As AI agents transition from experimental prototypes to production systems, they increasingly rely on persistent memory stores to maintain context across sessions. Whether using LangChain's ConversationBufferMemory , CrewAI's memory system, or custom vector databases, this memory is what makes agents "smart" and context-aware. However, this same memory introduces a critical new attack surface: Agent Memory Poisoning (OWASP ASI06) . If an attacker can inject malicious instructions into an agent's memory store, those instructions will be retrieved and executed in future sessions—potentially affecting other users or hijacking the agent's core functions. This is a form of persistent, indirect prompt injection. To address this, I've built OWASP Agent Memory Guard , an open-source scanner designed specifically to detect and prevent memory poisoning attacks in AI agents. What is OWASP Agent Memory Guard?…