reinforce_memory
Boost a memory
This record as markdown: /tools/danielsimonjr-memory-mcp/reinforce-memory.md
What reinforce_memory does on Enhanced Knowledge Graph Memory Server
AI agents use reinforce_memory to create or update resources in Enhanced Knowledge Graph Memory Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enhanced Knowledge Graph Memory Server environment.
Why reinforce_memory is rated Medium
Reinforcing/boosting a memory implies updating its metadata (such as importance level or access count) within the knowledge graph. This is a reversible modification of existing data, fitting the Write category. The blast radius is low since it only adjusts a memory's weight/importance rather than creating or deleting data. Confidence is moderate due to the vague description.
From the tool's definition Tool name 'reinforce_memory' and description 'Boost a memory' — modifies an existing memory's attributes (e.g., importance or reinforcement score) reversibly.
Attacks that exploit this kind of access
The rule that runs reinforce_memory 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 reinforce_memory, this is the rule to start with:
reinforce_memory stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every reinforce_memory call is checked against it from then on.
Questions about reinforce_memory
Boost a memory. It is categorised as a Write tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for reinforce_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 Enhanced Knowledge Graph Memory Server. Nothing to install.
reinforce_memory is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the reinforce_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 reinforce_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.
reinforce_memory 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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