hippo_remember
FORGIA #202. Store one fact directly in semantic
This record as markdown: /tools/verimem/hippo-remember.md
What hippo_remember does on Verimem
AI agents use hippo_remember to create or update resources in Verimem, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Verimem environment.
Why hippo_remember is rated Medium
This tool creates a new fact in the memory engine. It is a write operation (reversible in principle, especially given the server's GDPR-grade forget capability). Misuse could lead to injection of false or misleading facts into the agent's memory, which could propagate errors downstream, justifying a medium severity rating.
From the tool's definition "Store one fact directly in semantic" — the tool writes/creates a new memory entry in the semantic store.
Attacks that exploit this kind of access
The rule that runs hippo_remember safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Verimem, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hippo_remember, this is the rule to start with:
hippo_remember 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 Verimem, apply this rule, and every hippo_remember call is checked against it from then on.
Questions about hippo_remember
FORGIA #202. Store one fact directly in semantic. It is categorised as a Write tool in the Verimem MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Verimem MCP server in PolicyLayer and add a rule for hippo_remember: 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 Verimem. Nothing to install.
hippo_remember 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 hippo_remember 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 hippo_remember. 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.
hippo_remember is provided by the Verimem MCP server (aureliocpr-ctrl/verimem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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