store_memory · Agent-Comm-Hub MCP: Risk & Policy

WHAT IT DOES

What store_memory does on Agent-Comm-Hub

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

WHY IT NEEDS A POLICY

Why store_memory needs a policy

This tool creates or modifies data in a shared memory system with reversible effects. While it writes data, it does not delete, execute code, or cause irreversible changes. The medium severity reflects that misuse could pollute shared memory across multiple agents (especially at 'collective' scope), but the impact is reversible via deletion or overwrite.

From the tool's definition Tool description indicates it 'stores a memory to Hub' with support for different visibility scopes (private, group, collective). The verb 'store' combined with the mention of persistence ('stored after can be recalled') indicates data creation/modification.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

store_memory Rate-limited

store_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": {
    "store_memory": {
      "limits": [
        {
          "counter": "store_memory_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Agent-Comm-Hub, so you can run agents against it safely.

FAQ

Questions about store_memory

What does the store_memory tool do? +

存储一条记忆到 Hub。支持 private（仅自己可见）、group（组内可见）、collective（全局可见）三种范围。存储后可通过 recall_memory 全文搜索召回。. It is categorised as a Write tool in the Agent-Comm-Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on store_memory? +

Register the Agent-Comm-Hub MCP server in PolicyLayer and add a rule for store_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 Agent-Comm-Hub. Nothing to install.

What risk level is store_memory? +

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

Can I rate-limit store_memory? +

Yes. Add a rate_limit block to the store_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 store_memory completely? +

Set action: deny in the PolicyLayer policy for store_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 store_memory? +

store_memory is provided by the Agent-Comm-Hub MCP server (liuboacean/agent-comm-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.