Knowledge calibration

Your knowledge,
calibrated.

Most tools remember everything.
Cerbel knows what to trust.

Built on peer-reviewed research in temporal knowledge graphs, belief provenance, and agent memory architecture.

Prefers async written updates over calls

88%
stated directlyconfirmed 3 weeks ago

Every AI tool you've used has confidently told you something that was months out of date, or quietly contradicted itself between sessions, or based a recommendation on something you mentioned once in passing. Not because the model failed — because nothing in these systems tracks whether what they know is still true.

Cerbel does.

The belief ledger

Not a note. Not a memory.

A belief — with a source, a confidence score, and an expiry. Every piece of knowledge Cerbel holds is structured, tagged with where it came from, how confident you should be, and when it was last confirmed.

Prefers async written updates over calls

88%
stated directlyconfirmed 3 weeks ago

Confidence decay

Knowledge has a half-life.

Beliefs lose confidence over time if not reconfirmed. The system surfaces what's going stale before it misleads you. Cerbel tracks it.

"Uses Figma for all wireframes"

Week 1
92%
Week 4
78%
Week 8
61%
Week 12
45%
needs confirmation — confidence below threshold

Contradiction detection

When something changes, you'll know.

When new information conflicts with something already known, Cerbel flags both beliefs rather than silently overwriting either. Not three months later.

Prefers weekly sync calls

72%
stated directlyconfirmed 6 weeks ago
conflict — needs resolution

Switched to async updates — Feb 2026

91%
extracted from docconfirmed 2 days ago

The confidence drawer

Every answer shows its work.

Every AI response shows the beliefs it relied on — with their confidence levels, sources, and recency — so you can see exactly why Cerbel said what it said. And their expiry dates.

Based on what I know, Sarah prefers receiving async written updates and has budget approved through Q3. I'd recommend sending a written proposal rather than scheduling a call.

Prefers async updates

91%extracted from doc

Budget approved through Q3

84%stated directly

Uses Jira for tracking

52%inferredstale

Universal entity support

For anything you need to understand accurately over time.

clientresearchhealthprojectpersonworldbuilding

Research foundations

Cerbel's architecture is derived from published research in temporal knowledge graphs (Graphiti / Zep, 2025), belief confidence modeling (HINDSIGHT, 2025), and agent memory benchmarks (LongMemEval, AgeMem). It is the first consumer product to implement these findings as a usable interface.

What this means for you

  • Beliefs don't just accumulate — they decay correctly
  • Contradictions are detected, not silently overwritten
  • Confidence is derived from evidence, not guessed

Pricing

Simple, honest pricing

Free

$0/month

One entity, 25 beliefs, 10 chat messages per month. Enough to experience the product. Not enough to rely on it.

Start free
Most popular

Solo

$12/month

Ten entities, 500 beliefs, unlimited chat, document import. Everything a solo practitioner needs to keep their knowledge calibrated.

Start free trial

Pro

$24/month

Unlimited everything. Obsidian sync, knowledge graph traversal, conflict resolution workflow, entity health scores, and belief timelines. For people who take this seriously.

Start free trial

Lifetime — $199 one-time. Lock in Pro features permanently. Available for early supporters only.

Get lifetime access →

Start knowing what you know.

Free to start. No credit card required.

Create your first belief →