memory_context

Get memories relevant to current context. Uses time-weighted scoring: score = importance × decay(age). Pinned memories are exempt. Returns effective_score on each memory.

Server Mementos @hasna/mementos
Category Read
Risk class Low
Parameters 00 required

What memory_context does on Mementos

AI agents call memory_context to retrieve information from Mementos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why memory_context needs a policy

This tool retrieves and queries stored memories based on contextual scoring. It performs read-only operations with no capability to create, modify, delete, or execute external operations. The scoring mechanism is internal computation for ranking results, not an action that changes state.

From the tool's definition Tool description explicitly states it 'Get memories relevant to current context' and 'Returns effective_score on each memory' — pure data retrieval with no modifications, deletions, or side effects.

Questions about memory_context

What does the memory_context tool do? +

Get memories relevant to current context. Uses time-weighted scoring: score = importance × decay(age). Pinned memories are exempt. Returns effective_score on each memory. It is categorised as a Read tool in the Mementos MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_context? +

Register the Mementos MCP server in PolicyLayer and add a rule for memory_context: 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 Mementos. Nothing to install.

What risk level is memory_context? +

memory_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit memory_context? +

Yes. Add a rate_limit block to the memory_context 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.

How do I block memory_context completely? +

Set action: deny in the PolicyLayer policy for memory_context. 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.

What MCP server provides memory_context? +

memory_context is provided by the Mementos MCP server (@hasna/mementos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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