neoloopy

neoloopy is a local-first tool for systems thinking. Map the forces in any system as a causal-loop diagram (CLD), then let neoloopy reveal the feedback loops driving its behavior.

Draw a variable, connect causes to effects, and mark whether each link pushes in the same direction (+) or the opposite (−). neoloopy continuously detects the closed feedback loops in your diagram and labels each one Reinforcing (R) or Balancing (B) — the heart of how systems grow, stall, and stabilize.

WHY NEOLOOPY • Find the loops automatically. Every reinforcing and balancing cycle is detected and badged as you draw — no manual bookkeeping. • Recognize the patterns. neoloopy surfaces classic system archetypes like Limits to Growth and Tragedy of the Commons when your structure matches them. • Read the dynamics. Mark delays on links, flag virtuous vs. vicious cycles, and see how much of your model actually sits inside feedback loops. • Learn as you go. A built-in systems-thinking glossary explains every term — causal link, polarity, delay, reinforcing/balancing — right where you need it. • Annotate richly. Write a note on any loop to capture what it means and why it matters.

LOCAL-FIRST BY DESIGN • No account required. Download and use everything offline, forever free. • Your models are plain Markdown files in a folder on your device — yours to keep, back up, and open in other tools. • Obsidian-compatible vault format. Your thinking is never locked in. • No ads, no tracking, no analytics inside the app.

QUALITATIVE, NOT A SPREADSHEET neoloopy is for reasoning about structure and direction — not numeric simulation. It helps you see how a system is wired and where its leverage is, the way systems thinkers actually map problems.

Optional cross-device Sync (in development) is end-to-end encrypted: your notes are encrypted on your device before they ever leave it, so we relay only ciphertext and cannot read your models.

Map a business, a habit, a team, an ecosystem, a policy — anything with moving parts that affect each other. Think in loops.