Available now
graph-ted-db
A graph database that lives in a folder. Use it from Python or over HTTP, query with openCypher, share by syncing the folder.
Create, store, and explore connected knowledge, on your own machine or across a team. We’re building graph-ted in the open, starting with the piece that’s ready.
While building the full toolkit, we found the database was already useful on its own. graph-ted-db keeps a complete graph in a plain folder, with no server to run. Multiple devices can add and edit at the same time; concurrent edits to the same record resolve to the latest version. Tested end to end with OneDrive via rclone; Dropbox and other sync services are expected to work (how sharing works). So we’re releasing it early and letting real use shape what comes next.
It’s early. Expect rough edges and tell us about them.
Available now
A graph database that lives in a folder. Use it from Python or over HTTP, query with openCypher, share by syncing the folder.
Coming later
A workspace for building and exploring knowledge graphs, with AI that turns notes and conversations into connected knowledge.
Coming later
Shared graphs for teams that would rather not run their own.
Install, point it at a folder, and start building. No servers, accounts, or setup marathons.
Sketch a knowledge graph today and grow it into something real without starting over.
Plain APIs, predictable behavior, and docs written for both people and AI agents.