High Risk →

memory_clean

Run garbage collection on memories. Archives decayed (unused) memories, removes expired ones, deduplicates near-identical entries, and syncs MEMORY.md. Use after consolidation or when memory feels cluttered.

Part of the Nan Forget server.

memory_clean can trigger actions in Nan Forget, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke memory_clean to trigger processes or run actions in Nan Forget. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

memory_clean can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_clean": {
      "limits": [
        {
          "counter": "memory_clean_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Nan Forget policy for all 13 tools.

Get this rule live on your own Nan Forget server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access memory_clean gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so memory_clean only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the memory_clean tool do? +

Run garbage collection on memories. Archives decayed (unused) memories, removes expired ones, deduplicates near-identical entries, and syncs MEMORY.md. Use after consolidation or when memory feels cluttered.. It is categorised as a Execute tool in the Nan Forget MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on memory_clean? +

Register the Nan Forget MCP server in PolicyLayer and add a rule for memory_clean: 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 Nan Forget. Nothing to install.

What risk level is memory_clean? +

memory_clean is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit memory_clean? +

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

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

memory_clean is provided by the Nan Forget MCP server (nan-forget). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nan Forget tool call.

Deterministic rules across all 13 Nan Forget tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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