Glossary · Comparison

nOS vs. traditional systems of record

A system of record stores the state of business objects: accounts, orders, tickets, assets. nOS records the decisions made about those objects, with the reasoning that justified them, and enshrines the result so other parties can verify it. The two are complementary layers, not competing databases.

Traditional system of recordnOS
Unit of recordObjects and their current stateDecisions and the reasoning behind them
AnswersWhat is true nowWhy this was allowed, and on what basis
BoundaryOne organization, one vendorMulti-party by design
Ownership of the recordThe vendor platformThe organization, via an open knowledge graph
Value to AI agentsData to readPrecedent to inherit
On vendor exitMigration project, history usually degradesRecords remain, held independently

What systems of record were built for

Salesforce, SAP, ServiceNow and their peers solved a genuine problem: giving an organization one authoritative version of its objects. They were designed when the expensive thing was keeping state consistent, and they do that well. The reasoning that turned data into action was never their job, so it was left to people and, increasingly, is left to models.

Where the gap shows up

Ask any organization why a particular exception was approved last quarter and the answer lives in someone’s memory, a Slack thread, or a call that was never recorded. Deploy agents on top of that and they inherit the same blind spot: they can read the state but cannot see the judgement that produced it, so they cannot reuse it.

Why this is not a replacement

nOS does not store your accounts or your inventory, and it does not ask you to migrate. It connects to the systems already running and records the decision layer they omit. Framing it as a replacement misses the point: the object record and the decision record answer different questions and both are needed.

FAQ

Questions.

Do we have to replace our CRM or ERP?
No. nOS connects to the systems you already run. It records the decisions made around them rather than duplicating the objects they hold.
Where does the data actually live?
Private context stays in your infrastructure. What is enshrined in the OriginTrail DKG is what you choose to publish, typically the commitments and metadata that make a decision verifiable.
What happens if we stop using nOS?
The decision records remain, because they are held in an open decentralized knowledge graph rather than in a Trace Labs database. You can self-host and continue without data loss.
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