save_memory

THE RISK

Medium Risk

Why save_memory needs a policy

This tool modifies data reversibly by storing information in the agent's memory system. It is Write rather than Read (retrieval only), and not Destructive because saves are typically reversible via delete_memory. Severity is medium because misuse could pollute the knowledge base with false information, affecting downstream decisions, but the impact is contained to memory state rather than external systems.

From the tool's definition Tool name 'save_memory' indicates creation or modification of data in a memory/storage system. The description is empty, limiting certainty.

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

POLICY

How to control save_memory

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

policy.json

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

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.

Create a free account and register A-Modular-Kingdom — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More A-Modular-Kingdom tools

Destructive delete_memory Delete a specific memory by ID. Execute code_execute Execute Python code in a sandboxed subprocess and return stdout/stderr Execute browse_web Control a persistent browser. Actions: navigate (open URL), click (by CSS selector or x,y Execute text_to_speech Convert text to speech using various TTS engines. Can play audio directly or save to file. Write save_fact save_fact Write set_global_rule Set a permanent global rule that persists across all projects and sessions Read analyze_media Analyze image/video files with a local multimodal model via Ollama (e.g., gemma3:4b) Read health_check Check MCP server health and component status

All 14 A-Modular-Kingdom tools →

Write tools on other servers

M-Team MCP Server download_torrent YouTube MCP Server generate_video_title Android Forensics ADB MCP Server combine_reports 0xarchive web3_signup

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Argument validation → Checking tool call arguments against schema and policy before they run.
Scoped token → Per-person credentials that grant a defined subset of servers and tools.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about save_memory

What does the save_memory tool do? +

save_memory. It is categorised as a Write tool in the A-Modular-Kingdom 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 A-Modular-Kingdom 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 A-Modular-Kingdom. 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 A-Modular-Kingdom MCP server (masihmoafi/a-modular-kingdom). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every A-Modular-Kingdom tool call.

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

CHECK YOUR STACK →