diff --git a/rnd/autogpt_server/README.md b/rnd/autogpt_server/README.md
new file mode 100644
index 00000000000..1563240a32e
--- /dev/null
+++ b/rnd/autogpt_server/README.md
@@ -0,0 +1,20 @@
+# Next Gen AutoGPT 
+
+This is a research project into creating the next generation of autogpt, which is an autogpt agent server.
+
+The agent server will enable the creation of composite multi-agent system that utilize AutoGPT Agent as its default agent.
+
+
+## Project Outline
+
+Currently the project mainly consist of these components:
+
+*agent_api*
+A component that will expose API endpoints for the creation & execution of agents.
+This component will make connections to the database to persist and read the agents.
+It will also trigger the agent execution by pushing its execution request to the ExecutionQueue.
+
+*agent_executor*
+A component that will execute the agents.
+This component will be a pool of processes/threads that will consume the ExecutionQueue and execute the agent accordingly. 
+The result and progress of its execution will be persisted in the database.
diff --git a/rnd/autogpt_server/autogpt_server/agent_api/__init__.py b/rnd/autogpt_server/autogpt_server/agent_api/__init__.py
new file mode 100644
index 00000000000..1ea8dc278eb
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/agent_api/__init__.py
@@ -0,0 +1 @@
+from .server import start_server  # noqa
diff --git a/rnd/autogpt_server/autogpt_server/agent_api/server.py b/rnd/autogpt_server/autogpt_server/agent_api/server.py
new file mode 100644
index 00000000000..cbbdb018cdf
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/agent_api/server.py
@@ -0,0 +1,39 @@
+import uvicorn
+from fastapi import FastAPI, APIRouter
+
+from autogpt_server.data import ExecutionQueue
+
+
+class AgentServer:
+
+    def __init__(self, queue: ExecutionQueue):
+        self.app = FastAPI(
+            title="AutoGPT Agent Server",
+            description=(
+                "This server is used to execute agents that are created by the "
+                "AutoGPT system."
+            ),
+            summary="AutoGPT Agent Server",
+            version="0.1",
+        )
+        self.execution_queue = queue
+
+        # Define the API routes
+        self.router = APIRouter()
+        self.router.add_api_route(
+            path="/agents/{agent_id}/execute",
+            endpoint=self.execute_agent,
+            methods=["POST"],
+        )
+        self.app.include_router(self.router)
+
+    def execute_agent(self, agent_id: str):
+        execution_id = self.execution_queue.add(agent_id)
+        return {"execution_id": execution_id, "agent_id": agent_id}
+
+
+def start_server(queue: ExecutionQueue, use_uvicorn: bool = True):
+    app = AgentServer(queue).app
+    if use_uvicorn:
+        uvicorn.run(app)
+    return app
diff --git a/rnd/autogpt_server/autogpt_server/agent_executor/__init__.py b/rnd/autogpt_server/autogpt_server/agent_executor/__init__.py
new file mode 100644
index 00000000000..e79245e20f2
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/agent_executor/__init__.py
@@ -0,0 +1 @@
+from .executor import start_executors  # noqa
diff --git a/rnd/autogpt_server/autogpt_server/agent_executor/executor.py b/rnd/autogpt_server/autogpt_server/agent_executor/executor.py
new file mode 100644
index 00000000000..d5daed5ee77
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/agent_executor/executor.py
@@ -0,0 +1,42 @@
+import logging
+import time
+from concurrent.futures import ThreadPoolExecutor
+from multiprocessing import Process
+
+from autogpt_server.data import ExecutionQueue
+
+logger = logging.getLogger(__name__)
+
+
+class AgentExecutor:
+    # TODO: Replace this by an actual Agent Execution.
+    def __execute(id: str, data: str) -> None:
+        logger.warning(f"Executor processing started, execution_id: {id}, data: {data}")
+        for i in range(5):
+            logger.warning(
+                f"Executor processing step {i}, execution_id: {id}, data: {data}"
+            )
+            time.sleep(1)
+        logger.warning(
+            f"Executor processing completed, execution_id: {id}, data: {data}"
+        )
+
+    def start_executor(pool_size: int, queue: ExecutionQueue) -> None:
+        with ThreadPoolExecutor(max_workers=pool_size) as executor:
+            while True:
+                execution = queue.get()
+                if not execution:
+                    time.sleep(1)
+                    continue
+                executor.submit(
+                    AgentExecutor.__execute,
+                    execution.execution_id,
+                    execution.data,
+                )
+
+
+def start_executors(pool_size: int, queue: ExecutionQueue) -> None:
+    executor_process = Process(
+        target=AgentExecutor.start_executor, args=(pool_size, queue)
+    )
+    executor_process.start()
diff --git a/rnd/autogpt_server/autogpt_server/app.py b/rnd/autogpt_server/autogpt_server/app.py
new file mode 100644
index 00000000000..5b8bf81d7bd
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/app.py
@@ -0,0 +1,13 @@
+from autogpt_server.agent_api import start_server
+from autogpt_server.agent_executor import start_executors
+from autogpt_server.data import ExecutionQueue
+
+
+def main() -> None:
+    queue = ExecutionQueue()
+    start_executors(5, queue)
+    start_server(queue)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/rnd/autogpt_server/autogpt_server/data.py b/rnd/autogpt_server/autogpt_server/data.py
new file mode 100644
index 00000000000..5fbc184c09a
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/data.py
@@ -0,0 +1,36 @@
+import uuid
+from multiprocessing import Queue
+
+
+class Execution:
+    """Data model for an execution of an Agent"""
+
+    def __init__(self, execution_id: str, data: str):
+        self.execution_id = execution_id
+        self.data = data
+
+
+# TODO: This shared class make api & executor coupled in one machine.
+# Replace this with a persistent & remote-hosted queue.
+# One very likely candidate would be persisted Redis (Redis Queue).
+# It will also open the possibility of using it for other purposes like
+# caching, execution engine broker (like Celery), user session management etc.
+class ExecutionQueue:
+    """
+    Queue for managing the execution of agents.
+    This will be shared between different processes
+    """
+
+    def __init__(self):
+        self.queue = Queue()
+
+    def add(self, data: str) -> str:
+        execution_id = uuid.uuid4()
+        self.queue.put(Execution(str(execution_id), data))
+        return str(execution_id)
+
+    def get(self) -> Execution | None:
+        return self.queue.get()
+
+    def empty(self) -> bool:
+        return self.queue.empty()
diff --git a/rnd/autogpt_server/poetry.lock b/rnd/autogpt_server/poetry.lock
new file mode 100644
index 00000000000..bf8dd898532
--- /dev/null
+++ b/rnd/autogpt_server/poetry.lock
@@ -0,0 +1,1151 @@
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+    {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
+]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.10"
+content-hash = "c6f5c72564120998be36fde13fbec725f4dc87c04795a8ebf481138e62b0129e"
diff --git a/rnd/nextgenautogpt/pyproject.toml b/rnd/autogpt_server/pyproject.toml
similarity index 67%
rename from rnd/nextgenautogpt/pyproject.toml
rename to rnd/autogpt_server/pyproject.toml
index 1b3d366befb..ced6a692a8b 100644
--- a/rnd/nextgenautogpt/pyproject.toml
+++ b/rnd/autogpt_server/pyproject.toml
@@ -1,5 +1,5 @@
 [tool.poetry]
-name = "rnd"
+name = "autogpt_server"
 version = "0.1.0"
 description = ""
 authors = ["SwiftyOS <craigswift13@gmail.com>"]
@@ -9,8 +9,14 @@ readme = "README.md"
 python = "^3.10"
 click = "^8.1.7"
 pydantic = "^2.7.1"
+pytest = "^8.2.1"
+uvicorn = "^0.30.1"
+fastapi = "^0.111.0"
 
 
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.scripts]
+app = "autogpt_server.app:main"
diff --git a/rnd/autogpt_server/test/test_app.py b/rnd/autogpt_server/test/test_app.py
new file mode 100644
index 00000000000..2707d07668e
--- /dev/null
+++ b/rnd/autogpt_server/test/test_app.py
@@ -0,0 +1,30 @@
+import pytest
+
+from autogpt_server.data import ExecutionQueue
+from autogpt_server.agent_api import start_server
+from autogpt_server.agent_executor import start_executors
+from fastapi.testclient import TestClient
+
+
+@pytest.fixture
+def client():
+    execution_queue = ExecutionQueue()
+    start_executors(5, execution_queue)
+    return TestClient(start_server(execution_queue, use_uvicorn=False))
+
+
+def test_execute_agent(client):
+    # Assert API is working
+    response = client.post("/agents/dummy_agent_1/execute")
+    assert response.status_code == 200
+
+    # Assert response is correct
+    data = response.json()
+    exec_id = data["execution_id"]
+    agent_id = data["agent_id"]
+    assert agent_id == "dummy_agent_1"
+    assert isinstance(exec_id, str)
+    assert len(exec_id) == 36
+
+    # TODO: Add assertion that the executor is executed after some time
+    # Add this when db integration is done.
diff --git a/rnd/nextgenautogpt/README.md b/rnd/nextgenautogpt/README.md
deleted file mode 100644
index 5104b2f44bc..00000000000
--- a/rnd/nextgenautogpt/README.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# Next Gen AutoGPT 
-
-This is a research project into creating the next generation of autogpt, which is an autogpt agent server.
-
-It will come with the AutoGPT Agent as the default agent
-
-
-## Project Outline
-
-```
-.
-├── READEME.md
-├── nextgenautogpt
-│   ├── __init__.py
-│   ├── __main__.py
-│   ├── cli.py              # The CLI tool for running the system 
-│   ├── executor            # The Component Executor Process
-│   │   └── __init__.py
-│   ├── manager             # The Agent Manager it manages a pool of executors and schedules components to run
-│   │   └── __init__.py
-│   └── server              # The main application. It includes the api server and additional modules
-│       └── __init__.py
-└── pyproject.toml
-```
-
-
-
diff --git a/rnd/nextgenautogpt/nextgenautogpt/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/__init__.py
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/rnd/nextgenautogpt/nextgenautogpt/__main__.py b/rnd/nextgenautogpt/nextgenautogpt/__main__.py
deleted file mode 100644
index d5295305852..00000000000
--- a/rnd/nextgenautogpt/nextgenautogpt/__main__.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import multiprocessing as mp
-from typing import Any
-
-import nextgenautogpt.manager.manager as mod_manager
-import nextgenautogpt.server.server as mod_server
-
-
-def main() -> None:
-    # Create queues/pipes for communication
-    server_to_manager: mp.Queue[Any] = mp.Queue()
-    manager_to_server: mp.Queue[Any] = mp.Queue()
-
-    # Create and start server process
-    server: mp.Process = mp.Process(
-        target=mod_server.run_server,
-        args=(
-            server_to_manager,
-            manager_to_server,
-        ),
-    )
-    server.start()
-
-    # Create and start manager process
-    manager: mp.Process = mp.Process(
-        target=mod_manager.run_manager,
-        args=(
-            server_to_manager,
-            manager_to_server,
-        ),
-    )
-    manager.start()
-
-    server.join()
-    manager.join()
-
-
-if __name__ == "__main__":
-    mp.set_start_method("spawn")
-    main()
diff --git a/rnd/nextgenautogpt/nextgenautogpt/cli.py b/rnd/nextgenautogpt/nextgenautogpt/cli.py
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/rnd/nextgenautogpt/nextgenautogpt/executor/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/executor/__init__.py
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/rnd/nextgenautogpt/nextgenautogpt/executor/executor.py b/rnd/nextgenautogpt/nextgenautogpt/executor/executor.py
deleted file mode 100644
index 73c63bb56bb..00000000000
--- a/rnd/nextgenautogpt/nextgenautogpt/executor/executor.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import multiprocessing as mp
-import time
-from typing import Any
-
-
-def run_executor(manager_to_executor: mp.Queue, executors_to_manager: mp.Queue) -> None:
-    # Each executor process will run this initializer
-    print("Executor process started")
-    while True:
-        if not manager_to_executor.empty():
-            task = manager_to_executor.get()
-            print(f"Executor processing: {task}")
-            executors_to_manager.put("Task completed")
-            # Simulate executor work
-            time.sleep(1)
diff --git a/rnd/nextgenautogpt/nextgenautogpt/manager/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/manager/__init__.py
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/rnd/nextgenautogpt/nextgenautogpt/manager/manager.py b/rnd/nextgenautogpt/nextgenautogpt/manager/manager.py
deleted file mode 100644
index e18326e8cc2..00000000000
--- a/rnd/nextgenautogpt/nextgenautogpt/manager/manager.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import multiprocessing as mp
-import time
-
-import nextgenautogpt.executor.executor as mod_executor
-
-
-def run_manager(server_to_manager: mp.Queue, manager_to_server: mp.Queue) -> None:
-    # Create queue for communication between manager and executors
-    print("Manager process started")
-    manager_to_executor = mp.Queue()
-    executors_to_manager = mp.Queue()
-    # Create and start a pool of executor processes
-    with mp.Pool(
-        processes=5,
-        initializer=mod_executor.run_executor,
-        initargs=(
-            manager_to_executor,
-            executors_to_manager,
-        ),
-    ):
-        while True:
-            if not server_to_manager.empty():
-                message = server_to_manager.get()
-                print(f"Manager received: {message}")
-                manager_to_server.put("Manager: Received message from server")
-                manager_to_executor.put("Task for executor")
-                # Simulate manager work
-                time.sleep(1)
-            if not executors_to_manager.empty():
-                message = executors_to_manager.get()
-                print(f"Manager received: {message}")
-                # Simulate manager work
-                time.sleep(1)
diff --git a/rnd/nextgenautogpt/nextgenautogpt/server/__init__.py b/rnd/nextgenautogpt/nextgenautogpt/server/__init__.py
deleted file mode 100644
index e69de29bb2d..00000000000
diff --git a/rnd/nextgenautogpt/nextgenautogpt/server/server.py b/rnd/nextgenautogpt/nextgenautogpt/server/server.py
deleted file mode 100644
index 23ead8ea2c9..00000000000
--- a/rnd/nextgenautogpt/nextgenautogpt/server/server.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import multiprocessing as mp
-import time
-from typing import Any
-
-
-def run_server(server_to_manager: mp.Queue, manager_to_server: mp.Queue) -> None:
-    print("Server process started")
-    while True:
-        message = "Message from server"
-        server_to_manager.put(message)
-        # Simulate server work
-        time.sleep(1)
-        if not manager_to_server.empty():
-            message = manager_to_server.get()
-            print(f"Server received: {message}")
-            # Simulate server work
-            time.sleep(1)
diff --git a/rnd/nextgenautogpt/poetry.lock b/rnd/nextgenautogpt/poetry.lock
deleted file mode 100644
index c945aaf9c30..00000000000
--- a/rnd/nextgenautogpt/poetry.lock
+++ /dev/null
@@ -1,163 +0,0 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
-
-[[package]]
-name = "annotated-types"
-version = "0.7.0"
-description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
-    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
-]
-
-[[package]]
-name = "click"
-version = "8.1.7"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
-[[package]]
-name = "colorama"
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