Overview
[Product intro] Human-like Memory is a long-term memory management tool built for AI agents. It targets accuracy and cost efficiency problems that traditional memory schemes hit as scale grows, by classifying and governing different memory types for more precise retrieval. [Features] Three-way memory governance: split information into semantic, episodic, and procedural memory to raise retrieval precision. Token cost optimization: layered loading cuts useless context injection and lowers run cost. Cross-platform fit: native support for OpenClaw and Hermes Agent frameworks plus a standard REST API. Enterprise security: data isolation and permission controls for production compliance.
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【产品介绍】 Human-like Memory 是一款专为 AI 智能体打造的长期记忆管理工具 产品致力于解决传统记忆方案在规模扩大后的准确率与成本效率问题 通过对不同类型的记忆进行分类治理来实现更精准的信息检索 【产品功能】 三类记忆分治：将信息划分为语义、情景与程序性记忆以提升检索精度 Token 消耗优化：通过分层加载技术减少无效上下文注入并降低运行成本 跨平台适配：原生支持 OpenClaw 与 Hermes Agent 框架并提供标准 REST API 企业级安全保障：提供数据隔离与权限控制功能以满足生产环境的合规需求