Introduction

When building AI agents, enabling an Agent to continuously evolve, retain memory across different sessions, and handle automated tasks are common challenges for developers. DeepSeek Harness (DSH) emphasizes “everything is a plugin,” extending core functionality through community contributions. The plugin introduced in this article aims to address the lack of self-iteration capabilities in agents by providing a closed-loop learning mechanism.

What It Is

This is a DeepSeek Harness skill plugin maintained by user satan9394. Inspired by NousResearch/hermes-agent (154k★), it aims to build a self-improving AI Agent system. Through code-level integration, the plugin attempts to enable autonomous skill creation, self-improvement, and cross-session context management for agents.

Core Features

According to the plugin description, its core capabilities include the following seven items:
* Closed-loop learning loop: Establishes a complete logic flow from execution to feedback and then to optimization.
* Self-creation and self-improvement of skills: Allows the Agent to dynamically generate or optimize its own skills at runtime.
* Cross-session recall: Maintains and retrieves memory across different conversation sessions.
* Honcho user modeling: Models user behavior.
* Cross-platform gateway: Provides cross-platform gateway capabilities.
* cron scheduling: Supports scheduled task scheduling.
* serverless hibernation: Supports hibernation mechanisms under Serverless deployment.

Installation and Enablement

Currently, the plugin does not provide a direct official installation command. To obtain it, visit its GitHub repository to review the source code and detailed instructions:

https://github.com/satan9394/dsh-self-improving-agent

Typical Usage

Because the documentation and examples are not yet available, there are no specific reproducible steps at this time. The plugin’s design logic relies on the combination of the core features mentioned above, and specific applications should be implemented by referring to the source code.

Use Cases and Notes

This plugin is suitable for complex Agent scenarios that require long-running operation, automated scheduling capabilities, and the pursuit of self-evolution.

Before use, please note the following:
1. The plugin runs with the permissions of the current DSH process.
2. Before installation, check the source code and license information, as the plugin’s License field currently shows null.
3. Existing materials indicate that the README fetch failed; it is recommended to review the source code directly to confirm compatibility and configuration requirements.

Summary

satan9394/dsh-self-improving-agent provides a framework aimed at building self-evolving agents. For more DSH plugins, refer to the Skill Directory.