memory_sync_push
AI agents use memory_sync_push to create or update resources in Junto Memory — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Junto Memory environment.
An AI agent can call memory_sync_push faster than any human can review — one bad instruction and it creates or modifies resources in Junto Memory by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
memory_sync_push. It is categorised as a Write tool in the Junto Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Junto Memory MCP server in PolicyLayer and add a rule for memory_sync_push: 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 Junto Memory. Nothing to install.
memory_sync_push 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_sync_push 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_sync_push. 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_sync_push is provided by the Junto Memory MCP server (tlemmons/junto-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.