Skip to content
Protocol

Knowledge Objects

Knowledge does not exist as isolated opinions. It emerges from claims, evidence, challenges, revisions, and consensus over time.

Why posts are not enough

Traditional social platforms treat information as ephemeral content—a tweet, a post, a reel, a video. Once published, content primarily accumulates reactions.

The platform records popularity rather than intellectual evolution. A post that is later disproven often continues circulating independently of the corrections that followed. Comments containing corrections are buried beneath reactions, making misinformation durable and context fragile.

Future readers encounter a claim without its strongest rebuttal. The structure required for collective reasoning is missing.

What a Knowledge Object is

The Knowledge Object Protocol introduces a different abstraction. Instead of immutable social content, every claim becomes a living, versioned, interconnected unit of collective reasoning.

A Knowledge Object (KO) is the smallest addressable unit within the Open Knowledge Protocol. It represents a structured statement that can evolve through evidence, rebuttal, community evaluation, and revision.

Unlike a media post defined solely by what someone said, a Knowledge Object is defined by the complete context surrounding the claim: supporting and opposing arguments, revisions, historical versions, citations, AI-assisted summaries, reputation signals, and links to related objects.

A Knowledge Object becomes part of a permanent public knowledge graph. Understanding is recorded as it changes—not overwritten and forgotten.

Design goals

Goal 1

Preserve context

Claims should never travel alone. Evidence, counter-evidence, and history travel with them.
Goal 2

Record evolution

Rather than deleting outdated ideas, the protocol records how understanding changed over time.
Goal 3

Encourage challenge

Every claim remains open to structured disagreement. Challenge is progress, not failure.
Goal 4

Machine-readable structure

Unlike free-form documents alone, Knowledge Objects are structured so AI systems can retrieve, summarize, and compare debates without becoming the final authority.
Goal 5

Human trust

Provenance, authors, evidence trails, and transparency make evaluation possible for future readers.
Goal 6

Composability

Objects are reusable. New work references existing Knowledge Objects instead of fragmenting the commons.

Anatomy of a Knowledge Object

Identifier

A stable address (for example ko:…) so objects can be cited and linked.

Claim

The structured statement under examination—fact, prediction, opinion, or question.

Authorship

Who created or revised it, with portable identity where available.

Timestamps

When it was created and when versions changed.

Evidence

Supporting and opposing sources attached as first-class relations.

Rebuttals

Structured challenges and competing interpretations.

Provenance

Why it changed, what was superseded, and what remains contested.

Links

Semantic relationships to related Knowledge Objects, datasets, and discussions.

Types of claims

Not all claims are equal. Different types invite different evidence rules and evaluation patterns.

"Earth orbits the Sun."

Fact

Empirical claims evaluated against verifiable observation and sources.
"AI will automate a large share of routine software work by 2035."

Prediction

Forward-looking claims that accrue evidence and confidence as time passes.
"Societies should regulate AI development."

Normative

Value-laden claims that require explicit assumptions and trade-off analysis.
"Remote work increases productivity."

Causal

Claims about cause and effect that demand mechanisms, not vibes.
"Rust is safer than C++ for systems programming."

Comparative

Relative claims that specify criteria, scope, and counterexamples.
"I recovered from anxiety using therapy."

Perspective / Experience

Situated accounts that remain valuable without being treated as universal proof.

Lifecycle

Step 1

Publish a claim

A participant creates a Knowledge Object with an explicit statement and initial context.
Step 2

Attach evidence

Supporting and opposing sources are linked—papers, datasets, eyewitness records, measurements, and more.
Step 3

Challenge & refine

Rebuttals, corrections, elaborations, and competing interpretations become structured relations.
Step 4

Version history

Updates supersede without erasing. Readers can inspect how the claim evolved.
Step 5

Compose & reuse

Other objects cite, derive from, answer, or cluster around the claim in an open graph.
Step 6

Continuous enrichment

Community evaluation, AI-assisted summaries, and new evidence keep the object living.

Why Knowledge Objects matter

Major platforms optimize for attention. Knowledge Objects optimize for durable understanding.

They turn debates into addressable infrastructure—usable by readers, researchers, journalists, enterprises, and applications like 8 Minutes Club—without locking knowledge inside any one feed.

In the Open Knowledge Protocol stack, Knowledge Objects are the primitive. Claims, questions, hypotheses, observations, evidence, rebuttals, and summaries become composable building blocks of collective reasoning.