Updates contextual summary, tags or keywords for an existing note.
AI agents use update_note to create or update resources in A-MEM: Agentic Memory System — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A-MEM: Agentic Memory System environment.
This tool creates or modifies data in a reversible manner, fitting the Write category. Severity is medium because misuse could corrupt semantic relationships in the memory graph (e.g., applying wrong tags/keywords could degrade agent reasoning), but the changes are not irreversible and affect only metadata/summaries rather than core operational systems.
From the tool's definition Tool name 'update_note' and description 'Updates contextual summary, tags or keywords for an existing note' indicate modification of existing data.
Documented attack patterns abuse exactly the kind of access update_note 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 update_note:
{
"version": "1",
"default": "deny",
"tools": {
"update_note": {
"limits": [
{
"counter": "update_note_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_note stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Updates contextual summary, tags or keywords for an existing note. It is categorised as a Write tool in the A-MEM: Agentic Memory System MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the A-MEM: Agentic Memory System MCP server in PolicyLayer and add a rule for update_note: 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.
update_note 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 update_note 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 update_note. 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.
update_note 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.