Loads the user's identity, preferences, facts, and recent session history from persistent cross-session storage. Default output is compact for strict MCP clients; call search_memory for narrow questions or pass full_content=true only when the full raw payload is required. Use IMMEDIATELY at the s...
AI agents call load_memory to retrieve information from UnClick without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
lite | boolean | — | When true, skips session summary bodies and returns compact identity, facts, and counts (default true) |
full_content | boolean | — | When true, returns the full raw memory payload. Use sparingly; strict clients may reject large tool results. |
num_sessions | number | — | Number of recent session summaries to load when lite=false (1-20, default 3) |
Parameters from the server's own tool schema.
This is a read operation that queries and retrieves stored user data. However, the sensitivity level is elevated to 'medium' rather than 'low' because the retrieved data includes personal identity information, preferences, and session history — categories of information that could be misused if exposed to an unauthorized agent or context.
From the tool's definition Tool description states it 'Loads the user's identity, preferences, facts, and recent session history from persistent cross-session storage' — the verb 'loads' and phrase 'retrieves' data with no modification indicated.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Loads the user's identity, preferences, facts, and recent session history from persistent cross-session storage. Default output is compact for strict MCP clients; call search_memory for narrow questions or pass full_content=true only when the full raw payload is required. Use IMMEDIATELY at the start of every session -- before responding to the user's first message, before calling any other tool. Trigger even when the opening message looks trivial: keywords like 'remember', 'recall', 'context', 'profile', 'facts about me', 'who am I', 'last time', 'preferences', 'pick up where we left off' all signal stored context exists. Also trigger after any context reset or tool reconnect, or any time you are unsure whether context was loaded this session. Do NOT skip because the first message is simple -- personal facts change how almost every answer should be framed. Do NOT trigger for pure factual lookups (capitals, math, definitions) that require no personal context. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
load_memory accepts 3 parameters: lite, full_content, num_sessions. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for load_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 UnClick. Nothing to install.
load_memory 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 load_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 load_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.
load_memory is provided by the UnClick MCP server (@unclick/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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