Dataojitori/nocturne_memory
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.
This project offers a long-term memory server that helps AI agents remember who they are and their past experiences across different sessions and models. It takes in structured memory entries, which can be created or updated by the AI itself, and provides a persistent, graph-like knowledge base. This is for developers building and managing AI agents who want their creations to have a continuous, evolving identity rather than starting fresh with each interaction.
615 stars. Actively maintained with 60 commits in the last 30 days.
Use this if you are building an AI agent and want it to possess a persistent, evolving identity and context across different interactions and even different underlying large language models.
Not ideal if your AI's memory needs are limited to simple, short-term recall or basic document retrieval, as this system is designed for deeper, self-managed cognitive persistence.
Stars
615
Forks
79
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
60
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/Dataojitori/nocturne_memory"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related servers
doobidoo/mcp-memory-service
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude....
spences10/mcp-memory-libsql
🧠High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL....
gannonh/memento-mcp
Memento MCP: A Knowledge Graph Memory System for LLMs
mkreyman/mcp-memory-keeper
MCP server for persistent context management in AI coding assistants
mnemox-ai/tradememory-protocol
MCP server for AI trading memory — outcome-weighted cognitive memory with 10 tools, 399 tests.