> ## Documentation Index
> Fetch the complete documentation index at: https://docs.qredence.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# autoresearch-dspy plugin

> Ratchet-style autonomous experiment loops built on DSPy 3.1.3, dspy.RLM, and confidence-aware classification scoring via the GEPA ConfidenceAdapter.

**autoresearch-dspy** implements a generalized AutoResearch ratchet loop using DSPy 3.1.3 and `dspy.RLM`. It applies Karpathy's autonomous experiment pattern — propose, execute, evaluate, keep or revert — generalized beyond ML to any optimizable system. Includes confidence-aware classification scoring via the GEPA `ConfidenceAdapter`.

## When to use

* Autonomous optimization loops
* Iterative experiments that keep only measured improvements
* RLM recursive context exploration
* Overnight system optimization
* The Karpathy Loop pattern
* Classification prompt optimization with confidence scoring

**Trigger phrases:** autoresearch, ratchet loop, experiment loop, optimize overnight, autonomous research, Karpathy loop, iterative optimization, self-improving code, experiment automation, confidence adapter, classification optimization.

## Core concept

The fundamental ratchet loop:

1. **Propose** a change.
2. **Execute** the experiment.
3. **Evaluate** against the chosen metric.
4. **Keep** if it measurably improves; otherwise **revert**.

Only measured improvements survive, so progress is monotonic by construction.

## Install

```bash theme={null}
gh skill install Qredence/qredence-plugins autoresearch-dspy
```

The plugin ships under `plugins/autoresearch-dspy/` with a single skill at `skills/autoresearch-dspy/SKILL.md` plus supporting scripts.