Run all periodic maintenance tasks in a single call. Combines Langevin dynamics stepping, Ebbinghaus forgetting decay, and behavioral pattern mining into one convenient maintenance cycle. Clients should call this periodically (e.g., at session end). Args: profile_id: Profile to maintain (default:...
AI agents invoke run_maintenance 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.
This tool executes complex maintenance operations whose effects depend on which profile is targeted. While not destructive (it applies forgetting decay and pattern mining rather than permanent deletion), it triggers external computational processes that alter the state of the memory system. It is not a simple read operation, nor does it create/modify user-facing data reversibly in the typical write sense.
From the tool's definition Tool description states it 'Run[s] all periodic maintenance tasks' and 'Combines Langevin dynamics stepping, Ebbinghaus forgetting decay, and behavioral pattern mining into one convenient maintenance cycle.' These are algorithmic operations that modify…
Documented attack patterns abuse exactly the kind of access run_maintenance 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 run_maintenance:
{
"version": "1",
"default": "deny",
"tools": {
"run_maintenance": {
"limits": [
{
"counter": "run_maintenance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}run_maintenance 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.
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Run all periodic maintenance tasks in a single call. Combines Langevin dynamics stepping, Ebbinghaus forgetting decay, and behavioral pattern mining into one convenient maintenance cycle. Clients should call this periodically (e.g., at session end). Args: profile_id: Profile to maintain (default: active profile). 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.
Register the Qualixar/superlocalmemory MCP server in PolicyLayer and add a rule for run_maintenance: 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.
run_maintenance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_maintenance 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.
Set action: deny in the PolicyLayer policy for run_maintenance. 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.
run_maintenance 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.
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.