ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents

Researchers have introduced ElephantBroker, an open-source cognitive runtime system that combines knowledge graphs with vector storage to create more trustworthy AI agents with verifiable memory. The system implements comprehensive safety measures, evidence verification, and multi-organizational access controls for enterprise AI deployments.

• →ElephantBroker addresses critical trust and factual grounding issues in large language model-based AI agents through verifiable memory systems.
• →The system combines Neo4j knowledge graphs with Qdrant vector storage through the Cognee SDK for durable agent memory.
• →It features comprehensive safety measures including an AI firewall, multi-tier scanning, and hierarchical access controls for enterprise use.
• →The modular design supports multiple deployment configurations from lightweight agents to full enterprise-grade cognitive runtimes.
• →Over 2,200 tests validate the system's correctness across unit, integration, and end-to-end testing levels.