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Overview

Memories can become outdated, irrelevant, or need to be removed for privacy or compliance reasons. Mem0 offers flexible ways to delete memory:

  1. Delete a Single Memory: Using a specific memory ID
  2. Batch Delete: Delete multiple known memory IDs (up to 1000)
  3. Filtered Delete: Delete memories matching a filter (e.g., user_id, metadata, run_id)

This page walks through code example for each method.

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Use Cases

  • Forget a user’s past preferences by request
  • Remove outdated or incorrect memory entries
  • Clean up memory after session expiration
  • Comply with data deletion requests (e.g., GDPR)

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1. Delete a Single Memory by ID

from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")

memory_id = "your_memory_id"
client.delete(memory_id=memory_id)

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2. Batch Delete Multiple Memories

from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")

delete_memories = [
    {"memory_id": "id1"},
    {"memory_id": "id2"}
]

response = client.batch_delete(delete_memories)
print(response)

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3. Delete Memories by Filter (e.g., user_id)

from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")

# Delete all memories for a specific user
client.delete_all(user_id="alice")

You can also filter by other parameters such as:

  • agent_id
  • run_id
  • metadata (as JSON string)

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Key Differences

MethodUse WhenIDs NeededFilters
delete(memory_id)You know exactly which memory to remove✔✘
batch_delete([...])You have a known list of memory IDs✔✘
delete_all(...)You want to delete by user/agent/run/etc✘✔

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More Details

For request/response schema and additional filtering options, see:

You’ve now seen how to add, search, update, and delete memories in Mem0.

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