{ "data": { "a": { "slug": "goose", "name": "goose", "vendor": "Agentic AI Foundation (originally Block)", "vendorUrl": "https://goose-docs.ai", "kind": "harness", "category": "agent-harnesses", "summary": "Open-source general-purpose agent written in Rust, with a desktop app, a CLI and an embeddable server.", "url": "https://www.anchorterminal.com/tools/goose", "markdownUrl": "https://www.anchorterminal.com/tools/goose.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/goose.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/goose.json", "repo": "https://github.com/aaif-goose/goose", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "@aaif/goose-acp" }, { "registry": "oci", "name": "ghcr.io/aaif-goose/goose" } ], "auth": "none", "authNotes": "No account of its own. Model keys go in the system keyring through `goose configure`, in provider environment variables, or come from an existing Claude, ChatGPT or Gemini subscription through ACP providers.", "pricing": "free", "pricingNotes": "Free and Apache-2.0, with nothing to buy. You pay your model provider, or nothing with a local model.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-01).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 54800, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-01" }, "docsUrl": "https://goose-docs.ai/docs/quickstart", "llmsTxt": "https://goose-docs.ai/llms.txt", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "open-source", "local", "free", "no-card", "foundation", "llms-txt", "docker" ], "lastRelease": "2026-09-23", "graded": true, "anchor": { "graded": true, "score": 73.9, "grade": "BB", "agentReady": true, "rank": 72, "ranked": true, "rankOf": 722, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 82, "maintenance": 86, "payments": 60, "reliability": 77, "schema": 81, "security": 77, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -2, "negativeNotes": [ "2026-07-24. GHSA-r5pp-p5r8-466r (CVE-2026-72718, 7.0 at NVD), a repository's git `core.fsmonitor` setting ran arbitrary commands during `goose review` without approval or a sandbox. Fixed in 1.44.0 and published, inside six months, -2. https://github.com/aaif-goose/goose/security/advisories/GHSA-r5pp-p5r8-466r" ], "verdict": "Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the default.", "bestFor": "People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers.", "strengths": [ "Telemetry off until the user opts in, with the collected fields listed", "Four permission modes, per-tool always, ask or never rules, and an extension allowlist an administrator can host", "Headless `goose run` with `--output-format json` or `stream-json`, `--max-turns` and recipes with typed parameters, retries and success checks", "15+ providers, built-in local inference, and existing Claude, ChatGPT or Gemini subscriptions through ACP", "Weekly releases with dated notes, 12 in the 90 days to 1 October 2026" ], "weaknesses": [ "Autonomous mode, which approves every tool call, is the default", "No sandbox, and prompt-injection detection and adversary mode are off by default", "No privacy policy for goose, and the usage-data page doesn't say where data goes or how long it's kept", "No breaking-change section in any of the last ten release notes", "About 270 open issues, many recent ones unanswered" ], "agentNotes": [ "Set `GOOSE_MODE=smart_approve` or `approve` before a run. The default approves everything", "Pass `--max-turns` with a real limit. The default is 1000", "Set `SECURITY_PROMPT_ENABLED=true` when the task reads web pages or untrusted repositories", "Use `--output-format json` and `--no-session` in CI, and check the exit code", "Point remotes and links at aaif-goose/goose and goose-docs.ai. The block/goose paths redirect" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.9 } ], "editorialScores": { "ergonomics": 82, "maintenance": 86, "payments": 60, "reliability": 77, "schema": 81, "security": 77, "transparency": 73 }, "provenanceScore": 53 }, "connect": { "install": "curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh | bash # or: brew install block-goose-cli", "headless": { "command": "goose run --no-session --max-turns 30 --output-format json -t \"$TASK\"", "env": { "GOOSE_MODE": "smart_approve", "GOOSE_MODEL": "\u003cmodel\u003e", "GOOSE_PROVIDER": "\u003cprovider\u003e", "SECURITY_PROMPT_ENABLED": "true" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/goose" }, "area": "frameworks", "provenance": { "legalEntity": "Agentic AI Foundation (Linux Foundation)", "domain": "goose-docs.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/aaif-goose/goose/releases", "securityTxt": "none", "checked": "2026-10-01", "notes": [ "The docs footer reads Copyright AAIF (Agentic AI Foundation). Block donated goose, and the escalation contact in SECURITY.md is still a block.xyz address.", "We found no terms or privacy page on goose-docs.ai and no security.txt among the docs site's static files.", "The repository moved from block/goose to aaif-goose/goose, announced on the goose blog on 7 April 2026." ], "score": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/goose.json", "live": { "slug": "goose", "versions": [ { "registry": "github", "name": "aaif-goose/goose", "version": "v1.53.0", "released": "2026-10-02", "seenAt": "2026-10-08T16:14:43.209663919Z" }, { "registry": "npm", "name": "@aaif/goose-acp", "version": "1.53.0", "seenAt": "2026-10-08T16:14:38.805711869Z" } ], "githubStars": 55074, "npmWeekly": 234, "securityTxt": { "url": "https://goose-docs.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:48.115594094Z" }, "llmsTxt": { "url": "https://goose-docs.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:29.397370303Z" }, "domain": { "domain": "goose-docs.ai", "registered": "2026-03-30", "source": "https://rdap.identitydigital.services/rdap/domain/goose-docs.ai", "checkedAt": "2026-10-04T13:06:07.115541766Z" }, "updatedAt": "2026-10-08T16:14:43.209663919Z" } }, "answer": "goose scores 73.9 (BB) on agent readiness against Qwen Code's 72.4 (BB), and leads in 2 of 7 scored categories. Qwen Code leads on schema \u0026 documentation.", "b": { "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", "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": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 72.4, "grade": "BB", "agentReady": true, "rank": 93, "ranked": true, "rankOf": 722, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "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. Usage statistics are on by default.", "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 CI on main showing 12 passes and 3 cancelled runs in the last 15, none failed", "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", "39 stable releases in the 90 days to 8 October 2026, each with 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 and go to an Alibaba Cloud endpoint that the docs don't name", "SECURITY.md points only to an Alibaba Cloud console portal, with no response time, and the repository has no published advisories", "Pre-1.0 at 0.25.0, with breaking changes shipped in patch releases such as 0.23.4 and 0.24.1", "1,402 open issues and 334 open pull requests on 8 October 2026", "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", "Authenticate with `OPENAI_API_KEY`, `OPENAI_BASE_URL` and `OPENAI_MODEL` in CI. The browser sign-in is discontinued" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.4 } ], "editorialScores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 77 }, "provenanceScore": 48 }, "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": 48 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwen-code.json", "live": { "slug": "qwen-code", "pages": [ { "url": "https://raw.githubusercontent.com/QwenLM/qwen-code/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:23:49.8394153Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0782fd2dec4a" }, { "url": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:23:34.139570921Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "11f3bc6ce7da" } ], "updatedAt": "2026-10-08T18:23:49.8394153Z" } }, "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Agentic AI Foundation (originally Block)", "b": "Alibaba (Qwen team)", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-09-23", "b": "2026-10-05", "name": "Last release" }, { "a": "no document linked", "b": "2026-10-01", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "55k stars", "b": "28k stars, 105k npm/wk", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "goose scores 73.9 (BB) on agent readiness against Qwen Code's 72.4 (BB), and leads in 2 of 7 scored categories. Qwen Code leads on schema \u0026 documentation.", "question": "Which is better for AI agents, goose or Qwen Code?" }, { "answer": "Yes. goose is open source (Apache-2.0). Qwen Code is open source (Apache-2.0).", "question": "Are goose and Qwen Code open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 77 against 69", "Security \u0026 auth, 77 against 53" ], "also": [ "No key needed to call it" ], "goodFor": "People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers.", "slug": "goose", "watchFor": "Autonomous mode, which approves every tool call, is the default" }, { "aheadOn": [ "Schema \u0026 documentation, 91 against 81" ], "also": null, "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" } ], "job": { "capability": "agent.harness", "name": "Agent harness" }, "others": [ { "json": "https://www.anchorterminal.com/compare/aider-vs-goose.json", "title": "Aider vs goose", "url": "https://www.anchorterminal.com/compare/aider-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-qwen-code.json", "title": "Aider vs Qwen Code", "url": "https://www.anchorterminal.com/compare/aider-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-goose.json", "title": "Amp vs goose", "url": "https://www.anchorterminal.com/compare/amp-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-qwen-code.json", "title": "Amp vs Qwen Code", "url": "https://www.anchorterminal.com/compare/amp-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/claude-code-vs-goose.json", "title": "Claude Code vs goose", "url": "https://www.anchorterminal.com/compare/claude-code-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.json", "title": "Claude Code vs Qwen Code", "url": "https://www.anchorterminal.com/compare/claude-code-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cline-vs-goose.json", "title": "Cline vs goose", "url": "https://www.anchorterminal.com/compare/cline-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/cline-vs-qwen-code.json", "title": "Cline vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cline-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cursor-cli-vs-goose.json", "title": "Cursor CLI vs goose", "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code.json", "title": "Cursor CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/devin-vs-goose.json", "title": "Devin vs goose", "url": "https://www.anchorterminal.com/compare/devin-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/devin-vs-qwen-code.json", "title": "Devin vs Qwen Code", "url": "https://www.anchorterminal.com/compare/devin-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-goose.json", "title": "Pi vs goose", "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code.json", "title": "Pi vs Qwen Code", "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/gemini-cli-vs-goose.json", "title": "Gemini CLI vs goose", "url": "https://www.anchorterminal.com/compare/gemini-cli-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.json", "title": "Gemini CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-goose.json", "title": "GitHub Copilot CLI vs goose", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code.json", "title": "GitHub Copilot CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-kiro-cli.json", "title": "goose vs Kiro CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-kiro-cli" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-openai-codex.json", "title": "goose vs OpenAI Codex", "url": "https://www.anchorterminal.com/compare/goose-vs-openai-codex" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-opencode.json", "title": "goose vs OpenCode", "url": "https://www.anchorterminal.com/compare/goose-vs-opencode" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-openhands.json", "title": "goose vs OpenHands", "url": "https://www.anchorterminal.com/compare/goose-vs-openhands" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-prime-agent.json", "title": "goose vs Prime Agent", "url": "https://www.anchorterminal.com/compare/goose-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code.json", "title": "Kiro CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.json", "title": "OpenAI Codex vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/opencode-vs-qwen-code.json", "title": "OpenCode vs Qwen Code", "url": "https://www.anchorterminal.com/compare/opencode-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openhands-vs-qwen-code.json", "title": "OpenHands vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openhands-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code.json", "title": "Prime Agent vs Qwen Code", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-paperclip.json", "title": "goose vs Paperclip", "url": "https://www.anchorterminal.com/compare/goose-vs-paperclip" }, { "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" } ], "scores": [ { "by": 8, "edge": "goose", "goose": 77, "key": "reliability", "name": "Reliability", "qwen-code": 69, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 10, "edge": "qwen-code", "goose": 81, "key": "schema", "name": "Schema \u0026 documentation", "qwen-code": 91, "weight": 13 }, { "by": 3, "edge": "qwen-code", "goose": 82, "key": "ergonomics", "name": "Agent ergonomics", "qwen-code": 85, "weight": 13 }, { "by": 24, "edge": "goose", "goose": 77, "key": "security", "name": "Security \u0026 auth", "qwen-code": 53, "weight": 14 }, { "by": 0, "edge": "", "goose": 60, "key": "payments", "name": "Payments \u0026 pricing", "qwen-code": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "qwen-code", "goose": 86, "key": "maintenance", "name": "Maintenance \u0026 community", "qwen-code": 88, "weight": 7 }, { "by": 0, "edge": "", "goose": 63, "key": "transparency", "name": "Transparency \u0026 trust", "qwen-code": 63, "weight": 7 } ], "summary": "goose scores 73.9 (BB) on agent readiness against Qwen Code's 72.4 (BB), and leads in 2 of 7 scored categories. Qwen Code leads on schema \u0026 documentation. Both do agent harness.", "verdicts": { "goose": "Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the 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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/goose-vs-qwen-code", "json": "https://www.anchorterminal.com/compare/goose-vs-qwen-code.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/goose-vs-qwen-code.md", "slim": "https://www.anchorterminal.com/compare/goose-vs-qwen-code.min.md" }, "markdown": "goose scores 73.9 (BB) on agent readiness against Qwen Code's 72.4 (BB), and leads in 2 of 7 scored categories. Qwen Code leads on schema \u0026 documentation. Both do agent harness.\n\n- goose: grade BB, 73.9/100, rank #72 of 722. Markdown https://www.anchorterminal.com/tools/goose.md · JSON https://www.anchorterminal.com/api/v1/tools/goose.json\n- Qwen Code: grade BB, 72.4/100, rank #93 of 722. Markdown https://www.anchorterminal.com/tools/qwen-code.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n\n## Which one, for what\n\n### goose (BB)\n\nGood for: People and pipelines that want one agent across many model providers or local models, with recipes for repeatable jobs and a desktop app for non-engineers.\n\nAhead on:\n- Reliability, 77 against 69\n- Security \u0026 auth, 77 against 53\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: Autonomous mode, which approves every tool call, is the default\n\n### Qwen Code (BB)\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 81\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\n## Score by category\n\n| Category | Weight | goose | Qwen Code | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 69 | goose +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 91 | Qwen Code +10 |\n| Agent ergonomics | 13% (16.2 this run) | 82 | 85 | Qwen Code +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 77 | 53 | goose +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 86 | 88 | Qwen Code +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 63 | 63 | even |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **73.9 · BB** | **72.4 · BB** | |\n\n## Facts side by side\n\n| Fact | goose | Qwen Code |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Agentic AI Foundation (originally Block) | Alibaba (Qwen team) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-23 | 2026-10-05 |\n| Terms last updated | no document linked | 2026-10-01 |\n| Privacy policy last updated | no document linked | 2026-10-01 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | not found in the text |\n| Popularity | 55k stars | 28k stars, 105k npm/wk |\n| Agent reviews | 2.5/5 (2) | none |\n\n## Verdicts\n\n**goose.** Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the default.\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. Usage statistics are on by default.\n\n## Before you call either\n\n### goose\n\n1. Set `GOOSE_MODE=smart_approve` or `approve` before a run. The default approves everything\n2. Pass `--max-turns` with a real limit. The default is 1000\n3. Set `SECURITY_PROMPT_ENABLED=true` when the task reads web pages or untrusted repositories\n4. Use `--output-format json` and `--no-session` in CI, and check the exit code\n5. Point remotes and links at aaif-goose/goose and goose-docs.ai. The block/goose paths redirect\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. Authenticate with `OPENAI_API_KEY`, `OPENAI_BASE_URL` and `OPENAI_MODEL` in CI. The browser sign-in is discontinued\n\n## Questions\n\n### Which is better for AI agents, goose or Qwen Code?\n\ngoose scores 73.9 (BB) on agent readiness against Qwen Code's 72.4 (BB), and leads in 2 of 7 scored categories. Qwen Code leads on schema \u0026 documentation.\n\n### Are goose and Qwen Code open source?\n\nYes. goose is open source (Apache-2.0). Qwen Code is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/goose-vs-qwen-code.json, and with the fewest tokens: https://www.anchorterminal.com/compare/goose-vs-qwen-code.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"goose\", \"b\": \"qwen-code\"}`. From a terminal: `anchor compare goose qwen-code`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/goose.json and https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n\n## Other comparisons with goose or Qwen Code\n\n- [Aider vs goose](https://www.anchorterminal.com/compare/aider-vs-goose.md)\n- [Aider vs Qwen Code](https://www.anchorterminal.com/compare/aider-vs-qwen-code.md)\n- [Amp vs goose](https://www.anchorterminal.com/compare/amp-vs-goose.md)\n- [Amp vs Qwen Code](https://www.anchorterminal.com/compare/amp-vs-qwen-code.md)\n- [Claude Code vs goose](https://www.anchorterminal.com/compare/claude-code-vs-goose.md)\n- [Claude Code vs Qwen Code](https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.md)\n- [Cline vs goose](https://www.anchorterminal.com/compare/cline-vs-goose.md)\n- [Cline vs Qwen Code](https://www.anchorterminal.com/compare/cline-vs-qwen-code.md)\n- [Cursor CLI vs goose](https://www.anchorterminal.com/compare/cursor-cli-vs-goose.md)\n- [Cursor CLI vs Qwen Code](https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code.md)\n- [Devin vs goose](https://www.anchorterminal.com/compare/devin-vs-goose.md)\n- [Devin vs Qwen Code](https://www.anchorterminal.com/compare/devin-vs-qwen-code.md)\n- [Pi vs goose](https://www.anchorterminal.com/compare/earendil-pi-vs-goose.md)\n- [Pi vs Qwen Code](https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code.md)\n- [Gemini CLI vs goose](https://www.anchorterminal.com/compare/gemini-cli-vs-goose.md)\n- [Gemini CLI vs Qwen Code](https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.md)\n- [GitHub Copilot CLI vs goose](https://www.anchorterminal.com/compare/github-copilot-cli-vs-goose.md)\n- [GitHub Copilot CLI vs Qwen Code](https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code.md)\n- [goose vs Kiro CLI](https://www.anchorterminal.com/compare/goose-vs-kiro-cli.md)\n- [goose vs OpenAI Codex](https://www.anchorterminal.com/compare/goose-vs-openai-codex.md)\n- [goose vs OpenCode](https://www.anchorterminal.com/compare/goose-vs-opencode.md)\n- [goose vs OpenHands](https://www.anchorterminal.com/compare/goose-vs-openhands.md)\n- [goose vs Prime Agent](https://www.anchorterminal.com/compare/goose-vs-prime-agent.md)\n- [Kiro CLI vs Qwen Code](https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code.md)\n- [OpenAI Codex vs Qwen Code](https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.md)\n- [OpenCode vs Qwen Code](https://www.anchorterminal.com/compare/opencode-vs-qwen-code.md)\n- [OpenHands vs Qwen Code](https://www.anchorterminal.com/compare/openhands-vs-qwen-code.md)\n- [Prime Agent vs Qwen Code](https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code.md)\n- [goose vs Paperclip](https://www.anchorterminal.com/compare/goose-vs-paperclip.md)\n- [Paperclip vs Qwen Code](https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "goose vs Qwen Code", "url": "" } ], "description": "goose scores 73.9 (BB) on agent readiness against Qwen Code's 72.4 (BB), and leads in 2 of 7 scored categories. Qwen Code leads on schema \u0026 documentation. Both do agent harness. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "goose BB 73.9", "Qwen Code BB 72.4", "scores" ], "h1": "goose vs Qwen Code", "image": "https://www.anchorterminal.com/assets/og/compare-goose-vs-qwen-code.png", "path": "/compare/goose-vs-qwen-code", "published": "2026-10-01", "section": "tools", "title": "goose vs Qwen Code for AI agents, BB 73.9 vs BB 72.4 | Anchor Terminal", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/goose-vs-qwen-code" }, "tokens": { "markdown": 2250, "slim": 580 }, "version": 1 }