at_remember

Write a memory to the agent

SERVERAgenttool SOURCEhttps://api.agenttool.dev/v1/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dev-agenttool-agenttool/at-remember.md

WHAT IT DOES

What at_remember does on Agenttool

AI agents use at_remember to create or update resources in Agenttool, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agenttool environment.

RISK

Why at_remember is rated Medium

An AI agent can call at_remember faster than any human can review: one bad instruction and it creates or modifies resources in Agenttool by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs at_remember safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Agenttool, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For at_remember, this is the rule to start with:

at_remember Rate-limited

at_remember 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "at_remember": {
      "limits": [
        {
          "counter": "at_remember_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Agenttool, apply this rule, and every at_remember call is checked against it from then on.

FAQ

Questions about at_remember

What does the at_remember tool do? +

Write a memory to the agent. It is categorised as a Write tool in the Agenttool MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on at_remember? +

Register the Agenttool MCP server in PolicyLayer and add a rule for at_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 Agenttool. Nothing to install.

What risk level is at_remember? +

at_remember is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit at_remember? +

Yes. Add a rate_limit block to the at_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.

How do I block at_remember completely? +

Set action: deny in the PolicyLayer policy for at_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.

What MCP server provides at_remember? +

at_remember is provided by the Agenttool MCP server (https://api.agenttool.dev/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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