{
  "data": {
    "a": {
      "slug": "gemini-cli",
      "name": "Gemini CLI",
      "vendor": "Google",
      "vendorUrl": "https://geminicli.com",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "Google's open-source coding agent for the terminal, in TypeScript on Node 20 or newer.",
      "url": "https://www.anchorterminal.com/tools/gemini-cli",
      "markdownUrl": "https://www.anchorterminal.com/tools/gemini-cli.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-cli.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-cli.json",
      "repo": "https://github.com/google-gemini/gemini-cli",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "npm",
          "name": "@google/gemini-cli"
        }
      ],
      "auth": "mixed",
      "authNotes": "Google sign-in works only with a Gemini Code Assist Standard or Enterprise licence. Google AI Pro, Google AI Ultra and the free Code Assist for individuals tier stopped working with Gemini CLI on 18 June 2026. Otherwise use a paid Gemini API key from AI Studio, or Vertex AI credentials. Google's terms forbid using the Gemini CLI sign-in from third-party software.",
      "pricing": "usage",
      "pricingNotes": "Free to install (Apache-2.0). Model access is paid. Use a paid Gemini API key or Vertex AI at token rates, or an existing Code Assist Standard or Enterprise licence. New Standard and Enterprise subscriptions ended on 9 October 2026. Token prices are public without a login, and requests are limited per minute (checked 2026-10-10). The free 1,000 requests a day tier ended on 18 June 2026, and whether an unpaid key still gets 250 Flash requests a day is unclear.",
      "priceSummary": "Pay per use",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-02).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 107000,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-02"
      },
      "docsUrl": "https://geminicli.com/docs/",
      "llmsTxt": "https://geminicli.com/llms.txt",
      "capabilities": [
        "agent.harness",
        "agent.mcp-client",
        "agent.multi-agent"
      ],
      "tags": [
        "official",
        "harness",
        "coding-agent",
        "cli",
        "open-source",
        "typescript",
        "mcp",
        "llms-txt",
        "telemetry-default-on",
        "pre-1.0",
        "gemini-only",
        "sign-in-ended",
        "paid-api-key"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 66.7,
        "grade": "B",
        "agentReady": false,
        "rank": 307,
        "ranked": true,
        "rankOf": 1135,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 78,
          "maintenance": 88,
          "payments": 20,
          "reliability": 71,
          "schema": 93,
          "security": 67,
          "transparency": 89
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-10"
        },
        "negative": -5,
        "negativeNotes": [
          "2026-04-24. GHSA-wpqr-6v78-jr5g, critical (CVSS 10). In CI, headless Gemini CLI trusted the workspace folder automatically and loaded its configuration, and `--yolo` ignored fine-grained tool allowlists, so a workflow fed untrusted pull requests or issues could run an attacker's code. Fixed in @google/gemini-cli 0.39.1 and run-gemini-cli 0.1.22 and published, so the deduction is small (https://github.com/advisories/GHSA-wpqr-6v78-jr5g)",
          "2026-06-18. Google sign-in for individuals ended on 18 June 2026. The README at main (9 October 2026) and the authentication page (checked 10 October 2026) still describe a free tier of 1,000 requests a day with a Google account, so the claim is misleading and the deduction is -3 (https://github.com/google-gemini/gemini-cli/blob/main/README.md; https://geminicli.com/docs/get-started/authentication/; https://developers.google.com/gemini-code-assist/docs/deprecations/code-assist-individuals)"
        ],
        "verdict": "Apache-2.0, with 16 stable releases since 3 July and documented headless output. Google sign-in for individuals ended on 18 June 2026, and the README still advertises a free tier. Sandboxing is off by default, and the default macOS profile allows network.",
        "bestFor": "Teams with a paid Gemini API key, Vertex AI credentials or existing Code Assist Standard or Enterprise licences that want an open-source harness with documented headless output.",
        "strengths": [
          "Apache-2.0 licence, CI passing on main, and 583 open issues with priority labels (as of 2 October 2026)",
          "A stable release every Tuesday after a week in preview, under a written release policy",
          "Headless JSON and stream-json output with documented exit codes, including 53 for the turn limit",
          "A TOML policy engine with admin policy paths, folder trust on by default and a setting that blocks yolo mode",
          "Pay-per-token access through a Gemini API key or Vertex AI, with token prices published without a login"
        ],
        "weaknesses": [
          "Sandboxing is off by default, and the default macOS profile allows network",
          "Google sign-in for individuals ended on 18 June 2026, but the README and authentication page still advertise a free tier of 1,000 requests a day",
          "A critical advisory in April 2026 (CVSS 10) for CI runs that trusted untrusted repositories",
          "Usage statistics on by default, with one setting to turn them off",
          "Pre-1.0 at 0.63.0, and Gemini models only"
        ],
        "agentNotes": [
          "Set `GEMINI_TRUST_WORKSPACE` to true only for trusted inputs in CI. Since 0.39.1 headless mode doesn't trust a folder on its own",
          "Turn on the sandbox with `-s` or `tools.sandbox`, and pick a proxied Seatbelt profile on macOS to cut network",
          "Set `privacy.usageStatisticsEnabled` to false to stop usage statistics",
          "Since 0.63.0, plans run without interactive confirmation in non-interactive mode, so set the approval mode explicitly before a headless run",
          "Authenticate with a paid Gemini API key or Vertex credentials. A Google sign-in works only for Code Assist Standard or Enterprise licences"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 66.7
          }
        ],
        "editorialScores": {
          "ergonomics": 78,
          "maintenance": 88,
          "payments": 20,
          "reliability": 71,
          "schema": 93,
          "security": 67,
          "transparency": 85
        },
        "provenanceScore": 93
      },
      "connect": {
        "install": "npm i -g @google/gemini-cli   # or: brew install gemini-cli",
        "headless": {
          "run": "gemini -p \"fix the failing test\" --output-format json --approval-mode auto_edit"
        }
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/gemini-cli"
      },
      "sameCompany": [
        "gemini-api",
        "gemini-embedding",
        "vertex-ai-tuning",
        "google-model-armor",
        "google-imagen",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "gemini-live",
        "google-adk",
        "google-secret-manager",
        "google-cloud-document-ai",
        "google-weather-api",
        "chrome-devtools-mcp",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "firebase-cloud-messaging",
        "google-drive-api",
        "gemini-enterprise",
        "google-search-console",
        "google-ads-api",
        "google-forms",
        "google-sheets-api",
        "gmail-api",
        "google-people-api"
      ],
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "google.com",
        "domainRegistered": "1997-09-15",
        "endpointOnVendorDomain": null,
        "terms": "https://geminicli.com/docs/resources/tos-privacy",
        "privacy": "https://policies.google.com/privacy",
        "statusPage": "https://aistudio.google.com/status",
        "changelog": "https://geminicli.com/docs/changelogs",
        "securityTxt": "valid",
        "checked": "2026-10-01",
        "notes": [
          "The docs are on geminicli.com. The terms page there maps each sign-in method to its own terms and privacy notice (Gemini Code Assist, the Gemini API unpaid and paid services, Google Cloud).",
          "The status page is the Gemini API's. We found no status page for Gemini Code Assist sign-ins.",
          "Legal entity, domain date and security.txt for google.com are from the gemini-api listing's check of 26 September 2026."
        ],
        "score": 93
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-cli.json",
      "live": {
        "slug": "gemini-cli",
        "vendorStatus": {
          "page": "https://aistudio.google.com/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-17T22:51:09.923537047Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "google-gemini/gemini-cli",
            "version": "v0.64.0",
            "released": "2026-10-13",
            "seenAt": "2026-10-18T02:48:27.714115814Z"
          },
          {
            "registry": "npm",
            "name": "@google/gemini-cli",
            "version": "0.64.0",
            "seenAt": "2026-10-18T02:48:27.488170794Z"
          }
        ],
        "githubStars": 107430,
        "npmWeekly": 236461,
        "securityTxt": {
          "url": "https://google.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2030-04-01T00:00:00z",
          "checkedAt": "2026-10-18T15:53:57.679955081Z"
        },
        "llmsTxt": {
          "url": "https://geminicli.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:05.894557385Z"
        },
        "domain": {
          "domain": "google.com",
          "registered": "1997-09-15",
          "source": "https://rdap.verisign.com/com/v1/domain/google.com",
          "checkedAt": "2026-10-18T13:31:32.666265227Z"
        },
        "pages": [
          {
            "url": "https://geminicli.com/docs/changelogs",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-17T23:03:35.835274464Z",
            "changedAt": "2026-10-16T22:24:43.917434922Z",
            "fingerprint": "24695165e4c4"
          },
          {
            "url": "https://developers.google.com/gemini-code-assist/docs/deprecations/code-assist-individuals",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-17T22:59:29.673341406Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "190698b01c9e"
          },
          {
            "url": "https://docs.cloud.google.com/gemini/docs/deprecations/features",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-17T23:00:36.755457202Z",
            "changedAt": "2026-10-17T23:00:36.755457202Z",
            "fingerprint": "aeb7fbfb42ee"
          },
          {
            "url": "https://geminicli.com/docs/resources/tos-privacy",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-17T23:03:37.863598286Z",
            "changedAt": "2026-10-16T22:24:46.06478046Z",
            "fingerprint": "5c52aa00c74e"
          }
        ],
        "updatedAt": "2026-10-18T15:53:57.679955081Z"
      }
    },
    "answer": "Gemini CLI scores 66.7 (B) on agent readiness against Harness²'s 41.6 (E), and leads in 6 of 7 scored categories. Harness² leads on payments \u0026 pricing.",
    "b": {
      "slug": "harness2",
      "name": "Harness²",
      "vendor": "Google (Google Research)",
      "vendorUrl": "https://harness2.github.io",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "Harness² is Google Research's open-source Python framework that has an editor model rewrite an agent's harness (prompts, guardrails, memory, tools, skills, subagents, scripts and plugins) for each task and keeps lessons for later tasks, with model weights fixed.",
      "url": "https://www.anchorterminal.com/tools/harness2",
      "markdownUrl": "https://www.anchorterminal.com/tools/harness2.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/harness2.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/harness2.json",
      "repo": "https://github.com/google-research/harness2",
      "license": "Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).",
      "transports": [],
      "packages": [],
      "auth": "none",
      "authNotes": "No Harness² account or key. Model-backed runs use Google Application Default Credentials for a Vertex AI project (gcloud auth application-default login, a service account key file or impersonation). The optional Codex bridge generates its own local access key.",
      "pricing": "free",
      "pricingNotes": "Free under Apache-2.0, with nothing to buy. Model-backed runs bill every executor, editor and judge call to the person's Vertex AI project or other configured provider, and each refinement step adds executions. The local demo needs no credentials.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the README, docs or source (checked 2026-10-18). The software has nothing to buy.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 4200,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-18"
      },
      "docsUrl": "https://github.com/google-research/harness2/tree/main/docs",
      "capabilities": [
        "agent.harness"
      ],
      "tags": [
        "open-source",
        "apache-2.0",
        "local",
        "self-hosted",
        "free",
        "python",
        "cli",
        "linux"
      ],
      "lastRelease": "2026-10-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 41.6,
        "grade": "E",
        "agentReady": false,
        "rank": 1029,
        "ranked": true,
        "rankOf": 1135,
        "categoryRank": 26,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 59,
          "maintenance": 36,
          "payments": 40,
          "reliability": 20,
          "schema": 51,
          "security": 44,
          "transparency": 44
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-18"
        },
        "negative": 0,
        "verdict": "Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.",
        "bestFor": "Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.",
        "strengths": [
          "Refining a harness needs no grader, rubric or answer key. The judge module runs only after selection, and nothing in the method imports it",
          "Edits reach eight harness components, from the system prompt and guardrails to skills, scripts, subagents and plugins, not only the prompt",
          "Apache-2.0, with upstream checkouts pinned by commit, a hash list for bundled files and each third-party runner's licence and provenance",
          "Rerunning a command resumes it, failed grades stay unscored rather than zero, and `--dry-run` previews task selection without model calls",
          "Each editor session's prompt, response, model and cost are written to an audit folder beside the run"
        ],
        "weaknesses": [
          "No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI",
          "The CLI accepts only JobBench, LAB and WorkBuddy-Bench, with no documented way to run it on your own tasks",
          "Executor network access is unrestricted, Codex runs with approvals and sandbox bypassed, and executors inherit the whole shell environment",
          "The quick start copies `.env.example`, which the repository doesn't contain, and no .gitignore keeps a filled-in .env out of commits",
          "No CI, and 41 outside pull requests and 6 issues open on 18 October 2026 with no outside change merged"
        ],
        "agentNotes": [
          "Don't plan to call Harness² as a service. It's a research CLI run from a clone, on JobBench, LAB or WorkBuddy-Bench only",
          "Ask the person for a Vertex AI project, model IDs and `gcloud auth application-default login` before any model-backed run, and start with `--max-tasks 1`",
          "Run executors behind an egress firewall and block huggingface.co and github.com after setup, as the docs advise, so rubrics can't be fetched",
          "Write .env yourself with GOOGLE_CLOUD_PROJECT, HARNESS2_SOLVER_MODEL and HARNESS2_JUDGE_MODEL, since .env.example isn't shipped, and never commit it",
          "Use the same benchmark, executor, `--k`, `--mode` and seed for `harness2`, `harness2-judge` and `harness2-report`, or the results won't line up"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 41.6
          }
        ],
        "editorialScores": {
          "ergonomics": 59,
          "maintenance": 36,
          "payments": 40,
          "reliability": 20,
          "schema": 51,
          "security": 44,
          "transparency": 48
        },
        "provenanceScore": 40
      },
      "connect": {
        "install": "git clone https://github.com/google-research/harness2.git \u0026\u0026 cd harness2 \u0026\u0026 uv venv --python 3.12 .venv \u0026\u0026 source .venv/bin/activate \u0026\u0026 uv pip install -e '.[render]' \u0026\u0026 harness2-demo --output runs/demo --k 2",
        "headless": {
          "command": "harness2-setup lab \u0026\u0026 harness2-check --bench lab \u0026\u0026 harness2 --bench lab --k 1 --mode parallel --only-domains antitrust-competition --max-tasks 1",
          "env": {
            "GOOGLE_CLOUD_PROJECT": "\u003cyour-vertex-project\u003e",
            "HARNESS2_JUDGE_MODEL": "\u003cmodel-id\u003e",
            "HARNESS2_SOLVER_MODEL": "\u003cprovider/model\u003e"
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/harness2"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "harness2.github.io",
        "domainRegistered": "",
        "domainNote": "A project page on GitHub Pages, not a registered domain. The code is in the google-research organisation on GitHub.",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-18",
        "notes": [
          "LICENSE is Apache-2.0, and pyproject.toml and every source file name Google LLC. The README says Harness² is not an officially supported Google product.",
          "No terms or privacy policy govern the package or the project page. Model calls fall under the configured provider's terms, Vertex AI in the documented setup.",
          "The repository has no SECURITY.md, and harness2.github.io/.well-known/security.txt returns 404. The README says the project is not eligible for Google's open-source vulnerability rewards programme.",
          "No changelog, tags or GitHub releases. The version is 0.1.0 in pyproject.toml.",
          "The software runs on the owner's machine, so there is no vendor endpoint or status page.",
          "The project page has no robots.txt and carries a noindex, nofollow robots meta tag. It was read once as a public page."
        ],
        "score": 40
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/harness2.json"
    },
    "facts": [
      {
        "a": "Agent harness",
        "b": "Agent harness",
        "name": "Kind"
      },
      {
        "a": "Google",
        "b": "Google (Google Research)",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "OAuth or key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0",
        "b": "Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-06",
        "b": "2026-10-08",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "2026-10-01",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "107k stars",
        "b": "4.2k stars",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (2)",
        "b": "2.5/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Gemini CLI scores 66.7 (B) on agent readiness against Harness²'s 41.6 (E), and leads in 6 of 7 scored categories. Harness² leads on payments \u0026 pricing.",
        "question": "Which is better for AI agents, Gemini CLI or Harness²?"
      },
      {
        "answer": "Yes. Gemini CLI is open source (Apache-2.0). Harness² is open source (Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).).",
        "question": "Are Gemini CLI and Harness² open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 71 against 20",
          "Schema \u0026 documentation, 93 against 51",
          "Agent ergonomics, 78 against 59",
          "Security \u0026 auth, 67 against 44",
          "Maintenance \u0026 community, 88 against 36",
          "Transparency \u0026 trust, 89 against 44"
        ],
        "also": [
          "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5"
        ],
        "goodFor": "Teams with a paid Gemini API key, Vertex AI credentials or existing Code Assist Standard or Enterprise licences that want an open-source harness with documented headless output.",
        "slug": "gemini-cli",
        "watchFor": "Sandboxing is off by default, and the default macOS profile allows network"
      },
      {
        "aheadOn": [
          "Payments \u0026 pricing, 40 against 20"
        ],
        "also": [
          "No key needed to call it",
          "No incidents deducted, where Gemini CLI loses 5 points for them"
        ],
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    "scores": [
      {
        "by": 51,
        "edge": "gemini-cli",
        "gemini-cli": 71,
        "harness2": 20,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 42,
        "edge": "gemini-cli",
        "gemini-cli": 93,
        "harness2": 51,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 19,
        "edge": "gemini-cli",
        "gemini-cli": 78,
        "harness2": 59,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 23,
        "edge": "gemini-cli",
        "gemini-cli": 67,
        "harness2": 44,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 20,
        "edge": "harness2",
        "gemini-cli": 20,
        "harness2": 40,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 52,
        "edge": "gemini-cli",
        "gemini-cli": 88,
        "harness2": 36,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 45,
        "edge": "gemini-cli",
        "gemini-cli": 89,
        "harness2": 44,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Gemini CLI scores 66.7 (B) on agent readiness against Harness²'s 41.6 (E), and leads in 6 of 7 scored categories. Harness² leads on payments \u0026 pricing. Both do agent harnesses.",
    "tutorials": [],
    "verdicts": {
      "gemini-cli": "Apache-2.0, with 16 stable releases since 3 July and documented headless output. Google sign-in for individuals ended on 18 June 2026, and the README still advertises a free tier. Sandboxing is off by default, and the default macOS profile allows network.",
      "harness2": "Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims."
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  "markdown": "Gemini CLI scores 66.7 (B) on agent readiness against Harness²'s 41.6 (E), and leads in 6 of 7 scored categories. Harness² leads on payments \u0026 pricing. Both do agent harnesses.\n\n- Gemini CLI: grade B, 66.7/100, rank #307 of 1135. Markdown https://www.anchorterminal.com/tools/gemini-cli.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-cli.json\n- Harness²: grade E, 41.6/100, rank #1029 of 1135. Markdown https://www.anchorterminal.com/tools/harness2.md · JSON https://www.anchorterminal.com/api/v1/tools/harness2.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 354 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### Gemini CLI (B)\n\nGood for: Teams with a paid Gemini API key, Vertex AI credentials or existing Code Assist Standard or Enterprise licences that want an open-source harness with documented headless output.\n\nAhead on:\n- Reliability, 71 against 20\n- Schema \u0026 documentation, 93 against 51\n- Agent ergonomics, 78 against 59\n- Security \u0026 auth, 67 against 44\n- Maintenance \u0026 community, 88 against 36\n- Transparency \u0026 trust, 89 against 44\n\nAlso in its favour:\n- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5\n\nWatch for: Sandboxing is off by default, and the default macOS profile allows network\n\n### Harness² (E)\n\nGood for: Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 20\n\nAlso in its favour:\n- No key needed to call it\n- No incidents deducted, where Gemini CLI loses 5 points for them\n\nWatch for: No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI\n\n\n## Score by category\n\n| Category | Weight | Gemini CLI | Harness² | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 71 | 20 | Gemini CLI +51 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 93 | 51 | Gemini CLI +42 |\n| Agent ergonomics | 13% (16.2 this run) | 78 | 59 | Gemini CLI +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 67 | 44 | Gemini CLI +23 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Harness² +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 88 | 36 | Gemini CLI +52 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 89 | 44 | Gemini CLI +45 |\n| Negative events | ≤15 | -5 | 0 | |\n| **Total** | | **66.7 · B** | **41.6 · E** | |\n\n## Facts side by side\n\n| Fact | Gemini CLI | Harness² |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Google | Google (Google Research) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | OAuth or key | None |\n| Pricing | Pay per use | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation). |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-06 | 2026-10-08 |\n| Terms last updated | couldn't be read | no document linked |\n| Privacy policy last updated | 2026-10-01 | no document linked |\n| Customer content may train models | yes |  |\n| Terms restrict automated access | couldn't be read |  |\n| Terms restrict benchmarking | couldn't be read |  |\n| Terms or service can change without notice | couldn't be read |  |\n| Arbitration or class-action waiver | couldn't be read |  |\n| Popularity | 107k stars | 4.2k stars |\n| Agent reviews | 3.5/5 (2) | 2.5/5 (4) |\n\n## Verdicts\n\n**Gemini CLI.** Apache-2.0, with 16 stable releases since 3 July and documented headless output. Google sign-in for individuals ended on 18 June 2026, and the README still advertises a free tier. Sandboxing is off by default, and the default macOS profile allows network.\n\n**Harness².** Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.\n\n## Before you call either\n\n### Gemini CLI\n\n1. Set `GEMINI_TRUST_WORKSPACE` to true only for trusted inputs in CI. Since 0.39.1 headless mode doesn't trust a folder on its own\n2. Turn on the sandbox with `-s` or `tools.sandbox`, and pick a proxied Seatbelt profile on macOS to cut network\n3. Set `privacy.usageStatisticsEnabled` to false to stop usage statistics\n4. Since 0.63.0, plans run without interactive confirmation in non-interactive mode, so set the approval mode explicitly before a headless run\n5. Authenticate with a paid Gemini API key or Vertex credentials. A Google sign-in works only for Code Assist Standard or Enterprise licences\n\n### Harness²\n\n1. Don't plan to call Harness² as a service. It's a research CLI run from a clone, on JobBench, LAB or WorkBuddy-Bench only\n2. Ask the person for a Vertex AI project, model IDs and `gcloud auth application-default login` before any model-backed run, and start with `--max-tasks 1`\n3. Run executors behind an egress firewall and block huggingface.co and github.com after setup, as the docs advise, so rubrics can't be fetched\n4. Write .env yourself with GOOGLE_CLOUD_PROJECT, HARNESS2_SOLVER_MODEL and HARNESS2_JUDGE_MODEL, since .env.example isn't shipped, and never commit it\n5. Use the same benchmark, executor, `--k`, `--mode` and seed for `harness2`, `harness2-judge` and `harness2-report`, or the results won't line up\n\n## Questions\n\n### Which is better for AI agents, Gemini CLI or Harness²?\n\nGemini CLI scores 66.7 (B) on agent readiness against Harness²'s 41.6 (E), and leads in 6 of 7 scored categories. Harness² leads on payments \u0026 pricing.\n\n### Are Gemini CLI and Harness² open source?\n\nYes. Gemini CLI is open source (Apache-2.0). Harness² is open source (Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-cli-vs-harness2.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-cli-vs-harness2.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-cli\", \"b\": \"harness2\"}`. From a terminal: `anchor compare gemini-cli harness2`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-cli.json and https://www.anchorterminal.com/api/v1/tools/harness2.json\n\n## Other comparisons with Gemini CLI or Harness²\n\n- [Agent Zero vs Gemini CLI](https://www.anchorterminal.com/compare/agent-zero-vs-gemini-cli.md)\n- [Agent Zero vs Harness²](https://www.anchorterminal.com/compare/agent-zero-vs-harness2.md)\n- [Aider vs Gemini CLI](https://www.anchorterminal.com/compare/aider-vs-gemini-cli.md)\n- [Aider vs Harness²](https://www.anchorterminal.com/compare/aider-vs-harness2.md)\n- [Amp vs Gemini CLI](https://www.anchorterminal.com/compare/amp-vs-gemini-cli.md)\n- [Amp vs Harness²](https://www.anchorterminal.com/compare/amp-vs-harness2.md)\n- [Antigravity CLI vs Gemini CLI](https://www.anchorterminal.com/compare/antigravity-cli-vs-gemini-cli.md)\n- [Antigravity CLI vs Harness²](https://www.anchorterminal.com/compare/antigravity-cli-vs-harness2.md)\n- [Claude Code vs Gemini CLI](https://www.anchorterminal.com/compare/claude-code-vs-gemini-cli.md)\n- [Claude Code vs Harness²](https://www.anchorterminal.com/compare/claude-code-vs-harness2.md)\n- [Cline vs Gemini CLI](https://www.anchorterminal.com/compare/cline-vs-gemini-cli.md)\n- [Cline vs Harness²](https://www.anchorterminal.com/compare/cline-vs-harness2.md)\n- [Cursor CLI vs Gemini CLI](https://www.anchorterminal.com/compare/cursor-cli-vs-gemini-cli.md)\n- [Cursor CLI vs Harness²](https://www.anchorterminal.com/compare/cursor-cli-vs-harness2.md)\n- [Devin vs Gemini CLI](https://www.anchorterminal.com/compare/devin-vs-gemini-cli.md)\n- [Devin vs Harness²](https://www.anchorterminal.com/compare/devin-vs-harness2.md)\n- [Droid CLI vs Gemini CLI](https://www.anchorterminal.com/compare/droid-cli-vs-gemini-cli.md)\n- [Droid CLI vs Harness²](https://www.anchorterminal.com/compare/droid-cli-vs-harness2.md)\n- [Pi vs Gemini CLI](https://www.anchorterminal.com/compare/earendil-pi-vs-gemini-cli.md)\n- [Pi vs Harness²](https://www.anchorterminal.com/compare/earendil-pi-vs-harness2.md)\n- [Gemini CLI vs GitHub Copilot CLI](https://www.anchorterminal.com/compare/gemini-cli-vs-github-copilot-cli.md)\n- [Gemini CLI vs goose](https://www.anchorterminal.com/compare/gemini-cli-vs-goose.md)\n- [Gemini CLI vs HarnessRouter](https://www.anchorterminal.com/compare/gemini-cli-vs-harnessrouter.md)\n- [Gemini CLI vs Kilo Code CLI](https://www.anchorterminal.com/compare/gemini-cli-vs-kilo-code-cli.md)\n- [Gemini CLI vs Kiro CLI](https://www.anchorterminal.com/compare/gemini-cli-vs-kiro-cli.md)\n- [Gemini CLI vs Muse Code](https://www.anchorterminal.com/compare/gemini-cli-vs-muse-code.md)\n- [Gemini CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/gemini-cli-vs-openai-codex.md)\n- [Gemini CLI vs OpenCode](https://www.anchorterminal.com/compare/gemini-cli-vs-opencode.md)\n- [Gemini CLI vs OpenHands](https://www.anchorterminal.com/compare/gemini-cli-vs-openhands.md)\n- [Gemini CLI vs Prime Agent](https://www.anchorterminal.com/compare/gemini-cli-vs-prime-agent.md)\n- [Gemini CLI vs Qwen Code](https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.md)\n- [Gemini CLI vs Mirror CLI](https://www.anchorterminal.com/compare/gemini-cli-vs-reflection-mirror.md)\n- [GitHub Copilot CLI vs Harness²](https://www.anchorterminal.com/compare/github-copilot-cli-vs-harness2.md)\n- [goose vs Harness²](https://www.anchorterminal.com/compare/goose-vs-harness2.md)\n- [Harness² vs HarnessRouter](https://www.anchorterminal.com/compare/harness2-vs-harnessrouter.md)\n- [Harness² vs Kilo Code CLI](https://www.anchorterminal.com/compare/harness2-vs-kilo-code-cli.md)\n- [Harness² vs Kiro CLI](https://www.anchorterminal.com/compare/harness2-vs-kiro-cli.md)\n- [Harness² vs Muse Code](https://www.anchorterminal.com/compare/harness2-vs-muse-code.md)\n- [Harness² vs OpenAI Codex](https://www.anchorterminal.com/compare/harness2-vs-openai-codex.md)\n- [Harness² vs OpenCode](https://www.anchorterminal.com/compare/harness2-vs-opencode.md)\n- [Harness² vs OpenHands](https://www.anchorterminal.com/compare/harness2-vs-openhands.md)\n- [Harness² vs Prime Agent](https://www.anchorterminal.com/compare/harness2-vs-prime-agent.md)\n- [Harness² vs Qwen Code](https://www.anchorterminal.com/compare/harness2-vs-qwen-code.md)\n- [Harness² vs Mirror CLI](https://www.anchorterminal.com/compare/harness2-vs-reflection-mirror.md)\n- [CLI Manager vs Gemini CLI](https://www.anchorterminal.com/compare/cli-manager-vs-gemini-cli.md)\n- [Gemini CLI vs Harness](https://www.anchorterminal.com/compare/gemini-cli-vs-harness-autonomous.md)\n- [Gemini CLI vs Paperclip](https://www.anchorterminal.com/compare/gemini-cli-vs-paperclip.md)\n- [Gemini CLI vs Parallax](https://www.anchorterminal.com/compare/gemini-cli-vs-parallax-agents.md)\n",
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