memory-contract

To maintain agent context across sessions, use a unified memory contract that mandates explicit context retrieval at decision points and persistent storage of reasoning rationale. This approach ensures continuity and auditability for long-running tasks.

The best way to ensure reliable context retrieval is to apply a memory policy that mandates explicit memory retrieval before reasoning begins. This enforces context integrity by making the retrieval operation a mandatory step in the agent's task flow.

You can store context at value boundaries by invoking a memory storage tool to preserve summaries after each reasoning step. This captures the rationale at critical points in the task flow, enabling later auditability.

If memory tools fail during a session, a properly configured memory contract ensures graceful fallback. This allows the agent's reasoning process to continue operating reliably without crashing when storage or retrieval operations encounter errors.

You need a framework that supports explicit memory retrieval and storage operations, such as Flowbaby integration. The memory contract applies across decision points and session boundaries to guide when to retrieve and store memories.

You should retrieve prior decisions before planning the next step of a long-running task. Retrieving context at these decision points maintains reasoning continuity and ensures the agent has the necessary history to proceed accurately.