save_memory

Persist an explicit or deliberately autonomous private-MAPI memory.

SERVERMapi Agent Memory SOURCEcabo0m/mapi-agent-memory

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/mapi-agent-memory/save-memory.md

WHAT IT DOES

What save_memory does on Mapi Agent Memory

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

RISK

Why save_memory is rated Medium

This tool creates or modifies memory records in a system designed for 'auditable memory and governance for AI agents.' While it performs a write operation (persistence of data), it is reversible through other tools on the server like 'apply_memory_hygiene' and is not destructive.

From the tool's definition Tool description states 'Persist an explicit or deliberately autonomous private-MAPI memory,' which indicates creating or storing data (memory records).

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs save_memory safely

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

save_memory Rate-limited

save_memory 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": {
    "save_memory": {
      "limits": [
        {
          "counter": "save_memory_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 Mapi Agent Memory, apply this rule, and every save_memory call is checked against it from then on.

FAQ

Questions about save_memory

What does the save_memory tool do? +

Persist an explicit or deliberately autonomous private-MAPI memory. It is categorised as a Write tool in the Mapi Agent Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_memory? +

Register the Mapi Agent Memory MCP server in PolicyLayer and add a rule for save_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 Mapi Agent Memory. Nothing to install.

What risk level is save_memory? +

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

Can I rate-limit save_memory? +

Yes. Add a rate_limit block to the save_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.

How do I block save_memory completely? +

Set action: deny in the PolicyLayer policy for save_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.

What MCP server provides save_memory? +

save_memory is provided by the Mapi Agent Memory MCP server (cabo0m/mapi-agent-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Guides

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