Medium Risk

add_message

Trigger: 1. AUTO-INVOKED: After every answer to save dialogue history. 2. USER INTENT: When user explicitly wants to

How to control add_message ↓

What add_message does on MemOS

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

Medium Risk

Why add_message needs a policy

This tool performs a reversible write operation—adding messages to a memory store. It creates new records in the dialogue history without deleting or modifying existing data. The blast radius is low because incorrect message storage is easily corrected by updating or re-recording. It does not execute arbitrary code, delete data irreversibly, or involve financial transactions.

From the tool's definition Tool description indicates it saves dialogue history (add_message), which is a write operation that creates/stores data. The trigger mechanism shows it 'saves' conversation data after answers, and can be 'invoked' to record user intent.

Risk signalsBulk/mass operation — affects multiple targets

Documented attack patterns abuse exactly the kind of access add_message gives an agent:

How to control add_message

PolicyLayer is an MCP gateway — it sits between your AI agents and MemOS, and nothing reaches the server without passing your rules. This is the rule we recommend for add_message:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_message": {
      "limits": [
        {
          "counter": "add_message_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

add_message 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.

  1. Create a free account and register MemOS — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about add_message

What does the add_message tool do? +

Trigger: 1. AUTO-INVOKED: After every answer to save dialogue history. 2. USER INTENT: When user explicitly wants to. It is categorised as a Write tool in the MemOS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_message? +

Register the MemOS MCP server in PolicyLayer and add a rule for add_message: 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 MemOS. Nothing to install.

What risk level is add_message? +

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

Can I rate-limit add_message? +

Yes. Add a rate_limit block to the add_message 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 add_message completely? +

Set action: deny in the PolicyLayer policy for add_message. 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 add_message? +

add_message is provided by the MemOS MCP server (memtensor/memos-api-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MemOS tool call.

Start from MemOS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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