diff --git a/README.md b/README.md
index 96be5b67..f2b8eb20 100644
--- a/README.md
+++ b/README.md
@@ -399,6 +399,28 @@ print(f"Generated data: {generated_data}")
 
 
 ```
+## OpenAI Assistant Integration
+
+Swarms provides native support for OpenAI's Assistants API through the
+ `OpenAIAssistant` class:
+
+```python
+
+from swarms import OpenAIAssistant
+
+#Create an assistant
+assistant = OpenAIAssistant(
+    name="Research Assistant",
+    instructions="You help with research tasks.",
+    tools=[{"type": "code_interpreter"}]
+)
+
+#Run tasks
+response = assistant.run("Analyze this dataset")
+
+```
+
+See the [OpenAI Assistant documentation](docs/swarms/agents/openai_assistant.md) for more details.
 
 ### Multi Modal Autonomous Agent
 Run the agent with multiple modalities useful for various real-world tasks in manufacturing, logistics, and health.
@@ -1830,7 +1852,7 @@ Documentation is located here at: [docs.swarms.world](https://docs.swarms.world)
 -----
 
 ## Folder Structure
-The swarms package has been meticlously crafted for extreme use-ability and understanding, the swarms package is split up into various modules such as `swarms.agents` that holds pre-built agents, `swarms.structs` that holds a vast array of structures like `Agent` and multi agent structures. The 3 most important are `structs`, `models`, and `agents`.
+The swarms package has been meticlously crafted for extreme use-ability and understanding, the swarms package is split up into various modules such as `swarms.agents` that holds pre-built agents, `swarms.structs` that holds a vast array of structures like `Agent` and multi agent structures. The 3 most important are `structs`, `models`, and `agents`.
 
 ```sh
 ├── __init__.py
diff --git a/swarms/structs/__init__.py b/swarms/structs/__init__.py
index a9b77dae..40f13346 100644
--- a/swarms/structs/__init__.py
+++ b/swarms/structs/__init__.py
@@ -3,6 +3,7 @@ from swarms.structs.auto_swarm import AutoSwarm, AutoSwarmRouter
 from swarms.structs.base_structure import BaseStructure
 from swarms.structs.base_swarm import BaseSwarm
 from swarms.structs.base_workflow import BaseWorkflow
+from swarms.structs.async_workflow import AsyncWorkflow
 from swarms.structs.concurrent_workflow import ConcurrentWorkflow
 from swarms.structs.conversation import Conversation
 from swarms.structs.graph_workflow import (
@@ -78,6 +79,7 @@ from swarms.structs.multi_agent_exec import (
 
 __all__ = [
     "Agent",
+    "AsyncWorkflow",
     "AutoSwarm",
     "AutoSwarmRouter",
     "BaseStructure",
diff --git a/swarms/structs/async_workflow.py b/swarms/structs/async_workflow.py
new file mode 100644
index 00000000..cd3aef57
--- /dev/null
+++ b/swarms/structs/async_workflow.py
@@ -0,0 +1,62 @@
+import asyncio
+from typing import Any, Callable, List, Optional
+from swarms.structs.base_workflow import BaseWorkflow
+from swarms.structs.agent import Agent
+from swarms.utils.loguru_logger import logger
+
+class AsyncWorkflow(BaseWorkflow):
+    def __init__(
+        self,
+        name: str = "AsyncWorkflow",
+        agents: List[Agent] = None,
+        max_workers: int = 5,
+        dashboard: bool = False,
+        autosave: bool = False,
+        verbose: bool = False,
+        **kwargs
+    ):
+        super().__init__(agents=agents, **kwargs)
+        self.name = name
+        self.agents = agents or []
+        self.max_workers = max_workers
+        self.dashboard = dashboard
+        self.autosave = autosave
+        self.verbose = verbose
+        self.task_pool = []
+        self.results = []
+        self.loop = None
+
+    async def _execute_agent_task(self, agent: Agent, task: str) -> Any:
+        """Execute a single agent task asynchronously"""
+        try:
+            if self.verbose:
+                logger.info(f"Agent {agent.agent_name} processing task: {task}")
+            result = await agent.arun(task)
+            if self.verbose:
+                logger.info(f"Agent {agent.agent_name} completed task")
+            return result
+        except Exception as e:
+            logger.error(f"Error in agent {agent.agent_name}: {str(e)}")
+            return str(e)
+
+    async def run(self, task: str) -> List[Any]:
+        """Run the workflow with all agents processing the task concurrently"""
+        if not self.agents:
+            raise ValueError("No agents provided to the workflow")
+
+        try:
+            # Create tasks for all agents
+            tasks = [self._execute_agent_task(agent, task) for agent in self.agents]
+            
+            # Execute all tasks concurrently
+            self.results = await asyncio.gather(*tasks, return_exceptions=True)
+            
+            if self.autosave:
+                # Implement autosave logic here
+                pass
+                
+            return self.results
+
+        except Exception as e:
+            logger.error(f"Error in workflow execution: {str(e)}")
+            raise
\ No newline at end of file