Update name

Author: abrookins

README.md

@@ -1,6 +1,6 @@
-# Redis Agentic Memory
+# Redis Agentic Memory Server
 
-Redis Memory Server is a high-performance and flexible server for managing
+Agentic Memory Server is a high-performance and flexible server for managing
 short-term and long-term memory for agents using Redis. It provides both REST
 API endpoints and an MCP (Managed Control Plane) server interface for robust
 memory operations in AI applications.
@@ -70,7 +70,7 @@ The following endpoints are available:
   ```
 
 ## MCP Server Interface
-Redis Memory Server also offers an MCP (Model Context Protocol) server interface powered by FastMCP, providing tool-based memory operations:
+Agentic Memory Server also offers an MCP (Model Context Protocol) server interface powered by FastMCP, providing tool-based memory operations:
 
 - **list_sessions**: Retrieve available memory sessions with optional pagination.
 - **get_session_memory**: Fetch memory (messages and context) for a specific session.

redis_memory_server/__init__.py

@@ -1,3 +1,3 @@
-"""Redis Memory Server - A memory system for conversational AI."""
+"""Redis Agentic Memory Server - A memory system for conversational AI."""
 
 __version__ = "0.1.0"

redis_memory_server/main.py

@@ -17,12 +17,12 @@
 logger = get_logger(__name__)
 
 # Create FastAPI app
-app = FastAPI(title="Redis Memory Server")
+app = FastAPI(title="Redis Agentic Memory Server")
 
 
 async def startup_event():
     """Initialize the application on startup"""
-    logger.info("Starting Redis Memory Server 🤘")
+    logger.info("Starting Redis Agentic Memory Server 🤘")
 
     # Check for required API keys
     available_providers = []
@@ -104,7 +104,7 @@ async def startup_event():
         logger.info(f"Available Anthropic models: {', '.join(anthropic_models)}")
 
     logger.info(
-        "Redis Memory Server initialized",
+        "Redis Agentic Memory Server initialized",
         window_size=settings.window_size,
         generation_model=settings.generation_model,
         embedding_model=settings.embedding_model,
@@ -114,7 +114,7 @@ async def startup_event():
 
 async def shutdown_event():
     """Clean up resources on shutdown"""
-    logger.info("Shutting down Redis Memory Server")
+    logger.info("Shutting down Redis Agentic Memory Server")
     if utils._redis_pool:
         await utils._redis_pool.aclose()
 
@@ -142,7 +142,7 @@ async def mcp_middleware(request, call_next):
 def on_start_logger(port: int):
     """Log startup information"""
     print("\n-----------------------------------")
-    print(f"🧠 Redis Memory Server running on port: {port}")
+    print(f"🧠 Redis Agentic Memory Server running on port: {port}")
     print("-----------------------------------\n")
 
 

redis_memory_server/mcp.py

@@ -22,7 +22,7 @@
 
 
 logger = logging.getLogger(__name__)
-mcp_app = FastMCP("Redis Memory Server")
+mcp_app = FastMCP("Redis Agentic Memory Server")
 
 
 @mcp_app.tool()

run.py

@@ -1,13 +1,14 @@
 #!/usr/bin/env python3
-"""Run the Redis Memory Server."""
+"""Run the Redis Agentic Memory Server."""
+
+import os
 
 import uvicorn
 
+from redis_memory_server.main import on_start_logger
+
 
 if __name__ == "__main__":
-    uvicorn.run(
-        "redis_memory_server.main:app",
-        host="0.0.0.0",
-        port=8000,
-        reload=True,
-    )
+    port = int(os.environ.get("PORT", "8000"))
+    on_start_logger(port)
+    uvicorn.run("redis_memory_server.main:app", host="0.0.0.0", port=port, reload=False)