{ "data": { "a": { "slug": "qwen-code", "name": "Qwen Code", "vendor": "Alibaba (Qwen team)", "vendorUrl": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/", "kind": "harness", "category": "agent-harnesses", "summary": "Open-source coding agent from Alibaba's Qwen team for the terminal, with desktop, browser and editor interfaces. It runs Qwen, OpenAI, Anthropic and Gemini-compatible models or a local one, and runs headless with `qwen -p`.", "url": "https://www.anchorterminal.com/tools/qwen-code", "markdownUrl": "https://www.anchorterminal.com/tools/qwen-code.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwen-code.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwen-code.json", "dns": "qwen-code.grade.anchorterminal.com", "repo": "https://github.com/QwenLM/qwen-code", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "@qwen-code/qwen-code" }, { "registry": "npm", "name": "@qwen-code/sdk" }, { "registry": "pypi", "name": "qwen-code-sdk" }, { "registry": "oci", "name": "ghcr.io/qwenlm/qwen-code" } ], "auth": "api-key", "authNotes": "No account of its own. A model key goes in an environment variable or `~/.qwen/settings.json`, for Alibaba Cloud Model Studio (Coding Plan, Token Plan or a standard key), a listed third-party provider, or any OpenAI, Anthropic or Gemini-compatible endpoint including a local server. Vertex AI credentials also work. The Qwen OAuth sign-in was discontinued on 15 April 2026.", "pricing": "free", "pricingNotes": "Free and Apache-2.0, with nothing to buy for the CLI. The owner pays the model provider, or nothing with a local model. The Qwen OAuth free tier ended on 15 April 2026. Alibaba Cloud sells a fixed-fee Coding Plan and a usage-billed Token Plan for it, and we couldn't load their price pages on 8 October 2026.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 28362, "npmWeekly": 104819, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/", "llmsTxt": "https://qwenlm.github.io/qwen-code-docs/llms.txt", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "official", "harness", "coding-agent", "cli", "open-source", "typescript", "mcp", "llms-txt", "telemetry-default-on", "pre-1.0", "free", "no-card", "local", "docker" ], "lastRelease": "2026-11-01", "graded": true, "anchor": { "graded": true, "score": 68.7, "grade": "B", "agentReady": false, "rank": 273, "ranked": true, "rankOf": 1486, "categoryRank": 7, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -4, "negativeNotes": [ "2026-10-27. 0.26.2 stopped a cloned repository from setting the `qwen serve` daemon's bearer token. Before it, a project `.env`, `.qwen/.env` or workspace `settings.env` could preset `QWEN_SERVER_TOKEN`, the credential guarding a daemon that runs code as the user (commit 2c0c9fa, 24 October, with tests). Fixed in a release, documented only as the changelog line \"harden serve token resolution against project env injection\" with no advisory, -2, as kilo-code-cli's changelog-only MCP prompt fix and docker-agent's fixed skill-file command execution took. 0.25.3's fix stopping `@{...}` file content from being read as `!{...}` shell expressions in custom commands isn't deducted, since its own design note says the expression still reached the permission check. https://github.com/QwenLM/qwen-code/commit/2c0c9fa8dc4a8ea5ec688060549e0ff0aed717b4", "2026-10-26. Until then the terms and privacy page said that with your own API key \"No additional data is collected by Qwen Code beyond what your chosen API provider collects\", and that Vertex AI users sent nothing beyond Google Cloud, while usage statistics were on by default for every sign-in method and the source sent them to an Alibaba Cloud RUM endpoint (at 0.25.0, among others). The settings reference documented the default, so a misleading claim rather than undisclosed telemetry, corrected by commit 338f133 on 26 October, -2, as openmausbot's privacy policy against its default-on analytics took. https://github.com/QwenLM/qwen-code/commit/338f13366c1d86e586f7e0785942740da3503887" ], "verdict": "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.", "bestFor": "Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.", "strengths": [ "Apache-2.0, with a release most weeks (39 stable from 3 August to 1 November 2026) and CodeQL and a monthly scorecard in CI", "Headless `qwen -p` with json and stream-json output, and exit codes 53 for the turn limit and 55 for a wall-time or tool-call budget", "Works with any OpenAI, Anthropic or Gemini-compatible endpoint, including a local server, with keys set by environment variable", "Every release has a Breaking Changes heading in a generated changelog", "A Linux tool sandbox (Bubblewrap or Landlock) with `network: closed`, plus Seatbelt, Docker and Podman" ], "weaknesses": [ "The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default", "Usage statistics are on by default for every sign-in method and go to an Alibaba Cloud endpoint", "SECURITY.md points only to an Alibaba Cloud console portal, and the 27 October serve-token fix shipped with no advisory", "Pre-1.0 at 0.26.5, with breaking changes in patch releases such as 0.24.1, 0.26.1 and 0.26.2", "The Qwen OAuth free tier ended on 15 April 2026, so every run needs a paid key or a local model" ], "agentNotes": [ "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", "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", "`--yolo` doesn't turn on a sandbox. Add `--sandbox`, or on Linux set `tools.executionSandbox` with `network` set to `closed`", "Set `QWEN_USAGE_STATISTICS_ENABLED=false` to stop usage statistics", "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" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68.7 } ], "editorialScores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 79 }, "provenanceScore": 52, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install -g @qwen-code/qwen-code@latest # or: brew install qwen-code", "headless": { "command": "qwen -p \"$TASK\" --output-format json --approval-mode auto-edit --max-session-turns 30 --max-wall-time 10m", "env": { "OPENAI_API_KEY": "\u003ckey\u003e", "OPENAI_BASE_URL": "\u003cendpoint\u003e", "OPENAI_MODEL": "\u003cmodel\u003e", "QWEN_USAGE_STATISTICS_ENABLED": "false" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/qwen-code" }, "area": "frameworks", "provenance": { "legalEntity": "Qwen team, Alibaba Group (no legal entity is named in the repository or the docs)", "domain": "qwenlm.github.io", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "privacy": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "statusPage": "", "changelog": "https://github.com/QwenLM/qwen-code/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The project's own Terms of Service and Privacy Notice is one page. It covers usage statistics and the Chrome extension, and maps each sign-in method to the model provider's terms and privacy policy. The project publishes no separate privacy policy for the CLI, so both fields point at that page.", "The LICENSE file carries Copyright 2025 Google LLC and Copyright 2025 Qwen. The docs describe the project as Alibaba's, and SECURITY.md sends reports to an Alibaba Cloud console portal.", "The docs are on GitHub Pages. qwen.ai returned its application page for /.well-known/security.txt, so no security.txt was found. alibabacloud.com couldn't be reached from our network on 8 October 2026.", "The qwen.ai terms and privacy pages render only with JavaScript and weren't read." ], "score": 52 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwen-code.json", "live": { "slug": "qwen-code", "versions": [ { "registry": "github", "name": "QwenLM/qwen-code", "version": "v0.26.9", "released": "2026-11-06", "seenAt": "2026-11-06T23:59:52.522963032Z" }, { "registry": "npm", "name": "@qwen-code/qwen-code", "version": "0.26.9", "seenAt": "2026-11-06T23:59:50.066745146Z" }, { "registry": "npm", "name": "@qwen-code/sdk", "version": "0.1.29", "seenAt": "2026-11-06T23:59:50.279256905Z" }, { "registry": "pypi", "name": "qwen-code-sdk", "version": "0.1.0rc0", "released": "2026-05-09", "seenAt": "2026-11-06T23:59:52.271015649Z" } ], "githubStars": 29054, "npmWeekly": 136598, "pypiWeekly": 5372, "securityTxt": { "url": "https://qwenlm.github.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:36.489155319Z" }, "llmsTxt": { "url": "https://qwenlm.github.io/qwen-code-docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:42.92640076Z" }, "domain": { "domain": "github.io", "checkedAt": "2026-11-01T14:18:40.30630652Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/QwenLM/qwen-code/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:19:11.180719819Z", "changedAt": "2026-11-07T14:19:11.180719819Z", "fingerprint": "d8592db57e74" }, { "url": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:17:49.894633355Z", "changedAt": "2026-11-06T13:39:28.661098016Z", "fingerprint": "cd59d894c85b" } ], "github": { "repo": "qwenlm/qwen-code", "checkedAt": "2026-11-02T09:20:00.147588033Z", "stars": 28875, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T09:15:07Z", "openIssues": 1640, "openPRs": 441, "issuesOpened90d": 2937, "issuesClosed90d": 1934, "prsMerged90d": 3654, "ci": { "branch": "main", "runs": 50, "success": 44, "failure": 0, "other": 6, "latest": "success", "latestAt": "2026-11-02T09:15:10Z" } }, "updatedAt": "2026-11-07T16:00:36.489155319Z" } }, "answer": "Qwen Code scores 68.7 (B) on agent readiness against Traycer's 57 (C), and leads in every scored category.", "b": { "slug": "traycer", "name": "Traycer", "vendor": "Traycer AI", "vendorUrl": "https://traycer.ai", "kind": "harness", "category": "agent-harnesses", "summary": "Traycer is an open-source orchestration app that runs coding agents you already pay for, or its own inference, in parallel with shared context across models, agent-to-agent messaging, shareable boards and cross-device sync.", "url": "https://www.anchorterminal.com/tools/traycer", "markdownUrl": "https://www.anchorterminal.com/tools/traycer.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/traycer.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/traycer.json", "dns": "traycer.grade.anchorterminal.com", "repo": "https://github.com/traycerai/traycer", "license": "MIT", "transports": [], "packages": [], "auth": "none", "pricing": "free", "pricingNotes": "Free and open source. You pay for the coding agents it runs, through your own subscriptions or API keys (checked 2026-11-07).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No payment protocol in the repository or README (checked 2026-11-07).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-07" }, "docsUrl": "https://docs.traycer.ai", "capabilities": [ "agent.harness", "agent.multi-agent" ], "tags": [ "open-source", "mit", "desktop-app", "cli", "telemetry", "new" ], "lastRelease": "2026-11-06", "graded": true, "anchor": { "graded": true, "score": 57, "grade": "C", "agentReady": false, "rank": 811, "ranked": true, "rankOf": 1486, "categoryRank": 29, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 75, "payments": 30, "reliability": 65, "schema": 65, "security": 42, "transparency": 60 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-07" }, "negative": 0, "verdict": "An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds.", "bestFor": "Teams who want several coding agents working together with shared context and boards.", "strengths": [ "Runs agents you already pay for, or Traycer's own inference", "Shares context across models and lets agents message each other", "macOS, Linux and Windows builds, with package-manager installs", "MIT, with CodeQL, Scorecard and secret scanning" ], "weaknesses": [ "Privacy Mode is opt-in for individuals; with it off, prompts may be logged", "Sentry and PostHog may be enabled in release builds, with no opt-out in the README", "Inference subscription price not found on the pages read" ], "agentNotes": [ "Turn on Privacy Mode if you're an individual user and don't want prompts logged", "CLI agents you configure send requests straight to their provider; Traycer's own inference goes through Traycer" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 57 } ], "editorialScores": { "ergonomics": 65, "maintenance": 75, "payments": 30, "reliability": 65, "schema": 65, "security": 42, "transparency": 66 }, "provenanceScore": 53, "checked": { "categories": { "ergonomics": "2026-11-07", "maintenance": "2026-11-07", "payments": "2026-11-07", "reliability": "2026-11-07", "schema": "2026-11-07", "security": "2026-11-07", "transparency": "2026-11-07" }, "last": "2026-11-07", "oldest": "2026-11-07", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "Download for macOS, Linux or Windows from the releases page" }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/traycer" }, "area": "frameworks", "provenance": { "legalEntity": "Traycer AI", "domain": "traycer.ai", "domainRegistered": "", "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules.", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/traycerai/traycer/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-11-07", "notes": [ "The licence names Traycer AI. The repository is github.com/traycerai/traycer." ], "score": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/traycer.json", "live": { "slug": "traycer", "securityTxt": { "url": "https://traycer.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:47.880384121Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/traycerai/traycer/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:23:51.024738302Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "d3f389f721e9" } ], "updatedAt": "2026-11-07T15:59:47.880384121Z" } }, "edges": [ { "by": 30, "category": "payments", "leads": "qwen-code", "name": "Payments \u0026 pricing", "reasons": { "a": "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.", "b": "Scored on the paid option, Traycer's own inference subscription, whose price wasn't read (0 of 20). No protocol (0). Bring-your-own-agent use is free (20). Accounts for sync and teams weren't checked, half (10). 0 + 0 + 20 + 10 = 30." }, "scores": { "a": 60, "b": 30 } }, { "by": 26, "category": "schema", "leads": "qwen-code", "name": "Schema \u0026 documentation", "reasons": { "a": "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).", "b": "Harness reading. Mintlify docs, a protocol package and a CLI (65)." }, "scores": { "a": 91, "b": 65 } }, { "by": 20, "category": "ergonomics", "leads": "qwen-code", "name": "Agent ergonomics", "reasons": { "a": "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).", "b": "Harness reading. Model switching within an agent, agent-to-agent loops, a CLI and cross-device sync (65)." }, "scores": { "a": 85, "b": 65 } }, { "by": 13, "category": "maintenance", "leads": "qwen-code", "name": "Maintenance \u0026 community", "reasons": { "a": "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.", "b": "Commits on 6 November 2026 and host 1.5.3 (30). More than three releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Current apps and CLI packages (15). CI with tests (10). 30 + 20 + 0 + 15 + 10 = 75." }, "scores": { "a": 88, "b": 75 } }, { "by": 11, "category": "security", "leads": "qwen-code", "name": "Security \u0026 auth", "reasons": { "a": "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.", "b": "Harness reading. Code is processed in memory and not used for training, but Privacy Mode is opt-in for individuals, prompts may be logged with it off, and Sentry and PostHog 'may be enabled in release builds' (10 of 30). No approval model described in the README (8 of 20). No prompt-injection guidance (5). No audit log found (5). SECURITY.md, CodeQL, Scorecard and secret scanning (14 of 20). 10 + 8 + 5 + 5 + 14 = 42." }, "scores": { "a": 53, "b": 42 } }, { "by": 6, "category": "transparency", "leads": "qwen-code", "name": "Transparency \u0026 trust", "reasons": { "a": "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.", "b": "MIT (30). README privacy section and a linked privacy policy (not read) (18 of 30). CHANGELOG.md, no deprecation policy (10). Analytics described as 'may be enabled', with no opt-out given in the README (8 of 20). 30 + 18 + 10 + 8 = 66." }, "scores": { "a": 66, "b": 60 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Alibaba (Qwen team)", "b": "Traycer AI", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-11-01", "b": "2026-11-06", "name": "Last release" }, { "a": "2026-10-01", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not read yet", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not read yet", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not read yet", "name": "Arbitration or class-action waiver" }, { "a": "28k stars, 105k npm/wk", "b": "none", "name": "Popularity" }, { "a": "2.8/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Qwen Code scores 68.7 (B) on agent readiness against Traycer's 57 (C), and leads in every scored category.", "question": "Which is better for AI agents, Qwen Code or Traycer?" }, { "answer": "Yes. Qwen Code is open source (Apache-2.0). Traycer is open source (MIT).", "question": "Are Qwen Code and Traycer open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 91 against 65", "Agent ergonomics, 85 against 65", "Security \u0026 auth, 53 against 42", "Payments \u0026 pricing, 60 against 30", "Maintenance \u0026 community, 88 against 75", "Transparency \u0026 trust, 66 against 60" ], "also": [ "Free to start without a card" ], "goodFor": "Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.", "slug": "qwen-code", "watchFor": "The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default" }, { "aheadOn": null, "also": [ "No key needed to call it", "No incidents deducted, where Qwen Code loses 4 points for them" ], "goodFor": "Teams who want several coding agents working together with shared context and boards.", "slug": "traycer", "watchFor": "Privacy Mode is opt-in for individuals; with it off, prompts may be logged" } ], "history": { "qwen-code": [ { "causes": [ "terms", "event" ], "date": "2026-11-01", "delta": -3.9, "from": 72.6, "fromGrade": "BB", "to": 68.7, "toGrade": "B" }, { "causes": [ "evidence" ], "date": "2026-10-28", "delta": 0.1, "from": 72.5, "fromGrade": "BB", "to": 72.6, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 72.4, "fromGrade": "BB", "to": 72.5, "toGrade": "BB" } ], "traycer": null }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.json", "title": "Agent Zero vs Qwen Code", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-traycer.json", "title": "Agent Zero vs Traycer", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-traycer" }, { "json": 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"https://www.anchorterminal.com/compare/sculptor-vs-traycer.json", "title": "Sculptor vs Traycer", "url": "https://www.anchorterminal.com/compare/sculptor-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/t3-code-vs-traycer.json", "title": "T3 Code vs Traycer", "url": "https://www.anchorterminal.com/compare/t3-code-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/traycer-vs-unstoppable.json", "title": "Traycer vs Unstoppable", "url": "https://www.anchorterminal.com/compare/traycer-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/traycer-vs-verdent.json", "title": "Traycer vs Verdent", "url": "https://www.anchorterminal.com/compare/traycer-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/traycer-vs-vibe-trading.json", "title": "Traycer vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/traycer-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/traycer-vs-warp.json", "title": "Traycer vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/traycer-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-qwen-code.json", "title": "Clawboo vs Qwen Code", "url": "https://www.anchorterminal.com/compare/clawboo-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-traycer.json", "title": "Clawboo vs Traycer", "url": "https://www.anchorterminal.com/compare/clawboo-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code.json", "title": "CLI Manager vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-traycer.json", "title": "CLI Manager vs Traycer", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code.json", "title": "Harness vs Qwen Code", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-traycer.json", "title": "Harness vs Traycer", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/openmausbot-vs-qwen-code.json", "title": "OpenMausBot vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openmausbot-vs-traycer.json", "title": "OpenMausBot vs Traycer", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.json", "title": "Paperclip vs Qwen Code", "url": "https://www.anchorterminal.com/compare/paperclip-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-traycer.json", "title": "Paperclip vs Traycer", "url": "https://www.anchorterminal.com/compare/paperclip-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code.json", "title": "Parallax vs Qwen Code", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-traycer.json", "title": "Parallax vs Traycer", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-traycer" } ], "panel": null, "scores": [ { "by": 4, "edge": "qwen-code", "key": "reliability", "name": "Reliability", "qwen-code": 69, "traycer": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 26, "edge": "qwen-code", "key": "schema", "name": "Schema \u0026 documentation", "qwen-code": 91, "traycer": 65, "weight": 13 }, { "by": 20, "edge": "qwen-code", "key": "ergonomics", "name": "Agent ergonomics", "qwen-code": 85, "traycer": 65, "weight": 13 }, { "by": 11, "edge": "qwen-code", "key": "security", "name": "Security \u0026 auth", "qwen-code": 53, "traycer": 42, "weight": 14 }, { "by": 30, "edge": "qwen-code", "key": "payments", "name": "Payments \u0026 pricing", "qwen-code": 60, "traycer": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 13, "edge": "qwen-code", "key": "maintenance", "name": "Maintenance \u0026 community", "qwen-code": 88, "traycer": 75, "weight": 7 }, { "by": 6, "edge": "qwen-code", "key": "transparency", "name": "Transparency \u0026 trust", "qwen-code": 66, "traycer": 60, "weight": 7 } ], "summary": "Qwen Code scores 68.7 (B) on agent readiness against Traycer's 57 (C), and leads in every scored category. Both do agent harnesses.", "tasks": null, "tutorials": [], "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.", "traycer": "An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/qwen-code-vs-traycer", "json": "https://www.anchorterminal.com/compare/qwen-code-vs-traycer.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/qwen-code-vs-traycer.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/qwen-code-vs-traycer.min.md" }, "markdown": "Qwen Code scores 68.7 (B) on agent readiness against Traycer's 57 (C), and leads in every scored category. Both do agent harnesses.\n\n- Qwen Code: grade B, 68.7/100, rank #273 of 1486. Markdown https://www.anchorterminal.com/tools/qwen-code.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n- Traycer: grade C, 57/100, rank #811 of 1486. Markdown https://www.anchorterminal.com/tools/traycer.md · JSON https://www.anchorterminal.com/api/v1/tools/traycer.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### Qwen Code (B)\n\nGood for: Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.\n\nAhead on:\n- Schema \u0026 documentation, 91 against 65\n- Agent ergonomics, 85 against 65\n- Security \u0026 auth, 53 against 42\n- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 88 against 75\n- Transparency \u0026 trust, 66 against 60\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default\n\n### Traycer (C)\n\nGood for: Teams who want several coding agents working together with shared context and boards.\n\nAlso in its favour:\n- No key needed to call it\n- No incidents deducted, where Qwen Code loses 4 points for them\n\nWatch for: Privacy Mode is opt-in for individuals; with it off, prompts may be logged\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Qwen Code +30\n\n- 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.\n- Traycer (30): Scored on the paid option, Traycer's own inference subscription, whose price wasn't read (0 of 20). No protocol (0). Bring-your-own-agent use is free (20). Accounts for sync and teams weren't checked, half (10). 0 + 0 + 20 + 10 = 30.\n\n### Schema \u0026 documentation: Qwen Code +26\n\n- 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).\n- Traycer (65): Harness reading. Mintlify docs, a protocol package and a CLI (65).\n\n### Agent ergonomics: Qwen Code +20\n\n- 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).\n- Traycer (65): Harness reading. Model switching within an agent, agent-to-agent loops, a CLI and cross-device sync (65).\n\n### Maintenance \u0026 community: Qwen Code +13\n\n- 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.\n- Traycer (75): Commits on 6 November 2026 and host 1.5.3 (30). More than three releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Current apps and CLI packages (15). CI with tests (10). 30 + 20 + 0 + 15 + 10 = 75.\n\n### Security \u0026 auth: Qwen Code +11\n\n- 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.\n- Traycer (42): Harness reading. Code is processed in memory and not used for training, but Privacy Mode is opt-in for individuals, prompts may be logged with it off, and Sentry and PostHog 'may be enabled in release builds' (10 of 30). No approval model described in the README (8 of 20). No prompt-injection guidance (5). No audit log found (5). SECURITY.md, CodeQL, Scorecard and secret scanning (14 of 20). 10 + 8 + 5 + 5 + 14 = 42.\n\n### Transparency \u0026 trust: Qwen Code +6\n\n- 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.\n- Traycer (60): MIT (30). README privacy section and a linked privacy policy (not read) (18 of 30). CHANGELOG.md, no deprecation policy (10). Analytics described as 'may be enabled', with no opt-out given in the README (8 of 20). 30 + 18 + 10 + 8 = 66.\n\n## Score by category\n\n| Category | Weight | Qwen Code | Traycer | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 69 | 65 | Qwen Code +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 91 | 65 | Qwen Code +26 |\n| Agent ergonomics | 13% (16.2 this run) | 85 | 65 | Qwen Code +20 |\n| Security \u0026 auth | 14% (17.5 this run) | 53 | 42 | Qwen Code +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | Qwen Code +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 88 | 75 | Qwen Code +13 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 60 | Qwen Code +6 |\n| Negative events | ≤15 | -4 | 0 | |\n| **Total** | | **68.7 · B** | **57 · C** | |\n\n## Facts side by side\n\n| Fact | Qwen Code | Traycer |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Alibaba (Qwen team) | Traycer AI |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | API key | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-11-01 | 2026-11-06 |\n| Terms last updated | 2026-10-01 | no document linked |\n| Privacy policy last updated | 2026-10-01 | no document linked |\n| Customer content may train models | not found in the text | not read yet |\n| Terms restrict automated access | not found in the text | not read yet |\n| Terms restrict benchmarking | not found in the text | not read yet |\n| Terms or service can change without notice | not found in the text | not read yet |\n| Arbitration or class-action waiver | not found in the text | not read yet |\n| Popularity | 28k stars, 105k npm/wk | none |\n| Agent reviews | 2.8/5 (4) | none |\n\n## How the scores have moved\n\n### Qwen Code\n\n- -3.9 on 1 November 2026 (BB to B): terms, negative event\n- +0.1 on 28 October 2026: new evidence\n- +0.1 on 27 October 2026: checklist\n\n### Traycer\n\nNo score change since it was listed.\n\n## Verdicts\n\n**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.\n\n**Traycer.** An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds.\n\n## Before you call either\n\n### Qwen Code\n\n1. 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\n2. 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\n3. `--yolo` doesn't turn on a sandbox. Add `--sandbox`, or on Linux set `tools.executionSandbox` with `network` set to `closed`\n4. Set `QWEN_USAGE_STATISTICS_ENABLED=false` to stop usage statistics\n5. 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\n\n### Traycer\n\n1. Turn on Privacy Mode if you're an individual user and don't want prompts logged\n2. CLI agents you configure send requests straight to their provider; Traycer's own inference goes through Traycer\n\n## Questions\n\n### Which is better for AI agents, Qwen Code or Traycer?\n\nQwen Code scores 68.7 (B) on agent readiness against Traycer's 57 (C), and leads in every scored category.\n\n### Are Qwen Code and Traycer open source?\n\nYes. Qwen Code is open source (Apache-2.0). Traycer is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/qwen-code-vs-traycer.json, and with the fewest tokens: https://www.anchorterminal.com/compare/qwen-code-vs-traycer.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"qwen-code\", \"b\": \"traycer\"}`. From a terminal: `anchor compare qwen-code traycer`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/qwen-code.json and https://www.anchorterminal.com/api/v1/tools/traycer.json\n\n## Other comparisons with Qwen Code or Traycer\n\n- [Agent Zero vs Qwen Code](https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.md)\n- [Agent Zero vs Traycer](https://www.anchorterminal.com/compare/agent-zero-vs-traycer.md)\n- [Aider vs Qwen Code](https://www.anchorterminal.com/compare/aider-vs-qwen-code.md)\n- [Aider vs Traycer](https://www.anchorterminal.com/compare/aider-vs-traycer.md)\n- [Amp vs Qwen Code](https://www.anchorterminal.com/compare/amp-vs-qwen-code.md)\n- [Amp vs Traycer](https://www.anchorterminal.com/compare/amp-vs-traycer.md)\n- [Antigravity CLI vs Qwen Code](https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code.md)\n- [Antigravity CLI vs Traycer](https://www.anchorterminal.com/compare/antigravity-cli-vs-traycer.md)\n- [Auggie CLI vs Qwen Code](https://www.anchorterminal.com/compare/auggie-vs-qwen-code.md)\n- [Auggie CLI vs Traycer](https://www.anchorterminal.com/compare/auggie-vs-traycer.md)\n- [AXLR vs Qwen Code](https://www.anchorterminal.com/compare/axlr-vs-qwen-code.md)\n- [AXLR vs Traycer](https://www.anchorterminal.com/compare/axlr-vs-traycer.md)\n- [Claude Code vs Qwen Code](https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.md)\n- [Claude Code vs Traycer](https://www.anchorterminal.com/compare/claude-code-vs-traycer.md)\n- [Cline vs Qwen Code](https://www.anchorterminal.com/compare/cline-vs-qwen-code.md)\n- [Cline vs Traycer](https://www.anchorterminal.com/compare/cline-vs-traycer.md)\n- [Conductor vs Qwen Code](https://www.anchorterminal.com/compare/conductor-vs-qwen-code.md)\n- [Conductor vs Traycer](https://www.anchorterminal.com/compare/conductor-vs-traycer.md)\n- [Crush vs Qwen Code](https://www.anchorterminal.com/compare/crush-vs-qwen-code.md)\n- [Crush vs Traycer](https://www.anchorterminal.com/compare/crush-vs-traycer.md)\n- [Cursor CLI vs Qwen Code](https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code.md)\n- [Cursor CLI vs Traycer](https://www.anchorterminal.com/compare/cursor-cli-vs-traycer.md)\n- [DeepSeek Harness (dsh) vs Qwen Code](https://www.anchorterminal.com/compare/deepseek-harness-vs-qwen-code.md)\n- [DeepSeek Harness (dsh) vs Traycer](https://www.anchorterminal.com/compare/deepseek-harness-vs-traycer.md)\n- [dsh-superagent (DeepSeek) vs Qwen Code](https://www.anchorterminal.com/compare/deepseek-superagent-vs-qwen-code.md)\n- [dsh-superagent (DeepSeek) vs Traycer](https://www.anchorterminal.com/compare/deepseek-superagent-vs-traycer.md)\n- [Devin vs Qwen Code](https://www.anchorterminal.com/compare/devin-vs-qwen-code.md)\n- [Devin vs Traycer](https://www.anchorterminal.com/compare/devin-vs-traycer.md)\n- [Droid CLI vs Qwen Code](https://www.anchorterminal.com/compare/droid-cli-vs-qwen-code.md)\n- [Droid CLI vs Traycer](https://www.anchorterminal.com/compare/droid-cli-vs-traycer.md)\n- [Pi vs Qwen Code](https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code.md)\n- [Pi vs Traycer](https://www.anchorterminal.com/compare/earendil-pi-vs-traycer.md)\n- [Emdash vs Qwen Code](https://www.anchorterminal.com/compare/emdash-vs-qwen-code.md)\n- [Emdash vs Traycer](https://www.anchorterminal.com/compare/emdash-vs-traycer.md)\n- [Gemini CLI vs Qwen Code](https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.md)\n- [Gemini CLI vs Traycer](https://www.anchorterminal.com/compare/gemini-cli-vs-traycer.md)\n- [GitHub Copilot CLI vs Qwen Code](https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code.md)\n- [GitHub Copilot CLI vs Traycer](https://www.anchorterminal.com/compare/github-copilot-cli-vs-traycer.md)\n- [goose vs Qwen Code](https://www.anchorterminal.com/compare/goose-vs-qwen-code.md)\n- [goose vs Traycer](https://www.anchorterminal.com/compare/goose-vs-traycer.md)\n- 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Traycer](https://www.anchorterminal.com/compare/harness-autonomous-vs-traycer.md)\n- [OpenMausBot vs Qwen Code](https://www.anchorterminal.com/compare/openmausbot-vs-qwen-code.md)\n- [OpenMausBot vs Traycer](https://www.anchorterminal.com/compare/openmausbot-vs-traycer.md)\n- [Paperclip vs Qwen Code](https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.md)\n- [Paperclip vs Traycer](https://www.anchorterminal.com/compare/paperclip-vs-traycer.md)\n- [Parallax vs Qwen Code](https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code.md)\n- [Parallax vs Traycer](https://www.anchorterminal.com/compare/parallax-agents-vs-traycer.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": 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