dsh-workspace-api
Run the following command in DeepSeek Harness:
dsh plugin install liaoyonghong/dsh-workspace-api
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install liaoyonghong/dsh-workspace-api in the DeepSeek Harness terminal; the source repository is at https://github.com/liaoyonghong/dsh-workspace-api . Restart dsh web after installation to activate the plugin.
About this plugin
Contracts, employee handbooks, reimbursement policies, IT guidelines, and product specs are often scattered across different systems and shared drives. An employee who needs to confirm a leave rule may spend ten-plus minutes digging through folders, and internal business apps rarely have a unified natural-language knowledge endpoint. This plugin tackles exactly that pain point: drop your documents into a folder and let an AI agent handle the rest.
The core capability is zero-setup, on-the-spot document Q&A. No index building, no vector database, no coding required. An admin simply points to a document directory (txt, md, PDF, Word, and Excel supported), and employees can ask questions in plain language via the DSH chat UI or any internal application. The agent reads the documents in real time and returns a precise answer with cited sources (file name and line number). Simple questions answer in roughly three to five seconds; more complex lookups typically take one to three minutes.
It is well suited for small-to-mid teams, HR, IT, and legal roles that field recurring policy questions, and also works as a backend Q&A endpoint behind internal apps, office suites, or web chat widgets. Performance is best with tens to a few hundred documents; for corpora of a thousand or more, consider layering RAG vector retrieval on top for improved accuracy.
Use Cases
- Employees query leave, expense, and policy rules in plain language
- Internal apps integrate a unified Q&A backend via API
- New hires look up operation guides during onboarding
Best For
- HR and legal teams
- IT ops and system admins
- Internal developers needing a knowledge endpoint
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