Walrus Memory: AI Agent Memory Layer

Walrus Memory has launched to support AI agents in continuing their work without losing context even after a session ends.

Previously, implementing memory for agents required complex combinations of databases, vector stores, and application logic. Walrus Memory solves this by providing a Portable Memory Layer.

The key features are as follows:

• Easy Integration: Memory functionality can be implemented in an agent with just two calls, remember and recall.
• Continuity Assurance: Agents can maintain state across apps and sessions, and collaborate by sharing knowledge based on previous work.
• Data Control: Users have full control over their data, and can build trustworthy workflows through verifiable data.