diff --git a/agents/examples/agent/client.ts b/agents/examples/agent/client.ts
deleted file mode 100644
index 4eb8f47e..00000000
--- a/agents/examples/agent/client.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import { createClient } from "rivetkit/client";
-import type { registry } from "./index";
-
-const client = createClient<typeof registry>("http://localhost:6420");
-
-const agent = client.agent.getOrCreate(["agent-123"]).connect();
-agent.on("token", (delta: string) => process.stdout.write(delta));
-await agent.queue.send("message", { text: "hello!" });
diff --git a/agents/examples/agent/index.ts b/agents/examples/agent/index.ts
deleted file mode 100644
index 7e87bf06..00000000
--- a/agents/examples/agent/index.ts
+++ /dev/null
@@ -1,28 +0,0 @@
-import { actor, setup } from "rivetkit";
-import { streamText, type ModelMessage } from "ai";
-import { openai } from "@ai-sdk/openai";
-
-// One actor per agent: its transcript is durable state, its inbox is a queue,
-// and its output streams to every connected client.
-export const agent = actor({
-	state: { messages: [] as ModelMessage[] },
-
-	run: async (c) => {
-		for await (const msg of c.queue.iter<{ text: string }>()) {
-			c.state.messages.push({ role: "user", content: msg.body.text });
-
-			const response = streamText({
-				model: openai("gpt-5"),
-				messages: c.state.messages,
-			});
-
-			for await (const delta of response.textStream) {
-				c.broadcast("token", delta);
-			}
-
-			c.state.messages.push({ role: "assistant", content: await response.text });
-		}
-	},
-});
-
-export const registry = setup({ use: { agent } });