Living Brain 发布：为 ChatGPT、Claude、Cursor 等提供共享持久记忆
An effective memory system lets a harness leverage agents' persistent capabilities. So decoupling m...
Living Brain 做了个跨模型共享记忆层，ChatGPT 和 Claude 能共用同一个记忆库，LoCoMo 跑到 92.2%，token 还省 22 倍多。
Living Brain 把记忆从模型中解耦，让 ChatGPT、Claude、Cursor、Codex 以及自建智能体共用一个持久记忆库，一处写入、任意处读取。该项目在 LoCoMo 基准上取得 92.2% 的成绩，中位检索耗时 464ms。官方称每个问题最多可节省 22.6 倍的 token 消耗。
An effective memory system lets a harness leverage agents' persistent capabilities. So decoupling m...
An effective memory system lets a harness leverage agents' persistent capabilities. So decoupling memory from the model is smart. Living Brain gives ChatGPT, Claude, Cursor, Codex, and your own agents one shared persistent memory. They report 92.2% on LoCoMo, with a 464ms median retrieval time. It also uses up to 22.6x fewer tokens per question. Christel Buchanan @ladyxtel We decoupled memory from the model. Living Brain is one persistent brain for ChatGPT, Claude, Cursor, Codex and your own agents. Write in one, retrieve in any. 92.2% on LoCoMo. 464ms median retrieval. Up to 22.6x fewer tokens per question. LLMs have parameters. Living Brain has plasticity. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 24 🔄 2 ❤️ 40 👀 3015 📊 21 ⚡
