remember
AI agents use remember to create or update resources in Chronos MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Chronos MCP environment.
The tool name 'remember' strongly implies storing or writing data to the persistent memory/knowledge graph system. The description is empty, so confidence is reduced. Based on the server's purpose and sibling tools (get_memory, forget, add_event, etc.), 'remember' likely creates or updates memory entries — a Write operation.
From the tool's definition Tool name 'remember' on a server described as providing 'persistent local memory and structured knowledge graph to track project states, tasks, and historical decisions'
Attacks that exploit this kind of access
remember. It is categorised as a Write tool in the Chronos MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Chronos MCP server in PolicyLayer and add a rule for 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 Chronos MCP. Nothing to install.
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 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 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.
remember is provided by the Chronos MCP server (kodaxadev/chronosmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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