Store a long-term memory in this MCP session namespace.
AI agents use memory.remember to create or update resources in ForLoop MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ForLoop MCP environment.
This tool writes/creates data (a memory entry) in a persistent session namespace. It is reversible (the sibling tool memory.delete can remove it), so it falls under Write rather than Destructive. Misuse could allow an AI agent to persist malicious or misleading information across sessions, giving it medium severity.
From the tool's definition Store a long-term memory in this MCP session namespace
Attacks that exploit this kind of access
Store a long-term memory in this MCP session namespace. It is categorised as a Write tool in the ForLoop MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ForLoop 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 ForLoop MCP. Nothing to install.
memory.remember is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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 ForLoop MCP server (master0ffate/forloop-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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