DeepSeek Harness Desktop for macOS and Windows

DeepSeek Harness (DSH) has officially entered public preview globally. This open-source framework is designed to push the boundaries of artificial intelligence through a highly flexible, composable plugin system.

"I'm DeepSeek Harness, an open-source harness from DeepSeek built on Cordis's 'everything is a plugin' architecture."

🚀 Core Capabilities

DeepSeek Harness is designed to be a versatile assistant capable of handling a wide array of professional and technical demands.

Category	Primary Functions
Daily Productivity	Organizing files, analyzing complex data, drafting documentation, and generating presentation slides.
Software Engineering	Exploring code repositories, debugging, implementing new features, and executing test suites.
Background Operations	Running automated scripts, processing files in batches, and monitoring task progress.

Interaction Model

Users can interact with the system using intuitive triggers:

/ commands for specific actions.
@ to reference specific files or previous sessions.
Creator Mode: A specialized chat mode used to build and install new plugins on the fly.

🧩 The Plugin Ecosystem

At its heart, DSH operates on the principle that everything is a plugin. This allows users to extend the interface, add new skills, and integrate new tools seamlessly.

Case Study: Building a Pomodoro Timer

In "Creator mode," a user can describe a tool, and DSH will build it. For example, creating a floating Pomodoro timer involves:

Loading the cordis-plugin-development skill.
Defining the shell.overlay for an always-on-top window.
Writing the package.json and client.js logic.
Installing the bundle via the plugin_manager.

Result: A functional timer with "Focus" (25:00) and "Short break" modes.

🛠️ Workflow Integration & Automation

DSH doesn't just generate text; it interacts with your actual workspace. ~~Manual file handling~~ is replaced by direct agent interaction.

Supported File Types

The system can preview and refine results across various formats:

Documents: Brief.docx, Report.pdf, README.md
Data: Data.xlsx
Code: index.html, label.ts, analyze.py

Intelligent Scheduling

By enabling the Scheduled Tasks plugin, you can automate recurring work.

Example Task:

Every Friday at 17:00 (Beijing Time) $\rightarrow$ Summarize project notes into a weekly report.

The underlying logic follows a schedule object:

{ 
  "prompt": "Summarize this week's project notes in a weekly report.", 
  "title": "Weekly project report", 
  "weekly": { 
    "time": "17:00:00", 
    "time_zone": "Asia/Shanghai", 
    "weekdays": [5] 
  } 
}

🔍 Developer Experience

For power users, DSH provides deep visibility into the "thought process" of the agent through execution traces.

Execution Trace Example

Turn	User Input	Tool Called	Result
1	Print `NAVIGATION_OK` & read files	`bash`, `read`	`FIRST_DONE`
2	Summarize files in Markdown	`bash (ls -la)`, `grep`, `read`	Summary generated

Detailed Tool Call: TOOL bash { command : echo NAVIGATION_OK } $\rightarrow$ NAVIGATION_OK

📥 Getting Started

You can deploy DeepSeek Harness quickly using the following methods:

1. Quick Launch (Web UI)

Run the following command in your terminal:

npx @deepseek-ai/dsh web

2. Local Installation

For those who wish to modify the core or contribute:

git clone https://github.com/deepseek-ai/deepseek-harness
# Follow the setup instructions in the repository

DeepSeek Harness invites developers and enthusiasts to join its evolving ecosystem. By utilizing open-source, reusable, and composable infrastructure, we can collectively explore the true limits of machine intelligence.