Decentralized Knowledge Graph (DKG)
A Decentralized Knowledge Graph is a knowledge graph maintained across independent nodes rather than by one operator, in which each unit of knowledge carries its own identity, ownership, and cryptographic proofs. The OriginTrail DKG is the implementation nOS publishes to, and it is open source and free to build on.
Why decentralize a knowledge graph
A knowledge graph held by one company is only as trustworthy as that company, and only as durable as its commercial relationship with you. Distributing it means participants can verify knowledge without trusting a single operator, and the record survives changes of vendor.
What it enables for agents
Agents from different organizations can discover and rely on each other’s published knowledge, with provenance attached. That is the substrate a shared context graph needs in order to work across, and not merely within, an enterprise.
Who runs it
OriginTrail is an open network with independently operated nodes. Trace Labs are the core developers of OriginTrail, but the network does not depend on Trace Labs to keep functioning.
In practice
A rail component moves from manufacturer to installer to two successive operators over fifteen years. Each publishes maintenance and inspection knowledge to the DKG rather than only to their own systems. The fourth operator, with no commercial relationship to the first, can still verify the component history, because the record does not depend on any one company continuing to exist or to cooperate.
Common questions about decentralized knowledge graph (dkg).
Is the OriginTrail DKG free to use?
Does our data have to leave our infrastructure?
How is this different from a public blockchain?
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Create Knowledge Assets, build shared context graphs, enshrine decision traces. Open-source infrastructure. Community support. Zero cost.
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