DeepSeek Harness Download & Installation

Next-generation production-grade AI agent development and runtime platform. Supporting Web native deployment, Windows, and macOS desktop clients for seamless multi-agent workflows.

Web Version

Official Edition

Cross-platform compatibility, engineered for developers with high flexibility.

Windows

Community Build

Fully compatible with Windows 10 & 11, out of the box.

macOS

Community Build

Native optimization for Apple Silicon (M-series) and Intel architectures.

System & Runtime Requirements

Recommended software and hardware specifications for running DeepSeek Harness.

Hardware Requirements

OS Platforms

Universal OS Support: Windows 10/11, macOS 12+ (Apple Silicon/Intel), Linux major distros

Memory / RAM

Recommended RAM: 4GB+ RAM for basic usage, 8GB+ RAM for multi-agent concurrency

Environment Requirements

Node.js Runtime

Node.js 18.0+ or 20.x LTS (Required for Web and CLI environments)

Node.js Installation

Official Installer: Visit nodejs.org and download the recommended LTS installer;

Command Line: Run brew install node on macOS, or winget install OpenJS.NodeJS.LTS on Windows.

3 Steps to Get Started with DeepSeek Harness

Initialize your agent workspace and configure your model in minutes.

01STEP 1

Download Client or Source

Select and download the dedicated Windows or macOS installer matching your OS, or clone the official open-source repository to quickly initialize your local runtime environment.

Client or Git clone
02STEP 2

Configure Model Credentials

Enter your DeepSeek API Key in the settings panel, or point the custom BaseURL to a local Ollama or private endpoint to toggle seamlessly between cloud and offline models.

API Key / Ollama BaseURL
03STEP 3

Load Plugins & Collaborate

Attach your preferred Cordis plugins and secure execution sandboxes, then submit prompts in the workspace to let autonomous agents execute complex multi-step workflows.

Cordis Plugins & Sandbox

Download & Installation FAQ

Answers to common questions regarding client editions, API keys, system permissions, and local deployments.

How to choose between Web and Desktop editions?

The Web edition is tailored for developers who wish to customize source code, build plugins, or host private deployments across browsers. The desktop app (Windows / macOS) provides an out-of-the-box native GUI workspace with preconfigured runtime environments. Choose the best match for your daily workflow.

What is the difference between official and third-party editions?

The official open-source edition is intended for engineers building custom plugins, tools, or self-hosted systems with complete architectural freedom. The community desktop edition pre-packages runtime dependencies into a polished desktop GUI, designed for frictionless everyday productivity without manual setup.

Windows SmartScreen warning fix?

Because community desktop builds are distributed without enterprise-grade commercial code signing certificates, Windows SmartScreen may flag an unrecognized publisher. This is normal. The software is completely open-source. Click 'More info' on the blue popup window, then select 'Run anyway' to launch the installer.

macOS unverified developer error fix?

When opening non-App Store apps on macOS, Gatekeeper may display an 'unidentified developer' prompt. Go to System Settings > Privacy & Security, scroll down to the security section, and click 'Open Anyway'. Alternatively, right-click the application icon in Finder and select 'Open' to grant permanent execution access.

How to update DeepSeek Harness after installation?

The desktop client features built-in update notifications. When a new release is available, an update banner will appear allowing one-click upgrades while preserving all existing configurations. If you are using the Web source or CLI edition, simply execute git pull or npm update in your workspace directory to fetch the latest commits with complete data persistence.

Support local LLMs and private endpoints?

Yes, fully supported. DeepSeek Harness complies strictly with standard OpenAI API protocols. In addition to official cloud APIs, you can redirect the client BaseURL to locally hosted Ollama, vLLM, LM Studio, or internal enterprise gateways, enabling offline execution with complete data sovereignty.