memory_search
Searches tenant-local team memory using a tenant-separated RuVector index when available, with an explicitly labelled lexical fallback. Requires team:read. Results are fenced as untrusted stored data.
This record as markdown: /tools/io-github-ruvnet-claude-flow/memory-search.md
What memory_search does on Claude Flow
AI agents call memory_search to retrieve information from Claude Flow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why memory_search is rated Low
Query operation retrieving stored data with no side effects or state modification.
From the tool's definition Searches tenant-local team memory using RuVector index with lexical fallback.
Attacks that exploit this kind of access
The rule that runs memory_search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_search, this is the rule to start with:
memory_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude Flow, apply this rule, and every memory_search call is checked against it from then on.
Questions about memory_search
Searches tenant-local team memory using a tenant-separated RuVector index when available, with an explicitly labelled lexical fallback. Requires team:read. Results are fenced as untrusted stored data. It is categorised as a Read tool in the Claude Flow MCP Server, which means it retrieves data without modifying state.
Register the Claude Flow 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 Claude Flow. 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 Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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