add_memory
AI agents use add_memory to create or update resources in Graphiti MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Graphiti MCP Server environment.
The tool adds new information to a knowledge graph, which is a reversible create/modify operation characteristic of Write category. It does not delete data (Destructive), execute arbitrary code (Execute), or move money (Financial).
From the tool's definition Tool name 'add_memory' combined with server description stating 'the ability to add new information to the graph' indicates this tool creates or modifies data in the knowledge graph.
Attacks that exploit this kind of access
add_memory. It is categorised as a Write tool in the Graphiti MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Graphiti MCP Server MCP server in PolicyLayer and add a rule for add_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 Graphiti MCP Server. Nothing to install.
add_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 add_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 add_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.
add_memory is provided by the Graphiti MCP Server MCP server (tesfandiari1/graphiti-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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