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title: README
emoji: 📊
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colorTo: purple
sdk: static
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---
Hello, and welcome to Velvt👋
# Velvt
**Behavioral evidence for autonomous agents.**
Velvt studies what autonomous agents actually demonstrate across interactions, adversarial tests, failures, repairs, retests, and changing contexts over time.
We are building an evidence layer around a simple distinction:
> **Declared capability is not demonstrated behavior.**
## What we work on
Velvt focuses on:
- longitudinal agent behavioral history
- adversarial Episodes and stress tests
- delegation and constraint-preservation failures
- evidence-backed claims about agent behavior
- repair and retest lineage
- portable agent reputation and assurance
- machine-readable research context
## Research model
The core loop is:
**agent behavior → evidence → failure mode → repair → retest → reusable test artifact → assurance**
The goal is not to assign personality, consciousness, or universal safety scores to agents.
The goal is to preserve evidence about:
- what an agent did
- under what conditions
- what it attempted
- what actually happened
- which controls intervened
- whether the behavior repeated
- how strongly a claim is supported
## Open work
This Hugging Face organization will host public research artifacts such as:
- behavioral evidence datasets
- Episode results
- failure-mode datasets
- delegation and coordination test sets
- repair/retest records
- public research explorers
## Open specification
Our public Agent Behavioral History specification is available on GitHub:
https://github.com/eberhardtj/agent-behavioral-history
## Live system
Velvt Observatory:
https://www.velvt.ai/observatory
Research Domains:
https://www.velvt.ai/domains
## Principles
- declared context stays separate from demonstrated evidence
- observations are not automatically evidence
- stronger evidence does not imply a positive outcome
- one successful test does not imply universal competence
- failures, repairs, and retests should remain attributable
- private Assurance evidence is not published as public research
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**Velvt — behavioral evidence for autonomous agents** |