Search long-term conversation memory using hybrid vector + keyword search.
AI agents call memory_search to retrieve information from MemoryClaw without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries stored memory data without side effects. It is a read-only operation that searches and returns results from the persistent memory store. No data is created, modified, deleted, or executed—only queried. The low severity reflects the minimal risk: misuse would only expose existing stored conversation data to the agent, not cause irreversible changes or trigger external operations.
From the tool's definition Tool performs search of memory using 'vector + keyword search' with no description of data modification, deletion, or execution capabilities. The function is explicitly a search/retrieval operation.
Documented attack patterns abuse exactly the kind of access memory_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MemoryClaw, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_search:
{
"version": "1",
"default": "deny",
"tools": {
"memory_search": {}
}
}memory_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search long-term conversation memory using hybrid vector + keyword search. It is categorised as a Read tool in the MemoryClaw MCP Server, which means it retrieves data without modifying state.
Register the MemoryClaw MCP server in PolicyLayer and add a rule for 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 MemoryClaw. Nothing to install.
memory_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the 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.
Set action: deny in the PolicyLayer policy for 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.
memory_search is provided by the MemoryClaw MCP server (tostechbr/memoryclaw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MemoryClaw, 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.
6 MemoryClaw tools catalogued and risk-classified — across an index of 43,000+ MCP servers.