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dsh-agentsoul

Memory Updated 2026.08.16

Run the following command in DeepSeek Harness:

dsh plugin install yuhui-sama/dsh-agentsoul

Paste the following prompt into your AI chat to install this plugin:

To install the plugin in DeepSeek Harness, run the command 'dsh plugin install yuhui-sama/dsh-agentsoul', with the full source code at https://github.com/yuhui-sama/dsh-agentsoul。

About this plugin

When building AI agents, a common pain point is the lack of persistent personality and memory: every session feels like a fresh start, with agents unable to maintain individuality, state, or long-term context, leading to fragmented interactions. The AgentSoul plugin, designed for DeepSeek Harness, injects a continuous "soul" into agents through localized personality, identity, state, and memory layers, solving issues of memory fragmentation and personality absence.

On core capabilities, AgentSoul supports four-layer personality files (SOUL, IDENTITY, USER, STATE), which are stably injected into system prompts for byte-level cache optimization; it also manages recent session memory and intelligently distills structured long-term memory (such as user attributes, events, and behavioral rules) to prevent memory overload. Additionally, the plugin provides management tools (like status viewing, memory search) for automatic global loading and fault isolation, ensuring that even if personality files are corrupted, the main process is not interrupted.

This plugin is ideal for developers, researchers, or AI product builders using DeepSeek Harness, especially those needing to construct personalized assistants, customer service agents, or long-term interaction scenarios. It enables AI agents to accumulate experience and maintain identity like humans, enhancing interaction coherence and naturalness, while local storage ensures privacy and performance.

Use Cases

  • Persistently save user preferences and interaction history in customer service AI
  • Build dialogue agents with continuous personality for research projects
  • Maintain agent state and long-term memory in automation tools

Best For

  • Programmers developing AI agents based on DeepSeek Harness
  • AI researchers requiring long-term memory capabilities
  • Product managers building personalized assistants