacts behind a conversation before deciding what knowledge should be preserved.

Knowledge Base overview

Read the broader CodeRabbit docs for how Knowledge Base concepts work across the product.