diff --git a/scripts/api.py b/scripts/api.py
index 2c29c9e..c156a79 100644
--- a/scripts/api.py
+++ b/scripts/api.py
@@ -56,7 +56,7 @@ DEFAULT_SETTINGS = {
 }
 
 print("Loading Aaron AI...")
-PG_DSN = os.getenv("PG_DSN", "dbname=aaronai user=aaronai password=aaronai_db_password host=localhost")
+PG_DSN = os.getenv("PG_DSN")
 
 def get_pg():
     return psycopg2.connect(PG_DSN)
diff --git a/scripts/dream.py b/scripts/dream.py
index 235eaae..dd537e6 100644
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -23,7 +23,7 @@ import psycopg2
 
 load_dotenv(Path.home() / "aaronai" / ".env")
 
-PG_DSN = os.getenv("PG_DSN", "dbname=aaronai user=aaronai password=aaronai_db_password host=localhost")
+PG_DSN = os.getenv("PG_DSN")
 
 def get_pg():
     return psycopg2.connect(PG_DSN)
diff --git a/scripts/ingest.py b/scripts/ingest.py
index e984bae..383d235 100644
--- a/scripts/ingest.py
+++ b/scripts/ingest.py
@@ -16,7 +16,7 @@ load_dotenv(Path.home() / "aaronai" / ".env")
 print("Loading embedding model...")
 embedder = SentenceTransformer("all-MiniLM-L6-v2")
 
-PG_DSN = os.getenv("PG_DSN", "dbname=aaronai user=aaronai password=aaronai_db_password host=localhost")
+PG_DSN = os.getenv("PG_DSN")
 
 def get_pg():
     return psycopg2.connect(PG_DSN)
diff --git a/scripts/ingest_conversations.py b/scripts/ingest_conversations.py
index 0e752f7..2bd51cb 100644
--- a/scripts/ingest_conversations.py
+++ b/scripts/ingest_conversations.py
@@ -15,7 +15,7 @@ from sentence_transformers import SentenceTransformer
 load_dotenv(Path.home() / "aaronai" / ".env")
 
 CONVERSATIONS_DB = str(Path.home() / "aaronai" / "conversations.db")
-PG_DSN = os.getenv("PG_DSN", "dbname=aaronai user=aaronai password=aaronai_db_password host=localhost")
+PG_DSN = os.getenv("PG_DSN")
 MIN_EXCHANGES = 3
 
 print("Loading embedding model...")
diff --git a/scripts/migrate_to_pgvector.py b/scripts/migrate_to_pgvector.py
index 2f570f6..aff92b6 100644
--- a/scripts/migrate_to_pgvector.py
+++ b/scripts/migrate_to_pgvector.py
@@ -10,7 +10,10 @@ from pathlib import Path
 from sentence_transformers import SentenceTransformer
 
 CHROMA_SQLITE = str(Path.home() / "aaronai" / "db" / "chroma.sqlite3")
-PG_DSN = "dbname=aaronai user=aaronai password=aaronai_db_password host=localhost"
+import os
+PG_DSN = os.getenv("PG_DSN")
+if not PG_DSN:
+    raise RuntimeError("PG_DSN environment variable not set")
 
 print("Loading embedding model...")
 embedder = SentenceTransformer("all-MiniLM-L6-v2")