memory_update
A write tool on the Agent-Memory-OS MCP server.
This record as markdown: /tools/agent-memory-os/memory-update.md
What memory_update does on Agent-Memory-OS
AI agents use memory_update to create or update resources in Agent-Memory-OS, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agent-Memory-OS environment.
Why memory_update is rated Medium
The 'memory_update' tool modifies existing memory entries in the SQLite-backed memory store. This is a Write operation because it changes data reversibly without deletion or execution of arbitrary code. Severity is medium because misuse could corrupt agent memory state or overwrite important context, but the scope is limited to memory records rather than system-wide or financial impacts.
From the tool's definition Tool name 'memory_update' indicates modification of stored data. Sibling tools include 'memory_add' (clearly Write), 'memory_search' (Read), and 'memory_recall_feedback' (Write).
Attacks that exploit this kind of access
The rule that runs memory_update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agent-Memory-OS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_update, this is the rule to start with:
memory_update 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Agent-Memory-OS, apply this rule, and every memory_update call is checked against it from then on.
Questions about memory_update
memory_update is a write tool on the Agent-Memory-OS MCP server. It is categorised as a Write tool in the Agent-Memory-OS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent-Memory-OS MCP server in PolicyLayer and add a rule for memory_update: 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 Agent-Memory-OS. Nothing to install.
memory_update 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_update 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_update. 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_update is provided by the Agent-Memory-OS MCP server (yamantaka520/Agent-Memory-OS). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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