No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Yinglianchun · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Serein safe to install? View the security audit →
Serein 让聊天里值得留下的东西，有地方保存，也有机会在下一次被想起。 Serein 是一个可自行部署、面向个人使用的 AI 记忆服务。它提供网页、聊天 API 网关和 MCP 工具，让不同聊天窗口读写同一份记忆。公开版从空库开始，不附带私人记忆或模型密钥。 功能 · 记忆怎么存 · Scene 与 Event · 怎么召回 · Hook 接入 · 召回格式 · 日记与暗房 · Arc／叙事卷 · 自动摘要 · 换窗 · 可选功能 · 论文 · 雨夜花园 · 安装 功能 可选功能按需开启；模型在“设置 → 模型”中添加，再到“配置”页选择各功能使用的模型。使用说明位于侧栏的 圆圈问号。 记忆怎么存 正文、原话与检索索引分开保存。 记忆可以被修改、归档和重新整理，原话仍用于核对当时究竟说了什么。 正文、版本和绑定关系等保存在 SQLite 主库；向量等派生索引另行保存，图片也有独立文件。备份整套实例时要一起保留，网页下载的数据库备份不等于完整安装目录。 Serein 只能读到已进入实例的资料。聊天客户端接上 MCP，并不意味着它的全部历史消息已经自动导入。 Scene 与 Event 两者都是记忆，但写下它们的时机和视角不同。 | 侧重点
| Stars | 50 |
| Forks | 17 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.4342456814099/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-07-18 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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Serein is 雨落下的地方，记忆会再次开花。可自部署的 AI 长期记忆与聊天网关。Self-hosted AI memory & chat gateway for long-term conversations.. It is categorized as a MCP Server with 50 GitHub stars.
Serein is primarily written in Python. It covers topics such as ai-gateway, ai-memory, llm-gateway.
You can find installation instructions and usage details in the Serein GitHub repository at github.com/Yinglianchun/Serein. The project has 50 stars and 17 forks, indicating an active community.
Serein is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Serein on Agent Skills Hub include preloop, claude-mem-lite, roampal-core. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: