Trigger: User explicitly asks to delete memories. Purpose: Delete memories by ID. STRICT RULES: 1. PREREQUISITE: If the user did NOT provide IDs, you MUST call \
AI agents call delete_memory to permanently remove resources in MemOS — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly removes memory data from the MemOS system. Deletion cannot be undone—once memories are deleted by ID, they are gone. This is a core destructive operation. While the blast radius depends on what memories are deleted, the capability to permanently erase user memories (which are core to the system's purpose) represents a high-severity risk if misused by an agent.
From the tool's definition Tool name is 'delete_memory' and description states 'Delete memories by ID.' The verb 'delete' indicates irreversible removal of data.
Documented attack patterns abuse exactly the kind of access delete_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MemOS, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_memory:
{
"version": "1",
"default": "deny",
"hide": [
"delete_memory"
]
} delete_memory disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Trigger: User explicitly asks to delete memories. Purpose: Delete memories by ID. STRICT RULES: 1. PREREQUISITE: If the user did NOT provide IDs, you MUST call \. It is categorised as a Destructive tool in the MemOS MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the MemOS MCP server in PolicyLayer and add a rule for delete_memory: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MemOS. Nothing to install.
delete_memory is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_memory rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for delete_memory. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
delete_memory is provided by the MemOS MCP server (memtensor/memos-api-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MemOS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 MemOS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.