memory_store

Store information in semantic memory

SERVERHamza Agent Hub 252 SOURCEhamzachallenge3-dev/hamza-agent-hub-252

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/hamza-agent-hub-252/memory-store.md

WHAT IT DOES

What memory_store does on Hamza Agent Hub 252

AI agents use memory_store to create or update resources in Hamza Agent Hub 252, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hamza Agent Hub 252 environment.

RISK

Why memory_store is rated Medium

This tool writes/creates data by storing information into a semantic memory system. It is reversible in principle (data can be deleted or overwritten), so Write is appropriate rather than Destructive. Misuse could allow an AI agent to implant false or malicious memories into the swarm's shared knowledge base, giving it medium severity.

From the tool's definition "Store information in semantic memory"

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs memory_store safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_store, this is the rule to start with:

memory_store Rate-limited

memory_store 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_store": {
      "limits": [
        {
          "counter": "memory_store_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 Hamza Agent Hub 252, apply this rule, and every memory_store call is checked against it from then on.

FAQ

Questions about memory_store

What does the memory_store tool do? +

Store information in semantic memory. It is categorised as a Write tool in the Hamza Agent Hub 252 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_store? +

Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for memory_store: 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 Hamza Agent Hub 252. Nothing to install.

What risk level is memory_store? +

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

Can I rate-limit memory_store? +

Yes. Add a rate_limit block to the memory_store 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_store completely? +

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

memory_store is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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