Agent Memory Guard

Agent Memory Guard is included in the Awesome MLSecOps AI Agent and MCP Security directory. The community-maintained README describes it as: “OWASP project providing a runtime defense layer that screens AI agent memory reads and writes against prompt injection, secret leakage, and memory poisoning.” Its MLSecOps relevance is the security of agent identities, tool permissions, memory, credentials, approval paths, sandboxes, runtime actions, or MCP integrations. The linked first-party source is the OWASP/www-project-agent-memory-guard repository on GitHub. A technical review should test the project's documented evidence across four criteria: Tool-level authorization, Memory and context controls, Sandbox boundaries, and Audit and approval workflows. Compare that evidence with the intended architecture and threat model. Catalog inclusion establishes relevance to this security category; it is not a certification, comparative ranking, or endorsement. Confirm current capabilities, maintenance, licensing, limitations, and deployment assumptions in the first-party documentation before adoption.

OWASP project providing a runtime defense layer that screens AI agent memory reads and writes against prompt injection, secret leakage, and memory poisoning

Neutral catalog description synchronized from the Awesome MLSecOps README