AI agents call get_memory to retrieve information from Mem0 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves a single memory record from the mem0 memory service. It performs a read-only operation with no side effects—no data is created, modified, deleted, or executed. The blast radius if misused by an AI agent is minimal, limited to potential unauthorized access to stored memory data. Classification as Read is appropriate.
From the tool's definition Tool name 'get_memory' and description '获取单条记忆' (Chinese: 'get a single memory') indicate retrieval of data without modification or deletion.
Attacks that exploit this kind of access
获取单条记忆. It is categorised as a Read tool in the Mem0 MCP Server, which means it retrieves data without modifying state.
Register the Mem0 MCP server in PolicyLayer and add a rule for get_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 Mem0. Nothing to install.
get_memory 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 get_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 get_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.
get_memory is provided by the Mem0 MCP server (mem0-mcp-server). 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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