save_reconstructive_memory
Serialize the in-memory Cue\u2013Tag\u2013Content reconstructive graph to a JSON sidecar next to the storage file (<basename>-reconstructive.json). The CTC graph is process-local; save before shutdown to survive restarts.
This record as markdown: /tools/danielsimonjr-memory-mcp/save-reconstructive-memory.md
What save_reconstructive_memory does on Enhanced Knowledge Graph Memory Server
AI agents use save_reconstructive_memory to create or update resources in Enhanced Knowledge Graph Memory Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Enhanced Knowledge Graph Memory Server environment.
Why save_reconstructive_memory is rated Medium
Writes graph data to persistent storage file; reversible and non-destructive operation.
From the tool's definition Serialize graph to JSON sidecar file; persist in-memory data before shutdown.
Attacks that exploit this kind of access
The rule that runs save_reconstructive_memory 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 save_reconstructive_memory, this is the rule to start with:
save_reconstructive_memory 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 Enhanced Knowledge Graph Memory Server, apply this rule, and every save_reconstructive_memory call is checked against it from then on.
Questions about save_reconstructive_memory
Serialize the in-memory Cue\u2013Tag\u2013Content reconstructive graph to a JSON sidecar next to the storage file (<basename>-reconstructive.json). The CTC graph is process-local; save before shutdown to survive restarts. It is categorised as a Write tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for save_reconstructive_memory: 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.
save_reconstructive_memory 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 save_reconstructive_memory 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 save_reconstructive_memory. 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.
save_reconstructive_memory 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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