1276 lines
36 KiB
HTML
1276 lines
36 KiB
HTML
<!doctype html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>DeerFlow Research Report 2026</title>
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<link rel="preconnect" href="https://fonts.googleapis.com" />
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
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<link
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href="https://fonts.googleapis.com/css2?family=Playfair+Display:ital,wght@0,400;0,600;0,700;1,400&family=JetBrains+Mono:wght@300;400;500&family=Inter:wght@300;400;500;600&display=swap"
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rel="stylesheet"
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/>
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<style>
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:root {
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--bg-primary: #0a0a0f;
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--bg-secondary: #12121a;
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--bg-tertiary: #1a1a25;
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--accent-primary: #00d4aa;
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--accent-secondary: #00a8e8;
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--accent-glow: rgba(0, 212, 170, 0.15);
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--text-primary: #ffffff;
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--text-secondary: #a0a0b0;
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--text-muted: #606070;
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--border-subtle: rgba(255, 255, 255, 0.08);
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--gradient-1: linear-gradient(135deg, #00d4aa 0%, #00a8e8 100%);
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--gradient-2: linear-gradient(
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180deg,
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transparent 0%,
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rgba(0, 212, 170, 0.03) 100%
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);
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}
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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html {
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scroll-behavior: smooth;
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}
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body {
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font-family: "Inter", sans-serif;
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background: var(--bg-primary);
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color: var(--text-primary);
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line-height: 1.6;
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overflow-x: hidden;
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}
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/* Background Effects */
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.bg-grid {
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position: fixed;
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top: 0;
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left: 0;
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width: 100%;
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height: 100%;
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background-image:
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linear-gradient(rgba(0, 212, 170, 0.03) 1px, transparent 1px),
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linear-gradient(90deg, rgba(0, 212, 170, 0.03) 1px, transparent 1px);
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background-size: 60px 60px;
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pointer-events: none;
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z-index: 0;
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}
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.bg-glow {
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position: fixed;
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width: 600px;
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height: 600px;
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border-radius: 50%;
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background: radial-gradient(
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circle,
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var(--accent-glow) 0%,
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transparent 70%
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);
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pointer-events: none;
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z-index: 0;
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animation: float 20s ease-in-out infinite;
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}
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.bg-glow:nth-child(1) {
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top: -200px;
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left: -200px;
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animation-delay: 0s;
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}
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.bg-glow:nth-child(2) {
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top: 50%;
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right: -300px;
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animation-delay: -7s;
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}
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.bg-glow:nth-child(3) {
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bottom: -200px;
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left: 30%;
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animation-delay: -14s;
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}
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@keyframes float {
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0%,
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100% {
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transform: translate(0, 0) scale(1);
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}
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33% {
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transform: translate(30px, -30px) scale(1.1);
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}
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66% {
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transform: translate(-20px, 20px) scale(0.95);
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}
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}
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/* Navigation */
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nav {
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position: fixed;
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top: 0;
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left: 0;
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right: 0;
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padding: 1.5rem 3rem;
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display: flex;
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justify-content: space-between;
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align-items: center;
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z-index: 1000;
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background: linear-gradient(
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180deg,
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var(--bg-primary) 0%,
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transparent 100%
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);
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backdrop-filter: blur(10px);
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}
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.logo {
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display: flex;
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align-items: center;
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gap: 0.75rem;
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font-family: "Playfair Display", serif;
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font-size: 1.5rem;
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font-weight: 600;
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color: var(--text-primary);
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text-decoration: none;
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}
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.logo-icon {
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width: 40px;
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height: 40px;
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background: var(--gradient-1);
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border-radius: 12px;
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display: flex;
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align-items: center;
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justify-content: center;
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font-size: 1.25rem;
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}
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.nav-links {
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display: flex;
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gap: 2.5rem;
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list-style: none;
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}
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.nav-links a {
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color: var(--text-secondary);
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text-decoration: none;
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font-size: 0.9rem;
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font-weight: 500;
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transition: color 0.3s ease;
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position: relative;
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}
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.nav-links a:hover {
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color: var(--accent-primary);
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}
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.nav-links a::after {
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content: "";
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position: absolute;
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bottom: -4px;
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left: 0;
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width: 0;
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height: 2px;
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background: var(--gradient-1);
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transition: width 0.3s ease;
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}
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.nav-links a:hover::after {
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width: 100%;
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}
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/* Main Content */
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main {
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position: relative;
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z-index: 1;
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}
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/* Hero Section */
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.hero {
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min-height: 100vh;
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display: flex;
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flex-direction: column;
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justify-content: center;
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padding: 8rem 3rem 4rem;
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position: relative;
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}
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.hero-badge {
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display: inline-flex;
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align-items: center;
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gap: 0.5rem;
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padding: 0.5rem 1rem;
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background: var(--bg-tertiary);
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border: 1px solid var(--border-subtle);
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border-radius: 100px;
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font-family: "JetBrains Mono", monospace;
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font-size: 0.75rem;
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color: var(--accent-primary);
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margin-bottom: 2rem;
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width: fit-content;
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}
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.hero-badge::before {
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content: "";
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width: 6px;
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height: 6px;
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background: var(--accent-primary);
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border-radius: 50%;
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animation: pulse 2s ease-in-out infinite;
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}
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@keyframes pulse {
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0%,
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100% {
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opacity: 1;
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}
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50% {
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opacity: 0.5;
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}
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}
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.hero h1 {
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font-family: "Playfair Display", serif;
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font-size: clamp(3rem, 8vw, 6rem);
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font-weight: 700;
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line-height: 1.1;
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margin-bottom: 1.5rem;
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background: linear-gradient(135deg, #ffffff 0%, #a0a0b0 100%);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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.hero h1 em {
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font-style: italic;
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background: var(--gradient-1);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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.hero-subtitle {
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font-size: 1.25rem;
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color: var(--text-secondary);
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max-width: 600px;
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margin-bottom: 3rem;
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line-height: 1.7;
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}
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.hero-stats {
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display: grid;
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grid-template-columns: repeat(4, 1fr);
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gap: 2rem;
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max-width: 800px;
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}
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.stat-item {
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padding: 1.5rem;
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background: var(--bg-secondary);
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border: 1px solid var(--border-subtle);
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border-radius: 16px;
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transition:
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transform 0.3s ease,
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border-color 0.3s ease;
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}
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.stat-item:hover {
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transform: translateY(-4px);
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border-color: var(--accent-primary);
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}
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.stat-value {
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font-family: "JetBrains Mono", monospace;
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font-size: 2rem;
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font-weight: 500;
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color: var(--accent-primary);
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margin-bottom: 0.25rem;
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}
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.stat-label {
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font-size: 0.8rem;
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color: var(--text-muted);
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text-transform: uppercase;
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letter-spacing: 0.1em;
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}
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/* Section Styles */
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section {
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padding: 6rem 3rem;
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max-width: 1200px;
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margin: 0 auto;
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}
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.section-header {
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margin-bottom: 4rem;
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}
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.section-tag {
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font-family: "JetBrains Mono", monospace;
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font-size: 0.75rem;
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color: var(--accent-secondary);
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text-transform: uppercase;
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letter-spacing: 0.2em;
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margin-bottom: 1rem;
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}
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.section-title {
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font-family: "Playfair Display", serif;
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font-size: clamp(2rem, 5vw, 3.5rem);
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font-weight: 600;
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margin-bottom: 1rem;
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}
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.section-desc {
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color: var(--text-secondary);
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font-size: 1.1rem;
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max-width: 600px;
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}
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/* Executive Summary */
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.summary-card {
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background: var(--bg-secondary);
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border: 1px solid var(--border-subtle);
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border-radius: 24px;
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padding: 3rem;
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position: relative;
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overflow: hidden;
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}
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.summary-card::before {
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content: "";
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position: absolute;
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top: 0;
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left: 0;
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right: 0;
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height: 1px;
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background: var(--gradient-1);
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}
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.summary-text {
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font-size: 1.25rem;
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line-height: 2;
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color: var(--text-secondary);
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}
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.summary-text strong {
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color: var(--text-primary);
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font-weight: 500;
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}
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/* Timeline */
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.timeline {
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position: relative;
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padding-left: 3rem;
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}
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.timeline::before {
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content: "";
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position: absolute;
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left: 0;
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top: 0;
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bottom: 0;
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width: 2px;
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background: linear-gradient(
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180deg,
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var(--accent-primary) 0%,
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var(--accent-secondary) 100%
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);
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}
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.timeline-item {
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position: relative;
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padding-bottom: 4rem;
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}
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.timeline-item:last-child {
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padding-bottom: 0;
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}
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.timeline-dot {
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position: absolute;
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left: -3rem;
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top: 0.5rem;
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width: 12px;
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height: 12px;
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background: var(--bg-primary);
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border: 3px solid var(--accent-primary);
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border-radius: 50%;
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transform: translateX(-5px);
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}
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.timeline-phase {
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font-family: "JetBrains Mono", monospace;
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font-size: 0.8rem;
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color: var(--accent-primary);
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margin-bottom: 0.5rem;
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}
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.timeline-date {
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font-size: 0.9rem;
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color: var(--text-muted);
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margin-bottom: 1rem;
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}
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.timeline-title {
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font-family: "Playfair Display", serif;
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font-size: 1.5rem;
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margin-bottom: 1rem;
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}
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.timeline-content {
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color: var(--text-secondary);
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line-height: 1.8;
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}
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/* Architecture Diagram */
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.architecture-container {
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background: var(--bg-secondary);
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border: 1px solid var(--border-subtle);
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border-radius: 24px;
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padding: 3rem;
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margin-top: 2rem;
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}
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.arch-flow {
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display: flex;
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flex-direction: column;
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gap: 1.5rem;
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align-items: center;
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}
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.arch-row {
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display: flex;
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gap: 1.5rem;
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justify-content: center;
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flex-wrap: wrap;
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}
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.arch-node {
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padding: 1.25rem 2rem;
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background: var(--bg-tertiary);
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border: 1px solid var(--border-subtle);
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border-radius: 12px;
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text-align: center;
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min-width: 160px;
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transition: all 0.3s ease;
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}
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.arch-node:hover {
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border-color: var(--accent-primary);
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box-shadow: 0 0 30px var(--accent-glow);
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}
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.arch-node.primary {
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background: var(--gradient-1);
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border: none;
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color: var(--bg-primary);
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font-weight: 600;
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}
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.arch-node-title {
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font-family: "JetBrains Mono", monospace;
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font-size: 0.85rem;
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font-weight: 500;
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}
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.arch-node-desc {
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font-size: 0.75rem;
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opacity: 0.8;
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margin-top: 0.25rem;
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}
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.arch-connector {
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width: 2px;
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height: 30px;
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background: linear-gradient(
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180deg,
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var(--accent-primary),
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var(--accent-secondary)
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);
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position: relative;
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}
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.arch-connector::after {
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content: "▼";
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position: absolute;
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bottom: -5px;
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left: 50%;
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transform: translateX(-50%);
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font-size: 0.6rem;
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color: var(--accent-secondary);
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}
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.arch-branch {
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display: flex;
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gap: 2rem;
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position: relative;
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}
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.arch-branch::before {
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content: "";
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position: absolute;
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top: -15px;
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left: 50%;
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transform: translateX(-50%);
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width: 60%;
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height: 2px;
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background: linear-gradient(
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90deg,
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transparent,
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var(--accent-primary),
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transparent
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);
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}
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|
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/* Features Grid */
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.features-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
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gap: 1.5rem;
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}
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|
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.feature-card {
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background: var(--bg-secondary);
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border: 1px solid var(--border-subtle);
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border-radius: 20px;
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padding: 2rem;
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transition: all 0.3s ease;
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}
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.feature-card:hover {
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transform: translateY(-4px);
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border-color: var(--accent-primary);
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}
|
|
|
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.feature-icon {
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width: 48px;
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height: 48px;
|
|
background: var(--bg-tertiary);
|
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border-radius: 12px;
|
|
display: flex;
|
|
align-items: center;
|
|
justify-content: center;
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|
font-size: 1.5rem;
|
|
margin-bottom: 1.5rem;
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|
}
|
|
|
|
.feature-title {
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font-family: "Playfair Display", serif;
|
|
font-size: 1.25rem;
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|
margin-bottom: 0.75rem;
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}
|
|
|
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.feature-desc {
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color: var(--text-secondary);
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font-size: 0.95rem;
|
|
line-height: 1.7;
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}
|
|
|
|
/* Comparison Table */
|
|
.comparison-table {
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width: 100%;
|
|
border-collapse: separate;
|
|
border-spacing: 0;
|
|
margin-top: 2rem;
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|
}
|
|
|
|
.comparison-table th,
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.comparison-table td {
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padding: 1.25rem 1.5rem;
|
|
text-align: left;
|
|
border-bottom: 1px solid var(--border-subtle);
|
|
}
|
|
|
|
.comparison-table th {
|
|
font-family: "JetBrains Mono", monospace;
|
|
font-size: 0.8rem;
|
|
font-weight: 500;
|
|
color: var(--text-muted);
|
|
text-transform: uppercase;
|
|
letter-spacing: 0.1em;
|
|
background: var(--bg-secondary);
|
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}
|
|
|
|
.comparison-table th:first-child {
|
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border-radius: 12px 0 0 0;
|
|
}
|
|
|
|
.comparison-table th:last-child {
|
|
border-radius: 0 12px 0 0;
|
|
}
|
|
|
|
.comparison-table tr:hover td {
|
|
background: var(--bg-secondary);
|
|
}
|
|
|
|
.comparison-table td {
|
|
color: var(--text-secondary);
|
|
}
|
|
|
|
.comparison-table td:first-child {
|
|
font-weight: 500;
|
|
color: var(--text-primary);
|
|
}
|
|
|
|
.check {
|
|
color: var(--accent-primary);
|
|
font-weight: 600;
|
|
}
|
|
|
|
.cross {
|
|
color: var(--text-muted);
|
|
}
|
|
|
|
/* Strengths/Weaknesses */
|
|
.swot-grid {
|
|
display: grid;
|
|
grid-template-columns: 1fr 1fr;
|
|
gap: 2rem;
|
|
}
|
|
|
|
.swot-card {
|
|
background: var(--bg-secondary);
|
|
border: 1px solid var(--border-subtle);
|
|
border-radius: 20px;
|
|
padding: 2.5rem;
|
|
}
|
|
|
|
.swot-card.strengths {
|
|
border-top: 3px solid var(--accent-primary);
|
|
}
|
|
|
|
.swot-card.weaknesses {
|
|
border-top: 3px solid var(--accent-secondary);
|
|
}
|
|
|
|
.swot-title {
|
|
font-family: "Playfair Display", serif;
|
|
font-size: 1.5rem;
|
|
margin-bottom: 1.5rem;
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 0.75rem;
|
|
}
|
|
|
|
.swot-list {
|
|
list-style: none;
|
|
}
|
|
|
|
.swot-list li {
|
|
padding: 0.75rem 0;
|
|
color: var(--text-secondary);
|
|
border-bottom: 1px solid var(--border-subtle);
|
|
display: flex;
|
|
align-items: flex-start;
|
|
gap: 0.75rem;
|
|
}
|
|
|
|
.swot-list li:last-child {
|
|
border-bottom: none;
|
|
}
|
|
|
|
.swot-list li::before {
|
|
content: "→";
|
|
color: var(--accent-primary);
|
|
font-weight: 600;
|
|
}
|
|
|
|
/* Footer */
|
|
footer {
|
|
padding: 4rem 3rem;
|
|
text-align: center;
|
|
border-top: 1px solid var(--border-subtle);
|
|
margin-top: 4rem;
|
|
}
|
|
|
|
.footer-text {
|
|
color: var(--text-muted);
|
|
font-size: 0.9rem;
|
|
}
|
|
|
|
/* DeerFlow Badge */
|
|
.deerflow-badge {
|
|
position: fixed;
|
|
bottom: 2rem;
|
|
right: 2rem;
|
|
padding: 0.75rem 1.25rem;
|
|
background: var(--bg-secondary);
|
|
border: 1px solid var(--border-subtle);
|
|
border-radius: 100px;
|
|
font-family: "JetBrains Mono", monospace;
|
|
font-size: 0.75rem;
|
|
color: var(--text-muted);
|
|
text-decoration: none;
|
|
backdrop-filter: blur(10px);
|
|
transition: all 0.3s ease;
|
|
z-index: 1000;
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 0.5rem;
|
|
}
|
|
|
|
.deerflow-badge:hover {
|
|
border-color: var(--accent-primary);
|
|
color: var(--accent-primary);
|
|
transform: translateY(-2px);
|
|
}
|
|
|
|
.deerflow-badge::before {
|
|
content: "✦";
|
|
color: var(--accent-primary);
|
|
}
|
|
|
|
/* Responsive */
|
|
@media (max-width: 768px) {
|
|
nav {
|
|
padding: 1rem 1.5rem;
|
|
}
|
|
|
|
.nav-links {
|
|
display: none;
|
|
}
|
|
|
|
.hero {
|
|
padding: 6rem 1.5rem 3rem;
|
|
}
|
|
|
|
.hero-stats {
|
|
grid-template-columns: repeat(2, 1fr);
|
|
}
|
|
|
|
section {
|
|
padding: 4rem 1.5rem;
|
|
}
|
|
|
|
.timeline {
|
|
padding-left: 2rem;
|
|
}
|
|
|
|
.swot-grid {
|
|
grid-template-columns: 1fr;
|
|
}
|
|
|
|
.arch-branch {
|
|
flex-direction: column;
|
|
}
|
|
|
|
.comparison-table {
|
|
font-size: 0.85rem;
|
|
}
|
|
|
|
.comparison-table th,
|
|
.comparison-table td {
|
|
padding: 1rem;
|
|
}
|
|
}
|
|
|
|
/* Scroll Animations */
|
|
.fade-in {
|
|
opacity: 0;
|
|
transform: translateY(30px);
|
|
transition:
|
|
opacity 0.8s ease,
|
|
transform 0.8s ease;
|
|
}
|
|
|
|
.fade-in.visible {
|
|
opacity: 1;
|
|
transform: translateY(0);
|
|
}
|
|
|
|
/* Code Block Style */
|
|
code {
|
|
font-family: "JetBrains Mono", monospace;
|
|
background: var(--bg-tertiary);
|
|
padding: 0.2rem 0.5rem;
|
|
border-radius: 4px;
|
|
font-size: 0.9em;
|
|
color: var(--accent-primary);
|
|
}
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<div class="bg-grid"></div>
|
|
<div class="bg-glow"></div>
|
|
<div class="bg-glow"></div>
|
|
<div class="bg-glow"></div>
|
|
|
|
<nav>
|
|
<a href="#" class="logo">
|
|
<div class="logo-icon">🦌</div>
|
|
DeerFlow Research
|
|
</a>
|
|
<ul class="nav-links">
|
|
<li><a href="#summary">Summary</a></li>
|
|
<li><a href="#timeline">Timeline</a></li>
|
|
<li><a href="#architecture">Architecture</a></li>
|
|
<li><a href="#features">Features</a></li>
|
|
<li><a href="#comparison">Comparison</a></li>
|
|
</ul>
|
|
</nav>
|
|
|
|
<main>
|
|
<section class="hero">
|
|
<div class="hero-badge">Research Report 2026</div>
|
|
<h1>DeerFlow:<br /><em>Multi-Agent Deep Research</em></h1>
|
|
<p class="hero-subtitle">
|
|
A comprehensive analysis of ByteDance's open-source framework that
|
|
combines language models with specialized tools for automated research
|
|
workflows.
|
|
</p>
|
|
<div class="hero-stats">
|
|
<div class="stat-item">
|
|
<div class="stat-value" data-count="19531">0</div>
|
|
<div class="stat-label">GitHub Stars</div>
|
|
</div>
|
|
<div class="stat-item">
|
|
<div class="stat-value" data-count="2452">0</div>
|
|
<div class="stat-label">Forks</div>
|
|
</div>
|
|
<div class="stat-item">
|
|
<div class="stat-value" data-count="88">0</div>
|
|
<div class="stat-label">Contributors</div>
|
|
</div>
|
|
<div class="stat-item">
|
|
<div class="stat-value">MIT</div>
|
|
<div class="stat-label">License</div>
|
|
</div>
|
|
</div>
|
|
</section>
|
|
|
|
<section id="summary">
|
|
<div class="section-header fade-in">
|
|
<div class="section-tag">01 / Overview</div>
|
|
<h2 class="section-title">Executive Summary</h2>
|
|
<p class="section-desc">
|
|
The framework that redefines automated research through intelligent
|
|
multi-agent orchestration.
|
|
</p>
|
|
</div>
|
|
<div class="summary-card fade-in">
|
|
<p class="summary-text">
|
|
<strong>DeerFlow</strong> (Deep Exploration and Efficient Research
|
|
Flow) is an open-source multi-agent research automation framework
|
|
developed by ByteDance and released under the MIT license in May
|
|
2025. The framework implements a
|
|
<strong>graph-based orchestration</strong> of specialized agents
|
|
that automate research pipelines end-to-end, combining language
|
|
models with tools like web search engines, crawlers, and Python
|
|
execution. <br /><br />
|
|
With <strong>19,531 stars</strong> and
|
|
<strong>2,452 forks</strong> on GitHub, DeerFlow has established
|
|
itself as a significant player in the deep research automation
|
|
space, offering both console and web UI options with support for
|
|
local LLM deployment and extensive tool integrations.
|
|
</p>
|
|
</div>
|
|
</section>
|
|
|
|
<section id="timeline">
|
|
<div class="section-header fade-in">
|
|
<div class="section-tag">02 / History</div>
|
|
<h2 class="section-title">Development Timeline</h2>
|
|
<p class="section-desc">
|
|
From initial release to the upcoming DeerFlow 2.0 transition.
|
|
</p>
|
|
</div>
|
|
<div class="timeline fade-in">
|
|
<div class="timeline-item">
|
|
<div class="timeline-dot"></div>
|
|
<div class="timeline-phase">Phase 01</div>
|
|
<div class="timeline-date">May — July 2025</div>
|
|
<h3 class="timeline-title">Project Inception</h3>
|
|
<p class="timeline-content">
|
|
DeerFlow was created by ByteDance and open-sourced on May 7, 2025.
|
|
The initial release established the core multi-agent architecture
|
|
built on LangGraph and LangChain frameworks, featuring specialized
|
|
agents: Coordinator, Planner, Researcher, Coder, and Reporter.
|
|
</p>
|
|
</div>
|
|
<div class="timeline-item">
|
|
<div class="timeline-dot"></div>
|
|
<div class="timeline-phase">Phase 02</div>
|
|
<div class="timeline-date">August — December 2025</div>
|
|
<h3 class="timeline-title">Feature Expansion</h3>
|
|
<p class="timeline-content">
|
|
Major feature additions including MCP integration, text-to-speech
|
|
capabilities, podcast generation, and support for multiple search
|
|
engines (Tavily, InfoQuest, Brave Search, DuckDuckGo, Arxiv). The
|
|
framework gained recognition for its human-in-the-loop
|
|
collaboration features and was integrated into Volcengine's FaaS
|
|
Application Center.
|
|
</p>
|
|
</div>
|
|
<div class="timeline-item">
|
|
<div class="timeline-dot"></div>
|
|
<div class="timeline-phase">Phase 03</div>
|
|
<div class="timeline-date">January 2026 — Present</div>
|
|
<h3 class="timeline-title">DeerFlow 2.0 Transition</h3>
|
|
<p class="timeline-content">
|
|
The project is transitioning to DeerFlow 2.0 with ongoing
|
|
improvements to JSON repair handling, MCP tool integration, and
|
|
fallback report generation. Now supports private knowledgebases
|
|
including RAGFlow, Qdrant, Milvus, and VikingDB, along with
|
|
comprehensive Docker deployment options.
|
|
</p>
|
|
</div>
|
|
</div>
|
|
</section>
|
|
|
|
<section id="architecture">
|
|
<div class="section-header fade-in">
|
|
<div class="section-tag">03 / System Design</div>
|
|
<h2 class="section-title">Multi-Agent Architecture</h2>
|
|
<p class="section-desc">
|
|
A modular system built on LangGraph enabling flexible state-based
|
|
workflows.
|
|
</p>
|
|
</div>
|
|
<div class="architecture-container fade-in">
|
|
<div class="arch-flow">
|
|
<div class="arch-node primary">
|
|
<div class="arch-node-title">Coordinator</div>
|
|
<div class="arch-node-desc">Entry point & workflow lifecycle</div>
|
|
</div>
|
|
<div class="arch-connector"></div>
|
|
<div class="arch-node primary">
|
|
<div class="arch-node-title">Planner</div>
|
|
<div class="arch-node-desc">Task decomposition & planning</div>
|
|
</div>
|
|
<div class="arch-connector"></div>
|
|
<div class="arch-branch">
|
|
<div class="arch-node">
|
|
<div class="arch-node-title">🔍 Researcher</div>
|
|
<div class="arch-node-desc">Web search & crawling</div>
|
|
</div>
|
|
<div class="arch-node">
|
|
<div class="arch-node-title">💻 Coder</div>
|
|
<div class="arch-node-desc">Python execution & analysis</div>
|
|
</div>
|
|
</div>
|
|
<div class="arch-connector"></div>
|
|
<div class="arch-node primary">
|
|
<div class="arch-node-title">Reporter</div>
|
|
<div class="arch-node-desc">Report generation & synthesis</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</section>
|
|
|
|
<section id="features">
|
|
<div class="section-header fade-in">
|
|
<div class="section-tag">04 / Capabilities</div>
|
|
<h2 class="section-title">Key Features</h2>
|
|
<p class="section-desc">
|
|
Comprehensive tooling for end-to-end research automation.
|
|
</p>
|
|
</div>
|
|
<div class="features-grid">
|
|
<div class="feature-card fade-in">
|
|
<div class="feature-icon">🔍</div>
|
|
<h3 class="feature-title">Multi-Engine Search</h3>
|
|
<p class="feature-desc">
|
|
Supports Tavily, InfoQuest (BytePlus), Brave Search, DuckDuckGo,
|
|
and Arxiv for scientific papers with configurable parameters.
|
|
</p>
|
|
</div>
|
|
<div class="feature-card fade-in">
|
|
<div class="feature-icon">🔗</div>
|
|
<h3 class="feature-title">MCP Integration</h3>
|
|
<p class="feature-desc">
|
|
Seamless integration with Model Context Protocol services for
|
|
private domain access, knowledge graphs, and web browsing.
|
|
</p>
|
|
</div>
|
|
<div class="feature-card fade-in">
|
|
<div class="feature-icon">📚</div>
|
|
<h3 class="feature-title">Private Knowledgebase</h3>
|
|
<p class="feature-desc">
|
|
Integrates with RAGFlow, Qdrant, Milvus, VikingDB, MOI, and Dify
|
|
for research on users' private documents.
|
|
</p>
|
|
</div>
|
|
<div class="feature-card fade-in">
|
|
<div class="feature-icon">🤝</div>
|
|
<h3 class="feature-title">Human-in-the-Loop</h3>
|
|
<p class="feature-desc">
|
|
Intelligent clarification mechanisms, plan review and editing, and
|
|
auto-acceptance options for streamlined workflows.
|
|
</p>
|
|
</div>
|
|
<div class="feature-card fade-in">
|
|
<div class="feature-icon">🎙️</div>
|
|
<h3 class="feature-title">Content Creation</h3>
|
|
<p class="feature-desc">
|
|
Podcast generation with TTS synthesis, PowerPoint creation, and
|
|
Notion-style block editing for report refinement.
|
|
</p>
|
|
</div>
|
|
<div class="feature-card fade-in">
|
|
<div class="feature-icon">🐳</div>
|
|
<h3 class="feature-title">Production Ready</h3>
|
|
<p class="feature-desc">
|
|
Docker and Docker Compose support, cloud deployment via
|
|
Volcengine, and comprehensive API documentation.
|
|
</p>
|
|
</div>
|
|
</div>
|
|
</section>
|
|
|
|
<section id="comparison">
|
|
<div class="section-header fade-in">
|
|
<div class="section-tag">05 / Analysis</div>
|
|
<h2 class="section-title">Competitive Comparison</h2>
|
|
<p class="section-desc">
|
|
How DeerFlow compares to other deep research solutions.
|
|
</p>
|
|
</div>
|
|
<div style="overflow-x: auto" class="fade-in">
|
|
<table class="comparison-table">
|
|
<thead>
|
|
<tr>
|
|
<th>Feature</th>
|
|
<th>DeerFlow</th>
|
|
<th>OpenAI Deep Research</th>
|
|
<th>LangChain OpenDeepResearch</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<td>Multi-Agent Architecture</td>
|
|
<td class="check">✓</td>
|
|
<td class="cross">✗</td>
|
|
<td class="check">✓</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Local LLM Support</td>
|
|
<td class="check">✓</td>
|
|
<td class="cross">✗</td>
|
|
<td class="check">✓</td>
|
|
</tr>
|
|
<tr>
|
|
<td>MCP Integration</td>
|
|
<td class="check">✓</td>
|
|
<td class="cross">✗</td>
|
|
<td class="cross">✗</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Code Execution</td>
|
|
<td class="check">✓ Python REPL</td>
|
|
<td class="cross">Limited</td>
|
|
<td class="check">✓</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Podcast Generation</td>
|
|
<td class="check">✓</td>
|
|
<td class="cross">✗</td>
|
|
<td class="cross">✗</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Presentation Creation</td>
|
|
<td class="check">✓</td>
|
|
<td class="cross">✗</td>
|
|
<td class="cross">✗</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Private Knowledgebase</td>
|
|
<td class="check">✓ (6+ options)</td>
|
|
<td class="cross">Limited</td>
|
|
<td class="cross">Limited</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Open Source</td>
|
|
<td class="check">✓ MIT</td>
|
|
<td class="cross">✗ Proprietary</td>
|
|
<td class="check">✓ Apache 2.0</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</section>
|
|
|
|
<section id="swot">
|
|
<div class="section-header fade-in">
|
|
<div class="section-tag">06 / Assessment</div>
|
|
<h2 class="section-title">Strengths & Considerations</h2>
|
|
<p class="section-desc">
|
|
Balanced evaluation of the framework's capabilities.
|
|
</p>
|
|
</div>
|
|
<div class="swot-grid fade-in">
|
|
<div class="swot-card strengths">
|
|
<h3 class="swot-title">💪 Strengths</h3>
|
|
<ul class="swot-list">
|
|
<li>
|
|
Comprehensive multi-agent architecture with specialized roles
|
|
</li>
|
|
<li>
|
|
Extensive tool integration across search, crawling, and
|
|
databases
|
|
</li>
|
|
<li>Local LLM deployment support for privacy and cost control</li>
|
|
<li>
|
|
Human collaboration features bridging automation and oversight
|
|
</li>
|
|
<li>Active community with 88+ contributors</li>
|
|
<li>Production-ready with Docker and cloud deployment options</li>
|
|
</ul>
|
|
</div>
|
|
<div class="swot-card weaknesses">
|
|
<h3 class="swot-title">⚠️ Considerations</h3>
|
|
<ul class="swot-list">
|
|
<li>
|
|
Extensive feature set may present learning curve for new users
|
|
</li>
|
|
<li>
|
|
Local deployment with multiple agents demands significant
|
|
resources
|
|
</li>
|
|
<li>
|
|
Advanced features require technical expertise beyond basic usage
|
|
</li>
|
|
<li>
|
|
Version 2.0 transition may create temporary compatibility
|
|
concerns
|
|
</li>
|
|
<li>Integration complexity for custom MCP tools and workflows</li>
|
|
</ul>
|
|
</div>
|
|
</div>
|
|
</section>
|
|
|
|
<section>
|
|
<div class="section-header fade-in">
|
|
<div class="section-tag">07 / Conclusion</div>
|
|
<h2 class="section-title">Final Assessment</h2>
|
|
<p class="section-desc">
|
|
High confidence evaluation based on comprehensive analysis.
|
|
</p>
|
|
</div>
|
|
<div class="summary-card fade-in">
|
|
<p class="summary-text">
|
|
DeerFlow represents a <strong>significant advancement</strong> in
|
|
research automation, combining the power of multi-agent
|
|
coordination, LLM-driven reasoning, and human-in-the-loop
|
|
collaboration. Its modular architecture, deep tool integrations, and
|
|
developer-friendly design make it a
|
|
<strong>compelling choice</strong> for researchers and organizations
|
|
seeking to accelerate complex workflows. <br /><br />
|
|
With <strong>ByteDance backing</strong>, an active open-source
|
|
community, and continuous feature development, DeerFlow is
|
|
well-positioned to remain a leading framework in the deep research
|
|
automation space. The upcoming DeerFlow 2.0 transition promises
|
|
further enhancements to an already robust platform.
|
|
</p>
|
|
</div>
|
|
</section>
|
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</main>
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<footer>
|
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<p class="footer-text">
|
|
Research Report compiled on February 1, 2026 · GitHub Deep Research
|
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</p>
|
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</footer>
|
|
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<a href="https://deerflow.tech" target="_blank" class="deerflow-badge"
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>Created By Deerflow</a
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