langchain - 💡(How to fix) Fix Security: OWASP Agent Memory Guard – protect against memory poisoning attacks [1 comments, 2 participants]

Security Resource for LangChain Users

Hi LangChain team and community! 👋

I wanted to share a security tool that's directly relevant to LangChain-based AI agents:

OWASP Agent Memory Guard (pip install agent-memory-guard)

It's an OWASP-backed Python middleware that detects and blocks memory poisoning attacks in LLM agents — including:

• Prompt injection via memory (adversarial content stored in vector DBs that hijacks agent behavior on recall)
• Semantic drift detection (memories that gradually shift agent behavior over time)
• Anomaly detection in memory read/write patterns

It integrates with LangChain's memory components with just a few lines:

from agent_memory_guard import MemoryGuard
from langchain.memory import ConversationBufferMemory

memory = ConversationBufferMemory()
guarded_memory = MemoryGuard(memory)

This addresses OWASP LLM Top 10 #A06 (Sensitive Information Disclosure) and #A01 (Prompt Injection) specifically for the memory layer.

Would love feedback from the LangChain team on integration patterns. Happy to contribute docs or examples if helpful!

GitHub: https://github.com/OWASP/www-project-agent-memory-guard PyPI: https://pypi.org/project/agent-memory-guard/