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title: README
emoji: 📊
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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**