Add Dapr session storage option

README.md

@@ -306,6 +306,12 @@ make lint # run linter
 make format-check # run style checker
 ```
 
+Format code if `make format-check` fails above by running:
+
+```
+make format
+```
+
 ## Acknowledgements
 
 We'd like to acknowledge the excellent work of the open-source community, especially:

docs/ref/extensions/memory/dapr_session.md

@@ -0,0 +1,2 @@
+# ::: agents.extensions.memory.dapr_session.DaprSession
+

docs/sessions/index.md

@@ -196,6 +196,8 @@ session = SQLAlchemySession("user_123", engine=engine, create_tables=True)
 
 See [SQLAlchemy Sessions](sqlalchemy_session.md) for detailed documentation.
 
+
+
 ### Advanced SQLite sessions
 
 Enhanced SQLite sessions with conversation branching, usage analytics, and structured queries:
@@ -247,6 +249,10 @@ result = await Runner.run(agent, "Hello", session=session)
 
 See [Encrypted Sessions](encrypted_session.md) for detailed documentation.
 
+### Other session types
+
+There are a few more built-in options. Please refer to `examples/memory/` and source code under `extensions/memory/`.
+
 ## Session management
 
 ### Session ID naming
@@ -262,6 +268,8 @@ Use meaningful session IDs that help you organize conversations:
 - Use in-memory SQLite (`SQLiteSession("session_id")`) for temporary conversations
 - Use file-based SQLite (`SQLiteSession("session_id", "path/to/db.sqlite")`) for persistent conversations
 - Use SQLAlchemy-powered sessions (`SQLAlchemySession("session_id", engine=engine, create_tables=True)`) for production systems with existing databases supported by SQLAlchemy
+- Use Dapr state store sessions (`DaprSession.from_address("session_id", state_store_name="statestore", dapr_address="localhost:50001")`) for production cloud-native deployments with support for 
+30+ database backends with built-in telemetry, tracing, and data isolation
 - Use OpenAI-hosted storage (`OpenAIConversationsSession()`) when you prefer to store history in the OpenAI Conversations API
 - Use encrypted sessions (`EncryptedSession(session_id, underlying_session, encryption_key)`) to wrap any session with transparent encryption and TTL-based expiration
 - Consider implementing custom session backends for other production systems (Redis, Django, etc.) for more advanced use cases
@@ -427,5 +435,6 @@ For detailed API documentation, see:
 - [`OpenAIConversationsSession`][agents.memory.OpenAIConversationsSession] - OpenAI Conversations API implementation
 - [`SQLiteSession`][agents.memory.sqlite_session.SQLiteSession] - Basic SQLite implementation
 - [`SQLAlchemySession`][agents.extensions.memory.sqlalchemy_session.SQLAlchemySession] - SQLAlchemy-powered implementation
+- [`DaprSession`][agents.extensions.memory.dapr_session.DaprSession] - Dapr state store implementation
 - [`AdvancedSQLiteSession`][agents.extensions.memory.advanced_sqlite_session.AdvancedSQLiteSession] - Enhanced SQLite with branching and analytics
 - [`EncryptedSession`][agents.extensions.memory.encrypt_session.EncryptedSession] - Encrypted wrapper for any session