Coding Free (MIT). Inference is whatever model you plug in — DeepSeek V4-Flash and V4-Pro are the vendor pairing.

DeepSeek Harness

Open-source agent runtime from DeepSeek. Every piece — models, tools, sandboxes, UI — is a plugin. MIT-licensed developer preview launched August 13, 2026.

Updated 2026-08-17

8.4
AI Score / 10
DeepSeek Harness Visit
Quick answer

Yes. DeepSeek Harness is free to use.

Listed pricing: Free (MIT). Inference is whatever model you plug in — DeepSeek V4-Flash and V4-Pro are the vendor pairing.

Pricing verified 2026-08-17 Is it free? Pricing Is it worth it?
Best for
Developers who want an MIT-licensed agent runtime they can recompose, and who will bring their own model keys.

Overview

DeepSeek Harness is a developer-preview agent runtime, announced August 13, 2026 alongside DeepSeek-V4-Pro. The official page and the GitHub repo use the same slogan: "Everything is a plugin." Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are described as swappable pieces on a Cordis kernel. License is MIT. The public repo is github.com/deepseek-ai/deepseek-harness.

Quick start from the vendor: npx @deepseek-ai/dsh web for a local UI, or clone and use pnpm. Modes listed in the preview include Standard, Code, Minimal, and Creator. Every run is supposed to leave an append-only event stream; Trajectory view is the replay and fork surface. V4-Pro launch coverage notes that some of the published Pro agent scores were run in Minimal mode — that is a vendor/press claim, not an independent bake-off.

This is infrastructure, not a hosted assistant. You still pay for whatever model you point it at. DeepSeek's own pairing is V4-Flash (high concurrency, lower price) and V4-Pro (harder agent tasks). It is the open-runtime counterpart to Claude Code or Codex, not a replacement for the DeepSeek API.

Keep the repo and deepseek.com/harness as the live pages. Star counts move daily; do not treat a screenshot of GitHub as a durable fact. Confirm the latest tag and the npx package name on the README before you paste a command into a tutorial.

Is DeepSeek Harness free?

Yes. DeepSeek Harness is free to use.

What the free tier covers: The runtime is free. Model tokens are billed by whichever API you configure.

Listed pricing: Free (MIT). Inference is whatever model you plug in — DeepSeek V4-Flash and V4-Pro are the vendor pairing.

Pricing verified . That is the date the plans were last re-checked against the vendor's own pages, not today's date. Confirm on the official site before you pay.

DeepSeek Harness pricing

Open source $0

MIT license, source on GitHub. You bring model keys. Developer preview (v0.1) as of August 13, 2026.

Pricing verified . That is the date the plans were last re-checked against the vendor's own pages, not today's date. Confirm on the official site before you pay.

Is DeepSeek Harness worth it?

Worth it for Developers who want an MIT-licensed agent runtime they can recompose, and who will bring their own model keys.

You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.

The 8.4/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with DeepSeek Harness. How we verify.

Worth it if

The strengths recorded against this entry.

  • MIT-licensed; you can read and fork the loop
  • Plugin model means you are not stuck on DeepSeek weights
  • Launched next to V4-Pro, so the vendor's own agent scores have a named runtime
  • Local npx path, no hosted lock-in for the runtime itself

Not worth it if

Any one of these blocks your use case.

  • Developer preview v0.1 as of August 13, 2026 — expect breakage
  • You still pay for inference, and you assemble the stack
  • Not a product with an SLA or a consumer UI beyond the local web mode
  • "Rival to Claude Code" is press framing, not a documented feature-parity claim

What sets DeepSeek Harness apart

  • Every capability is a plugin on the Cordis kernel
  • Append-only session logs with a Trajectory view for replay and fork
  • Standard, Code, Minimal, and Creator modes in the preview
  • Local npx start; no hosted lock-in for the runtime itself

Key features

Plugin architecture

Vendor description: every component (models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, UI) is a plugin on the Cordis meta-framework.

Traceable sessions

Append-only session logs. Trajectory view is documented for replay and fork.

Modes

Preview lists Standard, Code, Minimal, and Creator. Press notes that some V4-Pro agent benchmarks used Minimal mode.

Local quick start

npx @deepseek-ai/dsh web, or git clone plus pnpm, per the Aug 13 preview page.

How it compares

Compare head-to-head

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Related reading

Ready to try DeepSeek Harness?

Head to the official site to start with DeepSeek Harness — pricing and plans are listed above.

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