Low Risk

memory_search

IMPORTANT: Call this DURING the conversation whenever you encounter a topic that may have prior context — auth, deployment, testing, architecture, tooling, etc. Do NOT wait for the user to ask. If the topic might have been discussed in any past session or project, search for it. Searches across A...

Part of the Nan Forget server.

memory_search is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call memory_search to retrieve information from Nan Forget without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though memory_search only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "memory_search": {}
  }
}

See the full Nan Forget policy for all 13 tools.

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These attack patterns abuse exactly the kind of access memory_search gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so memory_search only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the memory_search tool do? +

IMPORTANT: Call this DURING the conversation whenever you encounter a topic that may have prior context — auth, deployment, testing, architecture, tooling, etc. Do NOT wait for the user to ask. If the topic might have been discussed in any past session or project, search for it. Searches across ALL projects automatically — decisions from Project A surface in Project B. This is your long-term memory. Use it like you would use your own recall. Depth 1 = summaries, depth 2 = full content, depth 3 = full + associated memories.. It is categorised as a Read tool in the Nan Forget MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_search? +

Register the Nan Forget MCP server in PolicyLayer and add a rule for memory_search: 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 Nan Forget. Nothing to install.

What risk level is memory_search? +

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

Can I rate-limit memory_search? +

Yes. Add a rate_limit block to the memory_search 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_search completely? +

Set action: deny in the PolicyLayer policy for memory_search. 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_search? +

memory_search is provided by the Nan Forget MCP server (nan-forget). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nan Forget tool call.

Deterministic rules across all 13 Nan Forget tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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