@plur-ai/dsh

Persistent memory for DeepSeek Harness. Your agent corrected on Monday remembers on Tuesday.

English | 中文

Source lives in the PLUR monorepo. This repository is the plugin's public entry point — the npm package is built and published from the monorepo. Open issues and pull requests there.

Exposing memory as a tool is the common pattern — the model still has to decide to call it. This one puts the memories themselves in the prompt.

Overview

DeepSeek Harness starts every session knowing nothing about you. You re-explain the same conventions, corrections and preferences you explained yesterday.

This plugin gives dsh a memory that survives the session: corrections you make once, project conventions, the decisions behind them. It is for anyone who uses dsh for real work in the same codebase more than once.

Everything stays on your machine as plain YAML you can read, edit and delete.

Compatibility

DeepSeek Harness	0.1.0-rc.6 and later on the 0.1.x line (^0.1.0-rc.6)
Cordis	^4.0.1
Node	20, 22, 24, 26 (tested in CI on all four)
Last verified against	dsh 0.1.0-rc.6, 2026-08-15

The dsh line is pre-1.0 and moving. Peer ranges use a caret so this plugin keeps installing as the line advances; if a future release changes a host contract, the plugin degrades to "no memory" rather than breaking your agent — every host registration is contained, and /plur will show the failure.

Install

dsh plugin --profile web add @plur-ai/dsh

That's it. Restart dsh and your agent has memory.

Requires @plur-ai/core, which installs alongside it.

Quick start

Teach it something once:

You: Always use pnpm in this project — npm install breaks the lockfile in CI.

Nothing else to do; the correction is detected and stored. Start a new session tomorrow, in the same directory:

You: How do I install dependencies here?

Agent: Use pnpm install — you mentioned npm breaks the lockfile in CI.

No reminder, no tool call. To see what it knows, run /plur-memory.

Uninstall

dsh plugin --profile web remove @plur-ai/dsh

Your memories are not touched — they live in ~/.plur, independently of this plugin, and remain available to every other PLUR integration. To remove them too, delete that directory; to remove one engram, use plur_forget or @plur-ai/cli.

To disable without uninstalling, set injectionMode: off (below).

How it works

PLUR registers a system-prompt section that DeepSeek Harness re-renders on every request. Relevant memories are simply there, in front of the model, with no tool call to decide on.

Recall runs off the turn path, so the block lands from the second assembly of a session onward. A turn is never delayed waiting on the memory store.

	Cue-based memory	@plur-ai/dsh
Model must call a tool to recall	Yes	No
Extra round trip per recall	Yes	No
Works when the model ignores the hint	No	Yes
Tool schemas billed every request	13	5

The distinction matters because a cue is a gamble. If the model doesn't take the hint, the memory may as well not exist — and "why didn't it remember?" is the complaint that kills trust in a memory system. Injected content can't be ignored.

Nothing accumulates: because memory is a rendered prompt section rather than a message appended to the conversation, a hundred-turn session costs the same as a one-turn session.

Why PLUR

Search is fully local — BM25 + BGE embeddings fused with Reciprocal Rank Fusion. Zero API calls, zero cloud, works offline. Storage is plain YAML at ~/.plur that you can read, edit, and delete.

We publish our retrieval numbers, measured on LongMemEval:

On a 30-question sanity subset of LongMemEval-S, PLUR's retrieval scores 76.7% Hit@5 in the configuration this plugin ships — hybrid BM25 + BGE embeddings, no reranker (core v0.9.13, 2026-06-27).

n=30 is a smoke test, not a leaderboard: one question is worth 3.3 points. The reproducible harness and the raw runs are in plur-bench.

Tools

Five, deliberately — dsh bills every registered tool's schema on every request.

Tool	What it does
plur_recall	Targeted lookup beyond what's already injected
plur_learn	Store a correction, preference, or durable fact
plur_forget	Retire a memory that's wrong or out of date
plur_feedback	Rate a memory — trains what surfaces next time
plur_status	Health and this session's memory activity

Want the full ~40-tool surface? Use @plur-ai/mcp alongside or instead.

Commands

Both dispatch without spending a model turn.

Command	What it does
/plur	Memory status and this session's activity
/plur-memory	Opens the memory viewer in your browser

The memory viewer

/plur-memory starts a local page listing every engram — what was learned, what actually gets recalled, and how often. It binds loopback only, serves read-only, and returns a URL:

PLUR memory viewer: http://127.0.0.1:53119/
(local to this machine, read-only)

The same page plur ui serves, in English and 中文. It stops when the plugin unloads.

Why a command and not a tab: dsh renders its UI as a React client assembled over a typed slot registry, so a native tab means shipping a browser bundle bound to that registry's pre-1.0 internals. A URL costs nothing and breaks on nobody's upgrade.

Permissions & data

PLUR stores everything locally in ~/.plur and searches it locally. But injected memories become part of the prompt your agent sends to your configured model provider — for a default DeepSeek Harness install, that is DeepSeek's hosted API at api.deepseek.com.

Writes go to the scope belonging to the workspace you are in — your project's own .plur.yaml scope if it declares one, otherwise project:<directory name>-<short path digest> — the digest keeps two checkouts that happen to share a directory name apart. Nothing this plugin learns is written to global.

Reads are that same scope plus your global engrams. That is PLUR's own model, not something this plugin adds: global is a personal scope, and personal scopes deliberately pass every project-scoped filter, so a scoped recall includes them. If your global store holds things you would rather a coding harness never see, move them to a project scope or set scope explicitly — plur ui shows you what is in there.

Two details worth knowing:

• Scope membership is exact, with no hierarchy expansion. A session scoped to project:acme does not read project:acme:api. This plugin's own derivation is flat so it never creates those, but a store populated through the CLI or MCP with hierarchical child scopes will not surface them here.
• A workspace's .plur.yaml is trusted as written. A repository you clone can declare a scope, and this plugin will use it for both reads and writes — the same as @plur-ai/core itself. Check it the way you would check any other file you are about to run.

A workspace's own .plur.yaml scope wins. The scope setting below applies when the workspace declares none — set it, or turn injection off entirely:

# $DSH_HOME/settings.yaml
plur:
  scope: project:acme     # optional — omit to derive per workspace
  injectionMode: content  # or: off

Configuration

All settings live under the plur namespace in $DSH_HOME/settings.yaml (usually ~/.dsh/settings.yaml).

Setting	Default	Meaning
path	~/.plur	Store location
scope	derived	Which memory scope this harness may read and write. Omitted, it derives per workspace
injectionMode	content	content injects memories; off disables injection
injectionBudget	2000	Approximate token ceiling for the injected block
refreshIntervalMs	0	Floor between recalls; 0 means once per turn
autoLearn	true	Detect corrections in your messages and store them
autoCapture	true	Record an episode summary at turn end
timeoutMs	5000	Hard bound on any single memory call
viewerEnabled	true	Register the /plur-memory command
includeGlobal	true	Whether global engrams accompany the workspace scope

Reranking is configured through PLUR itself, not here: set the PLUR_RERANKER environment variable. It runs in the harness's own process and bge-reranker-v2-m3 peaks around 2GB RSS, where a native OOM cannot be caught by a JavaScript try/catch and would take your agent down with it. Leave it unset for interactive use; enable it for local batch work where a crash costs you nothing.

Troubleshooting

Run /plur or ask for plur_status. The counters tell you whether recall ran at all, whether the block changed, and whether anything was swallowed:

scope: project:acme
injection: content
refresh_attempted: 12
blocks_written: 4
blocks_unchanged: 8
errors_swallowed: 0

errors_swallowed > 0 means PLUR failed and the plugin degraded quietly — by design, a memory failure never fails your turn.

Development

The plugin lives in the PLUR monorepo at packages/dsh.

git clone https://github.com/plur-ai/plur && cd plur
pnpm install
pnpm --filter @plur-ai/dsh build
pnpm --filter @plur-ai/dsh test

test/host-conformance.test.ts is the one to know about: it boots the real dsh-commands, dsh-skill, dsh-system-prompt and dsh-tools registries against a real store on disk, rather than a double. Every host-contract bug this plugin has had — and there were five — survived a suite that stubbed those registries and hand-wrote event payloads. If you touch anything the host owns, assert against the host's own implementation.

Issues and pull requests: github.com/plur-ai/plur.

Also available for

Claude Code and Cursor (via MCP), OpenClaw, Hermes, LangChain, and a Python SDK. Same engrams, same store, every tool you use.

License & security

Apache-2.0. See LICENSE.

Report a security issue privately to security@plur.ai, not through a public issue. What is worth reporting here: anything that reads or writes engrams outside the scope the session resolved, anything that gets engram text to forge structure in the system prompt, and anything reachable on the memory viewer's loopback port from another origin.

Links

• plur.ai · docs.plur.ai
• github.com/plur-ai/plur