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dsh-migrate

记忆 更新于 2026.08.25

在终端中运行以下命令:

dsh plugin install kkkkkkkkki/dsh-migrate

将以下提示词粘贴到 DeepSeek Harness 对话框中:

在终端执行 dsh plugin install kkkkkkkkki/dsh-migrate 完成安装,插件开源地址为 https://github.com/kkkkkkkkki/dsh-migrate 。

插件介绍

Switching AI coding agents rarely fails because of the new tool—it fails because of everything the old tool left behind: months of conversation transcripts, memory files, tool-call logs scattered across a dozen config directories. dsh-migrate is built to close that gap. It reads the on-disk artifacts left by Claude Code, Codex CLI, Gemini CLI, Cursor, Kimi CLI, ChatGPT Web exports, Cline / Roo Code, OpenCode, Aider, Hermes Agent, and OpenClaw, then writes them as native DeepSeek Harness JSONL session logs. Imported sessions show up in the sidebar grouped by project, render their full event stream in the Trajectory view, and can be fork-style resumed as if DSH had recorded them from the start.

Two workflows are provided: a /migrate slash command that runs inside DSH itself, and a standalone CLI that scans the whole machine, previews everything with a dry run, and only writes after you confirm. Every adapter is intentionally tolerant—malformed lines and unknown row types are skipped rather than fatal, missing fields degrade gracefully (an unknown model is still imported, an unknown working directory lands in a _no-cwd project), and source agent directories are always opened read-only. Writes use append-only semantics with fresh session IDs, so an import can never shadow a live session, and original timestamps and provider / model metadata are preserved for provenance.

If you are moving to DeepSeek Harness and do not want to start from a blank context, dsh-migrate is the bridge. One scan collects your conversation history and memory notes from up to eleven upstream agents and turns them into a searchable, inspectable, resumable archive that plugs directly into the DSH session store.

使用场景

  • 从 Claude Code 或 Codex CLI 切换到 DeepSeek Harness 后,希望完整保留之前的对话上下文和工具调用记录。
  • 团队成员使用不同 Agent,需要在一个统一视图中查看和管理所有历史会话。
  • 想通过 Trajectory 视图回溯其他 Agent 的推理链路和工具调用细节。

适合人员

  • 正在从其他 AI 编码助手迁移到 DeepSeek Harness 的开发者。
  • 需要跨 Agent 统一管理会话历史和记忆文件的工程师。
  • 注重上下文完整性和可追溯性的 AI 工作流使用者。