memory_remember

Stores approved tenant-local team context for later vector retrieval. Requires team:write. Content is safety-scanned, isolated to the OAuth tenant, and never used for cross-tenant learning.

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-remember.md

WHAT IT DOES

What memory_remember does on Hamza Agent Hub 252

AI agents use memory_remember 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_remember is rated Medium

Creates and modifies tenant-local context data reversibly. Safety-scanned isolation mitigates cross-tenant risks.

From the tool's definition Stores context for later retrieval; tenant-local; requires team:write.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs memory_remember 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_remember, this is the rule to start with:

memory_remember Rate-limited

memory_remember 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_remember": {
      "limits": [
        {
          "counter": "memory_remember_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_remember call is checked against it from then on.

FAQ

Questions about memory_remember

What does the memory_remember tool do? +

Stores approved tenant-local team context for later vector retrieval. Requires team:write. Content is safety-scanned, isolated to the OAuth tenant, and never used for cross-tenant learning. 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_remember? +

Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for memory_remember: 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_remember? +

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

Can I rate-limit memory_remember? +

Yes. Add a rate_limit block to the memory_remember 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_remember completely? +

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

memory_remember 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

More on Hamza Agent Hub 252, and thousands of servers like it.

This server

All 581 Hamza Agent Hub 252 tools →

Across the catalogue

The MCP Attack Database →

Guides

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