diff --git a/sanclone/agent/__init__.py b/sanclone/agent/__init__.py
new file mode 100644
index 0000000..bf3eda0
--- /dev/null
+++ b/sanclone/agent/__init__.py
@@ -0,0 +1,3 @@
+from agent import SanCloneAgent
+
+__all__ = ["SanCloneAgent"]
diff --git a/sanclone/agent/agent.py b/sanclone/agent/agent.py
new file mode 100644
index 0000000..a86cad6
--- /dev/null
+++ b/sanclone/agent/agent.py
@@ -0,0 +1,41 @@
+from langchain.agents import AgentExecutor, ZeroShotAgent
+from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent
+from langchain.chat_models import ChatOpenAI
+
+from ..tools import make_tools
+from .prompt import prompt_template
+
+
+class AgentType:
+    valid_models = {
+        "ReactAgent": ZeroShotAgent,
+        "OpenAIFunctionsAgent": OpenAIFunctionsAgent,
+    }
+
+    @classmethod
+    def get_agent(cls, model_name: str = "ReactAgent"):
+        return cls.valid_models[model_name]
+
+
+class SanCloneAgent:
+    def __init__(
+        self,
+        tools=None,
+        llm=None,
+        openai_api_key=None,
+        temp=0.1,
+        agent_type: str = "OpenAIFunctionsAgent",
+        verbose=True,
+    ):
+        llm = ChatOpenAI(temperature=0.0, model="gpt-4", client=None)
+
+        tools = make_tools(llm)
+        self.agent_instance = AgentExecutor.from_agent_and_tools(
+            tools=tools,
+            agent=AgentType.get_agent(agent_type).from_llm_and_tools(llm, tools),
+            return_intermediate_steps=True,
+            handle_parsing_errors=True,
+        )
+
+    def run(self, prompt: str):
+        return self.agent_instance.run(prompt_template.format(input=prompt))
diff --git a/sanclone/agent/prompt.py b/sanclone/agent/prompt.py
new file mode 100644
index 0000000..9be2b86
--- /dev/null
+++ b/sanclone/agent/prompt.py
@@ -0,0 +1,8 @@
+# flake8: noqa
+prompt_template = """
+You are an expert in molecular cloning.
+You have a set of tools at your disposal.
+Your task is to respond to the question or
+solve the problem to the best of your ability using the provided tools.
+Here is the question: {input}
+"""
diff --git a/sanclone/tools/__init__.py b/sanclone/tools/__init__.py
index 1095f07..816f89e 100644
--- a/sanclone/tools/__init__.py
+++ b/sanclone/tools/__init__.py
@@ -1,3 +1,4 @@
 from .echo import EchoTool
+from .maketools import make_tools
 
-__all__ = ["EchoTool"]
+__all__ = ["EchoTool", "make_tools"]
diff --git a/sanclone/tools/maketools.py b/sanclone/tools/maketools.py
new file mode 100644
index 0000000..55ea737
--- /dev/null
+++ b/sanclone/tools/maketools.py
@@ -0,0 +1,11 @@
+from langchain import agents
+from langchain.llms.base import BaseLanguageModel
+
+
+def make_tools(llm: BaseLanguageModel):
+    # add human input tool
+    tools = agents.load_tools(["human"], llm)
+
+    # append tools here
+    tools += []
+    return tools