From 2c63fb8547c675b6e0dd433881c934caa69eea92 Mon Sep 17 00:00:00 2001
From: Pavan Kumar <66913595+ascender1729@users.noreply.github.com>
Date: Fri, 6 Jun 2025 21:15:12 +0530
Subject: [PATCH 1/2] Add SQLite conversation example

---
 .../sqlite_conversation.py                    | 25 +++++++++++++++++++
 1 file changed, 25 insertions(+)
 create mode 100644 examples/communication_examples/sqlite_conversation.py

diff --git a/examples/communication_examples/sqlite_conversation.py b/examples/communication_examples/sqlite_conversation.py
new file mode 100644
index 00000000..a1e06b05
--- /dev/null
+++ b/examples/communication_examples/sqlite_conversation.py
@@ -0,0 +1,25 @@
+from swarms import Agent
+from swarms.communication.sqlite_wrap import SQLiteConversation
+
+# Configure a conversation store backed by SQLite
+conversation_store = SQLiteConversation(
+    db_path="agent_history.db",
+    table_name="messages",
+    enable_logging=True,
+)
+
+# Create an agent that leverages the SQLite-based memory
+agent = Agent(
+    agent_name="SupportAgent",
+    system_prompt="You are a helpful assistant.",
+    model_name="gpt-4o-mini",
+    long_term_memory=conversation_store,
+    max_loops=1,
+    autosave=True,
+)
+
+response = agent.run("How do I reset my password?")
+print(response)
+
+# Show the conversation as stored in SQLite
+print(conversation_store.to_dict())

From b6b5c4df2bb02bc2e88973f361ac179af9eddde8 Mon Sep 17 00:00:00 2001
From: Pavan Kumar <66913595+ascender1729@users.noreply.github.com>
Date: Fri, 6 Jun 2025 21:45:04 +0530
Subject: [PATCH 2/2] Update SQLite conversation example

---
 examples/communication_examples/sqlite_conversation.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/examples/communication_examples/sqlite_conversation.py b/examples/communication_examples/sqlite_conversation.py
index a1e06b05..312f99a9 100644
--- a/examples/communication_examples/sqlite_conversation.py
+++ b/examples/communication_examples/sqlite_conversation.py
@@ -1,3 +1,9 @@
+"""Persist agent dialogue using SQLiteConversation.
+
+Run `pip install -e .` in the repository root so the ``swarms`` package is
+available before executing this script.
+"""
+
 from swarms import Agent
 from swarms.communication.sqlite_wrap import SQLiteConversation
 
@@ -15,7 +21,9 @@ agent = Agent(
     model_name="gpt-4o-mini",
     long_term_memory=conversation_store,
     max_loops=1,
-    autosave=True,
+    # Autosave attempts to call `save()` on the memory object which is not
+    # implemented in SQLiteConversation, so we disable it for this example.
+    autosave=False,
 )
 
 response = agent.run("How do I reset my password?")