feat: add AI学习助手 agent (KG+RAG ideal) and renshenguo feishu bot

- Add AI学习助手 agent creation script with all 39 tools, 3-layer KG+RAG memory
- Add renshenguo (人参果) feishu bot integration (app_service + ws_handler)
- Register renshenguo WS client in main.py startup
- Add RENSHENGUO_APP_ID / RENSHENGUO_APP_SECRET / RENSHENGUO_AGENT_ID config
- Reorganize docs from root into docs/ subdirectories
- Move startup scripts to scripts/startup/
- Various backend optimizations and tool improvements

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/app/agent_runtime/workflow_integration.py

@@ -14,6 +14,7 @@ from app.agent_runtime.schemas import (
     AgentLLMConfig,
     AgentToolConfig,
     AgentBudgetConfig,
+    AgentMemoryConfig,
 )
 
 logger = logging.getLogger(__name__)
@@ -83,20 +84,35 @@ async def run_agent_node(
         if "max_tool_calls" in budget_limits:
             budget.max_tool_calls = max(1, int(budget_limits["max_tool_calls"]))
 
+    # 构建记忆配置（从 node_data 读取完整字段，兼容简化配置）
+    mem_enabled = bool(node_data.get("memory", True))
+    memory_config = AgentMemoryConfig(
+        enabled=mem_enabled,
+        max_history_messages=int(node_data.get("memory_max_history", 20)),
+        persist_to_db=bool(node_data.get("memory_persist", mem_enabled)),
+        vector_memory_enabled=bool(node_data.get("memory_vector_enabled", True)),
+        vector_memory_top_k=int(node_data.get("memory_vector_top_k", 5)),
+        learning_enabled=bool(node_data.get("memory_learning", True)),
+    )
+
+    # 构建工具审批配置
+    tool_config = AgentToolConfig(
+        include_tools=node_data.get("tools") or [],
+        exclude_tools=node_data.get("exclude_tools") or [],
+        require_approval=node_data.get("require_approval") or [],
+        approval_timeout_ms=int(node_data.get("approval_timeout_ms", 60000)),
+        approval_default=node_data.get("approval_default", "deny"),
+    )
+
     agent_config = AgentConfig(
         name=node_data.get("label", "agent_node"),
         system_prompt=formatted_prompt,
         llm=llm_config,
-        tools=AgentToolConfig(
-            include_tools=node_data.get("tools", []),
-            exclude_tools=node_data.get("exclude_tools", []),
-        ),
-        memory={
-            "enabled": node_data.get("memory", True),
-            "persist_to_db": node_data.get("memory", True),
-        },
+        tools=tool_config,
+        memory=memory_config,
         budget=budget,
         user_id=user_id,
+        memory_scope_id=node_data.get("memory_scope_id") or node_data.get("agent_id", ""),
         self_review_enabled=node_data.get("self_review_enabled", False),
     )