Lists all stored notes from the memory graph.
AI agents call list_notes to retrieve information from A-MEM: Agentic Memory System without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns existing data (notes) from the memory graph without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal blast radius if misused by an AI agent—worst case being information disclosure of stored notes.
From the tool's definition Tool name 'list_notes' and description 'Lists all stored notes from the memory graph' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access list_notes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and A-MEM: Agentic Memory System, and nothing reaches the server without passing your rules. This is the rule we recommend for list_notes:
{
"version": "1",
"default": "deny",
"tools": {
"list_notes": {}
}
}list_notes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Lists all stored notes from the memory graph. It is categorised as a Read tool in the A-MEM: Agentic Memory System MCP Server, which means it retrieves data without modifying state.
Register the A-MEM: Agentic Memory System MCP server in PolicyLayer and add a rule for list_notes: 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 A-MEM: Agentic Memory System. Nothing to install.
list_notes 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 list_notes 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 list_notes. 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.
list_notes is provided by the A-MEM: Agentic Memory System MCP server (tobs-code/a-mem-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from A-MEM: Agentic Memory System, 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.
15 A-MEM: Agentic Memory System tools catalogued and risk-classified — across an index of 43,000+ MCP servers.