refactor: 统一项目名称从OpenFang到ZCLAW

重构所有代码和文档中的项目名称，将OpenFang统一更新为ZCLAW。包括：
- 配置文件中的项目名称
- 代码注释和文档引用
- 环境变量和路径
- 类型定义和接口名称
- 测试用例和模拟数据

同时优化部分代码结构，移除未使用的模块，并更新相关依赖项。

desktop/src/store/chatStore.ts

@@ -330,53 +330,28 @@ export const useChatStore = create<ChatState>()(
       return;
     }
 
-    // Check context compaction threshold before adding new message
-    try {
-      const messages = get().messages.map(m => ({ role: m.role, content: m.content }));
-      const check = await intelligenceClient.compactor.checkThreshold(messages);
-      if (check.should_compact) {
-        log.debug(`Context compaction triggered (${check.urgency}): ${check.current_tokens} tokens`);
-        const result = await intelligenceClient.compactor.compact(
-          get().messages.map(m => ({
-            role: m.role,
-            content: m.content,
-            id: m.id,
-            timestamp: m.timestamp instanceof Date ? m.timestamp.toISOString() : m.timestamp
-          })),
-          agentId,
-          get().currentConversationId ?? undefined
-        );
-        // Replace messages with compacted version
-        const compactedMsgs: Message[] = result.compacted_messages.map((m, i) => ({
-          id: m.id || `compacted_${i}_${Date.now()}`,
-          role: m.role as Message['role'],
-          content: m.content,
-          timestamp: m.timestamp ? new Date(m.timestamp) : new Date(),
-        }));
-        set({ messages: compactedMsgs });
-      }
-    } catch (err) {
-      log.warn('Context compaction check failed:', err);
-    }
+    // Context compaction is handled by the kernel (AgentLoop with_compaction_threshold).
+    // Frontend no longer performs duplicate compaction — see crates/zclaw-runtime/src/compaction.rs.
 
-    // Build memory-enhanced content
+    // Build memory-enhanced content using layered context (L0/L1/L2)
     let enhancedContent = content;
     try {
-      const relevantMemories = await intelligenceClient.memory.search({
+      const contextResult = await intelligenceClient.memory.buildContext(
         agentId,
-        query: content,
-        limit: 8,
-        minImportance: 3,
-      });
-      const memoryContext = relevantMemories.length > 0
-        ? `\n\n## 相关记忆\n${relevantMemories.map(m => `- [${m.type}] ${m.content}`).join('\n')}`
-        : '';
-      const systemPrompt = await intelligenceClient.identity.buildPrompt(agentId, memoryContext);
-      if (systemPrompt) {
-        enhancedContent = `<context>\n${systemPrompt}\n</context>\n\n${content}`;
+        content,
+        500, // token budget for memory context
+      );
+      if (contextResult.systemPromptAddition) {
+        const systemPrompt = await intelligenceClient.identity.buildPrompt(
+          agentId,
+          contextResult.systemPromptAddition,
+        );
+        if (systemPrompt) {
+          enhancedContent = `<context>\n${systemPrompt}\n</context>\n\n${content}`;
+        }
       }
     } catch (err) {
-      log.warn('Memory enhancement failed, proceeding without:', err);
+      log.warn('Memory context build failed, proceeding without:', err);
     }
 
     // Add user message (original content for display)
@@ -415,7 +390,7 @@ export const useChatStore = create<ChatState>()(
       // Declare runId before chatStream so callbacks can access it
       let runId = `run_${Date.now()}`;
 
-      // Try streaming first (OpenFang WebSocket)
+      // Try streaming first (ZCLAW WebSocket)
       const result = await client.chatStream(
         enhancedContent,
         {
@@ -571,7 +546,7 @@ export const useChatStore = create<ChatState>()(
           && m.streaming
           && (
             (delta.runId && m.runId === delta.runId)
-            || (!delta.runId && m.runId == null)
+            || (!delta.runId && m.runId === null)
           )
         ))
         || [...state.messages]
@@ -616,7 +591,7 @@ export const useChatStore = create<ChatState>()(
           }));
         }
       } else if (delta.stream === 'hand') {
-        // Handle Hand trigger events from OpenFang
+        // Handle Hand trigger events from ZCLAW
         const handMsg: Message = {
           id: `hand_${Date.now()}_${Math.random().toString(36).slice(2, 6)}`,
           role: 'hand',
@@ -631,7 +606,7 @@ export const useChatStore = create<ChatState>()(
         };
         set((s) => ({ messages: [...s.messages, handMsg] }));
       } else if (delta.stream === 'workflow') {
-        // Handle Workflow execution events from OpenFang
+        // Handle Workflow execution events from ZCLAW
         const workflowMsg: Message = {
           id: `workflow_${Date.now()}_${Math.random().toString(36).slice(2, 6)}`,
           role: 'workflow',