Living Brain 把记忆从模型中拆出，任务成本可降 95%
Living Brain 把记忆从 ChatGPT、Claude 里拆出来做成共享层，换模型记忆不丢，token 少 22.6 倍、成本降 95%。
@livingbrain 将 AI 记忆做成独立层，模型只作为可替换的推理引擎，代理通过 MCP 或 API 接入。它不把全部历史发给模型，而是只检索与当前问题相关的少量记忆，让模型处理的 token 减少至多 22.6 倍，单任务成本因此最多降低 95%，端到端回答中位耗时 3.7 秒。ChatGPT 和 Claude 的记忆互相隔离，Living Brain 则提供一个两者及自有代理都能读写的共享存储。
Memory is becoming its own layer in the AI stack, separate from whichever model does the reasoning.
@livingbrain treats AI models as swappable engines and your accumulated context as the part that stays. Agents plug in through MCP or an API, so changing the model or agent framework leaves the memory intact.
Up to 95% lower cost per task. 3.7s median end-to-end answer.
Instead of sending the model your entire history every time, Living Brain picks only the few stored memories relevant to the current question and sends those, so the model processes far fewer tokens (up to 22.6x fewer), which is what cuts the cost per task by up to 95%.
ChatGPT and Claude each keep their own private memory of you, and neither can read the other’s. Living Brain moves that memory into a separate store that both tools, plus your own agents, can read and write.
