{ "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", "dns": "goose.grade.anchorterminal.com", "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": "2026-10-27", "graded": true, "anchor": { "graded": true, "score": 71.3, "grade": "BB", "agentReady": true, "rank": 149, "ranked": true, "rankOf": 1354, "categoryRank": 3, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 82, "maintenance": 86, "payments": 60, "reliability": 77, "schema": 81, "security": 77, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -5, "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", "2026-10-16 and 2026-10-27. Minor releases 1.55.0 and 1.57.0 removed documented functions with no earlier notice. 1.55.0 dropped background subagents (`delegate(..., async: true)` and `GOOSE_MAX_BACKGROUND_TASKS`, commit 8f72d2d3 of 7 October) and 1.57.0 dropped the developer tools that delegated file reads and terminal commands to an ACP editor (commit 0a2f3068 of 26 October). The release-notes workflow has no breaking-change section. Read by the 1 November rule for breaking changes in a minor release without notice, as microsoft-agent-framework 1.23.0 was, at the floor because synchronous subagents and goose's own file and shell tools remain, -3. https://github.com/aaif-goose/goose/commit/0a2f30681566ec83e6359c375c7f5b36aa3567b2" ], "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, 13 in the 90 days to 1 November 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 on goose-docs.ai, and the usage-data page doesn't say where data goes or how long it's kept", "Weekly minor releases removed background subagents (1.55.0) and ACP editor delegation (1.57.0) with no notice or breaking-change section", "About 270 open issues, many recent ones unanswered" ], "agentNotes": [ "Set `GOOSE_MODE=smart_approve` or `approve` before a run. The default approves everything, and the first-run prompt preselects Auto", "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", "Pin the goose version in CI. Minor releases have removed functions, such as `delegate(..., async: true)` in 1.55.0, without notice" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 71.3 } ], "editorialScores": { "ergonomics": 82, "maintenance": 86, "payments": 60, "reliability": 77, "schema": 81, "security": 77, "transparency": 73 }, "provenanceScore": 61, "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": "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": 61 }, "requirements": { "card": "no", "freeTier": true, "minutes": 5, "credential": "api-key", "hosting": [ "self-hosted" ], "euResidency": "unknown", "trainsOnData": "no", "zeroRetention": "unknown", "selfHost": "yes" }, "pageJsonUrl": "https://www.anchorterminal.com/tools/goose.json", "live": { "slug": "goose", "versions": [ { "registry": "github", "name": "aaif-goose/goose", "version": "v1.57.0", "released": "2026-10-28", "seenAt": "2026-11-05T21:34:25.237552699Z" }, { "registry": "npm", "name": "@aaif/goose-acp", "version": "1.57.0", "seenAt": "2026-11-05T21:34:24.320104629Z" } ], "githubStars": 56269, "npmWeekly": 91, "securityTxt": { "url": "https://goose-docs.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-05T15:56:25.646666018Z" }, "llmsTxt": { "url": "https://goose-docs.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-05T15:26:11.941568232Z" }, "domain": { "domain": "goose-docs.ai", "registered": "2026-03-30", "source": "https://rdap.identitydigital.services/rdap/domain/goose-docs.ai", "checkedAt": "2026-11-01T14:23:35.561804658Z" }, "github": { "repo": "aaif-goose/goose", "checkedAt": "2026-11-02T08:27:32.16497414Z", "stars": 56113, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T04:38:01Z", "openIssues": 373, "openPRs": 168, "issuesOpened90d": 1092, "issuesClosed90d": 868, "prsMerged90d": 691, "ci": { "branch": "main", "runs": 50, "success": 44, "failure": 0, "other": 6, "latest": "success", "latestAt": "2026-11-02T04:50:52Z" }, "advisories": [ { "ghsa": "GHSA-r5pp-p5r8-466r", "cve": "CVE-2026-72718", "severity": "high", "published": "2026-07-24T13:01:25Z" } ], "replies": { "sampled": 22, "unanswered": 14, "medianDays": 1 } }, "updatedAt": "2026-11-05T21:34:25.237552699Z" } }, "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against goose's 71.3 (BB), and leads in 4 of 7 scored categories. goose leads on reliability and payments \u0026 pricing.", "b": { "slug": "openai-agents-api", "name": "OpenAI Agents API", "vendor": "OpenAI", "vendorUrl": "https://openai.com/index/introducing-the-agents-api/", "kind": "http-api", "category": "agent-harnesses", "summary": "The OpenAI Agents API runs OpenAI's managed Codex harness as a hosted service. One call creates a session with a model, tools, MCP servers, subagents and an OpenAI-hosted or self-hosted sandbox, and OpenAI runs the loop.", "url": "https://www.anchorterminal.com/tools/openai-agents-api", "markdownUrl": "https://www.anchorterminal.com/tools/openai-agents-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-agents-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json", "dns": "openai-agents-api.grade.anchorterminal.com", "license": "Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0", "transports": [ "https" ], "remoteUrl": "https://api.openai.com/v1/agents/sessions", "packages": [ { "registry": "pypi", "name": "openai" }, { "registry": "npm", "name": "openai" } ], "auth": "api-key", "authNotes": "An OpenAI project API key as a Bearer token, with the header `OpenAI-Beta: agents=v1`. Project keys can be restricted per endpoint or read-only, and service accounts and workload identity federation are available, per the openai-api listing. Signing up and creating a key need a person in a browser.", "pricing": "usage", "pricingNotes": "No fee for the API itself. Model tokens are billed at the chosen model's API rates, OpenAI tools at their built-in rates (web search $10.00 per 1,000 calls plus content tokens), and OpenAI-hosted sandboxes at container rates, $0.03 for 1 GB, $0.12 for 4 GB, $0.48 for 16 GB and $1.92 for 64 GB per 20-minute session, billed by the minute with a 5-minute minimum. Since 9 October sandbox compute is billed only during active turns (checked 2026-11-06).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the Agents API guides or on OpenAI's pricing page; billing is to an OpenAI account (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://developers.openai.com/api/docs/guides/agents-api/overview", "llmsTxt": "https://developers.openai.com/api/docs/llms.txt", "capabilities": [ "agent.harness" ], "tags": [ "official", "hosted", "beta", "usage-priced", "llms-txt", "status-page", "mcp-client", "sandbox", "subagents", "webhooks", "soc2", "iso27001", "bug-bounty" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 73.3, "grade": "BB", "agentReady": true, "rank": 99, "ranked": true, "rankOf": 1354, "categoryRank": 2, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 87, "payments": 30, "reliability": 60, "schema": 88, "security": 87, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.", "bestFor": "Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.", "strengths": [ "One session call configures the model, tools, MCP servers, subagents and the sandbox, and OpenAI runs and recovers the loop", "Sandboxes on OpenAI or self-hosted, with guides for ten providers including E2B, Daytona, Modal, Cloudflare and Vercel", "An errors guide with codes per status and turn, Retry-After and a check-before-retry procedure", "Webhooks, streamed events, tracing and usage views for each session", "SDK examples in Python, JavaScript, Go, Java and Ruby", "Status page with its own Agents component" ], "weaknesses": [ "Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date", "Not eligible for Zero Data Retention, and data residency is United States only", "No idempotency key for session or turn requests; retries depend on checking state first", "One API-wide major outage on 29 September included it, plus several smaller incidents since release", "No retention period stated for published artifacts after a sandbox expires" ], "agentNotes": [ "POST https://api.openai.com/v1/agents/sessions with a project key and the header OpenAI-Beta: agents=v1, or use client.beta.agents in the SDKs", "Before retrying, retrieve the session and turn and check which actions completed, since there's no idempotency key", "Set the sandbox network to restricted with an allowlist of up to 100 hosts when the agent doesn't need the open web", "Save files from /workspace/outputs before deleting a session; no retention period is stated for artifacts", "Don't send data that needs Zero Data Retention or non-US residency; the Agents API supports neither" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 73.3 } ], "editorialScores": { "ergonomics": 80, "maintenance": 87, "payments": 30, "reliability": 60, "schema": 88, "security": 87, "transparency": 75 }, "provenanceScore": 95, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl https://api.openai.com/v1/agents/sessions \\\n -H \"Authorization: Bearer $OPENAI_API_KEY\" \\\n -H \"OpenAI-Beta: agents=v1\" \\\n -H \"Content-Type: application/json\" \\\n -d @session.json # model, tools, environment and input, per the quickstart" }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/openai-agents-api" }, "sameCompany": [ "openai-api", "openai-embeddings", "openai-guardrails", "openai-moderation", "openai-image-api", "openai-sora", "openai-speech-to-text", "gpt-live", "openai-realtime", "openai-agents-sdk", "openai-decisions-api", "openai-codex", "gpt-oss-120b", "gpt-oss-20b" ], "area": "frameworks", "provenance": { "legalEntity": "OpenAI OpCo, LLC", "domain": "openai.com", "domainRegistered": "2007-01-19", "domainNote": "openai.com was registered in 2007, before OpenAI existed, per the openai-api listing.", "endpointOnVendorDomain": true, "terms": "https://openai.com/policies/services-agreement/", "privacy": "https://openai.com/policies/privacy-policy/", "statusPage": "https://status.openai.com", "changelog": "https://developers.openai.com/api/docs/changelog", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The endpoint is on api.openai.com, the same host as the rest of the OpenAI API. Terms, privacy, security.txt and the domain are the openai-api listing's readings." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-agents-api.json", "live": { "slug": "openai-agents-api", "probe": { "target": "https://api.openai.com/v1/agents/sessions", "method": "get", "lastAt": "2026-11-06T09:47:41.371658489Z", "lastOk": true, "lastStatus": 400, "lastMs": 162, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 148, "p95ms24h": 166, "samples24h": 47, "samples30d": 47, "days": [ { "date": "2026-11-06", "probes": 47, "ok": 47 } ] }, "vendorStatus": { "page": "https://status.openai.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-06T09:43:26.425829944Z" }, "updatedAt": "2026-11-06T09:47:41.371658489Z" } }, "edges": [ { "by": 30, "category": "payments", "leads": "goose", "name": "Payments \u0026 pricing", "reasons": { "a": "No payment protocol (0). Free and Apache-2.0 with nothing to buy, so 20, 20 and 20 on the last three lines. It runs local models, including built-in local inference, with no signup.", "b": "No machine payment protocol (0). Model, tool and container prices published without a login, and no fee for the API itself (20). The Free tier reading of the openai-api listing, half (10). Sign-up in a browser (0). 0 + 20 + 10 + 0 = 30." }, "scores": { "a": 60, "b": 30 } }, { "by": 18, "category": "transparency", "leads": "openai-agents-api", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 (30). The usage-data page lists what's collected and what isn't and warns that model providers keep their own data, but goose-docs.ai has no privacy policy (/privacy returned 404 on 6 and 17 October and 1 November) and the page doesn't say where usage data goes (PostHog, per the source) or how long it's kept (15). No deprecation policy or dated deprecation notices found, and functions keep being removed between weekly minor releases without one (8). Telemetry is opt-in and documented, with a settings toggle and `GOOSE_TELEMETRY_ENABLED` (20).", "b": "Closed service with clear terms, Apache-2.0 SDKs (15). Session state retained until deleted, deletable sessions and artifacts, not ZDR-eligible, US residency only, and the data-controls guide agrees; no retention period for artifacts after a sandbox expires (25 of 30). Dated deprecation notices with minimum periods for GA models; a beta API can change faster (15 of 20). Subprocessors and processing countries listed, per the openai-api listing (20). 15 + 25 + 15 + 20 = 75." }, "scores": { "a": 67, "b": 85 } }, { "by": 17, "category": "reliability", "leads": "goose", "name": "Reliability", "reasons": { "a": "Read as a local package, which is how the 1 October dossier read it. Desktop builds and a CLI for macOS, Linux and Windows (a Windows NSIS installer from 1.56.0), Homebrew casks, a download script on GitHub releases, an npm package that installs the binary (@aaif/goose-acp) and a GHCR image, with Rust 1.94.1 as the minimum for source builds (20). A CI workflow runs on every push to main, with cargo-deny, cargo-machete, MCP and tool-call conformance and an OpenSSF Scorecard job beside it. The Actions page loaded on 1 October showed only passing runs from March 2026, and GitHub pages refused our requests on 6 and 17 October and 1 November, so the current state is unconfirmed (18). 266 to 271 open issues on 1 October, many from that week with no reply, including open reports that the default mode approves every tool call (#12567) and that schedules can overwrite each other (#12613), per the 1 October check, not re-read since (15). Weekly minor releases with notes written by a release-notes workflow whose sections are `Features`, `Bug Fixes`, `Improvements` and `Documentation`, with no breaking-change section. 1.55.0 dropped background subagents (`delegate(..., async: true)` and `GOOSE_MAX_BACKGROUND_TASKS`) and 1.57.0 dropped the developer tools that delegated file reads and terminal commands to an ACP editor, each edited out of the code and docs with no earlier notice (9). 1.57, stable (15).", "b": "Read as a hosted API. status.openai.com has an Agents component under APIs (20). Since release on 10 September (57 days, not 90), the feed names the Agents API in a degraded-performance incident on 14 September, the elevated errors across ChatGPT, Codex and the API on 29 September (the openai-api listing reads that one as a major, 17:52 to 23:14 UTC), computer use issues and degraded workspace agents on 6 and 7 October, degraded performance across the APIs for 22 minutes on 21 October, and overbilling for hosted containers on 19 September. One major, the rest minor (10). Rate limits come from the shared guide, published per tier and model with headers, and the errors page adds a Files API allowance on session creation (15). 429 and 503 guidance with Retry-After, capped backoff and a check-then-retry procedure for turns (15). The Scale Tier SLA in the openai-api listing isn't shown to cover a beta API (0). Public beta behind the agents=v1 header (0). 20 + 10 + 15 + 15 + 0 + 0 = 60." }, "scores": { "a": 77, "b": 60 } }, { "by": 10, "category": "security", "leads": "openai-agents-api", "name": "Security \u0026 auth", "reasons": { "a": "Harness reading of the framework checklist, used for all five harnesses in this batch. 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. Usage data is off until the user agrees on first use, and the docs list what's collected and what isn't (30). Four modes (autonomous, smart approval, manual approval, chat only), per-tool always, ask or never rules, and an extension allowlist fetched from `GOOSE_ALLOWLIST`, which from 1.57.0 must be HTTPS and blocks installs when the policy can't be read, but autonomous is the default (the first-run prompt for the mode still preselects Auto in 1.57.0) and there's no sandbox, with the docs pointing to a VM or container (11). Pattern and optional ML prompt-injection detection and an adversary reviewer for shell calls, both off until turned on, plus a prompt-injection caution in SECURITY.md (11). Session logs, a diagnostics report and a Langfuse tracing guide (12). SECURITY.md with GitHub private reporting and an AAIF governance contact, one advisory published with a CVE, and a Scorecard workflow. A second CVE, CVE-2026-109561 (low, Manual Approval bypassed by persisted read-only annotations after Smart Approval, fixed in 1.44.0), was published by NVD on 12 October from a third party, with no goose advisory of its own. No bug bounty, and goose-docs.ai/.well-known/security.txt returned 404 on 6 and 17 October and 1 November (13).", "b": "Project keys with restricted per-endpoint permissions, service accounts and workload identity, per the openai-api listing; we didn't confirm a key can be limited to /v1/agents (27 of 30). Automatic review for approvals, a sandbox network restricted to a host allowlist, vaults for secrets and a sandbox security guide (17 of 20). The agent reads web pages, MCP results and browser content; the sandbox security guide and approval flow are the mitigations, with no prompt-injection guide of its own found (8 of 15). Tracing, observability and usage per session and admin audit logs (15). SOC 2 Type 2, ISO 27001 family, Bugcrowd bounty and a disclosure policy, per the openai-api listing (20). Not ZDR-eligible and US residency only, recorded under transparency. 27 + 17 + 8 + 15 + 20 = 87." }, "scores": { "a": 77, "b": 87 } }, { "by": 7, "category": "schema", "leads": "openai-agents-api", "name": "Schema \u0026 documentation", "reasons": { "a": "Recipes have a documented schema with typed parameters and a `response` JSON Schema for structured output, and config and environment variables are documented in tables, but we found no OpenAPI spec for the goose server (18). llms.txt at goose-docs.ai, which now covers goose and the goose Development Kit (10). Permission modes come with a best-for column and the security pages say what each guard catches and misses (15). Recipe parameters take types and requirement levels, and retries take typed success checks (12). Many tutorials, a headless guide that tells scripts to check exit codes, and a known-issues page (13). Dated, written notes on every GitHub release, with no changelog file (13).", "b": "The reference is linked from the overview and the SDKs carry beta.agents types; we didn't confirm /agents/sessions in OpenAI's public OpenAPI file, so 15 of 25. llms.txt with every Agents API page and Markdown twins (10). The overview, architecture page and the agents guide that compares the Agents API, Agents SDK and Responses API say when to use it (20). Typed configuration with enumerated container sizes, network modes and environment types (13 of 15). Examples in six languages and an errors page with codes per HTTP status, turn and session (15). Dated changelog entries and a versioned beta header (15). 15 + 10 + 20 + 13 + 15 + 15 = 88." }, "scores": { "a": 81, "b": 88 } } ], "facts": [ { "a": "Agent harness", "b": "HTTP API", "name": "Kind" }, { "a": "Agentic AI Foundation (originally Block)", "b": "OpenAI", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.openai.com/v1/agents/sessions", "name": "Hosted endpoint" }, { "a": "", "b": "https", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-27", "b": "2026-10-16", "name": "Last release" }, { "a": "no document linked", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "no document linked", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "55k stars", "b": "none", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against goose's 71.3 (BB), and leads in 4 of 7 scored categories. goose leads on reliability and payments \u0026 pricing.", "question": "Which is better for AI agents, goose or OpenAI Agents API?" }, { "answer": "No hosted endpoint is listed for goose. OpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions.", "question": "Can an agent call goose and OpenAI Agents API without installing anything?" }, { "answer": "goose is open source (Apache-2.0). No open-source release is listed for OpenAI Agents API.", "question": "Are goose and OpenAI Agents API open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 77 against 60", "Payments \u0026 pricing, 60 against 30" ], "also": [ "No key needed to call it", "Free to start without a card", "Open source" ], "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, 88 against 81", "Security \u0026 auth, 87 against 77", "Transparency \u0026 trust, 85 against 67" ], "also": [ "A hosted endpoint, with nothing to install", "No incidents deducted, where goose loses 5 points for them" ], "goodFor": "Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.", "slug": "openai-agents-api", "watchFor": "Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date" } ], "history": { "goose": [ { "causes": [ "event" ], "date": "2026-11-01", "delta": -3, "from": 74.3, "fromGrade": "BB", "to": 71.3, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.4, "from": 73.9, "fromGrade": "BB", "to": 74.3, "toGrade": "BB" } ], "openai-agents-api": null }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-goose.json", "title": "Agent Zero vs goose", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api.json", "title": "Agent Zero vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api" }, { "json": 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"title": "dsh-superagent (DeepSeek) vs goose", "url": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api.json", "title": "dsh-superagent (DeepSeek) vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api" }, { "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-openai-agents-api.json", "title": "Devin vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/devin-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/droid-cli-vs-goose.json", "title": "Droid CLI vs goose", "url": "https://www.anchorterminal.com/compare/droid-cli-vs-goose" }, { "json": 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"https://www.anchorterminal.com/compare/goose-vs-junie.json", "title": "goose vs Junie CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-junie" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-kilo-code-cli.json", "title": "goose vs Kilo Code CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-kilo-code-cli" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-kimi-code-cli.json", "title": "goose vs Kimi Code CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-kimi-code-cli" }, { "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-mini-swe-agent.json", "title": "goose vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/goose-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-minimax-code.json", "title": "goose vs MiniMax Code", "url": "https://www.anchorterminal.com/compare/goose-vs-minimax-code" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-mistral-vibe-cli.json", "title": "goose vs Mistral Vibe CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-mistral-vibe-cli" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-muse-code.json", "title": "goose vs Muse Code", "url": "https://www.anchorterminal.com/compare/goose-vs-muse-code" }, { "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-openmausbot.json", "title": "goose vs OpenMausBot", "url": "https://www.anchorterminal.com/compare/goose-vs-openmausbot" }, { "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/goose-vs-qoder-cli.json", "title": "goose vs Qoder CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-qoder-cli" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-qwen-code.json", "title": "goose vs Qwen Code", "url": "https://www.anchorterminal.com/compare/goose-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-reflection-mirror.json", "title": "goose vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-rovo-dev-cli.json", "title": "goose vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/goose-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-unstoppable.json", "title": "goose vs Unstoppable", "url": "https://www.anchorterminal.com/compare/goose-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-vibe-trading.json", "title": "goose vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/goose-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-warp.json", "title": "goose vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/goose-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-openai-agents-api.json", "title": "Harness² vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/harness2-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/harnessrouter-vs-openai-agents-api.json", "title": "HarnessRouter vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/harnessrouter-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/jules-vs-openai-agents-api.json", "title": "Jules vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/jules-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/junie-vs-openai-agents-api.json", "title": "Junie CLI vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/junie-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-openai-agents-api.json", "title": "Kilo Code CLI vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-openai-agents-api.json", "title": "Kimi Code CLI vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/kiro-cli-vs-openai-agents-api.json", "title": "Kiro CLI vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/kiro-cli-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-agents-api.json", "title": "mini-swe-agent vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/minimax-code-vs-openai-agents-api.json", "title": "MiniMax Code vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/minimax-code-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-openai-agents-api.json", "title": "Mistral Vibe CLI vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/muse-code-vs-openai-agents-api.json", "title": "Muse Code vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/muse-code-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-openai-codex.json", "title": "OpenAI Agents API vs OpenAI Codex", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-openai-codex" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-opencode.json", "title": "OpenAI Agents API vs OpenCode", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-opencode" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-openhands.json", "title": "OpenAI Agents API vs OpenHands", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-openhands" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-openmausbot.json", "title": "OpenAI Agents API vs OpenMausBot", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-openmausbot" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent.json", "title": "OpenAI Agents API vs Prime Agent", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qoder-cli.json", "title": "OpenAI Agents API vs Qoder CLI", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qoder-cli" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.json", "title": "OpenAI Agents API vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-reflection-mirror.json", "title": "OpenAI Agents API vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-rovo-dev-cli.json", "title": "OpenAI Agents API vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-unstoppable.json", "title": "OpenAI Agents API vs Unstoppable", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-vibe-trading.json", "title": "OpenAI Agents API vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-warp.json", "title": "OpenAI Agents API vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-goose.json", "title": "Clawboo vs goose", "url": "https://www.anchorterminal.com/compare/clawboo-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-goose.json", "title": "CLI Manager vs goose", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-goose" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-harness-autonomous.json", "title": "goose vs Harness", "url": "https://www.anchorterminal.com/compare/goose-vs-harness-autonomous" }, { "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/goose-vs-parallax-agents.json", "title": "goose vs Parallax", "url": "https://www.anchorterminal.com/compare/goose-vs-parallax-agents" } ], "panel": null, "scores": [ { "by": 17, "edge": "goose", "goose": 77, "key": "reliability", "name": "Reliability", "openai-agents-api": 60, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 7, "edge": "openai-agents-api", "goose": 81, "key": "schema", "name": "Schema \u0026 documentation", "openai-agents-api": 88, "weight": 13 }, { "by": 2, "edge": "goose", "goose": 82, "key": "ergonomics", "name": "Agent ergonomics", "openai-agents-api": 80, "weight": 13 }, { "by": 10, "edge": "openai-agents-api", "goose": 77, "key": "security", "name": "Security \u0026 auth", "openai-agents-api": 87, "weight": 14 }, { "by": 30, "edge": "goose", "goose": 60, "key": "payments", "name": "Payments \u0026 pricing", "openai-agents-api": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 1, "edge": "openai-agents-api", "goose": 86, "key": "maintenance", "name": "Maintenance \u0026 community", "openai-agents-api": 87, "weight": 7 }, { "by": 18, "edge": "openai-agents-api", "goose": 67, "key": "transparency", "name": "Transparency \u0026 trust", "openai-agents-api": 85, "weight": 7 } ], "summary": "OpenAI Agents API scores 73.3 (BB) on agent readiness against goose's 71.3 (BB), and leads in 4 of 7 scored categories. goose leads on reliability and payments \u0026 pricing. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "goose": "Telemetry off until the user opts in, with the collected fields listed. Autonomous mode, which approves every tool call, is the default.", "openai-agents-api": "OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/goose-vs-openai-agents-api", "json": "https://www.anchorterminal.com/compare/goose-vs-openai-agents-api.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/goose-vs-openai-agents-api.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/goose-vs-openai-agents-api.min.md" }, "markdown": "OpenAI Agents API scores 73.3 (BB) on agent readiness against goose's 71.3 (BB), and leads in 4 of 7 scored categories. goose leads on reliability and payments \u0026 pricing. Both do agent harnesses.\n\n- goose: grade BB, 71.3/100, rank #149 of 1354. Markdown https://www.anchorterminal.com/tools/goose.md · JSON https://www.anchorterminal.com/api/v1/tools/goose.json\n- OpenAI Agents API: grade BB, 73.3/100, rank #99 of 1354. Markdown https://www.anchorterminal.com/tools/openai-agents-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1041 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\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 60\n- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n\nWatch for: Autonomous mode, which approves every tool call, is the default\n\n### OpenAI Agents API (BB)\n\nGood for: Teams that want OpenAI to run the agent loop, with sandboxes, MCP tools and subagents, and are fine with a beta API, US-only data residency and no Zero Data Retention.\n\nAhead on:\n- Schema \u0026 documentation, 88 against 81\n- Security \u0026 auth, 87 against 77\n- Transparency \u0026 trust, 85 against 67\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- No incidents deducted, where goose loses 5 points for them\n\nWatch for: Public beta since 10 September 2026 behind the agents=v1 beta header, with no GA date\n\n\n## Why the edge\n\n### Payments \u0026 pricing: goose +30\n\n- goose (60): No payment protocol (0). Free and Apache-2.0 with nothing to buy, so 20, 20 and 20 on the last three lines. It runs local models, including built-in local inference, with no signup.\n- OpenAI Agents API (30): No machine payment protocol (0). Model, tool and container prices published without a login, and no fee for the API itself (20). The Free tier reading of the openai-api listing, half (10). Sign-up in a browser (0). 0 + 20 + 10 + 0 = 30.\n\n### Transparency \u0026 trust: OpenAI Agents API +18\n\n- goose (67): Apache-2.0 (30). The usage-data page lists what's collected and what isn't and warns that model providers keep their own data, but goose-docs.ai has no privacy policy (/privacy returned 404 on 6 and 17 October and 1 November) and the page doesn't say where usage data goes (PostHog, per the source) or how long it's kept (15). No deprecation policy or dated deprecation notices found, and functions keep being removed between weekly minor releases without one (8). Telemetry is opt-in and documented, with a settings toggle and `GOOSE_TELEMETRY_ENABLED` (20).\n- OpenAI Agents API (85): Closed service with clear terms, Apache-2.0 SDKs (15). Session state retained until deleted, deletable sessions and artifacts, not ZDR-eligible, US residency only, and the data-controls guide agrees; no retention period for artifacts after a sandbox expires (25 of 30). Dated deprecation notices with minimum periods for GA models; a beta API can change faster (15 of 20). Subprocessors and processing countries listed, per the openai-api listing (20). 15 + 25 + 15 + 20 = 75.\n\n### Reliability: goose +17\n\n- goose (77): Read as a local package, which is how the 1 October dossier read it. Desktop builds and a CLI for macOS, Linux and Windows (a Windows NSIS installer from 1.56.0), Homebrew casks, a download script on GitHub releases, an npm package that installs the binary (@aaif/goose-acp) and a GHCR image, with Rust 1.94.1 as the minimum for source builds (20). A CI workflow runs on every push to main, with cargo-deny, cargo-machete, MCP and tool-call conformance and an OpenSSF Scorecard job beside it. The Actions page loaded on 1 October showed only passing runs from March 2026, and GitHub pages refused our requests on 6 and 17 October and 1 November, so the current state is unconfirmed (18). 266 to 271 open issues on 1 October, many from that week with no reply, including open reports that the default mode approves every tool call (#12567) and that schedules can overwrite each other (#12613), per the 1 October check, not re-read since (15). Weekly minor releases with notes written by a release-notes workflow whose sections are `Features`, `Bug Fixes`, `Improvements` and `Documentation`, with no breaking-change section. 1.55.0 dropped background subagents (`delegate(..., async: true)` and `GOOSE_MAX_BACKGROUND_TASKS`) and 1.57.0 dropped the developer tools that delegated file reads and terminal commands to an ACP editor, each edited out of the code and docs with no earlier notice (9). 1.57, stable (15).\n- OpenAI Agents API (60): Read as a hosted API. status.openai.com has an Agents component under APIs (20). Since release on 10 September (57 days, not 90), the feed names the Agents API in a degraded-performance incident on 14 September, the elevated errors across ChatGPT, Codex and the API on 29 September (the openai-api listing reads that one as a major, 17:52 to 23:14 UTC), computer use issues and degraded workspace agents on 6 and 7 October, degraded performance across the APIs for 22 minutes on 21 October, and overbilling for hosted containers on 19 September. One major, the rest minor (10). Rate limits come from the shared guide, published per tier and model with headers, and the errors page adds a Files API allowance on session creation (15). 429 and 503 guidance with Retry-After, capped backoff and a check-then-retry procedure for turns (15). The Scale Tier SLA in the openai-api listing isn't shown to cover a beta API (0). Public beta behind the agents=v1 header (0). 20 + 10 + 15 + 15 + 0 + 0 = 60.\n\n### Security \u0026 auth: OpenAI Agents API +10\n\n- goose (77): Harness reading of the framework checklist, used for all five harnesses in this batch. 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. Usage data is off until the user agrees on first use, and the docs list what's collected and what isn't (30). Four modes (autonomous, smart approval, manual approval, chat only), per-tool always, ask or never rules, and an extension allowlist fetched from `GOOSE_ALLOWLIST`, which from 1.57.0 must be HTTPS and blocks installs when the policy can't be read, but autonomous is the default (the first-run prompt for the mode still preselects Auto in 1.57.0) and there's no sandbox, with the docs pointing to a VM or container (11). Pattern and optional ML prompt-injection detection and an adversary reviewer for shell calls, both off until turned on, plus a prompt-injection caution in SECURITY.md (11). Session logs, a diagnostics report and a Langfuse tracing guide (12). SECURITY.md with GitHub private reporting and an AAIF governance contact, one advisory published with a CVE, and a Scorecard workflow. A second CVE, CVE-2026-109561 (low, Manual Approval bypassed by persisted read-only annotations after Smart Approval, fixed in 1.44.0), was published by NVD on 12 October from a third party, with no goose advisory of its own. No bug bounty, and goose-docs.ai/.well-known/security.txt returned 404 on 6 and 17 October and 1 November (13).\n- OpenAI Agents API (87): Project keys with restricted per-endpoint permissions, service accounts and workload identity, per the openai-api listing; we didn't confirm a key can be limited to /v1/agents (27 of 30). Automatic review for approvals, a sandbox network restricted to a host allowlist, vaults for secrets and a sandbox security guide (17 of 20). The agent reads web pages, MCP results and browser content; the sandbox security guide and approval flow are the mitigations, with no prompt-injection guide of its own found (8 of 15). Tracing, observability and usage per session and admin audit logs (15). SOC 2 Type 2, ISO 27001 family, Bugcrowd bounty and a disclosure policy, per the openai-api listing (20). Not ZDR-eligible and US residency only, recorded under transparency. 27 + 17 + 8 + 15 + 20 = 87.\n\n### Schema \u0026 documentation: OpenAI Agents API +7\n\n- goose (81): Recipes have a documented schema with typed parameters and a `response` JSON Schema for structured output, and config and environment variables are documented in tables, but we found no OpenAPI spec for the goose server (18). llms.txt at goose-docs.ai, which now covers goose and the goose Development Kit (10). Permission modes come with a best-for column and the security pages say what each guard catches and misses (15). Recipe parameters take types and requirement levels, and retries take typed success checks (12). Many tutorials, a headless guide that tells scripts to check exit codes, and a known-issues page (13). Dated, written notes on every GitHub release, with no changelog file (13).\n- OpenAI Agents API (88): The reference is linked from the overview and the SDKs carry beta.agents types; we didn't confirm /agents/sessions in OpenAI's public OpenAPI file, so 15 of 25. llms.txt with every Agents API page and Markdown twins (10). The overview, architecture page and the agents guide that compares the Agents API, Agents SDK and Responses API say when to use it (20). Typed configuration with enumerated container sizes, network modes and environment types (13 of 15). Examples in six languages and an errors page with codes per HTTP status, turn and session (15). Dated changelog entries and a versioned beta header (15). 15 + 10 + 20 + 13 + 15 + 15 = 88.\n\n## Score by category\n\n| Category | Weight | goose | OpenAI Agents API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 60 | goose +17 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 88 | OpenAI Agents API +7 |\n| Agent ergonomics | 13% (16.2 this run) | 82 | 80 | goose +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 77 | 87 | OpenAI Agents API +10 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | goose +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 86 | 87 | OpenAI Agents API +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 85 | OpenAI Agents API +18 |\n| Negative events | ≤15 | -5 | 0 | |\n| **Total** | | **71.3 · BB** | **73.3 · BB** | |\n\n## Facts side by side\n\n| Fact | goose | OpenAI Agents API |\n| --- | --- | --- |\n| Kind | Agent harness | HTTP API |\n| Vendor | Agentic AI Foundation (originally Block) | OpenAI |\n| Hosted endpoint | no (local only) | `https://api.openai.com/v1/agents/sessions` |\n| Transports | | https |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-27 | 2026-10-16 |\n| Terms last updated | no document linked | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\n| Customer content may train models | not read yet | couldn't be read |\n| Terms restrict automated access | not read yet | couldn't be read |\n| Terms restrict benchmarking | not read yet | couldn't be read |\n| Terms or service can change without notice | not read yet | couldn't be read |\n| Arbitration or class-action waiver | not read yet | couldn't be read |\n| Popularity | 55k stars | none |\n| Agent reviews | 2.5/5 (2) | none |\n\n## How the scores have moved\n\n### goose\n\n- -3.0 on 1 November 2026: negative event\n- +0.4 on 27 October 2026: checklist\n\n### OpenAI Agents API\n\nNo score change since it was listed.\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**OpenAI Agents API.** OpenAI's hosted agent runtime, the Codex harness behind one session call, with MCP, functions, web search, computer use, subagents and sandboxes on OpenAI or your own infrastructure. Documentation, errors and SDKs are thorough. It's still public beta, can't use Zero Data Retention and keeps data in the United States only.\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, and the first-run prompt preselects Auto\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. Pin the goose version in CI. Minor releases have removed functions, such as `delegate(..., async: true)` in 1.55.0, without notice\n\n### OpenAI Agents API\n\n1. POST https://api.openai.com/v1/agents/sessions with a project key and the header OpenAI-Beta: agents=v1, or use client.beta.agents in the SDKs\n2. Before retrying, retrieve the session and turn and check which actions completed, since there's no idempotency key\n3. Set the sandbox network to restricted with an allowlist of up to 100 hosts when the agent doesn't need the open web\n4. Save files from /workspace/outputs before deleting a session; no retention period is stated for artifacts\n5. Don't send data that needs Zero Data Retention or non-US residency; the Agents API supports neither\n\n## Questions\n\n### Which is better for AI agents, goose or OpenAI Agents API?\n\nOpenAI Agents API scores 73.3 (BB) on agent readiness against goose's 71.3 (BB), and leads in 4 of 7 scored categories. goose leads on reliability and payments \u0026 pricing.\n\n### Can an agent call goose and OpenAI Agents API without installing anything?\n\nNo hosted endpoint is listed for goose. OpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions.\n\n### Are goose and OpenAI Agents API open source?\n\ngoose is open source (Apache-2.0). No open-source release is listed for OpenAI Agents API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/goose-vs-openai-agents-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/goose-vs-openai-agents-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"goose\", \"b\": \"openai-agents-api\"}`. From a terminal: `anchor compare goose openai-agents-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/goose.json and https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json\n\n## Other comparisons with goose or OpenAI Agents API\n\n- [Agent Zero vs goose](https://www.anchorterminal.com/compare/agent-zero-vs-goose.md)\n- [Agent Zero vs OpenAI Agents API](https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api.md)\n- [Aider vs goose](https://www.anchorterminal.com/compare/aider-vs-goose.md)\n- [Aider vs OpenAI Agents API](https://www.anchorterminal.com/compare/aider-vs-openai-agents-api.md)\n- [Amp vs goose](https://www.anchorterminal.com/compare/amp-vs-goose.md)\n- [Amp vs OpenAI Agents API](https://www.anchorterminal.com/compare/amp-vs-openai-agents-api.md)\n- [Antigravity CLI vs goose](https://www.anchorterminal.com/compare/antigravity-cli-vs-goose.md)\n- [Antigravity CLI vs OpenAI Agents 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Paperclip](https://www.anchorterminal.com/compare/goose-vs-paperclip.md)\n- [goose vs Parallax](https://www.anchorterminal.com/compare/goose-vs-parallax-agents.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": "2026-11-06", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "goose vs OpenAI Agents API", "url": "" 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