memory_context_pack
A write tool on the Agent-Memory-OS MCP server.
This record as markdown: /tools/agent-memory-os/memory-context-pack.md
What memory_context_pack does on Agent-Memory-OS
AI agents use memory_context_pack 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_context_pack is rated Medium
The tool's name indicates it 'packs' memory context—a reversible operation that likely creates, reorganizes, or compresses memory data. While the empty description reduces confidence, the pattern of sibling tools (consolidate, offload, reload) confirms this is a Write operation affecting stored memory state. It does not delete irreversibly, execute arbitrary code, or move money.
From the tool's definition Tool name 'memory_context_pack' and its membership in a memory management system alongside tools like 'memory_consolidate', 'memory_offload_context', and 'memory_snapshot_diff' suggest it modifies or restructures memory state.
Attacks that exploit this kind of access
The rule that runs memory_context_pack 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_context_pack, this is the rule to start with:
memory_context_pack 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_context_pack call is checked against it from then on.
Questions about memory_context_pack
memory_context_pack 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_context_pack: 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_context_pack 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_context_pack 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_context_pack. 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_context_pack 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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