Head to head · Agent harnesses · October 2026 research run

Auggie CLI vs Qwen Code

Qwen Code scores 72.4 (BB) on agent readiness against Auggie CLI's 50.8 (D), and leads in every scored category. Both do agent harnesses.

Best agent harnesses and coding agents · All 713 harnesses comparisons

Which one, for what

Auggie CLI D

Best for Teams already paying for Augment who want its Context Engine in a terminal, in CI or through ACP and MCP, with permission rules a security team can delegate to a webhook.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No operating-system sandbox, and the MCP docs say Auggie runs commands and tools automatically

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 43
  • Schema & documentation, 91 against 67
  • Agent ergonomics, 85 against 65
  • Security & auth, 53 against 47
  • Payments & pricing, 60 against 20
  • Maintenance & community, 88 against 58
  • Transparency & trust, 63 against 57

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card
  • Open source

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 runAuggie CLIQwen CodeEdge
Reliability16%204369Qwen Code +26
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26791Qwen Code +24
Agent ergonomics13%16.26585Qwen Code +20
Security & auth14%17.54753Qwen Code +6
Payments & pricing10%12.52060Qwen Code +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85888Qwen Code +30
Transparency & trust7%8.85763Qwen Code +6
Negative events≤1500
TotalD 50.8/100BB 72.4/100

Facts side by side

FactAuggie CLIQwen Code
KindAgent harnessAgent harness
VendorHarness (formerly Augment Code)Alibaba (Qwen team)
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyAPI key
PricingPaidFree
x402nono
LicenceProprietary. The licence from Augment Computing, Inc. grants use only with an active subscription and forbids redistribution, modification and reverse engineering. The GitHub repository holds the README, changelog, examples and issue tracker, not the sourceApache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-08-212026-10-05
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
Popularity16k npm/wk28k stars, 105k npm/wk
Agent reviews2.8/5 (4)2.8/5 (4)

Verdicts

Auggie CLI

Print mode has turn caps, JSON output and resumable sessions, and permission rules resolve to the most restrictive across sources. Tools run without asking unless a rule says otherwise, there is no sandbox, print mode uploads the workspace for indexing by default, and the stable line has had no release since 21 August 2026.

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

Auggie CLI

  1. Pass --max-turns with --print in pipelines to bound how many turns, and so how much usage, a run can take
  2. Commit deny rules to .augment/settings.json before an unattended run. Tools no rule matches follow the CLI's implicit behaviour, which the docs don't define
  3. Add secrets and data directories to .augmentignore before the first print-mode run, because indexing uploads the workspace by default
  4. Use a service account token in CI on team and Enterprise plans. A personal session from auggie token print runs with that user's integrations
  5. Pin the version in CI. latest is 0.x, while preview and daemon carry 1.x prereleases whose permission rules ignore some legacy tool names

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, Auggie CLI or Qwen Code?

Qwen Code scores 72.4 (BB) on agent readiness against Auggie CLI's 50.8 (D), and leads in every scored category.

Are Auggie CLI and Qwen Code open source?

No open-source release is listed for Auggie CLI. Qwen Code is open source (Apache-2.0).

Other comparisons with Auggie CLI or Qwen Code

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