teammate_save_memory

Save teammate session memory to disk

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/teammate-save-memory.md

WHAT IT DOES

What teammate_save_memory does on Hamza Agent Hub 252

AI agents use teammate_save_memory 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 teammate_save_memory is rated Medium

This tool writes session memory data to disk, which is a reversible modification operation. While it persists data, the write operation can be undone (memory can be deleted or overwritten).

From the tool's definition Tool name contains 'save' and description explicitly states 'Save teammate session memory to disk', indicating creation/modification of persistent data.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

teammate_save_memory Rate-limited

teammate_save_memory 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": {
    "teammate_save_memory": {
      "limits": [
        {
          "counter": "teammate_save_memory_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 teammate_save_memory call is checked against it from then on.

FAQ

Questions about teammate_save_memory

What does the teammate_save_memory tool do? +

Save teammate session memory to disk. 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 teammate_save_memory? +

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

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

Can I rate-limit teammate_save_memory? +

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

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

teammate_save_memory 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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Guides

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