Ross ROSS = Recommend OSS · open-source software intelligence for agents

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. observed · 2026-08-28

github.com/Dataojitori/nocturne_memory · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 96
  • Release rhythm 96
  • Longevity 17
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 4
  • age_days: 251
  • days_rel: 24
  • days_push: 24
  • n_releases_24m: 26

Full methodology

Adoption not part of the score

1333 stars · 166 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Nocturne Memory is a lightweight, rollbackable long-term memory server for MCP agents, storing persistent, graph-like structured memories in SQLite or PostgreSQL. It acts as a drop-in replacement for OpenClaw, letting AI assistants recall identity and context across sessions, models, and tools via the MCP protocol.

Use cases

  • give my AI agent persistent memory across chat sessions
  • remember user preferences and identity across different LLM models
  • replace vector RAG with structured long-term memory for agents
  • add a memory MCP server to Claude Code or Cursor
  • rollback an AI assistant's memory to a previous state
  • build a second-brain memory store for my coding assistant

When to choose

  • you use MCP-compatible clients (Claude Code, Cursor, Gemini CLI, etc.) and need cross-session memory
  • you want structured, graph-like memory instead of embedding-based vector RAG
  • you need a lightweight self-hosted memory backend with SQLite or PostgreSQL
  • you want memory rollback and visual inspection of agent memory

When to avoid

  • you need large-scale semantic search over massive document corpora, where vector databases fit better
  • you require a managed cloud service rather than self-hosting
  • your stack has no MCP support and you cannot add it

Facets

service · maturity active

database search-engine mcp rag chatbot artificial-intelligence large-language-models databases developer-tools python self-hosted cross-platform cli mcp-server long-term-memory ai-memory sqlite postgresql second-brain agent-memory persistent-memory graph-memory claude ai-agents

2 sources

Member repositories

RepositoryRoleHealth v2
Dataojitori/nocturne_memorymain80

For agents

markdown · JSON · MCP: product_card(name="Dataojitori/nocturne_memory")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem