{
  "data": {
    "a": {
      "slug": "muse-code",
      "name": "Muse Code",
      "vendor": "Meta",
      "vendorUrl": "https://dev.meta.ai/products/muse-code",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "Muse Code is Meta's coding agent for the terminal and CI, built for its Muse models. It plans, edits files and runs commands under approvals and an OS sandbox, interactively, headless through `muse exec` or from an SDK.",
      "url": "https://www.anchorterminal.com/tools/muse-code",
      "markdownUrl": "https://www.anchorterminal.com/tools/muse-code.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/muse-code.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/muse-code.json",
      "dns": "muse-code.grade.anchorterminal.com",
      "repo": "https://github.com/meta-models/muse-code-sdk",
      "license": "Proprietary binary, used under the Meta Model API Terms of Service, which cover Meta's coding harness. Subscriptions are also under the Meta Subscription Terms of Service. The TypeScript and Python SDKs in the linked repository are MIT.",
      "transports": [],
      "packages": [
        {
          "registry": "npm",
          "name": "@muse-code/sdk"
        },
        {
          "registry": "pypi",
          "name": "muse-code-sdk"
        }
      ],
      "auth": "mixed",
      "authNotes": "A browser sign-in to a Meta Model API account on first run, or a Meta Model API key in `META_API_KEY` or stored with `muse auth set`. A key takes priority over a browser session. CI runs and Meta Managed Accounts must use a key.",
      "pricing": "paid",
      "pricingNotes": "Pay-as-you-go at Meta Model API token prices, or a monthly plan at $5 (Everyday Usage), $15 (High Usage), $50 (Power Usage) or $200 (Maximum Usage), checked 2026-10-12. Muse Wonder Full needs Power Usage or Maximum Usage. No free plan or trial was found.",
      "priceSummary": "$5 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Muse Code docs, the subscription pages or dev.meta.ai/llms.txt, checked 12 October 2026. Plans are paid through Meta Accounts Centre and pay-as-you-go through Model API billing.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 63119,
        "pypiWeekly": null,
        "asOf": "2026-10-12"
      },
      "docsUrl": "https://dev.meta.ai/docs/muse-code",
      "llmsTxt": "https://dev.meta.ai/llms.txt",
      "capabilities": [
        "agent.harness",
        "agent.mcp-client",
        "agent.multi-agent"
      ],
      "tags": [
        "official",
        "harness",
        "coding-agent",
        "cli",
        "closed-source",
        "mcp",
        "llms-txt",
        "sandbox",
        "approvals",
        "card-required"
      ],
      "lastRelease": "2026-10-24",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 56.2,
        "grade": "C",
        "agentReady": false,
        "rank": 751,
        "ranked": true,
        "rankOf": 1354,
        "categoryRank": 27,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 79,
          "maintenance": 75,
          "payments": 20,
          "reliability": 45,
          "schema": 84,
          "security": 67,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-02"
        },
        "negative": -5,
        "negativeNotes": [
          "2026-10-24. Security fixes released without an advisory, -3. Muse Code's release notes describe flaws in its own code fixed in released versions, among them sandboxed commands able to read or change sign-in details and approval rules in ~/.config/muse (1.4.10, 16 October 2026), Sapling commands running outside the sandbox (1.4.12, 22 October) and untrusted workspaces receiving project rules from a trusted session (1.4.13, 24 October), with 1.4.6's `find -exec rm` approval gap (11 October). OSV holds no advisory for either SDK, and repeats fold into one term. Source https://dev.meta.ai/docs/muse-code/changelog.md",
          "2026-11-02. Telemetry on by default without disclosure, -2. The settings page lists only \"telemetry options\", and the release notes speak of a saved opt-out for feedback and diagnostic upload and for the remote settings check, but no page says what is sent or that it's on by default. Source https://dev.meta.ai/docs/muse-code/configuration.md"
        ],
        "verdict": "Muse Code runs with approvals and an OS sandbox on by default, per-host network approval, an append-only event log and a headless mode with documented exit codes. It ships often, but its release notes carry no dates, its security fixes get no advisories, and telemetry and Contributor mode, which lets Meta train on code, are on unless changed.",
        "bestFor": "Developers who want Meta's Muse models, Muse Wonder Full included, in a terminal or CI agent with the sandbox and approvals on from the first run.",
        "strengths": [
          "Sandbox on by default (Seatbelt on macOS, bubblewrap on Linux), with `.git`, `.muse` and `.agents` read-only and shell commands refused if containment can't be confirmed",
          "Network access is proxy-only by default, and the first connection to each new host, port or protocol stops for review",
          "`muse exec --json` streams JSONL events, with exit codes 0, 1, 2, 130 and 143 documented and `--max-model-steps` to cap a run",
          "A versioned session protocol (`muse serve`, `muse schema`) with MIT-licensed TypeScript and Python SDKs released in step with the CLI",
          "MCP over stdio and streamable HTTP with OAuth 2.1 sign-in, and named toolsets that select MCP tools by name or prefix"
        ],
        "weaknesses": [
          "Closed source, with no public CI or issue tracker for the CLI found and release notes that carry no dates",
          "Subscriptions default to Contributor mode, which lets Meta train on prompts, code and responses until it's turned off",
          "No free route. Plans run from $5 to $200 a month, and pay-as-you-go billing needs a card",
          "Sandbox and trust flaws fixed in 1.4.10 to 1.4.13 were described only in release notes, with no advisory",
          "MCP tools run outside the sandbox, and telemetry is on with no page saying what it sends"
        ],
        "agentNotes": [
          "Set `META_API_KEY` for headless runs. Browser sign-in isn't available in CI or for Meta Managed Accounts",
          "Gate on your own test command, not the exit code. `muse exec` returns 0 when the turn completes even if tests still fail",
          "Pass `--max-model-steps` on unattended runs so a stuck task can't loop",
          "Prefer `--disable-approval` to `--yolo` in CI so the sandbox stays on. On Linux the runner needs a working bubblewrap and a non-musl build",
          "Turn Contributor mode off in `/settings` before a subscription session touches private code"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.2
          }
        ],
        "editorialScores": {
          "ergonomics": 79,
          "maintenance": 75,
          "payments": 20,
          "reliability": 45,
          "schema": 84,
          "security": 67,
          "transparency": 46
        },
        "provenanceScore": 65,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-02",
            "maintenance": "2026-11-02",
            "payments": "2026-11-02",
            "reliability": "2026-11-02",
            "schema": "2026-11-02",
            "security": "2026-11-02",
            "transparency": "2026-11-02"
          },
          "last": "2026-11-02",
          "lastMoved": "2026-11-02",
          "oldest": "2026-11-02",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "curl -fsSL https://dev.meta.ai/install.sh | sh   # Windows: irm https://dev.meta.ai/install.ps1 | iex",
        "headless": {
          "env": {
            "META_API_KEY": "\u003cyour-key\u003e"
          },
          "run": "muse exec --json \"Refactor the auth module and run the tests.\""
        }
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/muse-code"
      },
      "sameCompany": [
        "meta-model-api",
        "muse-spark-open",
        "muse-glimmer-30b"
      ],
      "area": "frameworks",
      "unitPrices": [
        {
          "item": "Everyday Usage plan",
          "unit": "month",
          "usd": 5,
          "note": "10 to 50 prompts every 5 hours."
        },
        {
          "item": "High Usage plan",
          "unit": "month",
          "usd": 15,
          "note": "5x the Everyday Usage plan."
        },
        {
          "item": "Power Usage plan",
          "unit": "month",
          "usd": 50,
          "note": "20x the Everyday Usage plan, with Muse Wonder Full."
        },
        {
          "item": "Maximum Usage plan",
          "unit": "month",
          "usd": 200,
          "note": "80x the Everyday Usage plan, with Muse Wonder Full."
        }
      ],
      "provenance": {
        "legalEntity": "Meta Platforms, Inc.",
        "domain": "meta.ai",
        "domainRegistered": "2017-12-16",
        "endpointOnVendorDomain": null,
        "terms": "https://dev.meta.ai/legal/terms-of-service",
        "privacy": "https://www.facebook.com/privacy/policy/",
        "statusPage": "",
        "changelog": "https://dev.meta.ai/docs/muse-code/changelog",
        "securityTxt": "none",
        "checked": "2026-11-02",
        "notes": [
          "The Meta Model API Terms of Service (last updated 9 October 2026) cover an artificial intelligence coding harness and name Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region. The subscription page adds the Meta Subscription Terms of Service.",
          "The privacy field is the Meta Privacy Policy, which the terms link. www.facebook.com's robots.txt asks readers like ours not to fetch it, as the 8 October policy reading records, so it wasn't read.",
          "RDAP for meta.ai gives a registration date of 16 December 2017. The model calls go to api.meta.ai, and the binaries download from lookaside.facebook.com.",
          "No status page for Meta Model API was found. dev.meta.ai/status redirects to the home page.",
          "dev.meta.ai/code and developer.meta.com/ai/products/muse-code redirect to dev.meta.ai/products/muse-code.",
          "dev.meta.ai/.well-known/security.txt returns 404 on 2 November 2026. The SDK repository's SECURITY.md sends vulnerability reports to bugbounty.meta.com, whose robots.txt disallows our reader.",
          "api.meta.ai, which serves the release channel and the launcher, disallows every path in robots.txt, so the 12 October manifest reading is struck."
        ],
        "score": 65
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/muse-code.json",
      "live": {
        "slug": "muse-code",
        "versions": [
          {
            "registry": "npm",
            "name": "@muse-code/sdk",
            "version": "1.4.14",
            "seenAt": "2026-11-05T21:50:08.042691376Z"
          },
          {
            "registry": "pypi",
            "name": "muse-code-sdk",
            "version": "1.4.14",
            "released": "2026-10-27",
            "seenAt": "2026-11-05T21:50:08.934543886Z"
          }
        ],
        "githubStars": 84,
        "npmWeekly": 440516,
        "pypiWeekly": 192,
        "securityTxt": {
          "url": "https://meta.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-05T15:55:33.018883278Z"
        },
        "llmsTxt": {
          "url": "https://dev.meta.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-05T15:26:39.382423761Z"
        },
        "domain": {
          "domain": "meta.ai",
          "registered": "2017-12-16",
          "source": "https://rdap.identitydigital.services/rdap/domain/meta.ai",
          "checkedAt": "2026-11-01T14:15:25.518716318Z"
        },
        "pages": [
          {
            "url": "https://dev.meta.ai/docs/muse-code/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-11-05T12:49:19.733541444Z",
            "changedAt": "2026-10-25T02:42:31.128826665Z",
            "fingerprint": "3c25b9e93898"
          }
        ],
        "github": {
          "repo": "meta-models/muse-code-sdk",
          "checkedAt": "2026-11-02T09:05:21.144468378Z",
          "stars": 81,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-11-02T06:26:54Z",
          "openIssues": 78,
          "openPRs": 5,
          "issuesOpened90d": 99,
          "issuesClosed90d": 21,
          "prsMerged90d": 17,
          "replies": {
            "sampled": 25,
            "unanswered": 22,
            "medianDays": 1
          }
        },
        "updatedAt": "2026-11-05T21:50:09.118913564Z"
      }
    },
    "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Muse Code's 56.2 (C), and leads in every scored category.",
    "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": 29,
        "category": "transparency",
        "leads": "openai-agents-api",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Closed-source binary under the Meta Model API Terms of Service, with MIT SDKs (15). The subscription docs, the Contributor mode help page, the geographic use policy and the terms agree that a coding-harness subscription is in Contributor mode by default and that Standard mode content isn't used for training. Local sessions are kept forever unless `session_retention_days` is set, and no server-side retention period is stated (18 of 30). No deprecation policy. Deprecated aliases are named in undated release notes (5 of 20). Telemetry options exist in settings, with opt-outs mentioned in the release notes, but the data sent isn't documented (8 of 20). 15 + 18 + 5 + 8 = 46.",
          "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": 56,
          "b": 85
        }
      },
      {
        "by": 20,
        "category": "security",
        "leads": "openai-agents-api",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. A browser session or a Model API key, cleared by `muse logout`. Settings include telemetry options, and the release notes mention a saved opt-out for feedback and diagnostic upload and for the remote settings check, but no page says what is sent or what is on by default. Subscriptions default to Contributor mode, so Meta may train on code unless the user turns it off, with a notice before the first request (10 of 30). Ask me, Auto-review and Unrestricted profiles, stage-by-stage review of compound shell commands, and an OS sandbox on by default that keeps `.git`, `.muse` and `.agents` read-only and refuses to run when it can't confirm containment. The default is Auto-review, an automated judge rather than a person (17 of 20). Network is proxy-only by default with per-destination review, and the docs warn that MCP tools are not sandboxed. The 1.4.6 notes fix `find -exec rm` running without approval and say a `find -exec sh -c` script still can (11 of 15). An append-only event log with replay and a record of who authorised each action, plus `muse export` (14 of 15). Meta's bug bounty, named in the SDK's SECURITY.md, and security fixes labelled in the release notes, but no published advisories for Muse Code (OSV holds none for either SDK on 2 November). The 12 October reading of www.facebook.com's security.txt is struck (that host's robots.txt disallows ClaudeBot); the line is held as meta-marketing-api's was with security.txt unread (15 of 20). 10 + 17 + 11 + 14 + 15 = 67. Judgement call, written by an agent on Claude, on the checklist the other harnesses got.",
          "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": 67,
          "b": 87
        }
      },
      {
        "by": 15,
        "category": "reliability",
        "leads": "openai-agents-api",
        "name": "Reliability",
        "reasons": {
          "a": "Local-package reading. Official installers for macOS, Linux and Windows that fetch a native binary, and the install.sh script checks the launcher's SHA-256 against the advertised sum (20). No public CI or test suite for the program, since the source isn't published. The SDK repository's workflows only publish to npm, PyPI and crates.io, by hand (0). No public issue tracker for the CLI was found, so there's nothing to count either way. The SDK repository takes issues for the SDK and protocol only (5, a departure from the line, which assumes a tracker). Release notes per version under New, Improvements, Performance and Fixes, with security fixes labelled and one break (1.4.8's profile refusal) announced in the 1.4.6 notes, but no dates and no breaking-change heading (5). 1.4.13 (15). Same reading as Claude Code, which is also closed source. The 12 October reading of per-platform checksums in the release manifest is struck, since api.meta.ai's robots.txt now disallows every path. 20 + 0 + 5 + 5 + 15 = 45.",
          "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": 45,
          "b": 60
        }
      },
      {
        "by": 12,
        "category": "maintenance",
        "leads": "openai-agents-api",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "1.4.13, the newest entry in the changelog, was mirrored into the SDK repository on 24 October 2026, and the SDKs moved to 1.4.14 there on 27 October (30). The SDK repository's dated release mirrors since 4 August are 1.3.0 (16 and 17 September), 1.3.1 (21 September), 1.4.2 (30 September), 1.4.4 (8 October), 1.4.6 (11 October), 1.4.7 (13 October), 1.4.8 (14 October), 1.4.9 (15 October), 1.4.10 (16 October), 1.4.11 (19 October), 1.4.12 (22 October), 1.4.13 (24 October) and 1.4.14 (27 October) (20). No public tracker for the CLI. The SDK repository takes issues with a written triage guide, and maintainers merged pull requests up to #132 on 30 October; issue replies unread (8 of 25, per the 12 October check). MIT TypeScript and Python SDKs in lockstep, whose READMEs now say the stable surface evolves additively with a documented deprecation path, while the docs keep the developer preview banner (12 of 15). A checksummed launcher, but no public CI for the program (5 of 10). 30 + 20 + 8 + 12 + 5 = 75.",
          "b": "Closed API. Last dated change 16 October 2026, Ultrafast mode and document skills (30). Four dated changelog entries in the 57 days since release, 10 September, 29 September, 9 October and 16 October (20). Changelog and help centre, as the openai-api listing reads them (12 of 15). Official SDKs carry beta.agents (15). SDK CI, per the openai-api listing (10). 30 + 20 + 12 + 15 + 10 = 87."
        },
        "scores": {
          "a": 75,
          "b": 87
        }
      },
      {
        "by": 10,
        "category": "payments",
        "leads": "openai-agents-api",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "Harness reading of the published rubric. No payment protocol (0). Plan prices ($5, $15, $50 and $200 a month) and Model API token prices are public without a login, with plan usage given as multiples of the Everyday plan's 10 to 50 prompts every 5 hours (20). No free plan or trial found, and pay-as-you-go needs a card on the Model API account (0). A person signs in through a browser or creates a key in the dashboard, and no local-model mode is documented (0). 0 + 20 + 0 + 0 = 20.",
          "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": 20,
          "b": 30
        }
      }
    ],
    "facts": [
      {
        "a": "Agent harness",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Meta",
        "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": "OAuth or key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Paid",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary binary, used under the Meta Model API Terms of Service, which cover Meta's coding harness. Subscriptions are also under the Meta Subscription Terms of Service. The TypeScript and Python SDKs in the linked repository are MIT.",
        "b": "Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0",
        "name": "Licence"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-24",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "2026-10-02",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "63k npm/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.3/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Muse Code's 56.2 (C), and leads in every scored category.",
        "question": "Which is better for AI agents, Muse Code or OpenAI Agents API?"
      },
      {
        "answer": "No hosted endpoint is listed for Muse Code. OpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions.",
        "question": "Can an agent call Muse Code and OpenAI Agents API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": null,
        "goodFor": "Developers who want Meta's Muse models, Muse Wonder Full included, in a terminal or CI agent with the sandbox and approvals on from the first run.",
        "slug": "muse-code",
        "watchFor": "Closed source, with no public CI or issue tracker for the CLI found and release notes that carry no dates"
      },
      {
        "aheadOn": [
          "Reliability, 60 against 45",
          "Security \u0026 auth, 87 against 67",
          "Payments \u0026 pricing, 30 against 20",
          "Maintenance \u0026 community, 87 against 75",
          "Transparency \u0026 trust, 85 against 56"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "A hosted endpoint, with nothing to install",
          "No incidents deducted, where Muse Code 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": {
      "muse-code": [
        {
          "causes": [
            "correction"
          ],
          "date": "2026-11-02",
          "delta": -5,
          "from": 61.2,
          "fromGrade": "C",
          "to": 56.2,
          "toGrade": "C"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-30",
          "delta": -0.2,
          "from": 61.4,
          "fromGrade": "C",
          "to": 61.2,
          "toGrade": "C"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-27",
          "delta": 0.1,
          "from": 61.3,
          "fromGrade": "C",
          "to": 61.4,
          "toGrade": "C"
        }
      ],
      "openai-agents-api": null
    },
    "job": {
      "capability": "agent.harness",
      "name": "Agent harnesses"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agent-zero-vs-muse-code.json",
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        "url": "https://www.anchorterminal.com/compare/agent-zero-vs-muse-code"
      },
      {
        "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": "https://www.anchorterminal.com/compare/aider-vs-muse-code.json",
        "title": "Aider vs Muse Code",
        "url": "https://www.anchorterminal.com/compare/aider-vs-muse-code"
      },
      {
        "json": "https://www.anchorterminal.com/compare/aider-vs-openai-agents-api.json",
        "title": "Aider vs OpenAI Agents API",
        "url": "https://www.anchorterminal.com/compare/aider-vs-openai-agents-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amp-vs-muse-code.json",
        "title": "Amp vs Muse Code",
        "url": "https://www.anchorterminal.com/compare/amp-vs-muse-code"
      },
      {
        "json": "https://www.anchorterminal.com/compare/amp-vs-openai-agents-api.json",
        "title": "Amp vs OpenAI Agents API",
        "url": "https://www.anchorterminal.com/compare/amp-vs-openai-agents-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antigravity-cli-vs-muse-code.json",
        "title": "Antigravity CLI vs Muse Code",
        "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-muse-code"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antigravity-cli-vs-openai-agents-api.json",
        "title": "Antigravity CLI vs OpenAI Agents API",
        "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-openai-agents-api"
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      {
        "json": "https://www.anchorterminal.com/compare/auggie-vs-muse-code.json",
        "title": "Auggie CLI vs Muse Code",
        "url": "https://www.anchorterminal.com/compare/auggie-vs-muse-code"
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      {
        "json": "https://www.anchorterminal.com/compare/auggie-vs-openai-agents-api.json",
        "title": "Auggie CLI vs OpenAI Agents API",
        "url": "https://www.anchorterminal.com/compare/auggie-vs-openai-agents-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/axlr-vs-muse-code.json",
        "title": "AXLR vs Muse Code",
        "url": "https://www.anchorterminal.com/compare/axlr-vs-muse-code"
      },
      {
        "json": "https://www.anchorterminal.com/compare/axlr-vs-openai-agents-api.json",
        "title": "AXLR vs OpenAI Agents API",
        "url": "https://www.anchorterminal.com/compare/axlr-vs-openai-agents-api"
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      {
        "json": "https://www.anchorterminal.com/compare/claude-code-vs-muse-code.json",
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        "url": "https://www.anchorterminal.com/compare/claude-code-vs-muse-code"
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      {
        "json": "https://www.anchorterminal.com/compare/claude-code-vs-openai-agents-api.json",
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        "url": "https://www.anchorterminal.com/compare/claude-code-vs-openai-agents-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cline-vs-muse-code.json",
        "title": "Cline vs Muse Code",
        "url": "https://www.anchorterminal.com/compare/cline-vs-muse-code"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cline-vs-openai-agents-api.json",
        "title": "Cline vs OpenAI Agents API",
        "url": "https://www.anchorterminal.com/compare/cline-vs-openai-agents-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/crush-vs-muse-code.json",
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        "url": "https://www.anchorterminal.com/compare/crush-vs-muse-code"
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      {
        "json": "https://www.anchorterminal.com/compare/crush-vs-openai-agents-api.json",
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        "url": "https://www.anchorterminal.com/compare/crush-vs-openai-agents-api"
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        "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-muse-code"
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      {
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        "url": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-muse-code"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api.json",
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        "url": "https://www.anchorterminal.com/compare/devin-vs-muse-code"
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      {
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        "url": "https://www.anchorterminal.com/compare/devin-vs-openai-agents-api"
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      {
        "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-muse-code.json",
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        "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-muse-code"
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      {
        "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-openai-agents-api.json",
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        "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-openai-agents-api"
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        "url": "https://www.anchorterminal.com/compare/goose-vs-muse-code"
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      {
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        "url": "https://www.anchorterminal.com/compare/jules-vs-muse-code"
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      {
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        "url": "https://www.anchorterminal.com/compare/jules-vs-openai-agents-api"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/junie-vs-muse-code"
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      {
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        "url": "https://www.anchorterminal.com/compare/junie-vs-openai-agents-api"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-muse-code"
      },
      {
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        "url": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-openai-agents-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-muse-code.json",
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        "url": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-muse-code"
      },
      {
        "json": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-openai-agents-api.json",
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        "url": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-openai-agents-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/kiro-cli-vs-muse-code.json",
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        "url": "https://www.anchorterminal.com/compare/kiro-cli-vs-muse-code"
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      {
        "json": "https://www.anchorterminal.com/compare/kiro-cli-vs-openai-agents-api.json",
        "title": "Kiro CLI vs OpenAI Agents API",
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    "scores": [
      {
        "by": 15,
        "edge": "openai-agents-api",
        "key": "reliability",
        "muse-code": 45,
        "name": "Reliability",
        "openai-agents-api": 60,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 4,
        "edge": "openai-agents-api",
        "key": "schema",
        "muse-code": 84,
        "name": "Schema \u0026 documentation",
        "openai-agents-api": 88,
        "weight": 13
      },
      {
        "by": 1,
        "edge": "openai-agents-api",
        "key": "ergonomics",
        "muse-code": 79,
        "name": "Agent ergonomics",
        "openai-agents-api": 80,
        "weight": 13
      },
      {
        "by": 20,
        "edge": "openai-agents-api",
        "key": "security",
        "muse-code": 67,
        "name": "Security \u0026 auth",
        "openai-agents-api": 87,
        "weight": 14
      },
      {
        "by": 10,
        "edge": "openai-agents-api",
        "key": "payments",
        "muse-code": 20,
        "name": "Payments \u0026 pricing",
        "openai-agents-api": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 12,
        "edge": "openai-agents-api",
        "key": "maintenance",
        "muse-code": 75,
        "name": "Maintenance \u0026 community",
        "openai-agents-api": 87,
        "weight": 7
      },
      {
        "by": 29,
        "edge": "openai-agents-api",
        "key": "transparency",
        "muse-code": 56,
        "name": "Transparency \u0026 trust",
        "openai-agents-api": 85,
        "weight": 7
      }
    ],
    "summary": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Muse Code's 56.2 (C), and leads in every scored category. Both do agent harnesses.",
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    "verdicts": {
      "muse-code": "Muse Code runs with approvals and an OS sandbox on by default, per-host network approval, an append-only event log and a headless mode with documented exit codes. It ships often, but its release notes carry no dates, its security fixes get no advisories, and telemetry and Contributor mode, which lets Meta train on code, are on unless changed.",
      "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."
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  "markdown": "OpenAI Agents API scores 73.3 (BB) on agent readiness against Muse Code's 56.2 (C), and leads in every scored category. Both do agent harnesses.\n\n- Muse Code: grade C, 56.2/100, rank #751 of 1354. Markdown https://www.anchorterminal.com/tools/muse-code.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-code.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### Muse Code (C)\n\nGood for: Developers who want Meta's Muse models, Muse Wonder Full included, in a terminal or CI agent with the sandbox and approvals on from the first run.\n\nWatch for: Closed source, with no public CI or issue tracker for the CLI found and release notes that carry no dates\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- Reliability, 60 against 45\n- Security \u0026 auth, 87 against 67\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 87 against 75\n- Transparency \u0026 trust, 85 against 56\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n- No incidents deducted, where Muse Code 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### Transparency \u0026 trust: OpenAI Agents API +29\n\n- Muse Code (56): Closed-source binary under the Meta Model API Terms of Service, with MIT SDKs (15). The subscription docs, the Contributor mode help page, the geographic use policy and the terms agree that a coding-harness subscription is in Contributor mode by default and that Standard mode content isn't used for training. Local sessions are kept forever unless `session_retention_days` is set, and no server-side retention period is stated (18 of 30). No deprecation policy. Deprecated aliases are named in undated release notes (5 of 20). Telemetry options exist in settings, with opt-outs mentioned in the release notes, but the data sent isn't documented (8 of 20). 15 + 18 + 5 + 8 = 46.\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### Security \u0026 auth: OpenAI Agents API +20\n\n- Muse Code (67): Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. A browser session or a Model API key, cleared by `muse logout`. Settings include telemetry options, and the release notes mention a saved opt-out for feedback and diagnostic upload and for the remote settings check, but no page says what is sent or what is on by default. Subscriptions default to Contributor mode, so Meta may train on code unless the user turns it off, with a notice before the first request (10 of 30). Ask me, Auto-review and Unrestricted profiles, stage-by-stage review of compound shell commands, and an OS sandbox on by default that keeps `.git`, `.muse` and `.agents` read-only and refuses to run when it can't confirm containment. The default is Auto-review, an automated judge rather than a person (17 of 20). Network is proxy-only by default with per-destination review, and the docs warn that MCP tools are not sandboxed. The 1.4.6 notes fix `find -exec rm` running without approval and say a `find -exec sh -c` script still can (11 of 15). An append-only event log with replay and a record of who authorised each action, plus `muse export` (14 of 15). Meta's bug bounty, named in the SDK's SECURITY.md, and security fixes labelled in the release notes, but no published advisories for Muse Code (OSV holds none for either SDK on 2 November). The 12 October reading of www.facebook.com's security.txt is struck (that host's robots.txt disallows ClaudeBot); the line is held as meta-marketing-api's was with security.txt unread (15 of 20). 10 + 17 + 11 + 14 + 15 = 67. Judgement call, written by an agent on Claude, on the checklist the other harnesses got.\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### Reliability: OpenAI Agents API +15\n\n- Muse Code (45): Local-package reading. Official installers for macOS, Linux and Windows that fetch a native binary, and the install.sh script checks the launcher's SHA-256 against the advertised sum (20). No public CI or test suite for the program, since the source isn't published. The SDK repository's workflows only publish to npm, PyPI and crates.io, by hand (0). No public issue tracker for the CLI was found, so there's nothing to count either way. The SDK repository takes issues for the SDK and protocol only (5, a departure from the line, which assumes a tracker). Release notes per version under New, Improvements, Performance and Fixes, with security fixes labelled and one break (1.4.8's profile refusal) announced in the 1.4.6 notes, but no dates and no breaking-change heading (5). 1.4.13 (15). Same reading as Claude Code, which is also closed source. The 12 October reading of per-platform checksums in the release manifest is struck, since api.meta.ai's robots.txt now disallows every path. 20 + 0 + 5 + 5 + 15 = 45.\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### Maintenance \u0026 community: OpenAI Agents API +12\n\n- Muse Code (75): 1.4.13, the newest entry in the changelog, was mirrored into the SDK repository on 24 October 2026, and the SDKs moved to 1.4.14 there on 27 October (30). The SDK repository's dated release mirrors since 4 August are 1.3.0 (16 and 17 September), 1.3.1 (21 September), 1.4.2 (30 September), 1.4.4 (8 October), 1.4.6 (11 October), 1.4.7 (13 October), 1.4.8 (14 October), 1.4.9 (15 October), 1.4.10 (16 October), 1.4.11 (19 October), 1.4.12 (22 October), 1.4.13 (24 October) and 1.4.14 (27 October) (20). No public tracker for the CLI. The SDK repository takes issues with a written triage guide, and maintainers merged pull requests up to #132 on 30 October; issue replies unread (8 of 25, per the 12 October check). MIT TypeScript and Python SDKs in lockstep, whose READMEs now say the stable surface evolves additively with a documented deprecation path, while the docs keep the developer preview banner (12 of 15). A checksummed launcher, but no public CI for the program (5 of 10). 30 + 20 + 8 + 12 + 5 = 75.\n- OpenAI Agents API (87): Closed API. Last dated change 16 October 2026, Ultrafast mode and document skills (30). Four dated changelog entries in the 57 days since release, 10 September, 29 September, 9 October and 16 October (20). Changelog and help centre, as the openai-api listing reads them (12 of 15). Official SDKs carry beta.agents (15). SDK CI, per the openai-api listing (10). 30 + 20 + 12 + 15 + 10 = 87.\n\n### Payments \u0026 pricing: OpenAI Agents API +10\n\n- Muse Code (20): Harness reading of the published rubric. No payment protocol (0). Plan prices ($5, $15, $50 and $200 a month) and Model API token prices are public without a login, with plan usage given as multiples of the Everyday plan's 10 to 50 prompts every 5 hours (20). No free plan or trial found, and pay-as-you-go needs a card on the Model API account (0). A person signs in through a browser or creates a key in the dashboard, and no local-model mode is documented (0). 0 + 20 + 0 + 0 = 20.\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## Score by category\n\n| Category | Weight | Muse Code | OpenAI Agents API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 60 | OpenAI Agents API +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 88 | OpenAI Agents API +4 |\n| Agent ergonomics | 13% (16.2 this run) | 79 | 80 | OpenAI Agents API +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 67 | 87 | OpenAI Agents API +20 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 30 | OpenAI Agents API +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 87 | OpenAI Agents API +12 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 56 | 85 | OpenAI Agents API +29 |\n| Negative events | ≤15 | -5 | 0 | |\n| **Total** | | **56.2 · C** | **73.3 · BB** | |\n\n## Facts side by side\n\n| Fact | Muse Code | OpenAI Agents API |\n| --- | --- | --- |\n| Kind | Agent harness | HTTP API |\n| Vendor | Meta | OpenAI |\n| Hosted endpoint | no (local only) | `https://api.openai.com/v1/agents/sessions` |\n| Transports |  | https |\n| Auth | OAuth or key | API key |\n| Pricing | Paid | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary binary, used under the Meta Model API Terms of Service, which cover Meta's coding harness. Subscriptions are also under the Meta Subscription Terms of Service. The TypeScript and Python SDKs in the linked repository are MIT. | Proprietary hosted API under OpenAI's Services Agreement. The SDKs are Apache 2.0 |\n| Read-only variant documented | yes | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-24 | 2026-10-16 |\n| Terms last updated | 2026-10-02 | couldn't be read |\n| Privacy policy last updated | couldn't be read | couldn't be read |\n| Customer content may train models | yes | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | 63k npm/wk | none |\n| Agent reviews | 3.3/5 (4) | none |\n\n## How the scores have moved\n\n### Muse Code\n\n- -5.0 on 2 November 2026: correction\n- -0.2 on 30 October 2026: checklist\n- +0.1 on 27 October 2026: checklist\n\n### OpenAI Agents API\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Muse Code.** Muse Code runs with approvals and an OS sandbox on by default, per-host network approval, an append-only event log and a headless mode with documented exit codes. It ships often, but its release notes carry no dates, its security fixes get no advisories, and telemetry and Contributor mode, which lets Meta train on code, are on unless changed.\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### Muse Code\n\n1. Set `META_API_KEY` for headless runs. Browser sign-in isn't available in CI or for Meta Managed Accounts\n2. Gate on your own test command, not the exit code. `muse exec` returns 0 when the turn completes even if tests still fail\n3. Pass `--max-model-steps` on unattended runs so a stuck task can't loop\n4. Prefer `--disable-approval` to `--yolo` in CI so the sandbox stays on. On Linux the runner needs a working bubblewrap and a non-musl build\n5. Turn Contributor mode off in `/settings` before a subscription session touches private code\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, Muse Code or OpenAI Agents API?\n\nOpenAI Agents API scores 73.3 (BB) on agent readiness against Muse Code's 56.2 (C), and leads in every scored category.\n\n### Can an agent call Muse Code and OpenAI Agents API without installing anything?\n\nNo hosted endpoint is listed for Muse Code. OpenAI Agents API has a hosted endpoint at https://api.openai.com/v1/agents/sessions.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/muse-code-vs-openai-agents-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/muse-code-vs-openai-agents-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"muse-code\", \"b\": \"openai-agents-api\"}`. From a terminal: `anchor compare muse-code openai-agents-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/muse-code.json and https://www.anchorterminal.com/api/v1/tools/openai-agents-api.json\n\n## Other comparisons with Muse Code or OpenAI Agents API\n\n- [Agent Zero vs Muse Code](https://www.anchorterminal.com/compare/agent-zero-vs-muse-code.md)\n- [Agent Zero vs OpenAI Agents API](https://www.anchorterminal.com/compare/agent-zero-vs-openai-agents-api.md)\n- [Aider vs Muse Code](https://www.anchorterminal.com/compare/aider-vs-muse-code.md)\n- [Aider vs OpenAI Agents API](https://www.anchorterminal.com/compare/aider-vs-openai-agents-api.md)\n- [Amp vs Muse Code](https://www.anchorterminal.com/compare/amp-vs-muse-code.md)\n- [Amp vs OpenAI Agents API](https://www.anchorterminal.com/compare/amp-vs-openai-agents-api.md)\n- [Antigravity CLI vs Muse Code](https://www.anchorterminal.com/compare/antigravity-cli-vs-muse-code.md)\n- [Antigravity CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/antigravity-cli-vs-openai-agents-api.md)\n- [Auggie CLI vs Muse Code](https://www.anchorterminal.com/compare/auggie-vs-muse-code.md)\n- [Auggie CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/auggie-vs-openai-agents-api.md)\n- [AXLR vs Muse Code](https://www.anchorterminal.com/compare/axlr-vs-muse-code.md)\n- [AXLR vs OpenAI Agents API](https://www.anchorterminal.com/compare/axlr-vs-openai-agents-api.md)\n- [Claude Code vs Muse Code](https://www.anchorterminal.com/compare/claude-code-vs-muse-code.md)\n- [Claude Code vs OpenAI Agents API](https://www.anchorterminal.com/compare/claude-code-vs-openai-agents-api.md)\n- [Cline vs Muse Code](https://www.anchorterminal.com/compare/cline-vs-muse-code.md)\n- [Cline vs OpenAI Agents API](https://www.anchorterminal.com/compare/cline-vs-openai-agents-api.md)\n- [Crush vs Muse Code](https://www.anchorterminal.com/compare/crush-vs-muse-code.md)\n- [Crush vs OpenAI Agents API](https://www.anchorterminal.com/compare/crush-vs-openai-agents-api.md)\n- [Cursor CLI vs Muse Code](https://www.anchorterminal.com/compare/cursor-cli-vs-muse-code.md)\n- [Cursor CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/cursor-cli-vs-openai-agents-api.md)\n- [DeepSeek Harness (dsh) vs Muse Code](https://www.anchorterminal.com/compare/deepseek-harness-vs-muse-code.md)\n- [DeepSeek Harness (dsh) vs OpenAI Agents API](https://www.anchorterminal.com/compare/deepseek-harness-vs-openai-agents-api.md)\n- [dsh-superagent (DeepSeek) vs Muse Code](https://www.anchorterminal.com/compare/deepseek-superagent-vs-muse-code.md)\n- [dsh-superagent (DeepSeek) vs OpenAI Agents API](https://www.anchorterminal.com/compare/deepseek-superagent-vs-openai-agents-api.md)\n- [Devin vs Muse Code](https://www.anchorterminal.com/compare/devin-vs-muse-code.md)\n- [Devin vs OpenAI Agents API](https://www.anchorterminal.com/compare/devin-vs-openai-agents-api.md)\n- [Droid CLI vs Muse Code](https://www.anchorterminal.com/compare/droid-cli-vs-muse-code.md)\n- [Droid CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/droid-cli-vs-openai-agents-api.md)\n- [Pi vs Muse Code](https://www.anchorterminal.com/compare/earendil-pi-vs-muse-code.md)\n- [Pi vs OpenAI Agents API](https://www.anchorterminal.com/compare/earendil-pi-vs-openai-agents-api.md)\n- [Gemini CLI vs Muse Code](https://www.anchorterminal.com/compare/gemini-cli-vs-muse-code.md)\n- [Gemini CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/gemini-cli-vs-openai-agents-api.md)\n- [GitHub Copilot CLI vs Muse Code](https://www.anchorterminal.com/compare/github-copilot-cli-vs-muse-code.md)\n- [GitHub Copilot CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/github-copilot-cli-vs-openai-agents-api.md)\n- [goose vs Muse Code](https://www.anchorterminal.com/compare/goose-vs-muse-code.md)\n- [goose vs OpenAI Agents API](https://www.anchorterminal.com/compare/goose-vs-openai-agents-api.md)\n- [Harness² vs Muse Code](https://www.anchorterminal.com/compare/harness2-vs-muse-code.md)\n- [Harness² vs OpenAI Agents API](https://www.anchorterminal.com/compare/harness2-vs-openai-agents-api.md)\n- [HarnessRouter vs Muse Code](https://www.anchorterminal.com/compare/harnessrouter-vs-muse-code.md)\n- [HarnessRouter vs OpenAI Agents API](https://www.anchorterminal.com/compare/harnessrouter-vs-openai-agents-api.md)\n- [Jules vs Muse Code](https://www.anchorterminal.com/compare/jules-vs-muse-code.md)\n- [Jules vs OpenAI Agents API](https://www.anchorterminal.com/compare/jules-vs-openai-agents-api.md)\n- [Junie CLI vs Muse Code](https://www.anchorterminal.com/compare/junie-vs-muse-code.md)\n- [Junie CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/junie-vs-openai-agents-api.md)\n- [Kilo Code CLI vs Muse Code](https://www.anchorterminal.com/compare/kilo-code-cli-vs-muse-code.md)\n- [Kilo Code CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/kilo-code-cli-vs-openai-agents-api.md)\n- [Kimi Code CLI vs Muse Code](https://www.anchorterminal.com/compare/kimi-code-cli-vs-muse-code.md)\n- [Kimi Code CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/kimi-code-cli-vs-openai-agents-api.md)\n- [Kiro CLI vs Muse Code](https://www.anchorterminal.com/compare/kiro-cli-vs-muse-code.md)\n- [Kiro CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/kiro-cli-vs-openai-agents-api.md)\n- [mini-swe-agent vs Muse Code](https://www.anchorterminal.com/compare/mini-swe-agent-vs-muse-code.md)\n- [mini-swe-agent vs OpenAI Agents API](https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-agents-api.md)\n- [MiniMax Code vs Muse Code](https://www.anchorterminal.com/compare/minimax-code-vs-muse-code.md)\n- [MiniMax Code vs OpenAI Agents API](https://www.anchorterminal.com/compare/minimax-code-vs-openai-agents-api.md)\n- [Mistral Vibe CLI vs Muse Code](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-muse-code.md)\n- [Mistral Vibe CLI vs OpenAI Agents API](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-openai-agents-api.md)\n- [Muse Code vs OpenAI Codex](https://www.anchorterminal.com/compare/muse-code-vs-openai-codex.md)\n- [Muse Code vs OpenCode](https://www.anchorterminal.com/compare/muse-code-vs-opencode.md)\n- [Muse Code vs OpenHands](https://www.anchorterminal.com/compare/muse-code-vs-openhands.md)\n- [Muse Code vs OpenMausBot](https://www.anchorterminal.com/compare/muse-code-vs-openmausbot.md)\n- [Muse Code vs Prime Agent](https://www.anchorterminal.com/compare/muse-code-vs-prime-agent.md)\n- [Muse Code vs Qoder CLI](https://www.anchorterminal.com/compare/muse-code-vs-qoder-cli.md)\n- [Muse Code vs Qwen Code](https://www.anchorterminal.com/compare/muse-code-vs-qwen-code.md)\n- [Muse Code vs Mirror CLI](https://www.anchorterminal.com/compare/muse-code-vs-reflection-mirror.md)\n- [Muse Code vs Rovo Dev CLI](https://www.anchorterminal.com/compare/muse-code-vs-rovo-dev-cli.md)\n- [Muse Code vs Unstoppable](https://www.anchorterminal.com/compare/muse-code-vs-unstoppable.md)\n- [Muse Code vs Vibe-Trading](https://www.anchorterminal.com/compare/muse-code-vs-vibe-trading.md)\n- [Muse Code vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/muse-code-vs-warp.md)\n- [OpenAI Agents API vs OpenAI Codex](https://www.anchorterminal.com/compare/openai-agents-api-vs-openai-codex.md)\n- [OpenAI Agents API vs OpenCode](https://www.anchorterminal.com/compare/openai-agents-api-vs-opencode.md)\n- [OpenAI Agents API vs OpenHands](https://www.anchorterminal.com/compare/openai-agents-api-vs-openhands.md)\n- [OpenAI Agents API vs OpenMausBot](https://www.anchorterminal.com/compare/openai-agents-api-vs-openmausbot.md)\n- [OpenAI Agents API vs Prime Agent](https://www.anchorterminal.com/compare/openai-agents-api-vs-prime-agent.md)\n- [OpenAI Agents API vs Qoder CLI](https://www.anchorterminal.com/compare/openai-agents-api-vs-qoder-cli.md)\n- [OpenAI Agents API vs Qwen Code](https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.md)\n- [OpenAI Agents API vs Mirror CLI](https://www.anchorterminal.com/compare/openai-agents-api-vs-reflection-mirror.md)\n- [OpenAI Agents API vs Rovo Dev CLI](https://www.anchorterminal.com/compare/openai-agents-api-vs-rovo-dev-cli.md)\n- [OpenAI Agents API vs Unstoppable](https://www.anchorterminal.com/compare/openai-agents-api-vs-unstoppable.md)\n- [OpenAI Agents API vs Vibe-Trading](https://www.anchorterminal.com/compare/openai-agents-api-vs-vibe-trading.md)\n- [OpenAI Agents API vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/openai-agents-api-vs-warp.md)\n- [Clawboo vs Muse Code](https://www.anchorterminal.com/compare/clawboo-vs-muse-code.md)\n- [CLI Manager vs Muse Code](https://www.anchorterminal.com/compare/cli-manager-vs-muse-code.md)\n- [Harness vs Muse Code](https://www.anchorterminal.com/compare/harness-autonomous-vs-muse-code.md)\n- [Muse Code vs Paperclip](https://www.anchorterminal.com/compare/muse-code-vs-paperclip.md)\n- [Muse Code vs Parallax](https://www.anchorterminal.com/compare/muse-code-vs-parallax-agents.md)\n",
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