DeepSeek Harness Plugin Hub

Publish and manage complete Harness Profiles. Discover Plugins for your next setup.

Explore

PluginsPresetsDocsNews

Community

Publish a pluginContactReport an issue

Resources

Plugin Hub on GitHubDeepSeek HarnessSystem statusPrivacy notice
© 2026 DeepSeek Harness Plugin HubPowered byPaxTech

Independent and unofficial. Not affiliated with, authorized by, or endorsed by DeepSeek.

Memory Plugin — DSH Plugin for DeepSeek Harness
DeepSeek Harness Plugin Hub
ProfilesPluginsCategoriesNewsDocsSign inManage Profiles
ProfilesPluginsCategoriesNewsDocsSign in
← Plugins

@openviking/dsh-memory-plugin

Memory Plugin

OpenViking memory and context bundle for DeepSeek Harness

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add @openviking/dsh-memory-plugin@0.3.2
READMECompatibilityVersions

Compatibility and provenance

Memory Plugin is published as @openviking/dsh-memory-plugin and currently resolves to version 0.3.2. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
npm
Registry updated
9/20/2026

Versions

0.3.2stable
9/14/2026
0.3.0stable
8/28/2026
0.2.1stable
8/20/2026
Show 2 more versionsCollapse versions
0.2.0stable
8/20/2026
0.1.0stable
8/20/2026

Related plugins

Loading related plugins…

Latest
0.3.2
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
196.7 kB
Files
29
Surface
any
License
Apache-2.0
Source
npm
GitHub
★ 38.1k
Weekly downloads
4,578
Security scan
✓ v0.3.2 scan passed
Last push
9/20/2026
View source ↗Project homepage ↗
README badge

Click the badge to copy Markdown for your README.

Do you maintain this Plugin?Claim benefit · Priority security scan

Verify the GitHub repository declared in package.json to manage this listing. After you claim it, Hub will prioritize a security scan of the current version and publish the result when it passes.

Claim this Plugin →
Report an issue

Related plugins

More verified plugins in memory-context.

Contextdsh-contextA DeepSeek Harness plugin for context insight and management, with context dashboard and context command, for understanding how the context is made of, and how it evolves.Weknora@wxg-prc-cpg/dsh-weknoraWeKnora knowledge retrieval tools for DeepSeek Harness (dsh): semantic search, document reading and RAG/agent answers over your own knowledge bases.Mnemondsh-mnemonComposable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.Memsearch Dsh@zilliz/memsearch-dshMemSearch plugin for DeepSeek Harness: shared markdown memory across agents, with capture, pre-step context injection, memory-recall skill, and a skill-candidate review panel.

README

OpenViking Memory for DeepSeek Harness

An installable DeepSeek Harness bundle that adds OpenViking auto-recall, session capture, viking:// URI protection, and the OpenViking MCP tool surface.

Requires an OpenViking server with viking://~ home-alias support. Recall targets the caller's own context space through viking://~/memories and viking://~/skills; the uid-less viking://user/memories shorthand is rejected by newer servers.

Published as @openviking/dsh-memory-plugin.

Install

DSH is covered by the unified memory-plugin installer, which asks which profile to install into (default web):

bash <(curl -fsSL https://raw.githubusercontent.com/volcengine/OpenViking/main/examples/memory-plugin-shared/install.sh)

Or add the package to a profile directly:

dsh plugin --profile web add @openviking/dsh-memory-plugin
dsh --profile web --dump-config    # should list the openviking-memory group

dsh plugin forwards to pnpm inside the profile directory, so the bundle has to be a real package. Linking a source checkout (dsh plugin --profile web add ./examples/dsh-memory-plugin) only works when that checkout has its own node_modules, because Node resolves the bundle's dsh peers from the source tree's realpath rather than from the profile.

Requirements

  • @deepseek-ai/dsh 0.1.0-rc.6, 0.1.5-rc.1, or 0.1.5-rc.2; stable 0.1.x releases are also admitted by the peer range
  • Node.js ^22.19.0 or >=24
  • A reachable OpenViking server

The bundle has no runtime npm dependencies. Its message structures come from createUserMessage (@deepseek-ai/dsh-llm), its tool surface from @deepseek-ai/dsh-mcp-client, and its skill provider from @deepseek-ai/dsh-skill-filesystem — peerDependencies that DSH itself already installs. Keep those packages in the host installation rather than adding individual DSH core packages to the profile. DSH initializes profiles with nodeLinker: hoisted and autoInstallPeers: false, then makes the host packages available through its module fallback at boot. A missing-peer warning during dsh plugin add alone does not prove startup is broken.

The peer range is >=0.1.0-rc.6 <0.2.0 || ^0.1.5-rc.1. The second clause explicitly admits the 0.1.5 release candidates: semver does not include them in the first clause merely because they compare above 0.1.0-rc.6. Other pre-release series need separate verification. Local devDependencies and overrides stay pinned to rc.6 to exercise the minimum supported contract.

Everything under shared/ and skills/ is generated by node examples/memory-plugin-shared/sync.mjs — edit examples/memory-plugin-shared/lib/ and examples/skills/, never the vendored copies.

Troubleshooting startup

If startup reports that @deepseek-ai/dsh-llm does not export assertNever, inspect the affected profile before changing dependencies:

dsh --version
dsh plugin --profile web why @deepseek-ai/dsh-skill
dsh plugin --profile web why @deepseek-ai/dsh-skill-filesystem
dsh plugin --profile web why @deepseek-ai/dsh-llm

Replace web with the affected profile name. Check its package.json, pnpm-lock.yaml, and pnpm-workspace.yaml under ${DSH_HOME:-$HOME/.dsh}/profiles/<profile>/, including dependency overrides. dsh-skill@0.0.1-rc.1 imports assertNever from the old location. A profile-local copy can shadow the newer host package and break both DSH's own skill loader and this plugin. As of 2026-09-14, the skill and skill-filesystem npm latest tags still point to 0.0.1 release candidates; installing either without a version is not an upgrade strategy.

If these old packages are direct profile dependencies added only to satisfy this plugin, remove those constraints and let DSH supply its matching packages:

dsh plugin --profile web remove @deepseek-ai/dsh-skill @deepseek-ai/dsh-skill-filesystem
dsh plugin --profile web add @openviking/dsh-memory-plugin@latest
dsh --profile web

If another plugin requires them, update that plugin's constraints instead of removing them blindly. Keep autoInstallPeers: false and nodeLinker: hoisted in the profile's pnpm settings. Do not patch the import in node_modules: a mixed DSH package family can have other incompatible interfaces. Updating this memory plugin alone does not remove conflicting profile-local packages.

Use dsh --profile <profile> to start a named profile. dsh web is an alias for the stock web profile, not a subcommand to append after --profile.

Design notes

Why injection uses pre-step user messages, not the system prompt

Recall and profile context enter through the agent/pre-step waterfall as durable, source-attributed user messages (source: { kind: 'plugin', … }). They are deliberately not added to the system prompt: a DSH preset whose persona declares complete: true (the stock minimal preset does) restores that persona as the sole prompt section after assembly, silently discarding every other contribution — a system-prompt-based memory plugin loses its context under such presets with no error. Pre-step injection also makes each injection a session event that replays, is visible to compaction, and never reaches request/header.

How the tool surface is mounted

mcp.mjs mounts @deepseek-ai/dsh-mcp-client on servers/mcp-proxy.mjs, the same stdio proxy every other OpenViking memory integration starts, so the model gets the server's full tool set instead of a hand-maintained subset and the transport behaves identically across harnesses. Pointing the bridge straight at the server's /mcp endpoint does not work: with stateless_http=True the server still answers GET /mcp with an idle 200 SSE stream, and once the MCP SDK client opens that standalone stream it stops resolving POST responses, so tools/list never returns. The proxy owns the transport itself and is unaffected.

The bundle's resolved credentials travel to the proxy through the child environment, because DSH scrubs credential-shaped names out of the inherited env and a subprocess cannot see the Cordis patch; the proxy then applies the usual OPENVIKING_* → ovcli.conf → ov.conf chain and reloads when those files change.

Two consequences follow from the proxy being one process per profile:

  • The actor peer is process-level. Recall, capture, and commit still resolve a peer per session from that session's workspace repository, but tool calls carry the peer resolved at boot. Set OPENVIKING_PEER_ID when one process serves several repositories and you need tool calls attributed exactly.
  • remember is not session-scoped. The server's MCP remember stores into its own short-lived session rather than the live dsh-<session-id> stream — the same behavior the Claude Code, Codex, and Cursor integrations have. Automatic capture still records the conversation itself.

The bridge and the skill provider are mounted last in apply(), after every lifecycle registration, so a proxy that cannot start holds up nothing above it.

Why the skill gets its own provider

skills.mjs registers a second ctx.skills provider with includeDefaultRoots: false and bundledSkillDir pointing at skills/. DSH reads this host-owned bundle directly rather than asking a workspace filesystem to resolve a path outside its root. Its existing filesystem provider still owns the project and user skill roots; the bundle does not duplicate that catalog or override higher-priority project skills.

Configuration

OpenViking credentials use the same resolution order as the other memory plugins:

  1. OPENVIKING_* environment variables
  2. ~/.openviking/ovcli.conf
  3. ~/.openviking/ov.conf

Common environment variables:

VariablePurpose
OPENVIKING_URL / OPENVIKING_BASE_URLOpenViking server endpoint
OPENVIKING_API_KEY / OPENVIKING_BEARER_TOKENBearer credential
OPENVIKING_ACCOUNTTrusted-mode account
OPENVIKING_USERTrusted-mode user
OPENVIKING_PEER_IDExplicit actor peer
OPENVIKING_WORKSPACE_PEERDerive a peer from each DSH session workspace's git identity by default; 0 sends no peer
OPENVIKING_RECALL_PEER_SCOPEall for cross-workspace recall or actor for isolation

The patch can also carry plugin config:

- insert:
    - id: openviking-memory
      name: '@deepseek-ai/cordis-plugin-group'
      group: true
      isolate:
        openvikingMemory: true
      config:
        - id: openviking-memory-runtime
          name: '@openviking/dsh-memory-plugin'
          config:
            endpoint: http://127.0.0.1:1933
            recallTokenBudget: 2000
            scoreThreshold: 0.35
            captureToolResults: false
            skipSubagentSessions: true
            commitTokenThreshold: 20000
            mcpToolCallTimeoutMs: 60000

Behavior

  • agent/session-start injects the OpenViking profile and available-memory index through agent.inject().
  • agent/pre-step retrieves with the current step input and appends a durable plugin message to that same step.
  • session/event captures user, assistant, and optionally tool-result messages without scraping a transcript.
  • turn/end checks the OpenViking pending-token threshold and commits when required.
  • skipSubagentSessions: true excludes sessions marked with header.origin: subagent from automatic profile, recall, capture, and commit; it defaults to false.
  • syncTurns: false stops every new write: no captured messages, no threshold or shutdown commit. Writes queued while the toggle was on are still replayed by the background drainer once the server recovers — they were captured with the toggle on. Profile injection and recall are unaffected; it defaults to true.
  • Failed writes enter the shared OpenViking pending queue. A background drainer (default every 60s, OPENVIKING_PENDING_DRAIN_INTERVAL_MS) probes the server health and replays the queue in-process, so a transient write failure recovers without restarting dsh; it does not consume the session-start retry budget. Session-start replays keep consuming retries as before.
  • tools/pre-execute blocks DSH filesystem and shell tools from treating viking:// URIs as local paths, pointing the model at the bridged mcp__openviking__* tools instead.

Each DSH session maps to dsh-<session-id> in OpenViking. Workspace-derived actor peers are resolved per session and sent on every session-specific request: the peer is the git identity of the session's workspace — the normalized origin URL (git@github.com:volcengine/OpenViking.git becomes github.com-volcengine-openviking), else the repository root path, that fallback keeping the older rule where every non-letter-or-digit character becomes -. Outside a git repository no peer is sent at all, and what is remembered there goes to the user-level space viking://user/<you>/memories. One repository therefore keeps one peer across subdirectories, worktrees, clones and machines, while a fork's different origin keeps it separate. DSH does not read workspace .openviking/config.json files, so a peer.id written there has no effect; pin a peer with OPENVIKING_PEER_ID instead. Memories written under the older path-derived peer stay reachable: the default recallPeerScope: all sweeps every peer under the user.

Tools

The model sees the OpenViking MCP tools under the bridge's server-qualified names — mcp__openviking__search, mcp__openviking__read, mcp__openviking__list, mcp__openviking__tree, mcp__openviking__grep, mcp__openviking__glob, mcp__openviking__remember, mcp__openviking__write, mcp__openviking__edit, mcp__openviking__forget, mcp__openviking__add_resource, and the rest of whatever the connected server advertises. The list re-syncs when the server announces a change, so a server upgrade adds tools without a bundle release.

mcp__openviking__forget performs permanent deletion. The calling model should use it only when the user explicitly requests deletion.

The bundle also serves the shared openviking-memory skill from skills/ through its own isolated ctx.skills provider, so the model gets the same guidance on when to search, read, and write that the other integrations ship.

Testing

npm ci          # installs the exact-pinned dsh devDependencies the tests exercise
npm run check   # syntax check every shipped module + package/PLUGIN_VERSION agreement
npm test        # node --test *.test.mjs — runs in the repo's PR workflow

The 0.3.2 compatibility check installed the packed bundle through dsh plugin add in isolated profiles and exercised DSH 0.1.0-rc.6, 0.1.5-rc.1, and 0.1.5-rc.2 with matching core packages. It covered Web startup and browser loading, skill discovery/read, MCP tool calls, profile/recall injection, user/assistant capture, resume deduplication, threshold commits, and disposal commits. The check used a local HTTP/MCP fixture and a deterministic model adapter on macOS with Node.js 26.5.0; it verifies harness integration, not real-server memory extraction. The rc.2 CLI also exited cleanly on SIGTERM.

The startup failure from issue #4944 was reproduced by adding the reported old skill packages to an rc.2 profile; removing those direct dependencies and reinstalling the bundle restored the same integration checks. A clean rc.2 profile with the published 0.3.0 bundle did not reproduce that import error.

live-recall.test.mjs is an opt-in end-to-end gate against a real OpenViking server: it stores a sentinel memory through a session commit, waits for extraction, and asserts recall returns that sentinel — the property no stub can certify. Enable it with OPENVIKING_E2E=1 plus the normal credential chain; it skips otherwise (including in CI until a server secret exists).