diff --git a/python/configs/agent_cards/grid_agent.json b/python/configs/agent_cards/grid_agent.json
index df255ab93..89e531ec9 100644
--- a/python/configs/agent_cards/grid_agent.json
+++ b/python/configs/agent_cards/grid_agent.json
@@ -10,6 +10,7 @@
   "skills": [],
   "enabled": true,
   "metadata": {
+    "hidden": true,
     "planner_passthrough": true,
     "version": "0.1.0",
     "author": "ValueCell Team",
diff --git a/python/configs/agent_cards/strategy_agent.json b/python/configs/agent_cards/prompt_strategy_agent.json
similarity index 88%
rename from python/configs/agent_cards/strategy_agent.json
rename to python/configs/agent_cards/prompt_strategy_agent.json
index bd6c970c2..90ca68331 100644
--- a/python/configs/agent_cards/strategy_agent.json
+++ b/python/configs/agent_cards/prompt_strategy_agent.json
@@ -1,6 +1,6 @@
 {
-  "name": "StrategyAgent",
-  "display_name": "Strategy Agent",
+  "name": "PromptBasedStrategyAgent",
+  "display_name": "Prompt-based Strategy Agent",
   "url": "http://localhost:10006/",
   "description": "LLM-driven strategy composer that turns market features into normalized trade instructions. Includes a simple runtime for demo and testing.",
   "capabilities": {
@@ -21,11 +21,12 @@
   ],
   "enabled": true,
   "metadata": {
+    "hidden": true,
     "planner_passthrough": true,
     "version": "0.1.0",
     "author": "ValueCell Team",
     "tags": ["strategy", "trading", "llm", "demo"],
     "notes": "This card is a lightweight example; replace model api_key and tune parameters for production use.",
-    "local_agent_class": "valuecell.agents.prompt_strategy_agent.core:StrategyAgent"
+    "local_agent_class": "valuecell.agents.prompt_strategy_agent.core:PromptBasedStrategyAgent"
   }
 }
diff --git a/python/valuecell/agents/prompt_strategy_agent/__main__.py b/python/valuecell/agents/prompt_strategy_agent/__main__.py
index b39097bb9..c5ed75045 100644
--- a/python/valuecell/agents/prompt_strategy_agent/__main__.py
+++ b/python/valuecell/agents/prompt_strategy_agent/__main__.py
@@ -2,8 +2,8 @@
 
 from valuecell.core.agent import create_wrapped_agent
 
-from .core import StrategyAgent
+from .core import PromptBasedStrategyAgent
 
 if __name__ == "__main__":
-    agent = create_wrapped_agent(StrategyAgent)
+    agent = create_wrapped_agent(PromptBasedStrategyAgent)
     asyncio.run(agent.serve())
diff --git a/python/valuecell/agents/prompt_strategy_agent/core.py b/python/valuecell/agents/prompt_strategy_agent/core.py
index 6689aba00..e25c0fcfd 100644
--- a/python/valuecell/agents/prompt_strategy_agent/core.py
+++ b/python/valuecell/agents/prompt_strategy_agent/core.py
@@ -16,8 +16,7 @@
 from valuecell.agents.common.trading.models import UserRequest
 
 
-# TODO: Rename to PromptBasedStrategyAgent
-class StrategyAgent(BaseStrategyAgent):
+class PromptBasedStrategyAgent(BaseStrategyAgent):
     """Default strategy agent with standard feature computation and LLM composer.
 
     This implementation uses:
diff --git a/python/valuecell/server/api/routers/strategy_agent.py b/python/valuecell/server/api/routers/strategy_agent.py
index 27b2c5a4c..b6002e510 100644
--- a/python/valuecell/server/api/routers/strategy_agent.py
+++ b/python/valuecell/server/api/routers/strategy_agent.py
@@ -98,7 +98,7 @@ async def create_strategy_agent(
 
             query = user_request.model_dump_json()
 
-            agent_name = "StrategyAgent"
+            agent_name = "PromptBasedStrategyAgent"
 
             # Build UserInput for orchestrator
             user_input_meta = UserInputMetadata(
diff --git a/python/valuecell/server/services/agent_service.py b/python/valuecell/server/services/agent_service.py
index 0c3dd2fb3..b78ef3532 100644
--- a/python/valuecell/server/services/agent_service.py
+++ b/python/valuecell/server/services/agent_service.py
@@ -17,7 +17,10 @@ class AgentService:
 
     @staticmethod
     def get_all_agents(
-        db: Session, enabled_only: bool = False, name_filter: Optional[str] = None
+        db: Session,
+        enabled_only: bool = False,
+        name_filter: Optional[str] = None,
+        exclude_hidden: bool = True,
     ) -> AgentListData:
         """
         Get all agents from database with optional filters.
@@ -51,22 +54,29 @@ def get_all_agents(
         agents = query.order_by(Agent.created_at.desc()).all()
 
         # Convert to data models
-        agent_data_list = [
-            AgentData(
-                id=agent.id,
-                agent_name=agent.name,
-                display_name=agent.display_name,
-                description=agent.description,
-                version=agent.version,
-                enabled=agent.enabled,
-                icon_url=agent.icon_url,
-                agent_metadata=agent.agent_metadata,
-                config=agent.config,
-                created_at=agent.created_at,
-                updated_at=agent.updated_at,
+        agent_data_list = []
+        for _agent_entity in agents:
+            if (
+                _agent_entity.agent_metadata
+                and exclude_hidden
+                and _agent_entity.agent_metadata.get("hidden", False)
+            ):
+                continue
+
+            agent = AgentData(
+                id=_agent_entity.id,
+                agent_name=_agent_entity.name,
+                display_name=_agent_entity.display_name,
+                description=_agent_entity.description,
+                version=_agent_entity.version,
+                enabled=_agent_entity.enabled,
+                icon_url=_agent_entity.icon_url,
+                agent_metadata=_agent_entity.agent_metadata,
+                config=_agent_entity.config,
+                created_at=_agent_entity.created_at,
+                updated_at=_agent_entity.updated_at,
             )
-            for agent in agents
-        ]
+            agent_data_list.append(agent)
 
         # Calculate statistics
         total_count = len(agent_data_list)