Cortex Memory: Give OpenClaw a 'Super Brain', Token Cost Slashed by 91%

If you've used OpenClaw before, you know the feeling all too well: once a conversation ends, all the API keys, technical decisions, and project background from previous chats seem to be wiped away by an eraser. This isn't a bug in OpenClaw—it's a common dilemma faced by all LLM Agents: limited context windows, and complete memory loss when the session ends. The common solution in the community is memory plugins like OpenViking, but have you ever wondered: Is there a solution that can remember more while also saving a huge amount of Token costs? The answer is a resounding yes. Cortex Memory has burst onto the scene, scoring the highest at 68.42% in the official LoCoMo benchmark (surpassing OpenViking's 52.08%), while reducing Token consumption by 11 times compared to OpenClaw+LanceDB, and improving score efficiency per thousand Tokens by 18 times . This isn't magic—it's the power of architecture. Let's take a closer look. Why Does OpenClaw Need "External Memory"? If you're a heavy user