WWKG Features
WWKG is not just another graph database. It is infrastructure for sovereign data — where every dataset you create is yours to control, share, version, and eventually monetize, without handing ownership to a platform or a middleman.
The features below are the building blocks that make this possible.
Branch your data like code
Isolate changes on a branch. Compare alternatives. Merge when ready. Roll back if not.
Encrypted like Signal
Your data is encrypted before it leaves your machine. Only workspace members hold the keys.
No single server
Run your own nodes. Work offline and sync later. Popular data replicates as people use it.
Three languages, one graph
One unified model for SPARQL, Cypher, and GQL. Any query language, any result format.
A graph that checks itself
Define rules once. Every query — in any language — includes inferred facts. Validation catches bad data.
AI-ready without a second stack
Graph-derived similarity search with no external vector database, no middleware, no stitching.
Built for AI agents
Most AI agent frameworks treat the knowledge layer as a retrieval problem — embed some documents, search by similarity, hope the context is good enough. WWKG gives agents something better: a structured world model they can query, reason over, and write to — with built-in guardrails.
Give an agent a scoped workspace with only the data its domain requires. The agent queries the graph for real relationships — not text fragments. It writes new knowledge to a branch, where it can create and experiment freely without touching production data. A human reviews the branch, sees exactly what the agent produced, and merges or discards — the same review workflow developers use for code, applied to data. Every agent action is a signed commit with full history.
The features on this page are not independent capabilities. Together, they form the infrastructure that makes this possible: encryption controls agent access, workspaces define agent scope, branching provides the sandbox, merge provides human oversight, and the audit trail is automatic.
Your data is yours
WWKG workspaces are sovereign data assets — encrypted, versioned, and controlled by you. Share what you choose, with whom you choose, on your terms. No platform lock-in. No middleman. When WWKG’s data economy launches, you will be able to earn from the data you publish — directly.
Where to start
If you are evaluating WWKG for broader fit, begin with Three Query Languages, then Branching and Merge Workflows, then End-to-End Encryption.
For hands-on usage, move into the Guides or the WWKG Documentation index.