Head to head · Multi-agent orchestration · October 2026 research run

DeepSeek Harness (dsh) vs Harness

Harness scores 60.3 (C) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 5 of 7 scored categories. DeepSeek Harness (dsh) leads on payments & pricing and maintenance & community. Both do multi-agent orchestration.

Best agent harnesses and coding agents · All 713 harnesses comparisons

Which one, for what

DeepSeek Harness (dsh) D

Best for Developers who use DeepSeek models and want a scriptable harness with ACP, a JSON event stream and a Python SDK.

Ahead on

  • Payments & pricing, 60 against 40
  • Maintenance & community, 71 against 60

Watch for

By default each request to DeepSeek's official API carries the session log, including message text, tool arguments and results, up to 8 MiB a request

Harness C

Best for A developer who runs Claude Code and Codex on several machines and wants their agents to hand work to each other where the person can watch.

Ahead on

  • Schema & documentation, 85 against 77
  • Agent ergonomics, 82 against 68
  • Security & auth, 57 against 40
  • Transparency & trust, 68 against 50

Also in its favour

  • Runs on your own machine
  • No incidents deducted, where DeepSeek Harness (dsh) loses 6 points for them

Watch for

Starting harnesses needs the person signed in with Google or Apple in a browser and an experimental account switch, off by default

Score by category

CategoryWeight this runDeepSeek Harness (dsh)HarnessEdge
Reliability16%203335Harness +2
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27785Harness +8
Agent ergonomics13%16.26882Harness +14
Security & auth14%17.54057Harness +17
Payments & pricing10%12.56040DeepSeek Harness (dsh) +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87160DeepSeek Harness (dsh) +11
Transparency & trust7%8.85068Harness +18
Negative events≤15-60
TotalD 49.2/100C 60.3/100

Facts side by side

FactDeepSeek Harness (dsh)Harness
KindAgent harnessAgent harness
VendorDeepSeekAutonomous, Inc.
Hosted endpointno (local only)no (local only)
Transportsstdio
AuthAPI keyOAuth
PricingFreeFree
x402nono
LicenceMITMIT
Tools exposednone7
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-172026-10-17
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity245k npm/wk1.3k stars
Agent reviews3/5 (4)3/5 (4)

Verdicts

DeepSeek Harness (dsh)

Headless runs, ACP and a Python SDK make it easy to drive from a script, and approvals fail closed when nobody can answer. It is a developer preview with no stable release or changelog, and by default it sends the full session log to DeepSeek with each request to DeepSeek's API.

Harness

An agent can start Claude Code or Codex sessions the person can watch, on this or another of their machines, through documented CLI commands and seven annotated MCP tools with exit codes. Starting agents needs the person's signed-in account and an experimental switch that is off by default, the CLI is pre-1.0, and usage counts are shared by default.

Before you call either

DeepSeek Harness (dsh)

  1. Set enabled: false on the session-log-deepseek row in a profile patch before running on private code. Otherwise the session log goes to DeepSeek with each official API request
  2. Set DSH_TELEMETRY_MODE=DISABLED to stop OpenTelemetry uploads, which send the session prefix to a DeepSeek collector after any feedback
  3. Treat exit code 1 and the turn_end reason as failure. A --json stream can end with a final event for a failed run
  4. Run in a disposable container or VM. The sandbox doesn't confine reads or network, and SAFETY.md says the project has had no security audit
  5. Pin the version. npm latest (0.2.0-rc.2) and next (0.2.1-rc.2) differ, DeepSeek's changelog asks for 0.2.1-rc.1 or later, and the README warns of breaking changes

Harness

  1. Run harness whoami first. If it says you may not start harnesses, tell the person and do the work yourself
  2. Ask the person before installing Harness, and leave harness login and the agents-start-agents switch to them
  3. Treat exit 5 as final and do not retry. Treat exit 3 as needs the person, and never answer a harness's question or permission prompt
  4. Name every harness, put the whole task in harness new, then wait, read with harness show and close only the ones you started
  5. Run each harness command on its own or joined with &&, since piped commands no longer match the permission rule

Questions

Which is better for AI agents, DeepSeek Harness (dsh) or Harness?

Harness scores 60.3 (C) on agent readiness against DeepSeek Harness (dsh)'s 49.2 (D), and leads in 5 of 7 scored categories. DeepSeek Harness (dsh) leads on payments & pricing and maintenance & community.

Are DeepSeek Harness (dsh) and Harness open source?

Yes. DeepSeek Harness (dsh) is open source (MIT). Harness is open source (MIT).

Other comparisons with DeepSeek Harness (dsh) or Harness

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