AI agents call export_memories to retrieve information from OmniHub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Exporting memories as a Markdown document is a read operation: it queries all stored memories and serializes them into a document format. No data is created, modified, or deleted. The only concern is data exposure (bulk export of all personal memories), which raises the severity slightly above trivial, but it remains a Read-category action.
From the tool's definition 'Exports all memories as a Markdown document' — read-only operation that retrieves and formats existing data without modifying or deleting anything.
Attacks that exploit this kind of access
Exports all memories as a Markdown document. It is categorised as a Read tool in the OmniHub MCP Server, which means it retrieves data without modifying state.
Register the OmniHub MCP server in PolicyLayer and add a rule for export_memories: 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 OmniHub. Nothing to install.
export_memories 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 export_memories 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 export_memories. 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.
export_memories is provided by the OmniHub MCP server (malharrrr/omnihub). 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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