@plur-ai/dsh
适用于 DeepSeek Harness 的 PLUR 记忆——将记忆痕迹直接注入提示词，无需调用工具
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add @plur-ai/dsh@0.1.0@plur-ai/dsh 以 @plur-ai/dsh 发布，当前版本为 0.1.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
Persistent memory for DeepSeek Harness. Your agent corrected on Monday remembers on Tuesday.
English | 中文
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.
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.
| 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.
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.
Teach it something once:
You: Always use pnpm in this project —
npm installbreaks 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.
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).
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.
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.
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.
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 |
/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.
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:
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..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
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.
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.
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.
Claude Code and Cursor (via MCP), OpenClaw, Hermes, LangChain, and a Python SDK. Same engrams, same store, every tool you use.
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.