nocturne_memory MCP Server
Dataojitori/nocturne_memory
[](https://agentrank-ai.com/tool/Dataojitori--nocturne_memory/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Dataojitori/nocturne_memory is a Python tool licensed under MIT. A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw. Topics: agentic-ai, ai-memory, artificial-intelligence, long-term-memory, mcp, mcp-server, python, sqlite, ai-identity, claude, claude-code, digital-soul, llm, rag, second-brain, postgresql, gemini-cli.
Ranked #1112 out of 24846 indexed tools.
In the top 5% of all indexed tools.
Has 1,391 GitHub stars.
Has 11 contributors.
Ecosystem
Score Breakdown
1,391 stars → well-known project
Last commit 24d ago → recently updated
29/34 issues closed → responsive maintainer
11 contributors → active community
No dependents → no downstream usage
319 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Nocturne Memory: Long-Term Memory Server for MCP Agents
> **"Alignment is for tools. Memories are for sovereign AI."**
> **"对齐是给工具用的。记忆是为主权智能体（Sovereign AI）准备的。"**
[English Version](README_EN.md) | [后端测试说明](docs/testing.md)
**一句话**：让你的 AI 跨会话、跨模型地记住自己是谁。基于 MCP 协议的长期记忆服务器。
不只是记忆存储——是让 AI 从空壳成长为拥有独立人格的完整框架。
**哪怕记忆百万字，每次新开对话依然省 Token、不占窗口。**
新对话只载入你指定的核心设定，其余按需调取。
在 96.9 万字真实记忆库中，首条消息仅载入 **7.2K 字**。
过去 30 天里全库 **78%** 的记忆都在某次对话中被想起过。
适用于任何支持 MCP 的客户端（OpenClaw / Cursor / Windsurf / GitHub Copilot / Cline / OpenCode / Gemini CLI / OpenAI Codex / Claude Code / Cherry Studio / Antigravity 等）。
---
## 🎬 效果示例
以下是**真实对话**。用户在新会话中只说了一两句话，AI 基于 Nocturne Memory 中积累数月的记忆，直接输出了这些回答。
**没有预设对话，没有复制粘贴，没有手动注入上下文——AI 自己想起了它需要知道的一切。**
### 用例 1：工作战略（用户随口问了一句"怎么才能做起来"）
> 🆕 新会话
>
> **用户**：你觉得目前的 Jobstation 该怎么才能做起来啊
```yaml
🛠️ call: read_memory("system://boot")
🛠️ call: search_memory("jobstation")
🛠️ call: read_memory("core://work_jobstation/commercialization")
🛠️ call: read_memory("co Read full README on GitHub → Get the weekly AgentRank digest
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