Cross-Session Memory: Injecting Past Session Summaries into System Prompts

Prompt for Generating a Session Summary (Session Summarizer)

System Prompt Structure with Past Memory

How to Implement Cross-Session Memory in an AI Agent

1. Open the Dashboard of your preferred AI Agent or LLM orchestration platform.
2. Access the 'System Prompt' or 'System Message' section in the agent configuration.
3. Create a dynamic placeholder within the System Prompt named {{session_summary}}.
4. Configure a database integration (such as Supabase or Pinecone) to store conversation history.
5. Set up a 'Post-Processing Step' to run after each session ends to generate a summary using AI.
6. Save that summary into the database, mapped to the specific User ID or Session ID.
7. Use an API Call or Logic Hook to fetch the latest summary from the database before a new session begins.
8. Inject the retrieved summary data into the {{session_summary}} placeholder in the System Prompt.
9. Click 'Save' or 'Deploy' to activate the long-term memory functionality.