diff --git a/.env.template b/.env.template
index c8c33dd8..20736005 100644
--- a/.env.template
+++ b/.env.template
@@ -24,5 +24,6 @@ USE_WEAVIATE_EMBEDDED=False
 WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate"
 WEAVIATE_USERNAME=
 WEAVIATE_PASSWORD=
+WEAVIATE_API_KEY=
 MEMORY_INDEX="auto-gpt"
 MEMORY_BACKEND="local"
diff --git a/README.md b/README.md
index 3f5163f7..9b7753b4 100644
--- a/README.md
+++ b/README.md
@@ -226,7 +226,7 @@ export PINECONE_ENV="Your pinecone region" # something like: us-east4-gcp
 ## Weaviate Setup
 
 [Weaviate](https://weaviate.io/) is an open-source vector database. It allows to store data objects and vector embeddings from ML-models and scales seamlessly to billion of data objects. [An instance of Weaviate can be created locally (using Docker), on Kubernetes or using Weaviate Cloud Services](https://weaviate.io/developers/weaviate/quickstart). 
-Although still experimental, [Embedded Weaviate](https://weaviate.io/developers/weaviate/installation/embedded) is supported which allows the Auto-GPT process itself to start a Weaviate instance. To enable it, set `USE_WEAVIATE_EMBEDDED` to `True` and make sure you `pip install "weaviate-client>=3.15.4"`.
+Although still experimental, [Embedded Weaviate](https://weaviate.io/developers/weaviate/installation/embedded) is supported which allows the Auto-GPT process itself to start a Weaviate instance. To enable it, set `USE_WEAVIATE_EMBEDDED` to `True` and make sure you `pip install "weaviate-client>=3.15.4"`. 
 
 #### Setting up environment variables
 
@@ -239,6 +239,7 @@ WEAVIATE_PORT="8080"
 WEAVIATE_PROTOCOL="http"
 WEAVIATE_USERNAME="your username"
 WEAVIATE_PASSWORD="your password"
+WEAVIATE_API_KEY="your weaviate API key if you have one"
 WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate" # this is optional and indicates where the data should be persisted when running an embedded instance
 USE_WEAVIATE_EMBEDDED=False # set to True to run Embedded Weaviate
 MEMORY_INDEX="Autogpt" # name of the index to create for the application
diff --git a/scripts/config.py b/scripts/config.py
index 2c08f762..065e37dd 100644
--- a/scripts/config.py
+++ b/scripts/config.py
@@ -74,7 +74,8 @@ class Config(metaclass=Singleton):
         self.weaviate_username = os.getenv("WEAVIATE_USERNAME", None)
         self.weaviate_password = os.getenv("WEAVIATE_PASSWORD", None)
         self.weaviate_scopes = os.getenv("WEAVIATE_SCOPES", None)
-        self.weaviate_embedded_path = os.getenv('WEAVIATE_EMBEDDED_PATH', '~/.local/share/weaviate')
+        self.weaviate_embedded_path = os.getenv("WEAVIATE_EMBEDDED_PATH", "~/.local/share/weaviate")
+        self.weaviate_api_key = os.getenv("WEAVIATE_API_KEY", None)
         self.use_weaviate_embedded = os.getenv("USE_WEAVIATE_EMBEDDED", "False") == "True"
 
         self.image_provider = os.getenv("IMAGE_PROVIDER")
diff --git a/scripts/memory/weaviate.py b/scripts/memory/weaviate.py
index 6de8be70..b5710cb5 100644
--- a/scripts/memory/weaviate.py
+++ b/scripts/memory/weaviate.py
@@ -46,6 +46,8 @@ class WeaviateMemory(MemoryProviderSingleton):
     def _build_auth_credentials(self, cfg):
         if cfg.weaviate_username and cfg.weaviate_password:
             return weaviate_auth.AuthClientPassword(cfg.weaviate_username, cfg.weaviate_password)
+        if cfg.weaviate_api_key:
+            return weaviate.auth.AuthApiKey(api_key=cfg.weaviate_api_key)
         else:
             return None