adaptive_reduce_memories
Adaptively reduce a set of memories until their cognitive load falls below the configured threshold by removing low-salience redundant memories
This record as markdown: /tools/danielsimonjr-memory-mcp/adaptive-reduce-memories.md
What adaptive_reduce_memories does on Enhanced Knowledge Graph Memory Server
AI agents call adaptive_reduce_memories to permanently remove resources in Enhanced Knowledge Graph Memory Server, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why adaptive_reduce_memories is rated Critical
This tool removes memories from the knowledge graph based on salience scoring. Deletion of memories is irreversible — once removed, the stored knowledge is gone. The 'adaptive' and automated nature increases blast radius, as an AI agent could trigger removal of many important memories in a single operation without explicit per-item confirmation.
From the tool's definition adaptively reduce a set of memories... by removing low-salience redundant memories
Attacks that exploit this kind of access
The rule that runs adaptive_reduce_memories safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adaptive_reduce_memories, this is the rule to start with:
adaptive_reduce_memories is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every adaptive_reduce_memories call is checked against it from then on.
Questions about adaptive_reduce_memories
Adaptively reduce a set of memories until their cognitive load falls below the configured threshold by removing low-salience redundant memories. It is categorised as a Destructive tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for adaptive_reduce_memories: 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 Enhanced Knowledge Graph Memory Server. Nothing to install.
adaptive_reduce_memories is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the adaptive_reduce_memories 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 adaptive_reduce_memories. 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.
adaptive_reduce_memories is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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