memory_applied
A read tool on the 0CompactMem MCP server.
This record as markdown: /tools/soolaugust-0compactmem/memory-applied.md
What memory_applied does on 0CompactMem
AI agents call memory_applied to retrieve information from 0CompactMem without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why memory_applied is rated Low
Even though memory_applied only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs memory_applied safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0CompactMem, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_applied, this is the rule to start with:
memory_applied is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 0CompactMem, apply this rule, and every memory_applied call is checked against it from then on.
Questions about memory_applied
memory_applied is a read tool on the 0CompactMem MCP server. It is categorised as a Read tool in the 0CompactMem MCP Server, which means it retrieves data without modifying state.
Register the 0CompactMem MCP server in PolicyLayer and add a rule for memory_applied: 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 0CompactMem. Nothing to install.
memory_applied is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the memory_applied 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_applied. 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_applied is provided by the 0CompactMem MCP server (soolaugust/0compactmem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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