run_decay_cycle
Run a single pass of time-based importance decay across all agent memories. Returns count of decayed and forgotten memories.
This record as markdown: /tools/danielsimonjr-memory-mcp/run-decay-cycle.md
What run_decay_cycle does on Enhanced Knowledge Graph Memory Server
AI agents invoke run_decay_cycle to trigger actions in Enhanced Knowledge Graph Memory Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why run_decay_cycle is rated High
This tool executes a decay operation across all memories, modifying importance levels and potentially causing memories to be 'forgotten' (removed or deprioritized). While it may not permanently delete records, it triggers a bulk automated operation with side effects on all agent memories. The scope (all memories) and irreversibility of decay/forgetting makes this high severity.
From the tool's definition 'Run a single pass of time-based importance decay across all agent memories' and 'Returns count of decayed and forgotten memories'
Attacks that exploit this kind of access
The rule that runs run_decay_cycle safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_decay_cycle, this is the rule to start with:
run_decay_cycle stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every run_decay_cycle call is checked against it from then on.
Questions about run_decay_cycle
Run a single pass of time-based importance decay across all agent memories. Returns count of decayed and forgotten memories. It is categorised as a Execute tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for run_decay_cycle: 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 Enhanced Knowledge Graph Memory Server. Nothing to install.
run_decay_cycle is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_decay_cycle 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 run_decay_cycle. 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.
run_decay_cycle is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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