Store a value with optional tags, priority, and storage duration in months (default 1). value_json must be ≤ 1 MB. On overwrite, the existing expiry is scaled by the KB size ratio of old to new value.
Part of the AI Cortex Storage server.
Free to start. No card required.
AI agents use put_memory to create or modify resources in AI Cortex Storage. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call put_memory repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach AI Cortex Storage.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"put_memory": {
"limits": [
{
"counter": "put_memory_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full AI Cortex Storage policy for all 15 tools.
These attack patterns abuse exactly the kind of access put_memory gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Store a value with optional tags, priority, and storage duration in months (default 1). value_json must be ≤ 1 MB. On overwrite, the existing expiry is scaled by the KB size ratio of old to new value.. It is categorised as a Write tool in the AI Cortex Storage MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AI Cortex Storage MCP server in PolicyLayer and add a rule for put_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 AI Cortex Storage. Nothing to install.
put_memory 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 put_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.
Set action: deny in the PolicyLayer policy for put_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.
put_memory is provided by the AI Cortex Storage MCP server (https://memory.aic0rt3x.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 15 AI Cortex Storage tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.