This record as markdown: /tools/io-github-samarthanalytics-sj-samarth-gtm-mcp/remember-memory.md
What remember_memory does on Samarth Gtm Mcp
AI agents use remember_memory to create or update resources in Samarth Gtm Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Samarth Gtm Mcp environment.
Why remember_memory is rated Medium
Creates persistent assistant memory records reversibly; no external system impact.
From the tool's definition Save a durable NOTE to the assistant
Attacks that exploit this kind of access
The rule that runs remember_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Samarth Gtm Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For remember_memory, this is the rule to start with:
remember_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 Samarth Gtm Mcp, apply this rule, and every remember_memory call is checked against it from then on.
Questions about remember_memory
Save a durable NOTE to the assistant\. It is categorised as a Write tool in the Samarth Gtm Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Samarth Gtm MCP server in PolicyLayer and add a rule for remember_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 Samarth Gtm Mcp. Nothing to install.
remember_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 remember_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 remember_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.
remember_memory is provided by the Samarth Gtm MCP server (samarth-gtm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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