AI agents call memory_remember to retrieve information from Locus without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name indicates recall/retrieval functionality rather than creation, modification, or deletion. No description is provided, which reduces confidence slightly, but the naming convention and context of a memory storage system suggest this is a read operation. Sibling tools like memory_explore and memory_calendar appear to be read operations from the same memory store.
From the tool's definition Tool name 'memory_remember' suggests retrieval of stored data from local persistent memory. Given sibling tools include read operations (memory_audit, memory_explore, memory_calendar) and the server stores 'project context and conversation recall locally',…
Documented attack patterns abuse exactly the kind of access memory_remember gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Locus, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_remember:
{
"version": "1",
"default": "deny",
"tools": {
"memory_remember": {}
}
} memory_remember is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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memory_remember. It is categorised as a Read tool in the Locus MCP Server, which means it retrieves data without modifying state.
Register the Locus MCP server in PolicyLayer and add a rule for memory_remember: 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 Locus. Nothing to install.
memory_remember is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the memory_remember 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 memory_remember. 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.
memory_remember is provided by the Locus MCP server (magnifico4625/locus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Locus, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 Locus tools catalogued and risk-classified — across an index of 43,000+ MCP servers.