Run the cognitive maintenance loop on the memory store. This performs background processing that keeps the memory system healthy: - Checks for decaying memories that need review - Consolidates similar memories into summaries - Scans for contradictions between memories - Mines for recurring patter...
AI agents invoke memory_think to trigger actions in Yantrikdb. 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.
This tool executes a multi-step maintenance process that modifies the memory system's state through consolidation and scanning operations. While not destructive (memories are not irreversibly deleted) and not a simple read operation (it actively processes and reorganizes data), it clearly runs procedural code that transforms the memory store.
From the tool's definition Tool description states it 'performs background processing' including consolidation, conflict scanning, and pattern mining.
Documented attack patterns abuse exactly the kind of access memory_think gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Yantrikdb, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_think:
{
"version": "1",
"default": "deny",
"tools": {
"memory_think": {
"limits": [
{
"counter": "memory_think_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}memory_think 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.
Free to start. No card required.
Run the cognitive maintenance loop on the memory store. This performs background processing that keeps the memory system healthy: - Checks for decaying memories that need review - Consolidates similar memories into summaries - Scans for contradictions between memories - Mines for recurring patterns across memories Call this periodically or when you want the memory system to 'reflect'. Args: run_consolidation: Whether to merge similar memories (default True). run_conflict_scan: Whether to scan for contradictions (default True). run_pattern_mining: Whether to detect patterns (default True). Returns a summary of what the cognition loop found and did. It is categorised as a Execute tool in the Yantrikdb MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Yantrikdb MCP server in PolicyLayer and add a rule for memory_think: 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 Yantrikdb. Nothing to install.
memory_think 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 memory_think 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_think. 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_think is provided by the Yantrikdb MCP server (yantrikos/yantrikdb-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Yantrikdb tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
14 Yantrikdb tools catalogued and risk-classified — across an index of 42,500+ MCP servers.