Hotfix mem0

[Osier-Yi]

AgentScope Version

[The version of AgentScope you are working on, e.g. import agentscope; print(agentscope.__version__)]

Description

in Mem0LongTermMemoy, record_to_memory: if user_id is provided, the content will be stored as user's memory
if self.user_id is not None:
message_role = "user"
else:
message_role = "assistant"
# here set infer to False to force the memory to be recorded as is
results = await self._mem0_record(
[
{
"role": message_role,
"content": "\n".join(content),
"name": message_role,
},
],
**kwargs,
)

Checklist

Please check the following items before code is ready to be reviewed.

• Code has been formatted with pre-commit run --all-files command
• All tests are passing
• Docstrings are in Google style
• Related documentation has been updated (e.g. links, examples, etc.)
• Code is ready for review

[DavdGao]

Please see inline comments

[Copilot]

Pull Request Overview

This pull request fixes the message role assignment in Mem0LongTermMemory's record_to_memory method. Previously, all recorded messages were hardcoded as "assistant" role. Now, when a user_id is provided during initialization, messages are correctly recorded with "user" role, otherwise they use "assistant" role.

Key Changes:

• Fixed role assignment logic in record_to_memory to dynamically set role based on user_id presence
• Updated example to use text-embedding-v3 with explicit dimensions configuration
• Simplified and restructured README documentation for better clarity

Reviewed Changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 1 comment.

File	Description
src/agentscope/memory/_mem0_long_term_memory.py	Added conditional logic to set message role based on user_id presence
examples/functionality/long_term_memory/mem0/memory_example.py	Updated embedding model version, added vector store configuration, and improved system prompt
examples/functionality/long_term_memory/mem0/README.md	Restructured documentation to be more concise and user-friendly

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[DavdGao]

LGTM