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memory_share

A write tool on the Agent-Memory-OS MCP server.

SERVERAgent-Memory-OS SOURCEyamantaka520/Agent-Memory-OS
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/agent-memory-os/memory-share.md

What memory_share does on Agent-Memory-OS

AI agents use memory_share 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_share is rated Medium

The tool's name and position within a collaborative memory management system indicate it creates or distributes memory artifacts to other agents/team members. While the description is empty, the context of a federated, ACL-controlled memory system implies the tool likely writes or shares data (potentially to multiple parties).

From the tool's definition Tool name 'memory_share' paired with a server that manages shared/team memory with 'private/team/project ACL' controls; sibling tools include 'memory_add', 'memory_link', and 'memory_orchestrate_context', suggesting this tool creates or modifies shared memory…

Questions about memory_share

What does the memory_share tool do? +

memory_share 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.

How do I enforce a policy on memory_share? +

Register the Agent-Memory-OS MCP server in PolicyLayer and add a rule for memory_share: 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.

What risk level is memory_share? +

memory_share is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit memory_share? +

Yes. Add a rate_limit block to the memory_share 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.

How do I block memory_share completely? +

Set action: deny in the PolicyLayer policy for memory_share. 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.

What MCP server provides memory_share? +

memory_share 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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