ReMe
将 DeepSeek Harness 接入 ReMe 本地优先、自进化的个人知识库：自动把已完成的主 Agent 对话沉淀为用户掌控的 Markdown 记忆，通过 reme_search 结合 BM25、可选向量检索和 wikilink 展开搜索对话与资料，并按日整理长期记忆。
- 形态
- Plugin 插件
- 安装
- npm 包安装
- 需要密钥
- 是
- 近月下载
- 3,909
- 最近推送
- 今天更新
项目说明
From README
A local-first, self-evolving personal knowledge base for AI agents.Previous versions: 0.3.x · 0.2.x · MemoryScope ✨ Why ReMe?🧠 ReMe turns conversations and resources into readable, editable, searchable, and interconnected Markdown memory.
Agents such as QwenPaw and DeepSeek Harness can share the same workspace to retrieve, maintain, and evolve knowledge, while users retain control of the durable files.- Memory as File, File as Memory : ReMe stores durable memory as ordinary Markdown with frontmatter and wikilinks.
Users and agents can inspect, edit, move, sync, and back it up with familiar tools, while indexes and generated metadata remain rebuildable.
- Self-evolving knowledge base : ReMe progressively turns conversations and resources into daily notes and long-term knowledge, preserving sources while refining facts, preferences, procedures, and relationships over time.- Recall is
Original description
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
安装方式
npm 包安装 · 需要额外配置密钥
pip install "reme-ai[core]"git clone https://github.com/agentscope-ai/ReMe.gitpip install -e reme_studio -e ".[core]"为什么是这个分数
近 1 天仍在推送；README 给出了可直接复制的安装命令；运行前需要准备 API Key 或环境变量；3762 stars，社区使用面较广。
- 维护活跃
- 100
- 实用度
- 92
- 生态热度
- 79
- 上手便捷
- 74
- 信号质量
- 100
- 数据置信度
- 100%
相关插件
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One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
MemOS
MemTensor/MemOS
DeepSeek Harness 本地记忆插件：分层 L1/L2/L3 记忆，自动沉淀与手动 memos_* 检索工具并存，内置记忆浏览器。
memsearch
zilliztech/memsearch
供 DSH 与其他编程 Agent 共享的 Markdown 记忆，支持自动捕获、步骤前上下文注入、搜索召回，以及通过审阅面板实现 memory-to-skill 自进化。