memory_usage

Manage coordination memory (V2 compatible). Deprecated: Use memory/store, memory/search, or memory/list instead.

SERVERRuflo SOURCEruvnet/ruflo

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ruflo/memory-usage.md

WHAT IT DOES

What memory_usage does on Ruflo

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

RISK

Why memory_usage is rated Medium

The tool 'manages' memory, which implies read and write capabilities. The deprecation notice references both 'memory/store' (Write) and 'memory/search' / 'memory/list' (Read), suggesting this tool spans both. Since 'manage' and 'store' imply write/create operations, Write is the most appropriate category. Confidence is moderate because the description is vague and deprecated, making exact behavior unclear.

From the tool's definition Manage coordination memory (V2 compatible). Deprecated: Use memory/store, memory/search, or memory/list instead.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs memory_usage safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_usage, this is the rule to start with:

memory_usage Rate-limited

memory_usage 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.

View as policy code

policy.json

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

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every memory_usage call is checked against it from then on.

FAQ

Questions about memory_usage

What does the memory_usage tool do? +

Manage coordination memory (V2 compatible). Deprecated: Use memory/store, memory/search, or memory/list instead. It is categorised as a Write tool in the Ruflo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on memory_usage? +

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

What risk level is memory_usage? +

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

Can I rate-limit memory_usage? +

Yes. Add a rate_limit block to the memory_usage 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_usage completely? +

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

memory_usage is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Ruflo, and thousands of servers like it.

This server

All 496 Ruflo tools →

Across the catalogue

team_manager_write_memory on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →