The DeepSeek Harness (DSH) plugin ecosystem emphasizes modularity. When conducting social network analysis or group behavior research, manually implementing a simulation engine can be costly. The dsh-social-simulation plugin provides an out-of-the-box social simulation framework.
Plugin Introduction¶
This plugin is maintained by satan9394 and belongs to the workflow category. It introduces social simulation capabilities into DSH, supports high-concurrency Agent interaction scenarios, and aims to address infrastructure challenges for large-scale group behavior simulation.
Core Features¶
The plugin includes the following core capabilities:
- Million-scale Agent social simulation: Supports large-scale concurrent Agent interactions.
- Twitter/Reddit style: Simulates the interaction interfaces and formats of mainstream social platforms.
- 23 action types: Defines the specific operation types that Agents can execute with each other.
- Interest/popularity recommendation: Can generate content based on interests and popularity.
- Information propagation, group polarization, and herd behavior research: Supports simulating and analyzing information diffusion, group polarization, and herd behavior.
Installation and Activation¶
The official documentation does not provide an installation command. Users need to configure it themselves by referring to the catalog page or the GitHub source code.
Typical Usage¶
No specific usage examples are provided in the documentation.
Notes¶
The plugin runs with the permissions of the current DSH process. Because no license is provided, inspect the source code before installation to ensure compliance with applicable usage requirements. It is suitable for developers and researchers who need to conduct large-scale social network research.
Summary¶
This tool provides foundational support for social network research. For related resources, visit the catalog page or the GitHub repository.