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.

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

dsh-deepbrain

Deepbrain

DeepBrain (深脑) plugin for DeepSeek Harness: give your agent an organization's second brain — judgments with evidence chains, verbatim-verified quotes, people's historical positions, and 200+ analysis methods it can borrow

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

npx -y @deepseek-ai/dsh plugin --profile web add github:qiuyiwu1989-star/dsh-deepbrain#680c3575330255d732777832997554f0425d8b1f
READMECompatibilityVersions

Compatibility and provenance

Deepbrain is published as dsh-deepbrain and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
9/7/2026

Versions

0.1.0stable
9/7/2026

Related plugins

Loading related plugins…

Latest
0.1.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 1
Weekly downloads
0
Last push
9/7/2026
View source ↗
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 search-research.

Anysearch Dsh@anysearch/anysearch-dshAnySearch web search and fetch providers plus advanced tools for DeepSeek HarnessIndustry Researchdsh-industry-researchIndustry and company research domain pack for DeepSeek Harness: methodology skills, an industry-chain structure model (industry_map), public-source policy/news tracking over ctx.web (industry_track), company scan cards (company_scan), and auditable researZoterodsh-zoteroLet agents search, read, and cite your local Zotero library: find papers, browse notes and annotations, pull evidence by question, open the source document, generate citations.Browser@anweat/dsh-browserSelf-contained browser runtime plugin for DeepSeek Harness (scoped @anweat) — bundles Playwright (chromium) and OpenCLI as plugin-local dependencies (with global-reuse fallback), exposes a `browser` service and interactive browser tools.

README

dsh-deepbrain

Bring DeepBrain (深脑) into DeepSeek Harness.

DeepBrain does not store documents — it stores judgments: conclusions distilled from recordings of meetings, interviews and lectures, each with an evidence chain back to what was actually said, and corroborated across separate occasions. With this plugin your DSH agent can read those judgments, quote verbatim-verified lines under someone's name, look up a person's historical positions, and borrow DeepBrain's analysis methods for material of its own.

Requires a DeepBrain account and API key. DeepBrain: https://shennao.zaowuyun.com The product UI and returned content are in Chinese.

Install

npx -p @deepseek-ai/dsh dsh plugin --profile web add github:qiuyiwu1989-star/dsh-deepbrain

Build output ships in the repository, so no dependency build scripts need to be allowed. Restart the profile afterwards.

Then set your key (generate one under Settings → API keys; it looks like lj_live_…):

export DEEPBRAIN_API_KEY=lj_live_xxx

Prefer the environment variable over putting it in config: profile config is printed verbatim by dsh --dump-config, so a key written there ends up in logs and screenshots.

Six tools

The server currently exposes 27 MCP tools. This plugin registers 6 — a client's job is not to mirror the server, it is to present the right shape. Hand a model 27 tool names and its default strategy becomes "use whichever returns the most", which means going straight for raw transcripts and blowing up its own context.

ToolWhen to use it
deepbrain_briefFirst step when you don't know what to ask. Describe your situation; DeepBrain decides what you should know
deepbrain_topicsBrowse the index, or pull one topic's digest. Most writing and analysis stops here
deepbrain_quotesQuotes you can attribute — every one verified word-for-word against the transcript
deepbrain_personThe roster, or one person's history of positions. Run it before a negotiation or a meeting
deepbrain_askAsk a specific question, get a sourced answer. Slow questions are awaited automatically
deepbrain_callEscape hatch. Call any DeepBrain MCP tool directly, for what the five above don't cover

Leaving tool empty on deepbrain_call lists every tool the current key is allowed to call.

Configuration

- insert:
    - id: deepbrain
      name: 'dsh-deepbrain'
      config:
        endpoint: 'https://shennao.zaowuyun.com/api/mcp'   # self-hosted? change this
        apiKey: ''                                          # empty → read DEEPBRAIN_API_KEY
        timeoutMs: 120000                                   # multi-step retrieval can take a while
        passthrough: true                                   # false = don't register deepbrain_call

Scopes

DeepBrain API keys are scoped, and the server trims the callable tool set accordingly:

  • brain.ask — judgments, quotes, people, method library. Most usage needs only this
  • transcript.read / transcript.write — fetch raw transcripts, feed new ones in
  • brain.propose — write judgments back (they land in an inbox and require human review)

When a scope is missing the tool tells the model plainly that retrying will not help and a different key is needed, rather than reporting a generic failure.

What it does not do

  • No caching. Every call is live. Judgments get superseded and expire; a cache would serve stale conclusions as current ones.
  • No writes unless you explicitly call a write tool through deepbrain_call, which requires brain.propose.
  • No web UI. Host-only plugin: it contributes tools, registers no slots, ships no client bundle.

Known boundary

@deepseek-ai/dsh-tools is a real dependency here (installed with the plugin), but it declares @deepseek-ai/cordis as its own peer. In a clean profile without auto-install-peers, cordis will not be installed — this is upstream of this plugin and affects any third-party plugin that uses dsh-tools.

Normally the harness supplies cordis (it is a dependency of dsh itself). If you hit Cannot find package '@deepseek-ai/cordis', run this in the profile:

pnpm config set auto-install-peers true

This plugin deliberately does not depend on its own copy of cordis — cordis is the DI container, and duplicating it splits Context/Service identity, which is far worse than a missing dependency.

Development

See CONTRIBUTING.md.

MIT