hive-mind_memory
Access hive shared memory Use when native Task is wrong because you need queen-led collective intelligence — Byzantine-FT consensus, broadcast across many worker agents, shared memory with bounded conflict. For a single subagent, native Task is fine. Pair with swarm_init first to set topology.
This record as markdown: /tools/io-github-ruvnet-claude-flow/hive-mind-memory.md
What hive-mind_memory does on Claude Flow
AI agents call hive-mind_memory 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 hive-mind_memory is rated Low
The tool is described as 'Access hive shared memory,' which suggests a read operation. However, 'shared memory with bounded conflict' implies possible write/update semantics as well (e.g., consensus-based updates). The description is ambiguous about whether this tool only reads or also writes to shared memory.
From the tool's definition 'Access hive shared memory' — primary action is accessing/reading shared memory; no explicit write, delete, or execute semantics described
Attacks that exploit this kind of access
The rule that runs hive-mind_memory 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 hive-mind_memory, this is the rule to start with:
hive-mind_memory 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 hive-mind_memory call is checked against it from then on.
Questions about hive-mind_memory
Access hive shared memory Use when native Task is wrong because you need queen-led collective intelligence — Byzantine-FT consensus, broadcast across many worker agents, shared memory with bounded conflict. For a single subagent, native Task is fine. Pair with swarm_init first to set topology. 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 hive-mind_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 Claude Flow. Nothing to install.
hive-mind_memory 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 hive-mind_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.
Set action: deny in the PolicyLayer policy for hive-mind_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.
hive-mind_memory 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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