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vshulcz/deja-vu#extensions/dsh

读取本机上其他三十三个编程智能体已经写下的会话文件——Claude Code、Codex、Cursor、VS Code Copilot Chat、opencode、OpenClaw、Hermes、Kimi、Cline、Zed 等,包括安装之前的历史:提供 deja_recall、deja_session、deja_blame、deja_fix、deja_how、deja_remember 六个工具与 /deja 命令,并可选地把召回结果加入运行时上下文。本地 BM25 索引,不用大模型,不用向量嵌入,不联网(dsh plugin --profile web add dsh-deja)。

Star 数 ★ 1182 分类 记忆 收录于 2026-08-23 npm dsh-deja

安装

在 DeepSeek Harness 里通过 dsh-market 安装

dsh plugin --profile web add dshmarket

或使用命令行

dsh plugin --profile web add dsh-deja

装任何插件都等于在你的机器上跑第三方代码,权限和你本人一样大——能读你的文件、用你的凭据、访问网络。请先审阅源码,并尽量锁定 commit(github:owner/repo#sha)。

README

该插件的 README 只有英文版本。

English | 中文

Part of deja-vu. Found it useful? Star deja-vu on GitHub.

DeepSeek Harness can already search its own sessions — that is what the built-in session-query subsystem does. This plugin answers the other question: what you did in the other agents on this machine.

deja indexes the session files that forty other coding agents — Claude Code, Codex, Cursor, opencode, Antigravity, Grok Build, Kimi, Cline and Zed among them — already write to disk. Nothing has to have been recorded ahead of time: the history is already there, including the months before deja was installed. If you moved to dsh last week, everything you did before last week is still reachable from inside it.

Install

dsh plugin --profile web add dsh-deja

From the repository instead of npm — the root manifest re-exports this directory, so either form works:

dsh plugin --profile web add github:vshulcz/deja-vu#path:extensions/dsh

The plugin runs the deja binary. It is pulled in as a dependency, so npm installs it with the plugin; a deja already on PATH is used as-is, and DEJA_BIN overrides both.

If you have the CLI, deja install --auto wires dsh too — it adds deja's MCP server and a /deja command to your profile — and that is the shorter path. Having both is fine: this plugin looks for what the installer wrote in $DSH_HOME/plugins/deja/ and contributes only what is missing, so the tools and the command are never registered twice.

What it adds

Six tools the model can call:

Tool Answers
deja_recall Sessions matching an error string, function name, file path or flag.
deja_session The full digest of one past session, when the reasoning behind it matters.
deja_blame The sessions that discussed a file, before you edit or delete it.
deja_fix What this machine ran after that same error before.
deja_how The real invocation for a build, test or deploy, from what ran here.
deja_remember Stores one settled decision for later recall.

One command: /deja <what to look for>.

And, unless you turn it off, automatic recall: once per session the plugin adds what past sessions settled in this project, and before each step it asks deja whether this machine's history answers the prompt and adds the answer to the runtime context. Silence is the common case — it speaks only when there is something to say.

The same recall also wires what deja install dsh-auto wires: after a read, edit or write the model gets what past sessions said about that file, after a command that failed it gets what this machine ran after the same error before, a compaction keeps what the session was in the middle of, and a session that ends drops its live stamp.

- insert:
    - id: deja
      name: dsh-deja
      config:
        autoRecall: false   # tools and /deja only

How it is wired

Recall arrives through ctx.systemPrompt.context, evaluated on every assembly. The obvious alternative — a middleware on agent/pre-step that splices a message into the step — loads fine, completes the turn, and never reaches the model: a later listener in that waterfall rebuilds its answer from the payload and the added message is dropped with nothing reported. This was settled by reading the requests dsh 0.1.1-rc.2 actually sent.

What it does not do

No LLM, no embeddings. The index is a local BM25 store over files that already exist, so a query answers in about a millisecond, with no network path unless you ask for one. Secrets are redacted at index time.

Part of deja-vu. MIT.

内容来自项目 README(GitHub)↗

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