dsh-zcode-workspace-memory：按工作区持久化的 Markdown 记忆
介绍社区插件 dsh-zcode-workspace-memory：在每个工作区 .dsh/memory/ 维护 MEMORY.md 索引与一事实一文件，主会话注入记忆规则与索引，支持模型 write/edit 写入与每轮成功后的后台 autoExtract，并提供只读浏览页。含安装命令、配置项、生效范围、与 ZCode 差异及使用注意。
Read Moredsh-memory: A Long-Term Workspace Memory Plugin for DeepSeek Harness
The dsh-memory plugin is designed to address memory management challenges in DeepSeek Harness by providing workspace-based long-term memory capabilities. Its core features include indexed briefings to reduce token consumption, relevant recall at the end of each turn, version-chain management, and automatic distillation. Users can perform operations such as saving and searching through the `memory` tool, and manage the memory store in the settings panel. Installation requires using a PowerShell script and ensuring configuration consistency. Data is stored locally by default, and a repository mirror mode can be enabled. The plugin is maintained by BangBang-03 and released under the MIT license.
Read MoreDeepSeek Harness Workspace Memory Plugin
The DeepSeek Harness plugin `dsh-workspace-memory` addresses context loss in multi-turn conversations by introducing workspace-isolated long-term memory. It supports memory sharing across multiple agents and provides retrieval, explicit memory writes, deletion, and historical version management. It automatically buffers and organizes memories without requiring a separate vector database deployment. After installation, agents can automatically retrieve relevant memories, while users can manage them explicitly via commands. The plugin is suitable for scenarios requiring fact reuse across sessions, but uninstalling it does not automatically delete the data, and manual cleanup is required.
Read MoreDeepSeek Harness Workspace Memory Plugin: Approval-Based Instructions and Project Memory Maintenance
The `dsh-workspace-memory` plugin addresses cross-session context sharing by maintaining two local files: `AGENTS.md` (behavioral rules) and `.dsh-memory.md` (project facts). It uses an interactive approval mechanism, writing changes only after user confirmation to keep the context stable and auditable. The plugin relies on standard Markdown storage, makes no network requests, and supports sharing across concurrent sessions. Installation requires specific DSH and Node.js versions. Its flexible configuration makes it suitable for users who need to manage long-term instructions and facts within a DeepSeek Harness workspace.
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