High Risk →

compact_memories

Compact memory store by archiving cold/stale facts. Transitions eligible memories from cold to archived state. Run with dry_run=True first to preview changes. Args: dry_run: If True, only preview without making changes (default True).

How to control compact_memories ↓

AI agents invoke compact_memories to trigger actions in Qualixar/superlocalmemory. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

compact_memories triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

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

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

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

compact_memories stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Qualixar/superlocalmemory — 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.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the compact_memories tool do? +

Compact memory store by archiving cold/stale facts. Transitions eligible memories from cold to archived state. Run with dry_run=True first to preview changes. Args: dry_run: If True, only preview without making changes (default True). It is categorised as a Execute tool in the Qualixar/superlocalmemory MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on compact_memories? +

Register the Qualixar/superlocalmemory MCP server in PolicyLayer and add a rule for compact_memories: 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 Qualixar/superlocalmemory. Nothing to install.

What risk level is compact_memories? +

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

Can I rate-limit compact_memories? +

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

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

compact_memories is provided by the Qualixar/superlocalmemory MCP server (qualixar/superlocalmemory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Qualixar/superlocalmemory tool call.

Deterministic rules across all 59 Qualixar/superlocalmemory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

59 Qualixar/superlocalmemory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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