diff --git a/.gitignore b/.gitignore
index ebc96c7..eca917d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -200,5 +200,8 @@ sampler_overrides/*
 # Gpu lib preferences file
 gpu_lib.txt
 
+# Start options file
+start_options.json
+
 # OpenAPI JSON
 openapi.json
diff --git a/pyproject.toml b/pyproject.toml
index e53d887..7cacebc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -64,22 +64,22 @@ cu121 = [
     "torch @ https://download.pytorch.org/whl/cu121/torch-2.3.1%2Bcu121-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
 
     # Exl2
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu121/exllamav2/exllamav2-0.1.8+cu121.torch2.3.1-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu121/exllamav2/exllamav2-0.1.8+cu121.torch2.3.1-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu121/exllamav2/exllamav2-0.1.8+cu121.torch2.3.1-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu121/exllamav2/exllamav2-0.1.8+cu121.torch2.3.1-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu121/exllamav2/exllamav2-0.1.8+cu121.torch2.3.1-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu121/exllamav2/exllamav2-0.1.8+cu121.torch2.3.1-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.3.1-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.3.1-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.3.1-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.3.1-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.3.1-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.3.1-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
 
     # Windows FA2 from https://github.com/bdashore3/flash-attention/releases
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu121/flash-attn/flash_attn-2.6.3+cu123torch2.3.1cxx11abiFALSE-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu121/flash-attn/flash_attn-2.6.3+cu123torch2.3.1cxx11abiFALSE-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu121/flash-attn/flash_attn-2.6.3+cu123torch2.3.1cxx11abiFALSE-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
+    "flash_attn @ https://github.com/bdashore3/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.3.1cxx11abiFALSE-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
+    "flash_attn @ https://github.com/bdashore3/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.3.1cxx11abiFALSE-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
+    "flash_attn @ https://github.com/bdashore3/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.3.1cxx11abiFALSE-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
 
     # Linux FA2 from https://github.com/Dao-AILab/flash-attention/releases
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu121/flash-attn/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu121/flash-attn/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu121/flash-attn/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
+    "flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
+    "flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
+    "flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu123torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
 ]
 cu118 = [
     # Torch
@@ -91,17 +91,17 @@ cu118 = [
     "torch @ https://download.pytorch.org/whl/cu118/torch-2.3.1%2Bcu118-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
 
     # Exl2
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu118/exllamav2/exllamav2-0.1.8+cu118.torch2.3.1-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu118/exllamav2/exllamav2-0.1.8+cu118.torch2.3.1-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu118/exllamav2/exllamav2-0.1.8+cu118.torch2.3.1-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu118/exllamav2/exllamav2-0.1.8+cu118.torch2.3.1-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu118/exllamav2/exllamav2-0.1.8+cu118.torch2.3.1-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/cu118/exllamav2/exllamav2-0.1.8+cu118.torch2.3.1-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu118.torch2.3.1-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu118.torch2.3.1-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu118.torch2.3.1-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu118.torch2.3.1-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu118.torch2.3.1-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu118.torch2.3.1-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
 
     # Linux FA2 from https://github.com/Dao-AILab/flash-attention/releases
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu118/flash-attn/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu118/flash-attn/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
-    "flash_attn @ https://royallab-pip-index.netlify.app/whl/cu118/flash-attn/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
+    "flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
+    "flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
+    "flash_attn @ https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.3/flash_attn-2.6.3+cu118torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
 ]
 amd = [
     # Torch triton for ROCm
@@ -115,9 +115,9 @@ amd = [
     "torch @ https://download.pytorch.org/whl/rocm6.0/torch-2.3.1%2Brocm6.0-cp310-cp310-linux_x86_64.whl ; python_version == '3.10'",
 
     # Exl2
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/rocm/exllamav2/exllamav2-0.1.8+rocm6.0.torch2.3.1-cp312-cp312-linux_x86_64.whl ; python_version == '3.12'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/rocm/exllamav2/exllamav2-0.1.8+rocm6.0.torch2.3.1-cp311-cp311-linux_x86_64.whl ; python_version == '3.11'",
-    "exllamav2 @ https://royallab-pip-index.netlify.app/whl/rocm/exllamav2/exllamav2-0.1.8+rocm6.0.torch2.3.1-cp310-cp310-linux_x86_64.whl ; python_version == '3.10'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+rocm6.0.torch2.3.1-cp312-cp312-linux_x86_64.whl ; python_version == '3.12'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+rocm6.0.torch2.3.1-cp311-cp311-linux_x86_64.whl ; python_version == '3.11'",
+    "exllamav2 @ https://github.com/turboderp/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+rocm6.0.torch2.3.1-cp310-cp310-linux_x86_64.whl ; python_version == '3.10'",
 ]
 
 # MARK: Ruff options
diff --git a/start.bat b/start.bat
index c7b8330..4ae3247 100644
--- a/start.bat
+++ b/start.bat
@@ -19,3 +19,5 @@ if exist "%CONDA_PREFIX%" (
 
 :: Call the python script with batch args
 call python start.py %*
+
+pause
diff --git a/start.py b/start.py
index ddf4d27..54c70b5 100644
--- a/start.py
+++ b/start.py
@@ -1,6 +1,7 @@
 """Utility to automatically upgrade and start the API"""
 
 import argparse
+import json
 import os
 import pathlib
 import platform
@@ -11,6 +12,9 @@ from shutil import copyfile
 from common.args import convert_args_to_dict, init_argparser
 
 
+start_options = {}
+
+
 def get_user_choice(question: str, options_dict: dict):
     """
     Gets user input in a commandline script.
@@ -39,36 +43,24 @@ def get_install_features(lib_name: str = None):
     """Fetches the appropriate requirements file depending on the GPU"""
     install_features = None
     possible_features = ["cu121", "cu118", "amd"]
-    saved_lib_path = pathlib.Path("gpu_lib.txt")
 
-    if lib_name:
-        print("Overriding GPU lib name from args.")
-    else:
-        # Try getting the GPU lib from file
-        if saved_lib_path.exists():
-            with open(saved_lib_path.resolve(), "r") as f:
-                lib_name = f.readline().strip()
-        else:
-            # Ask the user for the GPU lib
-            gpu_lib_choices = {
-                "A": {"pretty": "NVIDIA Cuda 12.x", "internal": "cu121"},
-                "B": {"pretty": "NVIDIA Cuda 11.8", "internal": "cu118"},
-                "C": {"pretty": "AMD", "internal": "amd"},
-            }
-            user_input = get_user_choice(
-                "Select your GPU. If you don't know, select Cuda 12.x (A)",
-                gpu_lib_choices,
-            )
+    if not lib_name:
+        # Ask the user for the GPU lib
+        gpu_lib_choices = {
+            "A": {"pretty": "NVIDIA Cuda 12.x", "internal": "cu121"},
+            "B": {"pretty": "NVIDIA Cuda 11.8", "internal": "cu118"},
+            "C": {"pretty": "AMD", "internal": "amd"},
+        }
+        user_input = get_user_choice(
+            "Select your GPU. If you don't know, select Cuda 12.x (A)",
+            gpu_lib_choices,
+        )
 
-            lib_name = gpu_lib_choices.get(user_input, {}).get("internal")
+        lib_name = gpu_lib_choices.get(user_input, {}).get("internal")
 
-            # Write to a file for subsequent runs
-            with open(saved_lib_path.resolve(), "w") as f:
-                f.write(lib_name)
-                print(
-                    "Saving your choice to gpu_lib.txt. "
-                    "Delete this file and restart if you want to change your selection."
-                )
+        # Write to start options
+        start_options["gpu_lib"] = lib_name
+        print("Saving your choice to start options.")
 
     # Assume default if the file is invalid
     if lib_name and lib_name in possible_features:
@@ -104,10 +96,16 @@ def add_start_args(parser: argparse.ArgumentParser):
     """Add start script args to the provided parser"""
     start_group = parser.add_argument_group("start")
     start_group.add_argument(
-        "-iu",
-        "--ignore-upgrade",
+        "-ur",
+        "--update-repository",
         action="store_true",
-        help="Ignore requirements upgrade",
+        help="Update local git repository to latest",
+    )
+    start_group.add_argument(
+        "-ud",
+        "--update-deps",
+        action="store_true",
+        help="Update all pip dependencies",
     )
     start_group.add_argument(
         "-nw",
@@ -122,6 +120,26 @@ def add_start_args(parser: argparse.ArgumentParser):
     )
 
 
+def migrate_gpu_lib():
+    gpu_lib_path = pathlib.Path("gpu_lib.txt")
+
+    if not gpu_lib_path.exists():
+        return
+
+    print("Migrating gpu_lib.txt to the new start_options.json")
+    with open("gpu_lib.txt", "r") as gpu_lib_file:
+        start_options["gpu_lib"] = gpu_lib_file.readline().strip()
+        start_options["first_run_done"] = True
+
+    # Remove the old file
+    gpu_lib_path.unlink()
+
+    print(
+        "Successfully migrated gpu lib options to start_options. "
+        "The old file has been deleted."
+    )
+
+
 if __name__ == "__main__":
     subprocess.run(["pip", "-V"])
 
@@ -129,6 +147,34 @@ if __name__ == "__main__":
     parser = init_argparser()
     add_start_args(parser)
     args = parser.parse_args()
+    script_ext = "bat" if platform.system() == "Windows" else "sh"
+
+    start_options_path = pathlib.Path("start_options.json")
+    if start_options_path.exists():
+        with open(start_options_path) as start_options_file:
+            start_options = json.load(start_options_file)
+
+        if start_options.get("first_run_done"):
+            first_run = False
+    else:
+        print(
+            "It looks like you're running TabbyAPI for the first time. "
+            "Getting things ready..."
+        )
+
+    # Migrate from old setting storage
+    migrate_gpu_lib()
+
+    # Set variables that rely on start options
+    first_run = not start_options.get("first_run_done")
+
+    if args.gpu_lib:
+        print("Overriding GPU lib name from args.")
+        gpu_lib = args.gpu_lib
+    elif "gpu_lib" in start_options:
+        gpu_lib = start_options.get("gpu_lib")
+    else:
+        gpu_lib = None
 
     # Create a config if it doesn't exist
     # This is not necessary to run TabbyAPI, but is new user proof
@@ -144,19 +190,50 @@ if __name__ == "__main__":
             f"Created one at {str(config_path.resolve())}"
         )
 
-    if args.ignore_upgrade:
-        print("Ignoring pip dependency upgrade due to user request.")
-    else:
-        install_features = None if args.nowheel else get_install_features(args.gpu_lib)
+    if args.update_repository:
+        print("Pulling latest changes from Github.")
+        pull_command = "git pull"
+        subprocess.run(pull_command.split(" "))
+
+    if first_run or args.update_deps:
+        install_features = None if args.nowheel else get_install_features(gpu_lib)
         features = f"[{install_features}]" if install_features else ""
 
         # pip install .[features]
         install_command = f"pip install -U .{features}"
         print(f"Running install command: {install_command}")
         subprocess.run(install_command.split(" "))
+        print("\n")
+
+        if args.update_deps:
+            print(
+                f"Dependencies updated. Please run TabbyAPI with `start.{script_ext}`. "
+                "Exiting."
+            )
+            sys.exit(0)
+        else:
+            print(
+                f"Dependencies installed. Update them with `update_deps.{script_ext}` "
+                "inside the `update_scripts` folder."
+            )
+
+    if first_run:
+        start_options["first_run_done"] = True
+
+    # Save start options
+    with open("start_options.json", "w") as start_file:
+        start_file.write(json.dumps(start_options))
+
+        print(
+            "Successfully wrote your start script options to `start_options.json`. \n"
+            "If something goes wrong, editing or deleting the file "
+            "will reinstall TabbyAPI as a first-time user."
+        )
 
     # Import entrypoint after installing all requirements
     from main import entrypoint
 
     converted_args = convert_args_to_dict(args, parser)
+
+    print("Starting TabbyAPI...")
     entrypoint(converted_args)
diff --git a/update_scripts/update_deps.bat b/update_scripts/update_deps.bat
new file mode 100644
index 0000000..e03c827
--- /dev/null
+++ b/update_scripts/update_deps.bat
@@ -0,0 +1,24 @@
+@echo off
+
+:: Creates a venv if it doesn't exist and runs the start script for requirements upgrades
+:: This is intended for users who want to start the API and have everything upgraded and installed
+
+:: cd to the parent directory
+cd "%~dp0.."
+
+:: Don't create a venv if a conda environment is active
+if exist "%CONDA_PREFIX%" (
+    echo It looks like you're in a conda environment. Skipping venv check.
+) else (
+    if not exist "venv\" (
+        echo Venv doesn't exist! Please run start.bat instead.
+        exit 0
+    )
+
+    call .\venv\Scripts\activate.bat
+)
+
+:: Call the python script with batch args
+call python start.py --update-deps %*
+
+pause
diff --git a/update_scripts/update_deps.sh b/update_scripts/update_deps.sh
new file mode 100755
index 0000000..becfa49
--- /dev/null
+++ b/update_scripts/update_deps.sh
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+cd "$(dirname "$0")/.." || exit
+
+if [ -n "$CONDA_PREFIX" ]; then
+    echo "It looks like you're in a conda environment. Skipping venv check."
+else
+    if [ ! -d "venv" ]; then
+        echo "Venv doesn't exist! Please run start.sh instead."
+        exit 0
+    fi
+
+    echo "Activating venv"
+
+    # shellcheck source=/dev/null
+    source venv/bin/activate
+fi
+
+python3 start.py --update-deps "$@"
diff --git a/update_scripts/update_deps_and_pull.bat b/update_scripts/update_deps_and_pull.bat
new file mode 100644
index 0000000..c22866b
--- /dev/null
+++ b/update_scripts/update_deps_and_pull.bat
@@ -0,0 +1,24 @@
+@echo off
+
+:: Creates a venv if it doesn't exist and runs the start script for requirements upgrades
+:: This is intended for users who want to start the API and have everything upgraded and installed
+
+:: cd to the parent directory
+cd "%~dp0.."
+
+:: Don't create a venv if a conda environment is active
+if exist "%CONDA_PREFIX%" (
+    echo It looks like you're in a conda environment. Skipping venv check.
+) else (
+    if not exist "venv\" (
+        echo Venv doesn't exist! Please run start.bat instead.
+        exit 0
+    )
+
+    call .\venv\Scripts\activate.bat
+)
+
+:: Call the python script with batch args
+call python start.py --update-deps --update-repository %*
+
+pause
diff --git a/update_scripts/update_deps_and_pull.sh b/update_scripts/update_deps_and_pull.sh
new file mode 100755
index 0000000..4582cc5
--- /dev/null
+++ b/update_scripts/update_deps_and_pull.sh
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+cd "$(dirname "$0")/.." || exit
+
+if [ -n "$CONDA_PREFIX" ]; then
+    echo "It looks like you're in a conda environment. Skipping venv check."
+else
+    if [ ! -d "venv" ]; then
+        echo "Venv doesn't exist! Please run start.sh instead."
+        exit 0
+    fi
+
+    echo "Activating venv"
+
+    # shellcheck source=/dev/null
+    source venv/bin/activate
+fi
+
+python3 start.py --update-deps --update-repository "$@"