Update Memory

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Overview

User preferences, interests, and behaviors often evolve over time. The update operation lets you revise a stored memory, whether it’s updating facts and memories, rephrasing a message, or enriching metadata.

Mem0 supports both:

• Single Memory Update for one specific memory using its ID
• Batch Update for updating many memories at once (up to 1000)

This guide includes usage for both single update and batch update of memories through Mem0 Platform

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Use Cases

• Refine a vague or incorrect memory after a correction
• Add or edit memory with new metadata (e.g., categories, tags)
• Evolve factual knowledge as the user’s profile changes
• A user profile evolves: “I love spicy food” → later says “Actually, I can’t handle spicy food.”

Updating memory ensures your agents remain accurate, adaptive, and personalized.

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Update Memory

from mem0 import MemoryClient

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

memory_id = "your_memory_id"
client.update(
    memory_id=memory_id,
    text="Updated memory content about the user",
    metadata={"category": "profile-update"}
)

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Batch Update

Update up to 1000 memories in one call.

from mem0 import MemoryClient

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

update_memories = [
    {"memory_id": "id1", "text": "Watches football"},
    {"memory_id": "id2", "text": "Likes to travel"}
]

response = client.batch_update(update_memories)
print(response)

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Tips

• You can update both text and metadata in the same call.
• Use batchUpdate when you’re applying similar corrections at scale.
• If memory is marked immutable, it must first be deleted and re-added.
• Combine this with feedback mechanisms (e.g., user thumbs-up/down) to self-improve memory.

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More Details

Refer to the full Update Memory API Reference and Batch Update Reference for schema and advanced fields.

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Need help?

If you have any questions, please feel free to reach out to us using one of the following methods: