Low Risk

mnemos.memory_search

Search MNEMOS memory (PYTHIA). Semantic+keyword.

How to control mnemos.memory_search ↓

What mnemos.memory_search does on Mnemos

AI agents call mnemos.memory_search to retrieve information from Mnemos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why mnemos.memory_search needs a policy

This tool performs a read-only search operation against persistent memory. It retrieves data based on semantic and keyword matching but does not create, modify, delete, or execute any operations. The blast radius of misuse is minimal—an agent could retrieve sensitive information from memory, but cannot alter, destroy, or execute code. Classified as Read with low severity.

From the tool's definition Tool description states 'Search MNEMOS memory' which is a retrieval operation. The term 'Search' combined with 'Semantic+keyword' indicates querying/searching existing data without modification.

Documented attack patterns abuse exactly the kind of access mnemos.memory_search gives an agent:

How to control mnemos.memory_search

PolicyLayer is an MCP gateway — it sits between your AI agents and Mnemos, and nothing reaches the server without passing your rules. This is the rule we recommend for mnemos.memory_search:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "mnemos.memory_search": {}
  }
}

mnemos.memory_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Mnemos — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about mnemos.memory_search

What does the mnemos.memory_search tool do? +

Search MNEMOS memory (PYTHIA). Semantic+keyword. It is categorised as a Read tool in the Mnemos MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on mnemos.memory_search? +

Register the Mnemos MCP server in PolicyLayer and add a rule for mnemos.memory_search: 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 Mnemos. Nothing to install.

What risk level is mnemos.memory_search? +

mnemos.memory_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit mnemos.memory_search? +

Yes. Add a rate_limit block to the mnemos.memory_search 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 mnemos.memory_search completely? +

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

mnemos.memory_search is provided by the Mnemos MCP server (ncz-os/mnemos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mnemos tool call.

Start from Mnemos, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

15 Mnemos tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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