diff --git a/frontend/package.json b/frontend/package.json
index e62840a..438c06a 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -14,6 +14,7 @@
   "license": "ISC",
   "dependencies": {
     "@types/qrcode": "^1.5.6",
+    "dagre": "^0.8.5",
     "highlight.js": "^11.11.1",
     "html2canvas": "^1.4.1",
     "jspdf": "^4.2.1",
@@ -22,7 +23,8 @@
     "qrcode": "^1.5.4",
     "react": "^18.3.1",
     "react-dom": "^18.3.1",
-    "react-router-dom": "^6.30.3"
+    "react-router-dom": "^6.30.3",
+    "reactflow": "^11.11.4"
   },
   "devDependencies": {
     "@types/react": "^18.3.29",
diff --git a/frontend/src/pages/front/AgentCanvas.css b/frontend/src/pages/front/AgentCanvas.css
new file mode 100644
index 0000000..e69ea40
--- /dev/null
+++ b/frontend/src/pages/front/AgentCanvas.css
@@ -0,0 +1,66 @@
+.agent-canvas-page {
+  display: flex;
+  flex-direction: column;
+  height: calc(100vh - 60px);
+  background: #0f1117;
+}
+.canvas-toolbar {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  padding: 10px 16px;
+  background: #1a1d27;
+  border-bottom: 1px solid rgba(255,255,255,0.06);
+  flex-shrink: 0;
+}
+.agent-name-input {
+  background: rgba(255,255,255,0.05);
+  border: 1px solid rgba(255,255,255,0.1);
+  border-radius: 6px;
+  color: #e0e0e0;
+  padding: 6px 12px;
+  font-size: 14px;
+  width: 200px;
+}
+.toolbar-actions { display: flex; gap: 8px; margin-left: auto; }
+.tb-btn {
+  padding: 6px 14px;
+  border-radius: 6px;
+  border: 1px solid rgba(255,255,255,0.12);
+  background: rgba(255,255,255,0.05);
+  color: #ccc;
+  font-size: 13px;
+  cursor: pointer;
+  transition: all 0.2s;
+}
+.tb-btn:hover { background: rgba(255,255,255,0.1); }
+.tb-btn.primary { background: #5B5FED; border-color: #5B5FED; color: #fff; }
+.tb-btn.primary:hover { background: #4A4ECC; }
+.tb-btn.secondary { background: rgba(255,255,255,0.03); }
+.canvas-container { flex: 1; min-height: 0; }
+
+.agent-node {
+  padding: 10px 14px;
+  border-radius: 10px;
+  min-width: 140px;
+  font-size: 12px;
+  border: 2px solid rgba(255,255,255,0.1);
+  background: #1e2130;
+}
+.agent-node .node-icon {
+  width: 28px; height: 28px;
+  border-radius: 8px;
+  display: inline-flex; align-items: center; justify-content: center;
+  font-weight: 700; font-size: 13px; margin-bottom: 4px;
+}
+.skill-node .node-icon { background: rgba(91,95,237,0.2); color: #5B5FED; }
+.llm-node .node-icon { background: rgba(46,204,113,0.2); color: #2ecc71; }
+.mcp-node .node-icon { background: rgba(241,196,15,0.2); color: #f1c40f; }
+.io-node .node-icon { background: rgba(52,152,219,0.2); color: #3498db; }
+.io-node.output .node-icon { background: rgba(231,76,60,0.2); color: #e74c3c; }
+.node-label { font-weight: 600; color: #e0e0e0; margin: 2px 0; font-size: 13px; }
+.node-meta { color: #888; font-size: 11px; }
+.canvas-hint { color: #555; font-size: 12px; }
+
+.react-flow__controls button { background: #1a1d27; border-color: rgba(255,255,255,0.1); color: #ccc; }
+.react-flow__minimap { background: #1a1d27; }
diff --git a/frontend/src/pages/front/AgentCanvas.tsx b/frontend/src/pages/front/AgentCanvas.tsx
new file mode 100644
index 0000000..ba822e9
--- /dev/null
+++ b/frontend/src/pages/front/AgentCanvas.tsx
@@ -0,0 +1,176 @@
+import React, { useState, useCallback, useEffect, useMemo } from 'react';
+import ReactFlow, {
+  Node, Edge, Controls, Background, MiniMap,
+  useNodesState, useEdgesState, addEdge, Connection,
+  MarkerType, Panel, NodeTypes,
+} from 'reactflow';
+import 'reactflow/dist/style.css';
+import dagre from 'dagre';
+import './AgentCanvas.css';
+
+const nodeTypes: NodeTypes = {
+  skillNode: SkillNode,
+  llmNode: LLMNode,
+  mcpNode: MCPNode,
+  ioNode: IONode,
+};
+
+function SkillNode({ data }: any) {
+  return (
+    <div className="agent-node skill-node">
+      <div className="node-icon">S</div>
+      <div className="node-label">{data.label}</div>
+      <div className="node-meta">{data.desc}</div>
+    </div>
+  );
+}
+
+function LLMNode({ data }: any) {
+  return (
+    <div className="agent-node llm-node">
+      <div className="node-icon">AI</div>
+      <div className="node-label">{data.label}</div>
+      <div className="node-meta">{data.model || 'deepseek-v4-flash'}</div>
+    </div>
+  );
+}
+
+function MCPNode({ data }: any) {
+  return (
+    <div className="agent-node mcp-node">
+      <div className="node-icon">M</div>
+      <div className="node-label">{data.label}</div>
+      <div className="node-meta">{data.server}</div>
+    </div>
+  );
+}
+
+function IONode({ data }: any) {
+  return (
+    <div className={`agent-node io-node ${data.ioType}`}>
+      <div className="node-icon">{data.ioType === 'input' ? 'IN' : 'OUT'}</div>
+      <div className="node-label">{data.label}</div>
+    </div>
+  );
+}
+
+const defaultNodes: Node[] = [
+  { id: 'input-1', type: 'ioNode', position: { x: 100, y: 250 }, data: { label: '用户输入', ioType: 'input' } },
+  { id: 'llm-1', type: 'llmNode', position: { x: 350, y: 200 }, data: { label: '推理节点', model: 'deepseek-v4-flash' } },
+  { id: 'skill-1', type: 'skillNode', position: { x: 350, y: 400 }, data: { label: 'PPT生成', desc: '文本→PPTX' } },
+  { id: 'output-1', type: 'ioNode', position: { x: 600, y: 250 }, data: { label: '输出结果', ioType: 'output' } },
+];
+
+const defaultEdges: Edge[] = [
+  { id: 'e1-2', source: 'input-1', target: 'llm-1', animated: true, markerEnd: { type: MarkerType.ArrowClosed } },
+  { id: 'e1-3', source: 'input-1', target: 'skill-1', animated: true, markerEnd: { type: MarkerType.ArrowClosed } },
+  { id: 'e2-4', source: 'llm-1', target: 'output-1', markerEnd: { type: MarkerType.ArrowClosed } },
+  { id: 'e3-4', source: 'skill-1', target: 'output-1', markerEnd: { type: MarkerType.ArrowClosed } },
+];
+
+function layoutDagre(nodes: Node[], edges: Edge[]) {
+  const g = new dagre.graphlib.Graph();
+  g.setDefaultEdgeLabel(() => ({}));
+  g.setGraph({ rankdir: 'LR', nodesep: 80, ranksep: 120 });
+  nodes.forEach(n => g.setNode(n.id, { width: 160, height: 80 }));
+  edges.forEach(e => g.setEdge(e.source, e.target));
+  dagre.layout(g);
+  return nodes.map(n => {
+    const pos = g.node(n.id);
+    return { ...n, position: { x: pos.x - 80, y: pos.y - 40 } };
+  });
+}
+
+export default function AgentCanvas() {
+  const [nodes, setNodes, onNodesChange] = useNodesState(layoutDagre(defaultNodes, defaultEdges));
+  const [edges, setEdges, onEdgesChange] = useEdgesState(defaultEdges);
+  const [agentName, setAgentName] = useState('新智能体');
+  const [saved, setSaved] = useState(false);
+
+  const onConnect = useCallback((params: Connection) =>
+    setEdges(eds => addEdge({ ...params, animated: true, markerEnd: { type: MarkerType.ArrowClosed } }, eds)),
+    [setEdges]
+  );
+
+  const addNode = useCallback((type: string) => {
+    const id = `${type}-${Date.now()}`;
+    const labels: Record<string, any> = {
+      skillNode: { label: '新技能', desc: '技能描述' },
+      llmNode: { label: 'LLM节点', model: 'deepseek-v4-flash' },
+      mcpNode: { label: 'MCP工具', server: 'tool-server' },
+    };
+    const newNode: Node = {
+      id, type, position: { x: 300, y: 100 + nodes.length * 80 },
+      data: labels[type] || { label: id },
+    };
+    setNodes(nds => [...nds, newNode]);
+  }, [nodes.length, setNodes]);
+
+  const handleAutoLayout = useCallback(() => {
+    setNodes(nds => layoutDagre(nds, edges));
+  }, [edges, setNodes]);
+
+  const handleSave = useCallback(async () => {
+    const config = { name: agentName, nodes, edges, updatedAt: new Date().toISOString() };
+    try {
+      const token = localStorage.getItem('token');
+      await fetch('/app/api/agent/dags', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${token}` },
+        body: JSON.stringify(config),
+      });
+      setSaved(true);
+      setTimeout(() => setSaved(false), 2000);
+    } catch (e) {
+      console.error('Save failed', e);
+    }
+  }, [agentName, nodes, edges]);
+
+  const handleClear = useCallback(() => {
+    setNodes([]);
+    setEdges([]);
+  }, [setNodes, setEdges]);
+
+  return (
+    <div className="agent-canvas-page">
+      <div className="canvas-toolbar">
+        <input
+          className="agent-name-input"
+          value={agentName}
+          onChange={e => setAgentName(e.target.value)}
+          placeholder="智能体名称"
+        />
+        <div className="toolbar-actions">
+          <button className="tb-btn" onClick={() => addNode('skillNode')}>+ 技能</button>
+          <button className="tb-btn" onClick={() => addNode('llmNode')}>+ LLM</button>
+          <button className="tb-btn" onClick={() => addNode('mcpNode')}>+ MCP</button>
+          <button className="tb-btn secondary" onClick={handleAutoLayout}>自动布局</button>
+          <button className="tb-btn secondary" onClick={handleClear}>清空</button>
+          <button className="tb-btn primary" onClick={handleSave}>
+            {saved ? '已保存 ✓' : '保存配置'}
+          </button>
+        </div>
+      </div>
+      <div className="canvas-container">
+        <ReactFlow
+          nodes={nodes}
+          edges={edges}
+          onNodesChange={onNodesChange}
+          onEdgesChange={onEdgesChange}
+          onConnect={onConnect}
+          nodeTypes={nodeTypes}
+          fitView
+          snapToGrid
+          snapGrid={[20, 20]}
+        >
+          <Controls />
+          <Background gap={20} size={1} />
+          <MiniMap nodeStrokeWidth={3} pannable zoomable />
+          <Panel position="bottom-center">
+            <span className="canvas-hint">拖拽节点 · 连线编排 · 双击编辑标签</span>
+          </Panel>
+        </ReactFlow>
+      </div>
+    </div>
+  );
+}