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Use this workflow when a business fact changed and you want to update the memories Humm uses in future conversations.

Before You Begin

You will need:
  • Your organization ID
  • A Humm API token
  • The Analyst API base URL, usually https://analyst.heyhumm.ai
Memories are best updated with a review step. Search first, inspect the current memory, then patch the specific content you want to change.
  1. Search for relevant memories with a broad natural-language query
  2. Pick the memory you want to change
  3. Fetch the full current memory
  4. Draft the updated content locally
  5. Review the diff
  6. Apply the PATCH
  7. Re-fetch the memory and verify the result

1. Search Memories

2. Fetch the Current Memory

Example response fields to keep:
  • id
  • content
  • tags
  • status
  • updated_at

3. Apply the Update

Update only the fields you want to change.

Python Example

TypeScript Example

Prompt Your Assistant

Verification

After the update, fetch the memory again:
Confirm:
  • The content matches the approved update
  • Tags are still correct
  • updated_at changed

Notes

  • Updating memory content through the API also refreshes the memory embeddings used for semantic search.
  • Use a low similarity threshold when searching if you are not sure how the memory was originally phrased.
  • If a fact is completely outdated, you can also reject or delete the memory instead of editing it.