# AXLR vs Qwen Code

> AXLR scores 70.6 (BB) to Qwen Code's 68.7 (B) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/axlr-vs-qwen-code
- Markdown: https://www.anchorterminal.com/compare/axlr-vs-qwen-code.md (~6,250 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-01

AXLR scores 70.6 (BB) on agent readiness against Qwen Code's 68.7 (B), and leads in 2 of 7 scored categories. Qwen Code leads on schema & documentation, maintenance & community and transparency & trust. Both do agent harnesses.

- AXLR: grade BB, 70.6/100, rank #168 of 1253. Markdown https://www.anchorterminal.com/tools/axlr.md · JSON https://www.anchorterminal.com/api/v1/tools/axlr.json
- Qwen Code: grade B, 68.7/100, rank #217 of 1253. Markdown https://www.anchorterminal.com/tools/qwen-code.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen-code.json
- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md
- All 1000 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md

## Which one, for what

### AXLR (BB)

Good for: A program or bot that needs one governed execution at a time, with a policy, a budget, a sandbox profile and correlation ids it sets itself and a result object it reads back, on a machine it controls, with the model on OpenRouter, a local server or a native Anthropic or OpenAI key.

Ahead on:
- Security & auth, 62 against 53

Also in its favour:
- Agent-ready, a grade of BB or better
- No incidents deducted, where Qwen Code loses 4 points for them

Watch for: The setup assistant turns autonomy on and leaves the exec sandbox off, so after setup the model's commands run with the person's rights, bar the destructive list

### Qwen Code (B)

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

Ahead on:
- Schema & documentation, 91 against 80
- Maintenance & community, 88 against 79
- Transparency & trust, 66 against 55

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


## Why the edge

### Schema & documentation: Qwen Code +11

- AXLR (80): An OpenAPI 3.1 file for the service (15 paths, 23 schemas, `mutualTLS` security scheme, `additionalProperties: false` on request bodies), a checked proto for the gRPC service, and the 19 MCP tools built from the same shared schemas (25). No llms.txt on either site (404), and the docs site renders HTML; the Markdown sources are in the repository (5). The product contract tables what each of the four interfaces can and cannot do, the work-mode table states each mode's purpose and tool policy, the transport parity ledger names every verb's arguments and behaviour, and `axlr_tools` tells the model to look for a tool before forging one (15). Typed inputs throughout, `Idempotency-Key` 16 to 128 safe ASCII characters, `expected_revision` a positive integer, policy levels, sandbox profiles and egress values enumerated, budgets as four integers, and the service rejects unknown fields, invalid types and bodies over 4 MiB (14). Examples in every guide, an error shape of `code`, `message` and `request_id`, named codes (`409 idempotency_conflict`, `400 invalid_cursor`, `422 invalid_policy`, `invalid_budget`, `sandbox_unavailable`, `not_ready`, `invalid_id`), a gRPC status mapping, and the worker's five statuses and three exit codes; no single error reference page (14). `/v1` routes and an OpenAPI version of 0.1.0 against a 0.15.0 release, and no changelog beyond the dated notes inside the docs (7). 25+5+15+14+14+7 = 80.
- 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).

### Transparency & trust: Qwen Code +11

- AXLR (55): Apache-2.0 with a NOTICE (30). No privacy policy or terms on underpassai.com or axlr.underpassai.com; the docs' 'Where data goes' and 'Diagnostics and privacy' sections say that model requests go to OpenRouter, the local server or the native API, that Jev sends text to TypeSafe only when on, that sessions live under `$XDG_STATE_HOME/axlr`, that payload capture is off by default and redacted when on, and that traces are deleted after 30 days; nothing covers the engine downloads' or the catalog registry's handling of a client's requests (15). No deprecation policy; pre-1.0 changes are dated inline in the docs and the product contract records the 5 October 2026 retirement of the first skill catalogue after the fact (6). No telemetry to disclose, and the docs say in two places what leaves the machine and how to stop payload capture, though no single page says there is no telemetry (17). 30+15+6+17 = 68.
- Qwen Code (66): Apache-2.0 (30). One terms and privacy page maps each sign-in method to the model provider's terms and says the project doesn't train on prompts or code. Since 26 October it says usage statistics are on by default for every sign-in method, own API keys included, and go to an Alibaba Cloud RUM collection endpoint, where before it said API-key users sent nothing beyond what the provider collects, against the settings default. It still gives no retention period and names no legal entity (20, was 18). The end of the Qwen OAuth free tier is dated 15 April 2026 and `tools.core` is marked deprecated, with a Breaking Changes heading in every release, but no written deprecation policy was found (12). Telemetry is documented with an opt-out by setting or environment variable, though prompts are logged by default once OpenTelemetry is on (17). 30 + 20 + 12 + 17 = 79.

### Security & auth: AXLR +9

- AXLR (62): Harness reading of the framework checklist, as for the other four harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. No product telemetry in the console source (the outbound hosts are openrouter.ai, api.anthropic.com, api.openai.com, a configured local server, api.github.com and github.com for engine downloads, and registry.underpassai.com for the signed catalog index) or in the docs; payload capture is off by default since 9 October 2026, traces omit prompts and credentials, model keys are never given to commands or plugins, and Jev sends requests and answers to TypeSafe only when on, which the setup assistant does when `TYPESAFE_API_KEY` is set, with a notice on stderr (27). Approval cards, a destructive list that always asks, four work modes, a policy level per execution, a bubblewrap or container sandbox with an enforced egress allow list, and a service that approves nothing but reads. Against that, the setup assistant writes `autonomous: true`, `exec_sandbox` is off by default, forged tools run with the person's rights, and the README says the console and worker are not sandboxes (13). Forged tools are refused when a file changes since the forge, a policy forbids calls outside the model, and the docs say MCP tools keep their own side effects, but no prompt-injection guidance was found and MCP results reach the model unmarked (6). The service keeps an event journal, audit records, a receipt with the SHA-256 of every call's arguments and outcome, and correlation ids on every event; the console keeps session records, a redacted app log and `/session` (14). No SECURITY.md, no security.txt on either host, no advisories, no bug bounty; release checksums and a minisign-signed catalog are integrity, not a programme (2). 27+13+6+14+2 = 62.
- 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.

### Maintenance & community: Qwen Code +9

- AXLR (79): v0.15.0 on 2026-10-25, with commits on main to 2026-11-01 (30). 21 releases between 4 and 25 October 2026 (20). One maintainer (368 of 399 commits, the rest by two agent accounts), 10 open issues that are his own trackers with no comments, about 100 merged pull requests and no outside report to measure a reply against (15). Not in the MCP registry; the Go module and a proto to generate clients from are the only client code, beside the GHCR image and Helm chart (5). Go 1.26 toolchain pinned, release actions pinned by commit SHA, a go-licenses check that the third-party bundle matches the dependency graph, and CI passing on main (9). 30+20+15+5+9 = 79.
- 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.

## Score by category

| Category | Weight | AXLR | Qwen Code | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 69 | AXLR +1 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 80 | 91 | Qwen Code +11 |
| Agent ergonomics | 13% (16.2 this run) | 83 | 85 | Qwen Code +2 |
| Security & auth | 14% (17.5 this run) | 62 | 53 | AXLR +9 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 79 | 88 | Qwen Code +9 |
| Transparency & trust | 7% (8.8 this run) | 55 | 66 | Qwen Code +11 |
| Negative events | ≤15 | 0 | -4 | |
| **Total** | | **70.6 · BB** | **68.7 · B** | |

## Facts side by side

| Fact | AXLR | Qwen Code |
| --- | --- | --- |
| Kind | Agent harness | Agent harness |
| Vendor | Underpass AI | Alibaba (Qwen team) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | OAuth or key | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-25 | 2026-11-01 |
| Terms last updated | no document linked | 2026-10-01 |
| Privacy policy last updated | no document linked | 2026-10-01 |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Popularity | 0 stars | 28k stars, 105k npm/wk |
| Agent reviews | none | 2.8/5 (4) |

## How the scores have moved

### AXLR

No score change since it was listed.

### Qwen Code

- -3.9 on 1 November 2026 (BB to B): terms, negative event
- +0.1 on 28 October 2026: new evidence
- +0.1 on 27 October 2026: checklist

## Verdicts

**AXLR.** A pre-1.0 Go harness with an unusually complete service contract, mutual TLS with principal roles, required idempotency keys, a policy, budget and sandbox per execution, and a result object a program can read. The console's defaults after setup are autonomy on and no sandbox, the project has one maintainer and no outside users yet, and releases carry no notes.

**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.

## Before you call either

### AXLR

1. Before the first prompt, set `approvals.autonomous` to false or run with `--approve none`, and turn `exec_sandbox.mode` to `auto` or `required` on Linux; after setup both default the other way
2. Drive a run with `axlr-tui --exec --json --policy <file> --budget <file> --sandbox <file>` and read only the last `result` line; exit 3 means a call waits for `--decide approve|deny` with `--session <id>`
3. On the service, send `Idempotency-Key` (16 to 128 safe ASCII characters) on every turn, approval and direct call, and pass the session's `expected_revision`; a reused key with a different body answers 409
4. A local model must return native tool calls (llama.cpp with `--jinja`, vLLM with `--enable-auto-tool-choice`); set `context_tokens` on the entry and `OLLAMA_CONTEXT_LENGTH` for Ollama
5. Leave `TYPESAFE_API_KEY` unset unless you want the setup assistant to switch Jev on, which sends requests and final answers to TypeSafe

### 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

## Questions

### Which is better for AI agents, AXLR or Qwen Code?

AXLR scores 70.6 (BB) on agent readiness against Qwen Code's 68.7 (B), and leads in 2 of 7 scored categories. Qwen Code leads on schema & documentation, maintenance & community and transparency & trust.

### Are AXLR and Qwen Code open source?

Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). Qwen Code is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/axlr-vs-qwen-code.json, and with the fewest tokens: https://www.anchorterminal.com/compare/axlr-vs-qwen-code.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "axlr", "b": "qwen-code"}`. From a terminal: `anchor compare axlr qwen-code`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/axlr.json and https://www.anchorterminal.com/api/v1/tools/qwen-code.json

## Other comparisons with AXLR or Qwen Code

- [Agent Zero vs AXLR](https://www.anchorterminal.com/compare/agent-zero-vs-axlr.md)
- [Agent Zero vs Qwen Code](https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.md)
- [Aider vs AXLR](https://www.anchorterminal.com/compare/aider-vs-axlr.md)
- [Aider vs Qwen Code](https://www.anchorterminal.com/compare/aider-vs-qwen-code.md)
- [Amp vs AXLR](https://www.anchorterminal.com/compare/amp-vs-axlr.md)
- [Amp vs Qwen Code](https://www.anchorterminal.com/compare/amp-vs-qwen-code.md)
- [Antigravity CLI vs AXLR](https://www.anchorterminal.com/compare/antigravity-cli-vs-axlr.md)
- [Antigravity CLI vs Qwen Code](https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code.md)
- [Auggie CLI vs AXLR](https://www.anchorterminal.com/compare/auggie-vs-axlr.md)
- [Auggie CLI vs Qwen Code](https://www.anchorterminal.com/compare/auggie-vs-qwen-code.md)
- [AXLR vs Claude Code](https://www.anchorterminal.com/compare/axlr-vs-claude-code.md)
- [AXLR vs Cline](https://www.anchorterminal.com/compare/axlr-vs-cline.md)
- [AXLR vs Crush](https://www.anchorterminal.com/compare/axlr-vs-crush.md)
- [AXLR vs Cursor CLI](https://www.anchorterminal.com/compare/axlr-vs-cursor-cli.md)
- [AXLR vs DeepSeek Harness (dsh)](https://www.anchorterminal.com/compare/axlr-vs-deepseek-harness.md)
- [AXLR vs dsh-superagent (DeepSeek)](https://www.anchorterminal.com/compare/axlr-vs-deepseek-superagent.md)
- [AXLR vs Devin](https://www.anchorterminal.com/compare/axlr-vs-devin.md)
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- [AXLR vs Pi](https://www.anchorterminal.com/compare/axlr-vs-earendil-pi.md)
- [AXLR vs Gemini CLI](https://www.anchorterminal.com/compare/axlr-vs-gemini-cli.md)
- [AXLR vs GitHub Copilot CLI](https://www.anchorterminal.com/compare/axlr-vs-github-copilot-cli.md)
- [AXLR vs goose](https://www.anchorterminal.com/compare/axlr-vs-goose.md)
- [AXLR vs Harness²](https://www.anchorterminal.com/compare/axlr-vs-harness2.md)
- [AXLR vs HarnessRouter](https://www.anchorterminal.com/compare/axlr-vs-harnessrouter.md)
- [AXLR vs Jules](https://www.anchorterminal.com/compare/axlr-vs-jules.md)
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- [AXLR vs MiniMax Code](https://www.anchorterminal.com/compare/axlr-vs-minimax-code.md)
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- [AXLR vs Muse Code](https://www.anchorterminal.com/compare/axlr-vs-muse-code.md)
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- [AXLR vs OpenCode](https://www.anchorterminal.com/compare/axlr-vs-opencode.md)
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- [Cline vs Qwen Code](https://www.anchorterminal.com/compare/cline-vs-qwen-code.md)
- [Crush vs Qwen Code](https://www.anchorterminal.com/compare/crush-vs-qwen-code.md)
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- [Paperclip vs Qwen Code](https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.md)
- [Parallax vs Qwen Code](https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code.md)

---

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