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
This tool retrieves or queries data from a semantic memory store without side effects. It is purely informational and does not create, modify, delete, or execute any operations. The low severity reflects minimal blast radius—a misused search query cannot corrupt data or trigger unintended external actions.
From the tool's definition Tool performs a 'Search' operation on 'semantic memory' with no indication of modification, deletion, or execution. The HNSW (Hierarchical Navigable Small World) algorithm is a read-only vector search mechanism.
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
Search semantic memory using HNSW. 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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