MCP for agent memory: Graphiti + FalkorDB for persistent, multi-tenant knowledge graphs

Graphiti and FalkorDB combine to create a robust system for managing agent memory by converting conversations into persistent, isolated knowledge graphs, addressing common issues in multi-tenant environments like data leaks and unreliable memory states. Graphiti uses group_id-based multi-tenancy to ensure that data from different users or projects remains separate, preventing cross-contamination. FalkorDB serves as the underlying graph database, enabling low-latency retrieval that is crucial for reducing hallucinations in production AI agents. These technologies leverage the Model Context Protocol (MCP) to standardize integrations between AI clients and external tools, facilitating seamless connectivity and reducing the need for custom connectors. This approach provides a durable, queryable memory structure that improves the reliability and inspectability of agent operations, allowing for better handling of facts across multiple sessions and users.

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