retrieve_memory

Retrieve the top-k memories most similar to the query.

SERVERCogniRepo SOURCEpypi:cognirepo
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade A, identity unverified Pull the record →

This record as markdown: /tools/ashlesh-t-cognirepo/retrieve-memory.md

What retrieve_memory does on CogniRepo

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

Why retrieve_memory is rated Low

This tool queries an existing memory store and returns results based on similarity matching. It has no side effects, does not modify data, execute code, delete records, or perform financial operations. It is a straightforward read operation that retrieves information from persistent memory without altering it.

From the tool's definition Tool name is 'retrieve_memory' and description states 'Retrieve the top-k memories most similar to the query.' The verb 'retrieve' and the read-only nature of querying a memory store with no modification or execution describe a data retrieval operation.

Questions about retrieve_memory

What does the retrieve_memory tool do? +

Retrieve the top-k memories most similar to the query. It is categorised as a Read tool in the CogniRepo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on retrieve_memory? +

Register the CogniRepo MCP server in PolicyLayer and add a rule for retrieve_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 CogniRepo. Nothing to install.

What risk level is retrieve_memory? +

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

Can I rate-limit retrieve_memory? +

Yes. Add a rate_limit block to the retrieve_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.

How do I block retrieve_memory completely? +

Set action: deny in the PolicyLayer policy for retrieve_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.

What MCP server provides retrieve_memory? +

retrieve_memory is provided by the CogniRepo MCP server (pypi:cognirepo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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