evi-session-restore

You can restore AI agent memory by executing a Python script during the SessionStart event, which loads existing context data and preserves the agent's interaction history. This ensures contextual continuity without starting from a blank slate.

Session restoration is the process of loading an agent's memory index and recent daily logs at the start of a new interaction. You need it when your agent must maintain a running history of user interactions and track task statuses across sessions.

To enable context continuity, configure your agent to run the session-start-restore script upon initialization. This automatically retrieves stored memory data, allowing the agent to recall recent interactions and previous task statuses immediately.

Yes, session restoration works by utilizing existing context data to rebuild the agent's memory index. It effectively maintains task tracking capabilities by ensuring the agent accesses its prior history and interaction logs during initialization.

Your AI agent loses its task status because new sessions typically start without loaded context data. Implementing a session restoration script during SessionStart resolves this by injecting the preserved memory index and recent daily logs.

Yes, you need Python to execute the session-start-restore.py script that enables context preservation. This script triggers during the SessionStart phase to load the agent's memory index and recent daily logs into the active environment.