diff --git a/reme_ai/agent/react/agentic_retrieve_op.py b/reme_ai/agent/react/agentic_retrieve_op.py
index ee29bd1a..5d8d0686 100644
--- a/reme_ai/agent/react/agentic_retrieve_op.py
+++ b/reme_ai/agent/react/agentic_retrieve_op.py
@@ -3,9 +3,11 @@
 from typing import Dict, List
 
 from flowllm.core.context import C
+from flowllm.core.enumeration import Role
 from flowllm.core.op import BaseAsyncToolOp
 from flowllm.core.schema import ToolCall, Message
 from flowllm.gallery.agent import ReactAgentOp
+from loguru import logger
 
 
 @C.register_op()
@@ -18,10 +20,11 @@ class AgenticRetrieveOp(ReactAgentOp):
         self,
         llm: str = "qwen3_30b_instruct",
         max_steps: int = 5,
-        add_think_tool: bool = False,
         **kwargs,
     ):
-        super().__init__(llm=llm, max_steps=max_steps, add_think_tool=add_think_tool, **kwargs)
+        """Initialize the agent runtime configuration."""
+        super().__init__(llm=llm, **kwargs)
+        self.max_steps: int = max_steps
 
     def build_tool_call(self) -> ToolCall:
         """Expose metadata describing how to invoke the agent."""
@@ -112,3 +115,49 @@ class AgenticRetrieveOp(ReactAgentOp):
         messages = op.context.response.answer
         messages = [Message(**x) for x in messages]
         return messages
+
+    async def execute_tool(self, op: BaseAsyncToolOp, tool_call: ToolCall):
+        """Execute a tool operation asynchronously using the provided tool call arguments."""
+        self.submit_async_task(op.async_call, **tool_call.argument_dict)
+
+    async def async_execute(self):
+        """Main execution loop that alternates LLM calls and tool invocations."""
+        tool_op_dict = await self.build_tool_op_dict()
+        messages = await self.build_messages()
+
+        for i in range(self.max_steps):
+            messages = await self.before_chat(messages)
+
+            assistant_message: Message = await self.llm.achat(
+                messages=messages,
+                tools=[op.tool_call for op in tool_op_dict.values()],
+            )
+            messages.append(assistant_message)
+            logger.info(f"round{i + 1}.assistant={assistant_message.model_dump_json()}")
+
+            if not assistant_message.tool_calls:
+                break
+
+            op_list: List[BaseAsyncToolOp] = []
+            for j, tool_call in enumerate(assistant_message.tool_calls):
+                if tool_call.name not in tool_op_dict:
+                    logger.exception(f"unknown tool_call.name={tool_call.name}")
+                    continue
+
+                logger.info(f"round{i + 1}.{j} submit tool_calls={tool_call.name} argument={tool_call.argument_dict}")
+
+                op_copy: BaseAsyncToolOp = tool_op_dict[tool_call.name].copy()
+                op_copy.tool_call.id = tool_call.id
+                op_list.append(op_copy)
+                await self.execute_tool(op_copy, tool_call)
+
+            await self.join_async_task()
+
+            for j, op in enumerate(op_list):
+                tool_result = str(op.output)
+                tool_message = Message(role=Role.TOOL, content=tool_result, tool_call_id=op.tool_call.id)
+                messages.append(tool_message)
+                logger.info(f"round{i + 1}.{j} join tool_result={tool_result[:200]}...\n\n")
+
+        self.set_output(messages[-1].content)
+        self.context.response.messages = messages