Agent memory has gotten good at answering "what does the agent know?" Your agent can store that Alice lives in Berlin and retrieve it later. That part works. The harder question is when. When did Alice move to Berlin? Where did she live before? Did her job change
Your OpenClaw agents can now remember, learn, and build on past experience. We are shipping @minns/openclaw-minns (v0.7.2), a plug-and-play integration that connects OpenClaw to minns.ai and gives every agent persistent memory, learned strategies, and semantic search out of the box. npm install @minns/openclaw-minns Why This
We're excited to announce the release of minns-sdk (v0.4.4), a lightweight TypeScript SDK for minns.ai, the self-evolving agentic database that transforms discrete events into semantic graphs packed with memories, strategies, and claims. If you're building autonomous agents or LLM-powered applications, you've
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Most agent demos look competent for five minutes. Then you run them in a real product for a week, and they begin to fail. They forget what matters, repeat failed approaches, and behave differently from one session to the next. You can patch it with longer prompts and more retrieval,