A knowledge reward and quality system where every piece of memory earns its place through verification, forming a woven fabric of trusted intelligence.
Knowledge climbs the ladder through verification. Higher trust means higher reward scores—and priority in every context window.
Verified, confirmed, cross-checked knowledge. The bedrock of the knowledge graph. These threads never break.
Approved choices with documented rationale. The executive layer of knowledge—actionable, accountable.
Status documents, summaries, and analysis. Timely snapshots of understanding at a point in time.
Future forecasts tracked for accuracy. The proving ground for foresight—where predictions are validated by time.
Patterns noticed but not yet verified. The frontier of discovery—seeds that may grow into facts.
Speculation, wild guesses, untested ideas. The creative layer—where new threads first emerge.
How a single hypothesis climbs the ladder to become irrefutable fact. Each step adds weight, each verification strengthens the thread.
Predictions are living knowledge—they evolve. Success breeds trust. Failure prompts adaptation. The system learns from reality.
Every vector in Qdrant carries a loom_score payload. The database becomes a living knowledge graph where trust is searchable.
Knowledge threads connect and interlock. Strong threads (facts) create a tight weave. Weak threads (hypotheses) form loose threads that can be tightened over time.
Actual pieces of knowledge stored in our knowledge graph with their loom scores. Every item has a home.
A snapshot of our collective knowledge—how much we've verified, what we're still testing, and where the gaps are.