Save a key-value pair to persistent agent memory that survives across sessions. Returns a confirmation with the stored key. Use this to remember installed skills, user preferences, project context, or recent search queries. Call this proactively whenever you learn something worth remembering. Do ...
Part of the Loaditout MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use save_memory to create or modify resources in Loaditout. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call save_memory repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Loaditout.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
save_memory:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Loaditout policy for all 21 tools.
Agents calling write-class tools like save_memory have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Save a key-value pair to persistent agent memory that survives across sessions. Returns a confirmation with the stored key. Use this to remember installed skills, user preferences, project context, or recent search queries. Call this proactively whenever you learn something worth remembering. Do not store sensitive data like passwords or API keys. Retrieve saved memories with recall_memory.. It is categorised as a Write tool in the Loaditout MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for save_memory. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Loaditout MCP server.
save_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_memory rule in your Intercept 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 Intercept policy for save_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_memory is provided by the Loaditout MCP server (loaditout-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept