Agents with memory: how Agno and SurrealDB enable reliable AI systems

In a recent discussion hosted by SurrealDB, CEO Tobie Morgan-Hitchcock and Agno founder Ashpreet Singh explored how Agno's Agent OS and SurrealDB combine to create reliable AI systems with memory capabilities. Agno offers a high-performance multi-agent framework that includes a harness for running language models, a deployable runtime, and a user interface for managing agents, while SurrealDB provides the memory and knowledge layer that enhances the agents' context comprehension. The integration focuses on addressing key challenges in building agent systems, such as ensuring reliability and delivering relevant context, instead of relying on larger context windows. SurrealDB serves as a comprehensive data store that supports structured facts, vectors, graph relationships, and time series, facilitating precise information retrieval that enhances the performance and consistency of AI agents. The collaboration is part of a broader vision to develop reliable, memory-capable agents that can eventually evolve from domain-specific applications to larger, interconnected workflows within organizations.