diff --git a/src/auto_reverse/agent.py b/src/auto_reverse/agent.py
new file mode 100644
index 0000000..16c94de
--- /dev/null
+++ b/src/auto_reverse/agent.py
@@ -0,0 +1,73 @@
+from __future__ import annotations
+
+import json
+from typing import Any
+
+from auto_reverse.tools import Registry, tool_schemas
+
+MAX_ITERATIONS = 25
+
+
+class Agent:
+    """Conversational Claude tool-use loop driving browser/flows/doc tools."""
+
+    def __init__(self, client: Any, registry: Registry, model: str, system: str) -> None:
+        self._client = client
+        self._registry = registry
+        self._model = model
+        self._system = system
+        self._messages: list[dict[str, Any]] = []
+
+    def run_turn(self, user_message: str) -> str:
+        self._messages.append({"role": "user", "content": user_message})
+        for _ in range(MAX_ITERATIONS):
+            response = self._client.messages.create(
+                model=self._model,
+                max_tokens=4096,
+                system=self._system,
+                tools=tool_schemas(self._registry),
+                messages=self._messages,
+            )
+            self._messages.append(
+                {"role": "assistant", "content": self._serialize(response.content)}
+            )
+            tool_uses = [b for b in response.content if b.type == "tool_use"]
+            if not tool_uses:
+                return self._text_of(response.content)
+            results: list[dict[str, Any]] = []
+            for block in tool_uses:
+                results.append(self._run_tool(block))
+            self._messages.append({"role": "user", "content": results})
+        return "(stopped: reached max tool iterations)"
+
+    def _run_tool(self, block: Any) -> dict[str, Any]:
+        entry = self._registry.get(block.name)
+        if entry is None:
+            output: Any = {"error": f"unknown tool {block.name}"}
+        else:
+            _, handler = entry
+            try:
+                output = handler(block.input)
+            except Exception as exc:  # tool failure -> structured error so the agent can re-plan
+                output = {"error": str(exc)}
+        return {
+            "type": "tool_result",
+            "tool_use_id": block.id,
+            "content": json.dumps(output),
+        }
+
+    @staticmethod
+    def _serialize(content: list[Any]) -> list[dict[str, Any]]:
+        out: list[dict[str, Any]] = []
+        for b in content:
+            if b.type == "text":
+                out.append({"type": "text", "text": b.text})
+            elif b.type == "tool_use":
+                out.append(
+                    {"type": "tool_use", "id": b.id, "name": b.name, "input": b.input}
+                )
+        return out
+
+    @staticmethod
+    def _text_of(content: list[Any]) -> str:
+        return "".join(b.text for b in content if b.type == "text").strip()
diff --git a/tests/test_agent.py b/tests/test_agent.py
new file mode 100644
index 0000000..4ad5da9
--- /dev/null
+++ b/tests/test_agent.py
@@ -0,0 +1,53 @@
+from types import SimpleNamespace
+
+from auto_reverse.agent import Agent
+
+
+def _text_block(text):
+    return SimpleNamespace(type="text", text=text)
+
+
+def _tool_use(tool_id, name, inp):
+    return SimpleNamespace(type="tool_use", id=tool_id, name=name, input=inp)
+
+
+class FakeMessages:
+    def __init__(self, scripted):
+        self._scripted = list(scripted)
+        self.calls = []
+
+    def create(self, **kwargs):
+        self.calls.append(kwargs)
+        content = self._scripted.pop(0)
+        stop = "tool_use" if any(b.type == "tool_use" for b in content) else "end_turn"
+        return SimpleNamespace(content=content, stop_reason=stop, role="assistant")
+
+
+class FakeClient:
+    def __init__(self, scripted):
+        self.messages = FakeMessages(scripted)
+
+
+def test_agent_executes_tool_then_returns_text():
+    scripted = [
+        [_tool_use("t1", "flows_search", {"query": "users"})],
+        [_text_block("Found the users endpoint.")],
+    ]
+    client = FakeClient(scripted)
+    registry = {
+        "flows_search": (
+            {"name": "flows_search", "input_schema": {"type": "object"}},
+            lambda inp: {"endpoints": [{"path": "/api/users"}]},
+        )
+    }
+    agent = Agent(client, registry, model="m", system="s")
+    reply = agent.run_turn("map users")
+    assert "users endpoint" in reply
+    # the tool result was fed back: second create call has >= 3 messages
+    assert len(client.messages.calls[1]["messages"]) >= 3
+
+
+def test_agent_plain_text_no_tools():
+    client = FakeClient([[_text_block("Hello!")]])
+    agent = Agent(client, {}, model="m", system="s")
+    assert agent.run_turn("hi") == "Hello!"