42-evey
evey-reflect
Self-correction loop that critiques agent outputs with a cheap model before sending.
Repository last updated Jul 18, 2026
Overview
Evey Reflect is a plugin for the Hermes Agent ecosystem that implements a self-correction loop. It automatically critiques the agent's outputs using a low-cost language model before the final response is delivered. This helps catch errors, improve accuracy, and reduce the need for expensive model calls.
The plugin is designed for developers building autonomous agents who want to add a lightweight quality assurance step. It integrates seamlessly with Hermes Agent, intercepting outputs and running them through a cheaper model for validation or refinement.
By using a less expensive model for critique, Evey Reflect balances cost and quality, making it suitable for production deployments where reliability and budget are both important.
Highlights
- Automatically critiques agent outputs before sending
- Uses a cheap model for cost-effective self-correction
- Improves output accuracy and reliability
- Integrates with Hermes Agent ecosystem
Features
Self-Correction Loop
Automatically critiques and refines agent outputs using a low-cost language model before final delivery.
Cost Optimization
Reduces reliance on expensive models by offloading quality checks to a cheaper alternative.
Seamless Integration
Works as a plugin within the Hermes Agent framework, requiring minimal configuration.
Installation
Commands are reproduced exactly as published by the project maintainers. Always check the upstream repository for the current instructions.
git clone https://github.com/42-evey/hermes-plugins.git
cp -r hermes-plugins/evey-* ~/.hermes/plugins/
cp hermes-plugins/evey_utils.py ~/.hermes/plugins/
# Restart hermes-agentRequirements
- Hermes Agent installed
- Python 3.8+
- Access to a cheap language model API (e.g., OpenAI GPT-3.5-turbo or similar)
How it's built
Evey Reflect is written in Python and distributed as an open-source plugin under the MIT license. It is designed to be used with the Hermes Agent ecosystem, intercepting the agent's output pipeline to apply a critique step.
The plugin likely hooks into the agent's response generation process, sending the output to a configured cheap model (e.g., a smaller or faster LLM) for evaluation. Based on the critique, the output may be modified or flagged before being returned to the user.
Repository structure is not detailed, but typical Hermes Agent plugins include a plugin.py entry point and configuration files. Integration requires adding the plugin to the agent's plugin list and specifying the critique model endpoint.
Source
This summary was written for Neura Market from the project's own repository. Install commands, identifiers and licence details are reproduced unchanged. The 42-evey/evey-reflect repository is the authoritative source and the place to file issues or contribute.
Category: Autonomy & Orchestration · Licensed under MIT