http://www.heyuan110.com/tags/vector-search/Recent content in Vector Search on Bruce on AI EngineeringHugoenSat, 31 Jan 2026 08:20:18 +0800http://www.heyuan110.com/posts/ai/2026-01-31-openclaw-memory-strategy/Sat, 31 Jan 2026 08:20:18 +0800http://www.heyuan110.com/posts/ai/2026-01-31-openclaw-memory-strategy/<p><img src="http://www.heyuan110.com/posts/ai/2026-01-31-openclaw-memory-strategy/cover.webp" alt="OpenClaw memory strategy overview" loading="lazy" decoding="async" fetchpriority="low" width="1600" height="900" /> </p> <h2 id="why-memory-matters-for-ai-agents">Why Memory Matters for AI Agents<a href="#why-memory-matters-for-ai-agents" class="anchor" aria-hidden="true"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"> <path d="M15 7h3a5 5 0 0 1 5 5 5 5 0 0 1-5 5h-3m-6 0H6a5 5 0 0 1-5-5 5 5 0 0 1 5-5h3"></path> <line x1="8" y1="12" x2="16" y2="12"></line> </svg></a></h2> <p>Modern AI agents need more than conversation ability. Users expect agents to:</p> <ul> <li><strong>Remember who you are</strong> — your preferences, project context, and past interactions</li> <li><strong>Use that knowledge when it matters</strong> — without stuffing everything into the context window every turn</li> </ul> <p>Many chatbot platforms solve this by maintaining a long-term user profile and injecting it into the system prompt on every request. It works, but it wastes tokens and scales poorly.</p>