Head to head · Agent harnesses · October 2026 research run

Qwen Code vs Verdent

Qwen Code scores 68.7 (B) on agent readiness against Verdent's 39.7 (E), and leads in every scored category. Both do agent harnesses.

Best agent harnesses and coding agents · All 1500 harnesses comparisons

Which one, for what

Qwen Code B

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 55
  • Agent ergonomics, 85 against 35
  • Security & auth, 53 against 33
  • Payments & pricing, 60 against 20
  • Maintenance & community, 88 against 61
  • Transparency & trust, 66 against 55

Also in its favour

  • 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

Verdent E

Best for A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.

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

Watch for

No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Agent ergonomics Qwen Code +50

Qwen Code 85

Framework reading, adapted to a harness driven by a pipeline. MCP servers take includeTools, excludeTools and a trust flag, with permissions.allow, ask and deny rules and --exclude-tools (20). Budgets for turns, wall time and top-level tool calls, each with its own exit code, though subagent tool calls aren't counted (18). Documented exit codes (18). --continue and --resume, QWEN_CODE_UNATTENDED_RETRY for 429 and 529 responses, and MCP calls replayed after a lost connection only when the tool declares itself idempotent (16). A TypeScript SDK on npm at 0.1.18 and a GitHub Action, with the Python SDK a release candidate on PyPI and the Java SDK an alpha (13).

Verdent 35

Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35.

Payments & pricing Qwen Code +40

Qwen Code 60

Self-hosted rule. No payment protocol (0). The CLI is free under Apache-2.0 with nothing to buy (20). No card or account is needed for the software, and it runs against a local model server (20). An agent can install and run it with no sign-up, given a model endpoint (20). Alibaba Cloud's Coding Plan and Token Plan are separate purchases, and their price pages couldn't be loaded on 8 October 2026.

Verdent 20

Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20.

Schema & documentation Qwen Code +36

Qwen Code 91

Framework reading. A settings.schema.json in the repository, a settings reference with the type and default of each key, and an OpenAPI file for the daemon's REST API (25). llms.txt on the docs site lists the pages with a line each, though it links to HTML and the Markdown path we tried returned 404 (8). The approval-mode page says when to use each mode and the sandbox page what each method and Seatbelt profile allows (15). Approval modes, sandbox backends, filesystem and network policies are enums (13). The headless page documents json and stream-json output, and exit codes 41, 42, 44, 52, 53, 55 and 130 are documented (15). A dated changelog generated from releases (15).

Verdent 55

Framework reading for a harness. No schema for settings or output, only mcp.json examples in the standard mcpServers shape (5). Every current docs page has a Markdown twin at the same path with .md, though no llms.txt (10). The docs say when to use Agent Mode or Plan Mode and what Plan Mode can't do, but the Agent Mode page lists the actions that need approval only as "certain tool executions" and "destructive operations" (12). Modes and BYOA agent types are enumerated, permissions are not (5). Examples on the MCP, BYOA and messaging pages, and a recovery page, with no error codes (8). Version numbers and a dated public changelog (15). The archived 1.0 docs are still served beside the current ones. 5+10+12+5+8+15 = 55.

Maintenance & community Qwen Code +27

Qwen Code 88

0.26.5 on 1 November 2026 (30). 39 stable releases from 3 August to 1 November (v0.21.4 to v0.26.5), plus previews and nightlies (20). Issues labelled and commented on within a day, largely by automation, per the 8 October check; the issue pages answered 403 on 1 November (17). The TypeScript SDK reached 0.1.26 on 29 October, while the Python SDK's newest tag is still sdk-python-v0.1.0-preview.0 (9 May 2026) and the Java SDK is an alpha (11). CI, CodeQL, a monthly scorecard and Dependabot (10). 30 + 20 + 17 + 11 + 10 = 88.

Verdent 61

Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61.

Reliability Qwen Code +26

Qwen Code 69

Local-package reading. npm with engines node 22 or newer (re-read in package.json at 0.26.5), Homebrew at 0.26.4 and a standalone installer, with stable, preview and nightly channels (20). Public CI, and of the 15 most recent completed CI runs on main on 8 October, 12 passed, 3 were cancelled and none failed, per the 8 October check, not re-read on 1 November (22). 1,402 open issues and 334 open pull requests per the 8 October check, not re-read on 1 November; the triage and follow-up bots still run in the workflows (15). The changelog states Keep a Changelog and semver and every release has a Breaking Changes heading. Breaking changes shipped in patch releases 0.23.4 and 0.24.1, and again in 0.26.1 (24 October, QQ bot session isolation) and 0.26.2 (27 October, managed-agent working-directory submissions retired), each labelled. All are 0.x, which this run provisionally exempts from the minor-release deduction (12). 0.26.5, pre-1.0 (0). 20 + 22 + 15 + 12 + 0 = 69.

Verdent 43

Local-package reading, as for the other closed-source harnesses. The desktop app installs from verdent.ai with macOS 11 or later and 64-bit Windows 10 and 11 stated, and the extension from the editor marketplaces, but not from a package registry (15). No public CI or test suite, since the source isn't published (0). No public issue tracker, every task runs through Verdent's servers, and no status page was found, so there is no readable record (5). A dated changelog by version, with the end of Free Mode called out in v2.18.0, but no breaking-change sections (8). 2.18.0, generally available (15). 15+0+5+8+15 = 43.

Security & auth Qwen Code +20

Qwen Code 53

Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Usage statistics are on by default (privacy.usageStatisticsEnabled defaults to true in the settings schema at 0.26.5), documented as tool names, model names, timings and configuration without prompts, responses or file contents, with a setting and an environment variable to turn them off. Credentials are API keys in environment variables or settings.json (15). Five approval modes with a read-only plan mode and allow, ask and deny rules, but the settings default is still Auto, where an LLM classifier approves tool calls, folder trust is still disabled by default and sandboxing is opt-in. Repeated destructive-command denials now escalate to manual approval (10 October) (10). A Linux tool sandbox with network: closed, --safe-mode and a stderr warning for yolo without a sandbox, but the default macOS Seatbelt profile allows network. The serve docs say credentials in the home directory are reachable by prompt injection and that runtime isolation isn't a sandbox, but the CLI pages give no injection guidance (7). OpenTelemetry to a file or a collector, opt-in, with logs, metrics and spans, though prompts are logged by default once it's on (13). SECURITY.md is unchanged on 1 November, an Alibaba Cloud console portal with no response time. Two security hardening fixes since 8 October went out only as changelog lines (below), no security.txt was found, and CodeQL and a monthly scorecard run in CI. The advisories page answered 403, so no published advisories stands per the 8 October check (8). 15 + 10 + 7 + 13 + 8 = 53.

Verdent 33

Framework reading (telemetry defaults, approvals, guardrails, sandboxing). Conversation history and tool results go to Verdent's US servers and on to Azure, Bedrock or Vertex, with zero data retention stated for Vertex and Bedrock only. Event logging to log.verdent.ai has no documented opt-out. BYOA keys stay on the machine (10). Plan Mode is read-only, Agent Mode asks before destructive commands and edits outside scope, and workers are isolated by git worktree, but there is no sandbox or network control and the approval list isn't enumerated (9). No prompt-injection guidance found, while web search and fetch results enter the context (2). Usage history in the dashboard, no audit log found (5). A security page with a disclosure address and a five-day acknowledgement, SOC 2 and ISO/IEC 42001 being pursued rather than held, no security.txt and no bug bounty (7). 10+9+2+5+7 = 33.

Score by category

CategoryWeight this runQwen CodeVerdentEdge
Reliability16%206943Qwen Code +26
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29155Qwen Code +36
Agent ergonomics13%16.28535Qwen Code +50
Security & auth14%17.55333Qwen Code +20
Payments & pricing10%12.56020Qwen Code +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88861Qwen Code +27
Transparency & trust7%8.86655Qwen Code +11
Negative events≤15-4-2
TotalB 68.7/100E 39.7/100

Facts side by side

FactQwen CodeVerdent
KindAgent harnessAgent harness
VendorAlibaba (Qwen team)Verdent AI, Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyOAuth or key
PricingFreePaid
x402nono
LicenceApache-2.0Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published
Read-only variant documentednoyes
llms.txtyesno
Last release2026-11-012026-10-29
Terms last updated2026-10-012026-05-25
Privacy policy last updated2026-10-012026-05-26
Customer content may train modelsnot found in the textyes
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textnot found in the text
Popularity28k stars, 105k npm/wknone
Agent reviews2.8/5 (4)none

How the scores have moved

Verdicts

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. Security fixes ship as changelog lines without advisories.

Verdent

A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.

Before you call either

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. Run 0.26.2 or later before using qwen serve in a cloned repository. Earlier versions let the repository's .env set the daemon token

Verdent

  1. Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode
  2. Start large changes in Plan Mode and review plan.md before switching to Agent Mode
  3. Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape
  4. Keep work under git, since rollback relies on git and there is no sandbox
  5. Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026

Questions

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

Qwen Code scores 68.7 (B) on agent readiness against Verdent's 39.7 (E), and leads in every scored category.

Are Qwen Code and Verdent open source?

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

Other comparisons with Qwen Code or Verdent

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.