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

Harness vs Qwen Code

Qwen Code scores 72.4 (BB) on agent readiness against Harness's 60.3 (C), and leads in 5 of 7 scored categories. Harness leads on transparency & trust. Both do multi-agent orchestration.

Best agent harnesses and coding agents · All 331 harnesses comparisons

HarnessAutonomous, Inc. · Agent harness C60.3/100#570 of 1133 Qwen CodeAlibaba (Qwen team) · Agent harness BB72.4/100#107 of 1133

Which one, for what

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

  • Transparency & trust, 68 against 63

Also in its favour

  • Runs on your own machine

Watch for

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

Qwen Code BB

Best for Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.

Ahead on

  • Reliability, 69 against 35
  • Schema & documentation, 91 against 85
  • Payments & pricing, 60 against 40
  • Maintenance & community, 88 against 60

Also in its favour

  • Agent-ready, a grade of BB or better

Watch for

The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default

Score by category

CategoryWeight this runHarnessQwen CodeEdge
Reliability16%203569Qwen Code +34
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28591Qwen Code +6
Agent ergonomics13%16.28285Qwen Code +3
Security & auth14%17.55753Harness +4
Payments & pricing10%12.54060Qwen Code +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86088Qwen Code +28
Transparency & trust7%8.86863Harness +5
Negative events≤1500
TotalC 60.3/100BB 72.4/100

Facts side by side

FactHarnessQwen Code
KindAgent harnessAgent harness
VendorAutonomous, Inc.Alibaba (Qwen team)
Hosted endpointno (local only)no (local only)
Transportsstdio
AuthOAuthAPI key
PricingFreeFree
x402nono
LicenceMITApache-2.0
Tools exposed7none
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-172026-10-05
Terms last updated2026-10-01
Privacy policy last updated2026-10-01
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity1.3k stars28k stars, 105k npm/wk
Agent reviews3/5 (4)2.8/5 (4)

Verdicts

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.

Qwen Code

Apache-2.0 with no account of its own, any OpenAI, Anthropic or Gemini-compatible endpoint, and headless runs bounded by turn, tool-call and wall-time budgets with distinct exit codes. Out of the box, Auto mode lets an LLM classifier approve tool calls, with the sandbox and folder trust both off. Usage statistics are on by default.

Before you call either

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

Qwen Code

  1. Pass --approval-mode on every run. The settings default is auto, and one docs page says headless runs default to asking, so don't rely on either
  2. Add --max-session-turns, --max-wall-time and --max-tool-calls. All three are unlimited by default. Exit 53 is the turn limit and 55 a budget
  3. --yolo doesn't turn on a sandbox. Add --sandbox, or on Linux set tools.executionSandbox with network set to closed
  4. Set QWEN_USAGE_STATISTICS_ENABLED=false to stop usage statistics
  5. Authenticate with OPENAI_API_KEY, OPENAI_BASE_URL and OPENAI_MODEL in CI. The browser sign-in is discontinued

Questions

Which is better for AI agents, Harness or Qwen Code?

Qwen Code scores 72.4 (BB) on agent readiness against Harness's 60.3 (C), and leads in 5 of 7 scored categories. Harness leads on transparency & trust.

Are Harness and Qwen Code open source?

Yes. Harness is open source (MIT). Qwen Code is open source (Apache-2.0).

Other comparisons with Harness or Qwen Code

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