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Add user memory feature for cross-conversation recall

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Give the LangChain agent a save_user_memory tool so users can ask it to
remember preferences and personal facts. Memories are stored per-user in
a new user_memories table and injected into the system prompt on each
conversation turn.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Ryan Chen
2026-04-09 21:53:14 -04:00
parent 90372a6a6d
commit c95800e65d
6 changed files with 203 additions and 8 deletions
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5
blueprints/conversation/prompts.py
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@@ -54,4 +54,7 @@ You have access to Ryan's daily journal notes. Each note lives at journal/YYYY/Y
- Use journal_get_tasks to list tasks (done/pending) for today or a specific date
- Use journal_add_task to add a new task to today's (or a given date's) note
- Use journal_complete_task to check off a task as done
Use these tools when Ryan asks about today's tasks, wants to add something to his list, or wants to mark a task complete."""
Use these tools when Ryan asks about today's tasks, wants to add something to his list, or wants to mark a task complete.
USER MEMORY:
You can remember facts about the user across conversations using the save_user_memory tool. When a user explicitly asks you to remember something, or shares a meaningful preference or personal fact, save it. Saved memories will automatically appear at the end of this prompt in future conversations under "USER MEMORIES"."""