Introducing the dsh-evolve Plugin for DeepSeek Harness
The DeepSeek Harness plugin dsh-evolve is designed to address agent forgetting and memory redundancy by providing self-evolving memory and skill lifecycle management. Its core features include cross-session memory recall using a zero-token deterministic algorithm, data reliability through tiered approval mechanisms, knowledge consolidation via reinforcement learning, and distillation of high-value content into SKILL files. The plugin supports background auto-review, deduplication and bloat prevention, and visual configuration. All data is stored locally and remains reversible. Installation requires Node.js >= 22.5.0 and Harness >= 0.1.0-rc.7.
Read Moredsh-evolve: DeepSeek Harness Local Execution Experience Plugin
dsh-evolve is a plugin that runs within the DeepSeek Harness process, aimed at addressing recurring Agent failures and the lack of locally retained experience. It uses deterministic signals to identify errors and non-progressing trajectories, and provides core capabilities such as record retention, local distillation, background mining, and retrieval filtering. Users can enable the plugin through simple installation and configuration to optimize Agent execution strategies. It is released under the MIT License and features robust data security and permission boundary controls.
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