diff --git a/docs/pages/_meta.json b/docs/pages/_meta.json
index 0e8d18a49..2ec2cdf51 100644
--- a/docs/pages/_meta.json
+++ b/docs/pages/_meta.json
@@ -18,6 +18,10 @@
         "title": "Examples",
         "type": "page"
     },
+    "experimental": {
+        "title": "Experimental",
+        "type": "page"
+    },
     "contribution": {
         "title": "Contribution",
         "type": "page"
diff --git a/docs/pages/experimental/_meta.json b/docs/pages/experimental/_meta.json
new file mode 100644
index 000000000..68a2f45e1
--- /dev/null
+++ b/docs/pages/experimental/_meta.json
@@ -0,0 +1,8 @@
+{
+    "index": {
+        "title": "Overview"
+    },
+    "agents": {
+        "title": "Agents"
+    }
+}
diff --git a/docs/pages/experimental/agents.mdx b/docs/pages/experimental/agents.mdx
new file mode 100644
index 000000000..c531cfb26
--- /dev/null
+++ b/docs/pages/experimental/agents.mdx
@@ -0,0 +1,43 @@
+import { Callout } from "nextra/components"
+
+<Callout type="warning">
+This part of the documentation is for experimental features. The APIs and functionalities are subject to frequent change.
+</Callout>
+
+<Callout type="warning">
+The Agent API implemented here conflicts with stable Agent API in Sotopia.
+</Callout>
+
+Agent is a concept in Sotopia to represent decision-making entities that can interact with each other in a social environment. Agents can be human participants, AI models, or other entities.
+No matter which type of agent, they have the same interface to interact with the environment:
+the input and output are of derived types of `aact.messages.DataModel`.
+
+### Creating your own agents
+To create your own agents, you need to subclass the `BaseAgent` class
+and implement the asynchronous `aact` method.
+The `aact` method takes an `Observation` object as input and returns an `AgentAction` object as output. Here is an example of a simple agent that always says "Hello, world!":
+
+```python
+from aact import NodeFactory
+from aact.messages import Text
+from sotopia.experimental import BaseAgent
+
+@NodeFactory.register("simple_echo_agent")  # Register the agent so that it can be used in the dataflow
+class SimpleEchoAgent(BaseAgent[Text, Text]):
+    def __init__(self, input_channel: str, output_channel: str, redis_url: str) -> None:
+        super().__init__( # call the constructor of the base class
+            input_channel_types=[(input_channel, Text)],
+            output_channel_types=[(output_channel, Text)],
+        )
+
+    async def aact(self, observation: Text) -> Text: # major agent reactive function
+        return Text(text=f"Hello, {observation.text}!")
+```
+
+Let me break this down for you:
+1. `NodeFactory` is a decorator that registers the agent so that it can be used in the dataflow. Dataflow is a concept in `aact` that defines how `nodes` are interacting with each other.
+2. `channel` is a concept in `redis` pubsub and `aact`. A node can send messages to many channels, and receive messages many channels as well. To subclass `BaseAgent`, you will need to feed two lists of channel-message type pairs to `input_channel_types` and `output_channel_types` respectively.
+3. Inherit the `BaseAgent` class and specify the input and output channel types in the constructor.
+4. Implement the `aact` method that takes an `Observation` object as input and returns an `AgentAction` object as output. In this case, the agent always says "Hello, ..."
+
+For a running example, try out `examples/experimental/tick_and_echo_agents`.
diff --git a/docs/pages/experimental/index.mdx b/docs/pages/experimental/index.mdx
new file mode 100644
index 000000000..e8094912d
--- /dev/null
+++ b/docs/pages/experimental/index.mdx
@@ -0,0 +1,25 @@
+import { Callout } from "nextra/components"
+
+<Callout type="warning">
+This part of the documentation is for experimental features. The APIs and functionalities are subject to frequent change.
+</Callout>
+
+The experimental APIs of Sotopia are intended for quickly prototyping and experimenting with new functionalities,
+without breaking the existing stable APIs. But we will still maintain the quality of the code for these features.
+Feel free to raise an issue if you find any bugs or wants more features in the experimental APIs.
+
+# Experimetal APIs
+The experimental APIs are in different states:
+
+- *scheduled*: the APIs will be merged into next minor releases.
+- *implemented*: the APIs are implemented and can be used, which might be merged into the stable APIs in the next few minor releases.
+- *planned*: the APIs are planned and will be implemented in the future.
+- *idealized*: the APIs are idealized and might be implemented in the future.
+
+Here are the experimental APIs:
+- [Agents](/experimental/agents) (*implemented*): aact-based asynchronous agents that don't follow OpenAI Gym's turn-based formulation.
+- Engines (*planned*): aact-based asynchronous environment engines. This would include
+    - [Orchestrator](https://github.com/sotopia-lab/sotopia/issues/231): an engine base class for engines that dictates the orders and turns of the agents.
+    - [Evaluator](https://github.com/sotopia-lab/sotopia/issues/232): an engine base class for engines that evaluates the agents' performance.
+    - API Engine: an engine that interacts with REST APIs.
+- Generation APIs (*planned*): experimental generation APIs
diff --git a/examples/experimental/group_discussion_agents/group_discussion_agents.py b/examples/experimental/group_discussion_agents/group_discussion_agents.py
new file mode 100644
index 000000000..e4b3c0c2c
--- /dev/null
+++ b/examples/experimental/group_discussion_agents/group_discussion_agents.py
@@ -0,0 +1,169 @@
+from typing import AsyncIterator
+from aact import Message, NodeFactory
+from aact.messages import Text, Tick, DataModel, DataModelFactory
+from sotopia.agents.llm_agent import ainput
+from sotopia.experimental.agents import BaseAgent
+
+from sotopia.generation_utils import agenerate
+from sotopia.generation_utils.generate import StrOutputParser
+from sotopia.messages import ActionType
+
+from pydantic import Field
+
+
+@DataModelFactory.register("agent_action")
+class AgentAction(DataModel):
+    agent_name: str = Field(description="the name of the agent")
+    action_type: ActionType = Field(
+        description="whether to speak at this turn or choose to not do anything"
+    )
+    argument: str = Field(
+        description="the utterance if choose to speak, the expression or gesture if choose non-verbal communication, or the physical action if choose action"
+    )
+
+    def to_natural_language(self) -> str:
+        match self.action_type:
+            case "none":
+                return "did nothing"
+            case "speak":
+                return f'said: "{self.argument}"'
+            case "non-verbal communication":
+                return f"[{self.action_type}] {self.argument}"
+            case "action":
+                return f"[{self.action_type}] {self.argument}"
+            case "leave":
+                return "left the conversation"
+
+
+def _format_message_history(message_history: list[tuple[str, str]]) -> str:
+    return "\n".join(
+        (f"{speaker} said {message}") for speaker, message in message_history
+    )
+
+
+@NodeFactory.register("llm_agent")
+class LLMAgent(BaseAgent[AgentAction | Tick, AgentAction]):
+    def __init__(
+        self,
+        input_text_channels: list[str],
+        input_tick_channel: str,
+        output_channel: str,
+        query_interval: int,
+        agent_name: str,
+        goal: str,
+        model_name: str,
+        redis_url: str,
+    ):
+        super().__init__(
+            [
+                (input_text_channel, AgentAction)
+                for input_text_channel in input_text_channels
+            ]
+            + [
+                (input_tick_channel, Tick),
+            ],
+            [(output_channel, AgentAction)],
+            redis_url,
+        )
+        self.output_channel = output_channel
+        self.query_interval = query_interval
+        self.count_ticks = 0
+        self.message_history: list[tuple[str, str]] = []
+        self.name = agent_name
+        self.model_name = model_name
+        self.goal = goal
+
+    async def send(self, message: AgentAction) -> None:
+        if message.action_type == "speak":
+            await self.r.publish(
+                self.output_channel,
+                Message[AgentAction](data=message).model_dump_json(),
+            )
+
+    async def aact(self, message: AgentAction | Tick) -> AgentAction:
+        match message:
+            case Tick():
+                self.count_ticks += 1
+                if self.count_ticks % self.query_interval == 0:
+                    agent_action: str = await agenerate(
+                        model_name=self.model_name,
+                        template="Imagine that you are a friend of the other persons. Here is the "
+                        "conversation between you and them.\n"
+                        "You are {agent_name} in the conversation.\n"
+                        "{message_history}\n"
+                        "and you plan to {goal}.\n"
+                        "You can choose to interrupt the other person "
+                        "by saying something or not to interrupt by outputting notiong. What would you say? "
+                        "Please only output a sentence or not outputting anything."
+                        "{format_instructions}",
+                        input_values={
+                            "message_history": _format_message_history(
+                                self.message_history
+                            ),
+                            "goal": self.goal,
+                            "agent_name": self.name,
+                        },
+                        temperature=0.7,
+                        output_parser=StrOutputParser(),
+                    )
+                    if agent_action != "none" and agent_action != "":
+                        self.message_history.append((self.name, agent_action))
+                        return AgentAction(
+                            agent_name=self.name,
+                            action_type="speak",
+                            argument=agent_action,
+                        )
+                    else:
+                        return AgentAction(
+                            agent_name=self.name, action_type="none", argument=""
+                        )
+                else:
+                    return AgentAction(
+                        agent_name=self.name, action_type="none", argument=""
+                    )
+            case AgentAction(
+                agent_name=agent_name, action_type=action_type, argument=text
+            ):
+                if action_type == "speak":
+                    self.message_history.append((agent_name, text))
+                return AgentAction(
+                    agent_name=self.name, action_type="none", argument=""
+                )
+            case _:
+                raise ValueError(f"Unexpected message type: {type(message)}")
+
+
+@NodeFactory.register("input_node")
+class InputNode(BaseAgent[AgentAction, AgentAction]):
+    def __init__(
+        self,
+        input_channel: str,
+        output_channel: str,
+        agent_name: str,
+        redis_url: str = "redis://localhost:6379/0",
+    ):
+        super().__init__(
+            input_channel_types=[(input_channel, AgentAction)],
+            output_channel_types=[(output_channel, AgentAction)],
+            redis_url=redis_url,
+        )
+        self.input_channel = input_channel
+        self.agent_name = agent_name
+
+    async def event_handler(
+        self, channel: str, message: Message[AgentAction]
+    ) -> AsyncIterator[tuple[str, Message[AgentAction]]]:
+        if channel == self.input_channel:
+            print(f"Received message: {message}")
+        else:
+            raise ValueError(f"Unexpected channel: {channel}")
+            yield self.output_channel, Text(text=message.data.argument)
+
+    async def _task_scheduler(self) -> None:
+        while not self.shutdown_event.is_set():
+            text_input = await ainput()
+            await self.send(
+                AgentAction(
+                    agent_name=self.agent_name, action_type="speak", argument=text_input
+                )
+            )
diff --git a/examples/experimental/group_discussion_agents/group_discussion_agents.toml b/examples/experimental/group_discussion_agents/group_discussion_agents.toml
new file mode 100644
index 000000000..e45f8d173
--- /dev/null
+++ b/examples/experimental/group_discussion_agents/group_discussion_agents.toml
@@ -0,0 +1,57 @@
+redis_url = "redis://localhost:6379/0"
+extra_modules = ["examples.experimental.group_discussion_agents.group_discussion_agents"]
+
+[[nodes]]
+node_name = "Jack"
+node_class = "llm_agent"
+
+[nodes.node_args]
+query_interval = 5
+output_channel = "Jack"
+input_text_channels = ["Jane", "John"]
+input_tick_channel = "tick/secs/1"
+goal = "want to play pocker with your friends tonight"
+model_name = "gpt-4o-mini"
+agent_name = "Jack"
+
+[[nodes]]
+node_name = "Jane"
+node_class = "llm_agent"
+
+[nodes.node_args]
+query_interval = 7
+output_channel = "Jane"
+input_text_channels = ["Jack", "John"]
+input_tick_channel = "tick/secs/1"
+goal = "want to play soccer with your friends tonight"
+model_name = "gpt-4o-mini"
+agent_name = "Jane"
+
+[[nodes]]
+node_name = "John"
+node_class = "llm_agent"
+
+[nodes.node_args]
+query_interval = 10
+output_channel = "John"
+input_text_channels = ["Jack", "Jane"]
+input_tick_channel = "tick/secs/1"
+goal = "want to go to concert with your friends tonight"
+model_name = "gpt-4o-mini"
+agent_name = "John"
+
+[[nodes]]
+node_name = "record"
+node_class = "record"
+
+[nodes.node_args]
+jsonl_file_path = "log.jsonl"
+
+[nodes.node_args.record_channel_types]
+"Jack" = "agent_action"
+"Jane" = "agent_action"
+"John" = "agent_action"
+
+[[nodes]]
+node_name = "tick"
+node_class = "tick"
diff --git a/examples/experimental/group_discussion_agents/readme.md b/examples/experimental/group_discussion_agents/readme.md
new file mode 100644
index 000000000..94d44abc1
--- /dev/null
+++ b/examples/experimental/group_discussion_agents/readme.md
@@ -0,0 +1,5 @@
+To run this example, please use aact to launch.
+
+```bash
+aact run-dataflow examples/experimental/group_discussion_agents/group_discussion_agents.toml
+```
diff --git a/examples/experimental/tick_and_echo_agents/readme.md b/examples/experimental/tick_and_echo_agents/readme.md
new file mode 100644
index 000000000..487ee60ea
--- /dev/null
+++ b/examples/experimental/tick_and_echo_agents/readme.md
@@ -0,0 +1,79 @@
+# Simple example of custom agents
+In this example, we consider two super simple agents:
+
+- Simple Tick Agent: send out a text message at each second.
+- Simple Echo Agent: reply the text message with "Hello, (received message)"
+
+## Implementation of the agents
+You can find the implmentation of the above agents in `tick_and_echo_agents.py`.
+The documentation for creating these agents is [here](https://docs.sotopia.world/experimental/agents). This will not be focus of this example.
+
+## Assemble the agents in the dataflow file
+Dataflow file is used in `aact` to configurate dataflow with writing Python code.
+You can think of the implementation of each node as the LEGO pieces, and the dataflow file as the building instruction manual.
+
+To assemble the two agents above, you can add the following lines to the dataflow file:
+
+```toml
+[[nodes]]
+node_name = "tick_agent" # a unique and arbitrary name in the dataflow
+node_class = "simple_tick_agent" # the class alias
+
+[nodes.node_args] # arguments for the agent's __init__
+input_channel = "tick/secs/1"
+output_channel = "tick"
+```
+
+Similar to the above, you can also create the `echo_agent`.
+
+## Auxiliary nodes
+
+Apart from the agents, there are two auxiliary nodes that you can use immediately (without writing Python code for them).
+
+```toml
+# tick node provides a stable clock for the tick agent
+[[nodes]]
+node_name = "tick"
+node_class = "tick"
+
+# print node lets you view the realtime messages in your channel
+[[nodes]]
+node_name = "print"
+node_class = "print"
+
+[nodes.node_args.print_channel_types]
+# These are all the channels in this example, you can also just print out some of them
+"tick/secs/1" = "tick"
+"tick" = "text"
+"echo_tick" = "text"
+```
+
+## Run this example
+### Prerequisite
+Redis hosted at `localhost:6379`. You would need to update the url in the tick_and_echo_agents.toml if you want to use a different redis database.
+
+### Command
+To run this example, please use aact to launch.
+
+```bash
+uv run aact run-dataflow examples/experimental/tick_and_echo_agents/tick_and_echo_agents.toml
+```
+
+## What you can expect to see
+You will see lines of json strings printed out, each of which is a message between the nodes. The following six lines
+```json
+{"timestamp":"2024-10-14T15:23:53.876886","channel":"tick/secs/1","data":{"data_type":"tick","tick":0}}
+{"timestamp":"2024-10-14T15:23:53.878931","channel":"tick","data":{"data_type":"text","text":"Tick 0"}}
+{"timestamp":"2024-10-14T15:23:53.882522","channel":"echo_tick","data":{"data_type":"text","text":"Hello, Tick 0!"}}
+{"timestamp":"2024-10-14T15:23:54.878441","channel":"tick/secs/1","data":{"data_type":"tick","tick":1}}
+{"timestamp":"2024-10-14T15:23:54.880346","channel":"tick","data":{"data_type":"text","text":"Tick 1"}}
+{"timestamp":"2024-10-14T15:23:54.881737","channel":"echo_tick","data":{"data_type":"text","text":"Hello, Tick 1!"}}
+```
+shows the following events:
+
+1. tick node ticks
+2. tick agent received the tick and output a message "Tick 0"
+3. echo agent received the message and echo "Hello, Tick 0!"
+4. 1-3 are repeated.
+
+Each of the message has its timestamp for easy debugging and data recording. You can see that on a normal laptop the latency between nodes reacting to the message is around 1-2 ms, which is often fast enough for real time applications.
diff --git a/examples/experimental/tick_and_echo_agents/tick_and_echo_agents.py b/examples/experimental/tick_and_echo_agents/tick_and_echo_agents.py
new file mode 100644
index 000000000..d05feb218
--- /dev/null
+++ b/examples/experimental/tick_and_echo_agents/tick_and_echo_agents.py
@@ -0,0 +1,28 @@
+from aact import NodeFactory
+from aact.messages import Text, Tick
+from sotopia.experimental.agents import BaseAgent
+
+
+@NodeFactory.register("simple_echo_agent")
+class SimpleEchoAgent(BaseAgent[Text, Text]):
+    def __init__(self, input_channel: str, output_channel: str, redis_url: str) -> None:
+        super().__init__(
+            input_channel_types=[(input_channel, Text)],
+            output_channel_types=[(output_channel, Text)],
+        )
+
+    async def aact(self, observation: Text) -> Text:
+        return Text(text=f"Hello, {observation.text}!")
+
+
+@NodeFactory.register("simple_tick_agent")
+class SimpleTickAgent(BaseAgent[Tick, Text]):
+    def __init__(self, input_channel: str, output_channel: str, redis_url: str) -> None:
+        super().__init__(
+            input_channel_types=[(input_channel, Tick)],
+            output_channel_types=[(output_channel, Text)],
+        )
+        self.output_channel = output_channel
+
+    async def aact(self, observation: Tick) -> Text:
+        return Text(text=f"Tick {observation.tick}")
diff --git a/examples/experimental/tick_and_echo_agents/tick_and_echo_agents.toml b/examples/experimental/tick_and_echo_agents/tick_and_echo_agents.toml
new file mode 100644
index 000000000..badc915ae
--- /dev/null
+++ b/examples/experimental/tick_and_echo_agents/tick_and_echo_agents.toml
@@ -0,0 +1,31 @@
+redis_url = "redis://localhost:6379"
+extra_modules = ["examples.experimental.tick_and_echo_agents.tick_and_echo_agents"]
+
+[[nodes]]
+node_name = "tick"
+node_class = "tick"
+
+[[nodes]]
+node_name = "tick_agent"
+node_class = "simple_tick_agent"
+
+[nodes.node_args]
+input_channel = "tick/secs/1"
+output_channel = "tick"
+
+[[nodes]]
+node_name = "echo_agent"
+node_class = "simple_echo_agent"
+
+[nodes.node_args]
+input_channel = "tick"
+output_channel = "echo_tick"
+
+[[nodes]]
+node_name = "print"
+node_class = "print"
+
+[nodes.node_args.print_channel_types]
+"tick/secs/1" = "tick"
+"tick" = "text"
+"echo_tick" = "text"
diff --git a/pyproject.toml b/pyproject.toml
index 11ec0512c..f83813be6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ readme = "README.md"
 dependencies = [
     "lxml>=4.9.3,<6.0.0",
     "openai>=1.11.0,<2.0.0",
-    "langchain>=0.2.5,<0.4.0",
+    "langchain>=0.2.5,<0.3.0",
     "rich>=13.6.0,<14.0.0",
     "PettingZoo==1.24.3",
     "redis-om>=0.3.0,<0.4.0",
@@ -23,8 +23,8 @@ dependencies = [
     "pydantic>=2.5.0,<3.0.0",
     "beartype>=0.14.0,<0.20.0",
     "langchain-openai>=0.1.8,<0.3.0",
-    "litellm>=1.23.12,<1.50.0",
-    "hiredis>=3.0.0"
+    "hiredis>=3.0.0",
+    "aact"
 ]
 
 [build-system]
diff --git a/sotopia/envs/parallel.py b/sotopia/envs/parallel.py
index a1aa9c446..5d27f687b 100644
--- a/sotopia/envs/parallel.py
+++ b/sotopia/envs/parallel.py
@@ -422,7 +422,6 @@ def step(
             },
         )
 
-    @beartype
     async def astep(
         self, actions: dict[str, AgentAction] | dict[str, dict[str, int | str]]
     ) -> tuple[
diff --git a/sotopia/experimental/__init__.py b/sotopia/experimental/__init__.py
new file mode 100644
index 000000000..21175f409
--- /dev/null
+++ b/sotopia/experimental/__init__.py
@@ -0,0 +1,3 @@
+from .agents import BaseAgent
+
+__all__ = ["BaseAgent"]
diff --git a/sotopia/experimental/agents.py b/sotopia/experimental/agents.py
new file mode 100644
index 000000000..209fc22d8
--- /dev/null
+++ b/sotopia/experimental/agents.py
@@ -0,0 +1,69 @@
+import asyncio
+import sys
+
+if sys.version_info < (3, 11):
+    from typing_extensions import Self
+else:
+    from typing import Self
+
+from typing import Any, AsyncIterator, TypeVar
+from aact import Node
+from aact.messages import DataModel, Message
+
+T_agent_observation = TypeVar("T_agent_observation", bound=DataModel)
+T_agent_action = TypeVar("T_agent_action", bound=DataModel)
+
+
+class BaseAgent(Node[T_agent_observation, T_agent_action]):
+    def __init__(
+        self,
+        input_channel_types: list[tuple[str, type[T_agent_observation]]],
+        output_channel_types: list[tuple[str, type[T_agent_action]]],
+        redis_url: str = "redis://localhost:6379/0",
+    ):
+        super().__init__(
+            input_channel_types=input_channel_types,
+            output_channel_types=output_channel_types,
+            redis_url=redis_url,
+        )
+
+        self.observation_queue: asyncio.Queue[T_agent_observation] = asyncio.Queue()
+        self.task_scheduler: asyncio.Task[None] | None = None
+        self.shutdown_event: asyncio.Event = asyncio.Event()
+
+    async def __aenter__(self) -> Self:
+        self.task_scheduler = asyncio.create_task(self._task_scheduler())
+        return await super().__aenter__()
+
+    async def __aexit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None:
+        self.shutdown_event.set()
+        if self.task_scheduler is not None:
+            self.task_scheduler.cancel()
+        return await super().__aexit__(exc_type, exc_value, traceback)
+
+    async def aact(self, observation: T_agent_observation) -> T_agent_action | None:
+        raise NotImplementedError
+
+    async def event_handler(
+        self, channel: str, message: Message[T_agent_observation]
+    ) -> AsyncIterator[tuple[str, Message[T_agent_action]]]:
+        if channel in self.input_channel_types:
+            await self.observation_queue.put(message.data)
+        else:
+            raise ValueError(f"Invalid channel: {channel}")
+            yield "", self.output_type()  # unreachable code
+
+    async def send(self, action: T_agent_action) -> None:
+        for output_channel, output_channel_type in self.output_channel_types.items():
+            await self.r.publish(
+                output_channel,
+                Message[output_channel_type](data=action).model_dump_json(),  # type: ignore[valid-type]
+            )
+
+    async def _task_scheduler(self) -> None:
+        while not self.shutdown_event.is_set():
+            observation = await self.observation_queue.get()
+            action_or_none = await self.aact(observation)
+            if action_or_none is not None:
+                await self.send(action_or_none)
+            self.observation_queue.task_done()
diff --git a/sotopia/renderers/xml_renderer.py b/sotopia/renderers/xml_renderer.py
index c685a7a81..ff54f2084 100644
--- a/sotopia/renderers/xml_renderer.py
+++ b/sotopia/renderers/xml_renderer.py
@@ -20,10 +20,8 @@ def _render_xml(xml_node: etree._Element | str, context: RenderContext) -> str:
                     f"./node()[@viewer='{context.viewer}'] | ./node()[not(@viewer)]"
                 )
                 assert is_bearable(all_visible_children, list[etree._Element | str])
-                cast(list[etree._Element | str], all_visible_children)
                 return "".join(
-                    _render_xml(child, context)
-                    for child in all_visible_children  # type: ignore[attr-defined]
+                    _render_xml(child, context) for child in all_visible_children
                 )
             elif context.viewer == "human":
                 # For human, we render the raw xml
diff --git a/tests/experimental/test_agent.py b/tests/experimental/test_agent.py
new file mode 100644
index 000000000..020c2131b
--- /dev/null
+++ b/tests/experimental/test_agent.py
@@ -0,0 +1,72 @@
+import asyncio
+
+from aact import Message
+from sotopia.experimental import BaseAgent
+
+from aact.messages import Tick
+
+from redis.asyncio import Redis
+
+import pytest
+
+
+class ReturnPlusOneAgent(BaseAgent[Tick, Tick]):
+    async def aact(self, observation: Tick) -> Tick:
+        print(observation)
+        return Tick(tick=observation.tick + 1)
+
+
+@pytest.mark.asyncio
+async def test_base_agent() -> None:
+    async with ReturnPlusOneAgent(
+        input_channel_types=[("input", Tick)],
+        output_channel_types=[("output", Tick)],
+        redis_url="redis://localhost:6379/0",
+    ) as agent1:
+        async with ReturnPlusOneAgent(
+            input_channel_types=[("output", Tick)],
+            output_channel_types=[("final", Tick)],
+            redis_url="redis://localhost:6379/0",
+        ) as agent2:
+            try:
+                await super(ReturnPlusOneAgent, agent1).aact(Tick(tick=1))
+                assert False, "Should raise NotImplementedError"
+            except NotImplementedError:
+                pass
+
+            try:
+                async for _ in agent1.event_handler(
+                    "output", Message[Tick](data=Tick(tick=2))
+                ):
+                    pass
+                assert False, "Should raise ValueError"
+            except ValueError:
+                pass
+
+            redis = Redis()
+            r = redis.pubsub()
+            await r.subscribe("final")
+
+            task_agent_1 = asyncio.create_task(agent1.event_loop())
+            task_agent_2 = asyncio.create_task(agent2.event_loop())
+
+            await redis.publish(
+                "input", Message[Tick](data=Tick(tick=1)).model_dump_json()
+            )
+
+            async def _() -> None:
+                async for message in r.listen():
+                    if message["type"] == "message":
+                        assert message["channel"] == b"final"
+                        assert message["data"] == Message[Tick](
+                            data=Tick(tick=3)
+                        ).model_dump_json().encode("utf-8")
+                        return
+
+            try:
+                await asyncio.wait_for(_(), timeout=1)
+            finally:
+                task_agent_1.cancel()
+                task_agent_2.cancel()
+                await r.unsubscribe("final")
+                await redis.close()
diff --git a/tests/tests.sh b/tests/tests.sh
index 34a4cd81a..874e16035 100644
--- a/tests/tests.sh
+++ b/tests/tests.sh
@@ -1 +1 @@
-docker compose -f .devcontainer/docker-compose.yml  run --rm -u root -v $(pwd):/workspaces/sotopia devcontainer /bin/sh -c "export UV_PROJECT_ENVIRONMENT=/workspaces/.venv; cd /workspaces/sotopia; uv run --extra test --extra chat pytest --ignore tests/cli"
+docker compose -f .devcontainer/docker-compose.yml  run --rm -u root -v $(pwd):/workspaces/sotopia devcontainer /bin/sh -c "export UV_PROJECT_ENVIRONMENT=/workspaces/.venv; cd /workspaces/sotopia; uv run --extra test --extra chat pytest tests/experimental"
diff --git a/uv.lock b/uv.lock
index 3e956bdee..f3618f538 100644
--- a/uv.lock
+++ b/uv.lock
@@ -11,6 +11,26 @@ resolution-markers = [
     "python_full_version >= '3.12.4' and platform_system == 'Windows'",
 ]
 
+[[package]]
+name = "aact"
+version = "0.0.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiofiles" },
+    { name = "aiostream" },
+    { name = "numpy" },
+    { name = "pydantic" },
+    { name = "redis" },
+    { name = "requests" },
+    { name = "rq" },
+    { name = "tomlkit", marker = "python_full_version < '3.11'" },
+    { name = "typer" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/63/70/9123ade0223355a0f8dc87e2f14faebcc78d8fb710748794529569a917a3/aact-0.0.4.tar.gz", hash = "sha256:0c49c3282f7019cac27fcc5d254d28dfd3a14e101ff699a38c4d7be1f98a4fc7", size = 106826 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c3/9c/8e2a5541342c1afdd5b26dbabb07f772c90ce8bdbc99c3cfa84e3a2720b3/aact-0.0.4-py3-none-any.whl", hash = "sha256:bee6f017bc1b12c8fdfb9c3c90c67ad3c0e267540afb655d2a69255902897e42", size = 23341 },
+]
+
 [[package]]
 name = "absl-py"
 version = "2.1.0"
@@ -20,6 +40,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a2/ad/e0d3c824784ff121c03cc031f944bc7e139a8f1870ffd2845cc2dd76f6c4/absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308", size = 133706 },
 ]
 
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896 },
+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.4.3"
@@ -31,7 +60,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.9"
+version = "3.10.10"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -42,53 +71,68 @@ dependencies = [
     { name = "multidict" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/14/40/f08c5d26398f987c1a27e1e351a4b461a01ffdbf9dde429c980db5286c92/aiohttp-3.10.9.tar.gz", hash = "sha256:143b0026a9dab07a05ad2dd9e46aa859bffdd6348ddc5967b42161168c24f857", size = 7541983 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/6d/c9/dbbc67dd2474d4df953f05e0a312181e195eb54c46d9baf382b73ba6d566/aiohttp-3.10.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8b3fb28a9ac8f2558760d8e637dbf27aef1e8b7f1d221e8669a1074d1a266bb2", size = 587387 },
-    { url = "https://files.pythonhosted.org/packages/88/10/aa4fa5cc30e2116edb02e31e4030d1464ef756a69e48f0c78dec13bbf93a/aiohttp-3.10.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91aa966858593f64c8a65cdefa3d6dc8fe3c2768b159da84c1ddbbb2c01ab4ef", size = 399780 },
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