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Prompts and workflows

DeepSeek V4 Pro · workflow

DeepSeek Harness v0.1: Launching and Configuring the Official Plugin-Based Agent Framework

DeepSeek’s official open-source Agent framework is built on the principle that `everything is a plugin` (models, tools, skills, sessions, sandboxes, file systems, loops, orchestration, and UI can all be replaced); a single `npx @deepseek-ai/dsh web` command launches the Web UI locally. It is currently in developer preview and will introduce compatibility-breaking changes.

Source not verifiedModel-compatible prompt harness

Prerequisites and inputs

  • task objective
  • source material
  • output format
  • acceptance check

One-sentence takeaway

DeepSeek’s official open-source Agent framework is built on the principle that everything is a plugin (models, tools, skills, sessions, sandboxes, file systems, loops, orchestration, and UI can all be replaced); a single npx @deepseek-ai/dsh web command launches the Web UI locally. It is currently in developer preview and will introduce compatibility-breaking changes.

Use cases

  • Good fit: Building or customizing an Agent harness with DeepSeek’s official framework; experiments that combine models, tools, and skills as plugins; and studying the official default configuration for Agent workflows in the V4 series.

  • Poor fit: Directly relying on an unpinned preview framework in production; or needing a mature, ready-to-use Agent product (the preview iterates quickly and may break compatibility).

  • Applicable model version: The framework targets DeepSeek models (the V4 series), and the README uses the default Web UI launch as its example; the model plugin can be replaced.

  • Applicable client, Agent, or API: The dsh CLI/Web UI (default: http://127.0.0.1:3080); powered under the hood by the Cordis meta-framework.

  • Recommended reasoning tier and parameters: The framework documentation does not provide effort recommendations in the README; on the model side, continue using the official low/high/max configurations.

Directly usable content

The official README’s launch commands (original text):

# Run from npm (launches the Web UI at http://127.0.0.1:3080 by default and opens the browser)
npx @deepseek-ai/dsh web

# Do not open the browser automatically
npx @deepseek-ai/dsh web --no-open

# Run from source
git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harness
pnpm install
pnpm run build
pnpm dsh web

Key points from the official announcement (X @deepseek_ai, 2026-08-13):

DeepSeek Harness v0.1 is now available in developer preview!
It is open to developers of Agent frameworks worldwide, and the code repository is open-sourced under the MIT license.
Powered by the Cordis meta-framework, its core principle is: everything is a plugin.
Models, tools, skills, sessions, sandboxes, file systems, loops, orchestration, and UI can all be replaced.

Testing / Workflow Steps

  1. First confirm the Node.js environment, then launch the Web UI with npx @deepseek-ai/dsh web; in an SSH scenario, only the host URL is printed (local port forwarding is handled by the SSH client/editor).

  2. Read the development guide and architecture documentation in docs/ to understand the plugin boundaries (models/tools/skills/sessions/sandboxes/file systems/loops/orchestration/UI).

  3. Run a minimal Agent task using the examples in examples/, replace the default model plugin with deepseek-v4-pro, and record how the tool and skill plugins are loaded.

  4. Because this is a developer preview, pin the version and back up the configuration before upgrading; monitor the plugin ecosystem in GitHub Discussions and topics related to dsh-plugin.

  5. Compare the harness’s default behavior with direct API access on the target task (system prompt, tool protocol, and cost), then decide whether to use it in production.

Original evidence and data

  • Repository scale at collection time: approximately 12,940 commits, 176k stars, and 19.1k forks, under the MIT license; latest release 0.1.0-rc.8; includes directories such as docs/, examples/, packages/, python/, and apps/web.

  • The README explicitly says: “DeepSeek Harness is currently in developer preview and is iterating rapidly. THERE WILL BE COMPATIBILITY-BREAKING CHANGES.”

  • The README explicitly describes the plugin architecture as follows: “everything is a plugin, and is powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability.”

  • The official X announcement (2026-08-13) also announced the V4-Pro GA release, indicating that Harness and V4-Pro launched at the same time and that Harness is positioned as the official Agent framework.

Limitations of applicability

  • Developer preview: compatibility-breaking changes are frequent, as the README explicitly warns; this article records only the README and official announcement and did not install or run the framework.

  • “Everything is a plugin” is an architectural commitment, not a guarantee that every plugin is stable; third-party plugins must be audited independently (the MIT license does not guarantee security).

  • Harness’s Web UI/CLI is an official open-source DeepSeek project and is separate from DeepSeek’s commercial API service; take care with key management and costs when connecting an API key.

  • Framework capabilities and V4-Pro model capabilities are separate layers: the harness introduces its own system prompt and tool protocol, so “harness performance” must not be equated with “model performance.”

Source excerpt or observation (for compliant short quotation only)

The official X announcement says: “DeepSeek Harness is an Agent framework built around one core principle: everything is a plugin. Models, tools, skills, sessions, sandboxes, file systems, loops, orchestration, and UI …”.

Source and dates

GitHub (the official deepseek-ai/deepseek-harness repository) and the official X account @deepseekai · Source date: 2026-08-13 · Edited: 2026-09-20

Read the original source
Variable checklist

No required variables

Related prompts

DeepSeek-V4-Pro Thinking Levels and Tool-Calling WorkflowDeepSeek-V4-Pro Responses Configuration Workflow in CodexDeepSeek-V4-Pro 1M Context Environment Variable Configuration Workflow in Claude Codedeepseek-enhance-md: Concise System Prompt for the V4 Series (Rewritten in the Fable 5 Architecture)

Related reviews

DeepSeek-V4-Pro Official Release: Reasoning and Agent UpgradesDeepSeek-V4-Pro-0813: MindStudio's Eight-Task Coding and Agent Hands-on ComparisonDeepSeek-V4-Pro XSCT Bench Two-Case Comparison: Strong Planning, Weak ClarificationArtificial Analysis: DeepSeek V4 Pro 0813 (Max Effort) Intelligence Index, Cost, and Positioning

Read the full analysis

Overview · English

DeepSeek V4 Pro: What Changed, What It Costs, and Who Should Use It

A sourced guide to DeepSeek V4 Pro 0813: the agent upgrades, live API limits, price boundary, independent evidence and a safer pilot plan.

DeepSeek V4 Pro

Use DeepSeek V4 Pro in Tabbit

Run this guide in the environment listed above. Downloading does not transfer the template or establish model availability for your account.