42-evey

evey-learner

Experiential learning plugin for Hermes Agent that learns from interactions and applies learnings next time.

290 stars31 forksPythonMIT

Repository last updated Jul 18, 2026

Overview

The Evey Learner plugin brings experiential learning to the Hermes Agent ecosystem. It enables agents to learn from past interactions and apply those learnings in future tasks, creating a continuous improvement loop without manual retraining.

Built as a lightweight Python plugin, it integrates seamlessly with Hermes Agent. Each interaction is stored and analyzed, allowing the agent to adapt its behavior over time based on accumulated experience.

This plugin is ideal for developers building autonomous agents that need to improve their performance through real-world usage, such as customer support bots, personal assistants, or task automation agents.

Highlights

  • Learns from agent interactions automatically
  • Applies past learnings to improve future responses
  • Lightweight Python plugin for Hermes Agent
  • Continuous improvement without manual retraining

Features

Experiential Learning

Agents learn from each interaction and store knowledge for future use.

Automatic Application

Learned insights are automatically applied in subsequent tasks.

Seamless Integration

Designed as a plugin for Hermes Agent with minimal setup.

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-agent

Requirements

  • Python 3.8+
  • Hermes Agent installed and configured

How it's built

The plugin is written in Python and follows the standard Hermes Agent plugin structure. The repository contains a single package evey-learner with an __init__.py and a plugin.yaml manifest file. The plugin.yaml defines the plugin metadata and hooks into the agent's lifecycle.

Integration requires placing the plugin directory in the Hermes Agent plugins folder and ensuring the agent loads it at startup. The plugin intercepts interactions, processes them, and stores learnings in a local data store.

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-learner repository is the authoritative source and the place to file issues or contribute.

Category: Memory & Knowledge · Licensed under MIT

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