Searches the semantic memory for specific information without refining a prompt.
AI agents call search_memory to retrieve information from OpenCode MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries stored semantic memory to retrieve information. It performs no side effects, does not modify or delete data, and does not execute external operations. It is a straightforward read operation analogous to a search or get function.
From the tool's definition Tool description states it 'Searches the semantic memory for specific information' — a pure retrieval operation with no modification, deletion, or execution capability.
Documented attack patterns abuse exactly the kind of access search_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OpenCode MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_memory:
{
"version": "1",
"default": "deny",
"tools": {
"search_memory": {}
}
}search_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Searches the semantic memory for specific information without refining a prompt. It is categorised as a Read tool in the OpenCode MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenCode MCP Server MCP server in PolicyLayer and add a rule for search_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 OpenCode MCP Server. Nothing to install.
search_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 search_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 search_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.
search_memory is provided by the OpenCode MCP Server MCP server (marlondivino/open-code-as-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OpenCode MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
5 OpenCode MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.