dsh-mnemon

dsh-mnemon

English · 简体中文

Composable, view-based memory for DeepSeek Harness.

Pluggable sources and strategies, with layered memory out of the box.

Install and start · Watch the demo · Documentation · Build a plugin

Why dsh-mnemon

An Agent that starts every session from scratch keeps asking what it was already told. Putting everything into one memory store is no better: it either floods each turn or misses what matters. dsh-mnemon gives DeepSeek Harness memory that is layered, visible and composable.

• The right memory for each turn. Preferences and working facts stay in context. Project documents and long-term evidence are searched only when a question needs them.
• You can see what a turn used. Under each reply, the turn memory bar lists the documents and memories the turn read and wrote, and one click opens each in the Memory System. The Memory System shows everything that is stored and lets you edit it.
• Save to memory in one click. When a conversation turns up a fact worth keeping, the brain mark under the reply hands it to a task Agent, which removes duplicates, distils it and writes it to the right Memory Space; the receipt says where it went.
• Compose it on the Plugins page. Choose a main strategy and optional enhancements, and switch them without moving any data. Every component has its own page for its settings.
• Keep data where you want it. Local by default with Mnemon Native, or one of eight third-party Providers. Storage can be global, per workspace or centralized, with ZIP backup.
• Extend it. Sources and Strategies are ordinary DSH plugins built on public SDKs. An installed component gets the same pages and switches as the shipped ones.

See it in action

These recordings come from a real WebUI with the live DeepSeek model answering, on a seeded, fictional project, Lumen. Waits for the model play faster, marked in the lower right corner.

Save a new fact to memory. A reply reports a new measurement. Select the brain mark under it, cut the candidate down to the sentence worth keeping and send it to the task Agent; the receipt names the Memory Space it went to and opens it in one click.

See all memory in one place. Status, runtime memory, Project Documents and Memory Spaces live in the Memory System. The graph links memories through the entities they mention, and Ask Agent answers with the memories it cites, by content.

Compose memory on the Plugins page. One main strategy, its memory sources and optional enhancements, each switch applying at once. Every component has its own page, and storage, backup and interface settings live here too.

Every step is explained in the UI guide; all screens, recordings and the capture environment are in the v0.5.19 gallery.

Three kinds of memory

Memory	Keep here	How it reaches the Agent
Runtime memory	Preferences, working agreements, facts needed on the next turn	Injected every turn as compact USER.md and MEMORY.md
Project Documents	Designs, investigations, procedures and handoffs	Searched first, then read when relevant
Memory Spaces	Durable facts, decisions, entities and their relationships	Recalled on demand from the enabled Providers

The default Layered strategy keeps runtime memory resident and reads the other two on demand. The General strategy offers every available source within one budget and lets the model decide how to use each. A memory space is one named, Provider-backed scope for long-term evidence; the Chinese product term is 记忆空间.

Quick start

New to DSH? Install and start walks from an empty machine to your first memory, with a screenshot for every step. The short version, with Node.js 22.19 or later:

npm install --global pnpm
npx @deepseek-ai/dsh web

1. In the page that opens, click Plugins → Add plugin, type dsh-mnemon, click Install, then Enable now.
2. Open Memory System in the sidebar. Status shows each memory component and Provider.
3. Tell a conversation something to remember. The turn memory bar under the reply lists what the turn read and wrote, and the brain mark saves a reply to memory.
4. For Memory Spaces, install the Mnemon CLI for Mnemon Native with npm install --global @mnemon-dev/mnemon, or enable another Provider on the Memory Spaces page.
5. Choose the main strategy and enhancements under Plugins → dsh-mnemon.

dsh-mnemon supports DSH 0.1.7-rc.2 (npm latest) and 0.2.0-rc.1 (npm next, run with npx @deepseek-ai/dsh@next web). The same package serves the desktop app's Plugins page, dsh plugin --profile web add dsh-mnemon on the command line, and Headless with dsh plugin --profile headless add dsh-mnemon; keep v0.5.16 on older hosts. Getting started continues from here, and compatibility and upgrades covers existing installations.

How it works

• Sources own memory and its operations: Runtime memory, Project Documents and Memory Spaces, whose Providers are its children.
• A Strategy decides how the available Sources take part in a turn: what stays resident, what can be searched, and which tools and budgets apply. Enhancements add to it through standard slots.
• Core validates the result into one immutable View for the turn. The DSH Host pins it to that turn and controls tool access.

The same public contracts serve the shipped plugins and external repositories. Architecture explains ownership, the turn lifecycle and the UI regions components contribute to.

Official plugins

The Starter pins a tested combination of independently versioned packages. One main strategy runs at a time; the enhancements are off until you turn them on.

Package	Role	Default
dsh-mnemon-source-runtime	Runtime memory: USER.md, MEMORY.md, revisions and local hot storage	On
dsh-mnemon-source-documents	Project Documents: Markdown, search, revisions and archiving	On
dsh-mnemon-source-memory-spaces	Memory Spaces: durable evidence and their Providers	On
dsh-mnemon-strategy-default-three-tier	Layered strategy: resident runtime memory, the rest on demand	Selected
dsh-mnemon-strategy-general	General strategy: every available source in one budget	Off
dsh-mnemon-strategy-auto-capture	Active capture: in-turn guidance to keep useful facts	Off
dsh-mnemon-strategy-light-context	Light context: a shared ceiling on resident context	Off
dsh-mnemon-strategy-scoped	Scoped composition: ordered sources and a writable subset	Off

Memory Spaces Providers: Mnemon Native (default, local) · OpenViking · Honcho · Mem0 · Hindsight · Holographic · RetainDB · ByteRover · Supermemory. Third-party Providers stay off until configured; graph, deletion and enumeration capabilities differ by backend. See Providers.

Build your own

Define a Source or Strategy with dsh-mnemon/extension-sdk, add an enhancement through the standard slots, or write a Memory Spaces driver with dsh-mnemon-source-memory-spaces/provider-sdk. A component can also add its own settings and Status card to the pages dsh-mnemon shows. Your repository owns its manifest, dependencies, tests and build; DSH installs and mounts it, and choosing it as the main strategy is a separate decision.

Start with the plugin author guide. Discuss new capabilities and Providers in an Issue before a pull request; see CONTRIBUTING.

Data and trust

• Runtime memory and Project Documents are local files; Mnemon Native is local. Third-party Providers use their own services and scopes.
• Turning a component off does not erase its memory, and changing the storage location does not move data. Use ZIP backup to carry it.
• Saved Provider credentials stay on the Host and are never exported. Backups still contain private memory; protect them.
• Sources and Strategies are trusted in-process JavaScript, not sandboxed code. Remembered history never outranks current instructions.

Backup and recovery · Security policy · Release history · Roadmap

Develop and verify

pnpm install --frozen-lockfile
pnpm verify
pnpm verify:plugins

Use Node.js ^22.19.0 || >=24.0.0 and pnpm. node scripts/serve-e2e.mjs starts a disposable real WebUI; add --docs-demo for the seeded project behind these screenshots, and --live-model to have the DeepSeek API answer, with the key read from DEEPSEEK_API_KEY. Mechanical tests are not claims about model accuracy or live cloud Providers. Development and verification.