STORE SAVE REMEMBER CREATE - Store new information, facts, preferences, conversations, or knowledge. Use after searching to avoid duplicates. Keywords: save, remember, store, record, memorize, learn, retain, persist, create memory, add knowledge, save fact, store preference, remember conversation
AI agents use memory_store to create or update resources in MCP AI Memory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP AI Memory environment.
This tool creates new memory records by storing information, facts, preferences, and conversational context. It is reversible (memories can be deleted using memory_delete as shown in sibling tools), so it is Write rather than Destructive.
From the tool's definition Tool description explicitly states 'STORE SAVE REMEMBER CREATE - Store new information' and includes keywords 'save, remember, store, record, memorize, learn, retain, persist, create memory, add knowledge, save fact, store preference, remember conversation'.
Documented attack patterns abuse exactly the kind of access memory_store gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP AI Memory, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_store:
{
"version": "1",
"default": "deny",
"tools": {
"memory_store": {
"limits": [
{
"counter": "memory_store_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}memory_store 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.
Free to start. No card required.
STORE SAVE REMEMBER CREATE - Store new information, facts, preferences, conversations, or knowledge. Use after searching to avoid duplicates. Keywords: save, remember, store, record, memorize, learn, retain, persist, create memory, add knowledge, save fact, store preference, remember conversation. It is categorised as a Write tool in the MCP AI Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP AI Memory MCP server in PolicyLayer and add a rule for memory_store: 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 MCP AI Memory. Nothing to install.
memory_store 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 memory_store 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 memory_store. 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.
memory_store is provided by the MCP AI Memory MCP server (scanadi/mcp-ai-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 MCP AI Memory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
17 MCP AI Memory tools catalogued and risk-classified — across an index of 42,500+ MCP servers.