Open Knowledge 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
Preserve context
Claims should never travel alone. Evidence, counter-evidence, and history travel with them.
Record evolution
Rather than deleting outdated ideas, the protocol records how understanding changed over time.
Encourage challenge
Every claim remains open to structured disagreement. Challenge is progress, not failure.
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.
Human trust
Provenance, authors, evidence trails, and transparency make evaluation possible for future readers.
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.
Fact
"Earth orbits the Sun."
Empirical claims evaluated against verifiable observation and sources.
Prediction
"AI will automate a large share of routine software work by 2035."
Forward-looking claims that accrue evidence and confidence as time passes.
Normative
"Societies should regulate AI development."
Value-laden claims that require explicit assumptions and trade-off analysis.
Causal
"Remote work increases productivity."
Claims about cause and effect that demand mechanisms, not vibes.
Comparative
"Rust is safer than C++ for systems programming."
Relative claims that specify criteria, scope, and counterexamples.
Perspective / Experience
"I recovered from anxiety using therapy."
Situated accounts that remain valuable without being treated as universal proof.
Lifecycle
Publish a claim
A participant creates a Knowledge Object with an explicit statement and initial context.
Attach evidence
Supporting and opposing sources are linked—papers, datasets, eyewitness records, measurements, and more.
Challenge & refine
Rebuttals, corrections, elaborations, and competing interpretations become structured relations.
Version history
Updates supersede without erasing. Readers can inspect how the claim evolved.
Compose & reuse
Other objects cite, derive from, answer, or cluster around the claim in an open graph.
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.
Source: Open Knowledge Protocol whitepaper — Knowledge Object Protocol and Protocol Overview chapters.