memory_replay
Retrieve a technique with a replay plan for the agent to execute. adapt=false: returns step-by-step replay plan for exact reconstruction. adapt=true: returns technique for creative adaptation.
This record as markdown: /tools/io-github-dreamrec-livepilot/memory-replay.md
What memory_replay does on Livepilot
AI agents call memory_replay to retrieve information from Livepilot without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why memory_replay is rated Low
The tool fetches a stored technique and returns a plan for the agent to use. The actual execution of that plan is a separate action. This is fundamentally a read/retrieval operation. Severity is low because misuse only returns an incorrect or unintended plan, not directly causing side effects.
From the tool's definition 'Retrieve a technique with a replay plan for the agent to execute' — the tool retrieves/returns data (a replay plan or technique description); it does not itself execute steps or modify state.
Attacks that exploit this kind of access
The rule that runs memory_replay safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livepilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For memory_replay, this is the rule to start with:
memory_replay is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Livepilot, apply this rule, and every memory_replay call is checked against it from then on.
Questions about memory_replay
Retrieve a technique with a replay plan for the agent to execute. adapt=false: returns step-by-step replay plan for exact reconstruction. adapt=true: returns technique for creative adaptation. It is categorised as a Read tool in the Livepilot MCP Server, which means it retrieves data without modifying state.
Register the Livepilot MCP server in PolicyLayer and add a rule for memory_replay: 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 Livepilot. Nothing to install.
memory_replay is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the memory_replay 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_replay. 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_replay is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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