Name the matter
Capture the thing that matters enough to revisit: a goal, concern, risk, decision, or question.
A map for unsolved matters
Mapping matters and their dependencies, so we can use creativity to solve problems and see what can be unblocked next.
Sonophilia works to make creativity accessible beyond the arts: as a human capacity for solving problems in business, science, society, and everyday life. But problems are rarely isolated. One matter blocks another. A missing decision holds back a project. An unnamed risk prevents people from moving.
matters.global turns that complexity into a map. Each matter has clear conditions for when it counts as resolved, so people can see where creative problem-solving can unlock progress.
Capture the thing that matters enough to revisit: a goal, concern, risk, decision, or question.
Write down the observable conditions that would make it count as resolved.
Show which matters must resolve before other matters can resolve.
See the actionable matters whose blockers are already cleared.
matters.global is most useful through an AI agent. The command line stores and computes the graph; Codex or Claude helps you name matters, define conditions, discover dependencies, and decide what to work on next.
python3 -m pip install git+https://github.com/matthiasroder/matters.global.git
cd your-workspace
codex
# or open Claude Code in the same workspace
Help me turn this into matters:
publish the first walkthrough,
invite outside collaborators,
and keep private context private.
Look at my matters graph and tell me what is actionable now.
Extract candidate matters, conditions, and dependencies from these notes. Ask before saving.
Start messy. Tell the agent what you are trying to understand or move forward. It will propose matters, conditions, and dependencies, then ask before adding them to your map.
The project starts with a careful distinction: private state remains private, while selected public matters can be exported into a shared view. That makes it possible to coordinate around public problems without exposing personal or sensitive context.
Publish first public walkthrough
Invite outside collaborators to try it
Explain the core concepts with examples