Search your personal knowledge base using semantic similarity. Returns entries most similar in meaning to your query.
AI agents call search_knowledge to retrieve information from Opencode Personal Knowledge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs semantic similarity search over a local vector database and only retrieves matching knowledge entries. It has no capability to create, modify, delete, or execute code. The operation is a pure query with no side effects, fitting the 'Read' category. Low severity because misuse would only expose existing knowledge the user already stored locally.
From the tool's definition Tool description states it 'Search[es] your personal knowledge base' and 'Returns entries most similar in meaning to your query.' The verb 'search' and 'returns' indicate read-only retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access search_knowledge gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Opencode Personal Knowledge, and nothing reaches the server without passing your rules. This is the rule we recommend for search_knowledge:
{
"version": "1",
"default": "deny",
"tools": {
"search_knowledge": {}
}
}search_knowledge is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search your personal knowledge base using semantic similarity. Returns entries most similar in meaning to your query. It is categorised as a Read tool in the Opencode Personal Knowledge MCP Server, which means it retrieves data without modifying state.
Register the Opencode Personal Knowledge MCP server in PolicyLayer and add a rule for search_knowledge: 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 Personal Knowledge. Nothing to install.
search_knowledge 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_knowledge 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_knowledge. 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_knowledge is provided by the Opencode Personal Knowledge MCP server (nocturnlabs/opencode-personal-knowledge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Opencode Personal Knowledge, 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.
15 Opencode Personal Knowledge tools catalogued and risk-classified — across an index of 43,000+ MCP servers.