nocturne_memory — Visual Long-Term Memory MCP Server

Main

• Start with a narrow scope: store only what you can review, then expand write permissions once the workflow feels safe.

• Use the dashboard as the source of truth for audits: review diffs before integrating long-term changes.

• If you are on Windows and hit newline/CRLF issues, follow README guidance to switch the args to the wrapper script.

• Define a clear memory namespace convention (e.g., project vs user vs system) so agents don’t pollute shared state.

README (excerpt)

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 | 后端测试说明

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。

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）。

👁️ 一目了然

Source-backed notes

• README install path uses pip install -r backend/requirements.txt after cloning the repo.
• README shows adding an MCP config that runs python with args pointing to backend/mcp_server.py (and a wrapper variant for Windows).
• README states Node.js is used to build the dashboard on first start, and a dashboard UI is provided for management/audit.

FAQ

• Do I need Node.js?: README notes Node.js is used to build the dashboard on first start.
• How do I connect it to my client?: Point your MCP client config to run python with args to backend/mcp_server.py (per README).
• How do I keep it safe?: Start read-only where possible and review changes in the dashboard before integrating.

Memory Explorer — 树状浏览，所有记忆一目了然	Memory Detail — 实时编辑内容、元数据与触发条件
Review & Audit — 可视化 diff，一键接受或回滚	版本安全网 — AI 每次操作自动备份，清理需人类确认