MemoriLabs/Memori

  • 类型:github
  • 标识:MemoriLabs/Memori
  • 链接:https://github.com/MemoriLabs/Memori
  • 主题:agent, rag, engineering, llm-infra
  • 主分类:agent
  • 形态:app
  • 分类:ai
  • Stars:15680
  • 周增:+7
  • 语言:Python
  • 许可:NOASSERTION
  • 最近提交:2026-07-31
  • 简介:Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
  • 上次采集:2026-08-05
  • 首次采集:2026-07-10
  • 待LLM分类:否
  • 成熟度:production
  • 简介中文:Memori 是面向 Agent 的记忆基础设施。它是一个与 LLM 无关的中间层,可将 Agent 执行与对话转化为结构化、持久化的状态,用于生产系统。Memori 面向企业级场景,能够与现有数据基础设施协同工作,无需替换,并支持在托管云、单租户云、VPC 以及本地部署等多种环境中落地。
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