{
  "data": {
    "a": {
      "slug": "mini-swe-agent",
      "name": "mini-swe-agent",
      "vendor": "SWE-bench team (Princeton and Stanford)",
      "vendorUrl": "https://mini-swe-agent.com",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "Minimal open-source coding agent from the Princeton and Stanford team behind SWE-bench, shipped as the `mini` CLI and a Python library. It gives the model one bash tool, works with any model through LiteLLM, and is a common SWE-bench baseline.",
      "url": "https://www.anchorterminal.com/tools/mini-swe-agent",
      "markdownUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json",
      "dns": "mini-swe-agent.grade.anchorterminal.com",
      "repo": "https://github.com/SWE-agent/mini-swe-agent",
      "license": "MIT",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "mini-swe-agent"
        }
      ],
      "auth": "none",
      "authNotes": "No account of its own. A model key goes in an environment variable or the global `.env` file that `mini-extra config setup` writes, and is passed to the provider through LiteLLM, OpenRouter, Portkey or Requesty. Local models work through LiteLLM's `api_base`.",
      "pricing": "free",
      "pricingNotes": "Free and MIT, with nothing to buy. The owner pays the model provider, or nothing with a local model. Each run stops at a $3 cost limit by default, and a local model needs `MSWEA_COST_TRACKING=ignore_errors`.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-18).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 8600,
        "npmWeekly": null,
        "pypiWeekly": 4437981,
        "asOf": "2026-10-18"
      },
      "docsUrl": "https://mini-swe-agent.com/latest/",
      "capabilities": [
        "agent.harness"
      ],
      "tags": [
        "harness",
        "coding-agent",
        "cli",
        "open-source",
        "python",
        "free",
        "no-card",
        "local",
        "docker"
      ],
      "lastRelease": "2026-07-23",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59,
        "grade": "C",
        "agentReady": false,
        "rank": 719,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 20,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 32,
          "payments": 60,
          "reliability": 65,
          "schema": 58,
          "security": 58,
          "transparency": 56
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-04"
        },
        "negative": 0,
        "verdict": "A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and there has been no release since 2.4.6 on 23 July 2026.",
        "bestFor": "Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.",
        "strengths": [
          "MIT, with an agent class of about 190 lines that a reviewer can read in one sitting",
          "Step, cost ($3 by default) and wall-time limits, each ending the run with its own exit status in the trajectory",
          "Any model through LiteLLM, OpenRouter, Portkey or Requesty, local ones included, with no account",
          "Docker, Podman and Singularity environments, where the Docker one forwards no host variables unless listed",
          "No telemetry found in the source"
        ],
        "weaknesses": [
          "The default local environment runs commands on the host with no isolation and the full host environment",
          "CVE-2026-108592, published 10 October 2026, leaves the experimental bubblewrap sandbox passing host API keys and network through, unfixed in 2.4.6",
          "No release since 2.4.6 on 23 July 2026, nothing merged into main since 17 August, and 77 of the 85 pull requests numbered after #917 still open",
          "No MCP client, no ACP and no server mode",
          "No changelog file, and the PyPI classifier still says 3 - Alpha at 2.4.6"
        ],
        "agentNotes": [
          "Run with `-y --exit-immediately` for unattended use. Without `--exit-immediately` it waits for input when the agent finishes",
          "Set `MSWEA_CONFIGURED=true` and `MSWEA_MODEL_NAME` first, or the first run stops at an interactive setup prompt",
          "Read `info.exit_status` in the `-o` trajectory file. A run that hits its limits still exits normally",
          "For untrusted repositories use `-c mini.yaml -c environment.environment_class=docker -c environment.image=\u003cimage\u003e`. The local and bubblewrap environments both expose host variables",
          "Strip model keys from the environment commands see, since the local environment passes every host variable to each command"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 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": 59
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 32,
          "payments": 60,
          "reliability": 65,
          "schema": 58,
          "security": 58,
          "transparency": 62
        },
        "provenanceScore": 50,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-04",
            "maintenance": "2026-11-04",
            "payments": "2026-11-04",
            "reliability": "2026-11-04",
            "schema": "2026-11-04",
            "security": "2026-11-04",
            "transparency": "2026-11-04"
          },
          "last": "2026-11-04",
          "lastMoved": "2026-11-04",
          "oldest": "2026-11-04",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "pip install mini-swe-agent   # or: uvx mini-swe-agent",
        "headless": {
          "command": "mini -t \"$TASK\" -y --exit-immediately -m \u003cprovider/model\u003e -l 3 -o run.traj.json",
          "env": {
            "ANTHROPIC_API_KEY": "\u003ckey\u003e",
            "MSWEA_CONFIGURED": "true"
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/mini-swe-agent"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "No legal entity named. The MIT licence names Kilian A. Lieret and Carlos E. Jimenez",
        "domain": "mini-swe-agent.com",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-11-04",
        "notes": [
          "The docs site is GitHub Pages built from the repository. It has no terms, privacy policy or security.txt (/.well-known/security.txt returned 404 on 18 October 2026).",
          "The security page names four contacts at Princeton and Stanford by email, with no response time.",
          "The repository has no changelog file and tags carry only a version bump. Release notes, if any, are on GitHub releases, which we couldn't read because GitHub's web pages refused this run (18 October and 4 November)."
        ],
        "score": 50
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.json",
      "live": {
        "slug": "mini-swe-agent",
        "versions": [
          {
            "registry": "github",
            "name": "SWE-agent/mini-swe-agent",
            "version": "v2.4.6",
            "released": "2026-07-23",
            "seenAt": "2026-11-06T23:45:51.824858096Z"
          },
          {
            "registry": "pypi",
            "name": "mini-swe-agent",
            "version": "2.4.6",
            "released": "2026-07-23",
            "seenAt": "2026-11-06T23:45:50.555882827Z"
          }
        ],
        "githubStars": 9224,
        "pypiWeekly": 3115942,
        "securityTxt": {
          "url": "https://mini-swe-agent.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T15:59:52.150031311Z"
        },
        "domain": {
          "domain": "mini-swe-agent.com",
          "registered": "2025-07-23",
          "source": "https://rdap.verisign.com/com/v1/domain/mini-swe-agent.com",
          "checkedAt": "2026-11-01T14:12:26.696049173Z"
        },
        "github": {
          "repo": "swe-agent/mini-swe-agent",
          "checkedAt": "2026-11-02T09:29:40.130801973Z",
          "stars": 9031,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-26T22:39:14Z",
          "openIssues": 45,
          "openPRs": 88,
          "issuesOpened90d": 33,
          "issuesClosed90d": 2,
          "prsMerged90d": 1,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 48,
            "failure": 2,
            "other": 0,
            "latest": "success",
            "latestAt": "2026-09-03T05:06:48Z"
          },
          "replies": {
            "sampled": 25,
            "unanswered": 23,
            "medianDays": 7.8
          }
        },
        "updatedAt": "2026-11-07T15:59:52.150031311Z"
      }
    },
    "answer": "mini-swe-agent scores 59 (C) on agent readiness against Sculptor's 53.1 (D), and leads in 4 of 7 scored categories. Sculptor leads on maintenance \u0026 community.",
    "b": {
      "slug": "sculptor",
      "name": "Sculptor",
      "vendor": "Imbue, Inc.",
      "vendorUrl": "https://imbue.com",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "Sculptor is Imbue's open-source desktop app for running coding agents in parallel, each in an isolated copy of your code, with built-in skills for agentic development. It's labelled an experimental research preview.",
      "url": "https://www.anchorterminal.com/tools/sculptor",
      "markdownUrl": "https://www.anchorterminal.com/tools/sculptor.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sculptor.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sculptor.json",
      "dns": "sculptor.grade.anchorterminal.com",
      "repo": "https://github.com/imbue-ai/sculptor",
      "license": "MIT",
      "transports": [],
      "packages": [],
      "auth": "none",
      "pricing": "free",
      "pricingNotes": "Free and open source. You pay for the coding agents it runs, through your own subscriptions or API keys (checked 2026-11-07).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No payment protocol in the repository or README (checked 2026-11-07).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-07"
      },
      "docsUrl": "https://github.com/imbue-ai/sculptor#readme",
      "capabilities": [
        "agent.harness",
        "agent.multi-agent"
      ],
      "tags": [
        "open-source",
        "mit",
        "desktop-app",
        "new"
      ],
      "lastRelease": "2026-11-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.1,
        "grade": "D",
        "agentReady": false,
        "rank": 966,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 37,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 50,
          "maintenance": 75,
          "payments": 60,
          "reliability": 43,
          "schema": 45,
          "security": 57,
          "transparency": 57
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-11-07"
        },
        "negative": 0,
        "verdict": "Imbue's open-source app for parallel coding agents in isolated workspaces, with telemetry off until you choose otherwise. It's an experimental research preview that warns of bugs and drastic changes, Mac and Linux only, with no changelog.",
        "bestFor": "Developers who want parallel coding agents in isolated workspaces and are fine with a research preview.",
        "strengths": [
          "Each workspace is an isolated copy of the code, reviewed and merged back",
          "Analytics, error reporting and session recording default to off, with consent at first run",
          "Built-in skills for agentic development",
          "MIT from Imbue, with CI on pull requests"
        ],
        "weaknesses": [
          "Labelled an experimental research preview that may change drastically",
          "Mac (Apple Silicon) and Linux only",
          "No changelog file",
          "Few outside contributions accepted for now"
        ],
        "agentNotes": [
          "Download from the README's links, connect a repository and create a workspace before prompting",
          "Review the diff before merging a workspace back to main"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "D",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 53.1
          }
        ],
        "editorialScores": {
          "ergonomics": 50,
          "maintenance": 75,
          "payments": 60,
          "reliability": 43,
          "schema": 45,
          "security": 57,
          "transparency": 73
        },
        "provenanceScore": 40,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-07",
            "maintenance": "2026-11-07",
            "payments": "2026-11-07",
            "reliability": "2026-11-07",
            "schema": "2026-11-07",
            "security": "2026-11-07",
            "transparency": "2026-11-07"
          },
          "last": "2026-11-07",
          "oldest": "2026-11-07",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "Download for Mac (Apple Silicon) or Linux from the README"
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/sculptor"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Imbue, Inc.",
        "domain": "imbue.com",
        "domainRegistered": "",
        "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules.",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-11-07",
        "notes": [
          "The licence names Imbue, Inc.. The repository is github.com/imbue-ai/sculptor."
        ],
        "score": 40
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/sculptor.json",
      "live": {
        "slug": "sculptor",
        "securityTxt": {
          "url": "https://imbue.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T16:01:32.925074454Z"
        },
        "updatedAt": "2026-11-07T16:01:32.925074454Z"
      }
    },
    "edges": [
      {
        "by": 43,
        "category": "maintenance",
        "leads": "sculptor",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "2.4.6 on PyPI on 2026-07-23, 104 days before this check, and still the newest tag (10). No release in the 90 days to 4 November (0). Main hasn't moved since 3 September (three commits since 23 July, one from pre-commit-ci). Outside fixes were merged within days through July, but no pull request has been merged since #917 (17 August), 77 of the 85 pull requests numbered after it still carry open merge refs on the git remote, and maintainer reply times couldn't be read; the 18 October shields.io counts are struck (5). The Python library ships in the same package as the CLI and is current (10). Dependabot and pre-commit-ci run, and CI workflows exist with their current state unconfirmed (7).",
          "b": "Commits on 6 November 2026 and frequent tagged versions (30). More than three releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent; the README says Imbue can't take many outside contributions yet (0). Current official downloads (15). CI on pull requests (10). 30 + 20 + 0 + 15 + 10 = 75."
        },
        "scores": {
          "a": 32,
          "b": 75
        }
      },
      {
        "by": 22,
        "category": "reliability",
        "leads": "mini-swe-agent",
        "name": "Reliability",
        "reasons": {
          "a": "Read as a local package, graded on 2.4.6, the release `pip install mini-swe-agent` installs, and still the newest tag on 4 November 2026. One official PyPI package with Python 3.10 or newer stated (20). A pytest workflow runs on every push to main with Podman, bubblewrap and Apptainer installed, 41 test files and Codecov coverage, but GitHub's pages refused this run, so whether main passes is unconfirmed (15). Issue counts and types couldn't be read (the 18 October counts came from shields.io, a third-party copy, and are struck). The git remote shows outside bug fixes merged through 22 July, such as #915, #896 and #886, and nothing merged into main since apart from a pre-commit update on 17 August, while 77 of the 85 pull requests numbered after #917 still carry open merge refs (10). Versions follow semver and v2's breaking changes came with a migration guide, but there's no changelog file and tags carry only a version bump (8). 2.4.6, past 1.0, though the PyPI classifier still says 3 - Alpha (12).",
          "b": "Local software. Desktop downloads for Mac (Apple Silicon), Linux and Linux ARM64 (20). checks.yml and a PR gate run on the repository; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). sculptor-v tags up to v0.49.0, no changelog file (8). 0.x and labelled a research preview (0). 20 + 15 + 0 + 8 + 0 = 43."
        },
        "scores": {
          "a": 65,
          "b": 43
        }
      },
      {
        "by": 19,
        "category": "ergonomics",
        "leads": "mini-swe-agent",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Harness reading of the framework line, scored on what an agent or pipeline driving it has to supply. One bash tool and a short system prompt, with output over 10,000 characters cut to its first and last 5,000, but no compaction of a long history (22). Step, cost and wall-time limits, global call and cost limits by environment variable, and a 30-second timeout per command (18). The trajectory JSON records Submitted, LimitsExceeded, TimeExceeded or RepeatedFormatError, but stdout is human-readable only and these aren't process exit codes (12). Model calls retry ten times with exponential backoff, and the trajectory is saved after every step, but there's no resume and no undo (8). Python bindings only. An unattended `mini` run needs `-y`, `--exit-immediately` and `MSWEA_CONFIGURED`, the last found only in the source (9). No MCP client, ACP or server mode.",
          "b": "Harness reading. Workspaces as isolated copies, review and merge back, and built-in skills (50)."
        },
        "scores": {
          "a": 69,
          "b": 50
        }
      },
      {
        "by": 13,
        "category": "schema",
        "leads": "mini-swe-agent",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Framework reading. Typed pydantic config classes, typed protocols for agents, models and environments, `py.typed`, a mkdocstrings API reference and a documented trajectory format, but no machine-readable spec for configs or output (15). No llms.txt (/latest/llms.txt and /llms.txt returned 404). The docs are Markdown in the repository, readable raw, though they rely on build-time includes (3). The FAQ and environments page say when to pick mini over SWE-agent and which environment isolates, but the FAQ still says it doesn't use tool calls while the v2 guide says tool calls are now the default (12). Modes are a typed Literal and limits are typed fields, while `model_kwargs` passes free-form to LiteLLM (10). Hello-world and cookbook examples, a model troubleshooting page and a partial list of exit statuses (11). A dated v2 migration guide and kept v1 docs, with release notes only on GitHub, which we couldn't read (7).",
          "b": "Harness reading. A README, specs and agent docs in the repository; no API reference (45)."
        },
        "scores": {
          "a": 58,
          "b": 45
        }
      }
    ],
    "facts": [
      {
        "a": "Agent harness",
        "b": "Agent harness",
        "name": "Kind"
      },
      {
        "a": "SWE-bench team (Princeton and Stanford)",
        "b": "Imbue, Inc.",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "MIT",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-07-23",
        "b": "2026-11-06",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "8.6k stars, 4.4M PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "mini-swe-agent scores 59 (C) on agent readiness against Sculptor's 53.1 (D), and leads in 4 of 7 scored categories. Sculptor leads on maintenance \u0026 community.",
        "question": "Which is better for AI agents, mini-swe-agent or Sculptor?"
      },
      {
        "answer": "Yes. mini-swe-agent is open source (MIT). Sculptor is open source (MIT).",
        "question": "Are mini-swe-agent and Sculptor open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 65 against 43",
          "Schema \u0026 documentation, 58 against 45",
          "Agent ergonomics, 69 against 50"
        ],
        "also": [
          "Free to start without a card"
        ],
        "goodFor": "Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.",
        "slug": "mini-swe-agent",
        "watchFor": "The default local environment runs commands on the host with no isolation and the full host environment"
      },
      {
        "aheadOn": [
          "Maintenance \u0026 community, 75 against 32"
        ],
        "also": null,
        "goodFor": "Developers who want parallel coding agents in isolated workspaces and are fine with a research preview.",
        "slug": "sculptor",
        "watchFor": "Labelled an experimental research preview that may change drastically"
      }
    ],
    "history": {
      "mini-swe-agent": [
        {
          "causes": [
            "evidence",
            "correction",
            "time"
          ],
          "date": "2026-11-04",
          "delta": 1.9,
          "from": 57.1,
          "fromGrade": "C",
          "to": 59,
          "toGrade": "C"
        },
        {
          "causes": [
            "evidence"
          ],
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        "title": "Muse Code vs Sculptor",
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        "json": "https://www.anchorterminal.com/compare/qwen-code-vs-sculptor.json",
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        "json": "https://www.anchorterminal.com/compare/rovo-dev-cli-vs-sculptor.json",
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        "json": "https://www.anchorterminal.com/compare/sculptor-vs-t3-code.json",
        "title": "Sculptor vs T3 Code",
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        "json": "https://www.anchorterminal.com/compare/sculptor-vs-traycer.json",
        "title": "Sculptor vs Traycer",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/sculptor-vs-verdent.json",
        "title": "Sculptor vs Verdent",
        "url": "https://www.anchorterminal.com/compare/sculptor-vs-verdent"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sculptor-vs-vibe-trading.json",
        "title": "Sculptor vs Vibe-Trading",
        "url": "https://www.anchorterminal.com/compare/sculptor-vs-vibe-trading"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sculptor-vs-warp.json",
        "title": "Sculptor vs Warp (Warp Agent CLI and the Oz Agent API)",
        "url": "https://www.anchorterminal.com/compare/sculptor-vs-warp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/clawboo-vs-sculptor.json",
        "title": "Clawboo vs Sculptor",
        "url": "https://www.anchorterminal.com/compare/clawboo-vs-sculptor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cli-manager-vs-sculptor.json",
        "title": "CLI Manager vs Sculptor",
        "url": "https://www.anchorterminal.com/compare/cli-manager-vs-sculptor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-sculptor.json",
        "title": "Harness vs Sculptor",
        "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-sculptor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openmausbot-vs-sculptor.json",
        "title": "OpenMausBot vs Sculptor",
        "url": "https://www.anchorterminal.com/compare/openmausbot-vs-sculptor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/paperclip-vs-sculptor.json",
        "title": "Paperclip vs Sculptor",
        "url": "https://www.anchorterminal.com/compare/paperclip-vs-sculptor"
      },
      {
        "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-sculptor.json",
        "title": "Parallax vs Sculptor",
        "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-sculptor"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 22,
        "edge": "mini-swe-agent",
        "key": "reliability",
        "mini-swe-agent": 65,
        "name": "Reliability",
        "sculptor": 43,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 13,
        "edge": "mini-swe-agent",
        "key": "schema",
        "mini-swe-agent": 58,
        "name": "Schema \u0026 documentation",
        "sculptor": 45,
        "weight": 13
      },
      {
        "by": 19,
        "edge": "mini-swe-agent",
        "key": "ergonomics",
        "mini-swe-agent": 69,
        "name": "Agent ergonomics",
        "sculptor": 50,
        "weight": 13
      },
      {
        "by": 1,
        "edge": "mini-swe-agent",
        "key": "security",
        "mini-swe-agent": 58,
        "name": "Security \u0026 auth",
        "sculptor": 57,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "mini-swe-agent": 60,
        "name": "Payments \u0026 pricing",
        "sculptor": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 43,
        "edge": "sculptor",
        "key": "maintenance",
        "mini-swe-agent": 32,
        "name": "Maintenance \u0026 community",
        "sculptor": 75,
        "weight": 7
      },
      {
        "by": 1,
        "edge": "sculptor",
        "key": "transparency",
        "mini-swe-agent": 56,
        "name": "Transparency \u0026 trust",
        "sculptor": 57,
        "weight": 7
      }
    ],
    "summary": "mini-swe-agent scores 59 (C) on agent readiness against Sculptor's 53.1 (D), and leads in 4 of 7 scored categories. Sculptor leads on maintenance \u0026 community. Both do agent harnesses.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "mini-swe-agent": "A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and there has been no release since 2.4.6 on 23 July 2026.",
      "sculptor": "Imbue's open-source app for parallel coding agents in isolated workspaces, with telemetry off until you choose otherwise. It's an experimental research preview that warns of bugs and drastic changes, Mac and Linux only, with no changelog."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-sculptor",
    "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-sculptor.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-sculptor.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-sculptor.min.md"
  },
  "markdown": "mini-swe-agent scores 59 (C) on agent readiness against Sculptor's 53.1 (D), and leads in 4 of 7 scored categories. Sculptor leads on maintenance \u0026 community. Both do agent harnesses.\n\n- mini-swe-agent: grade C, 59/100, rank #719 of 1510. Markdown https://www.anchorterminal.com/tools/mini-swe-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json\n- Sculptor: grade D, 53.1/100, rank #966 of 1510. Markdown https://www.anchorterminal.com/tools/sculptor.md · JSON https://www.anchorterminal.com/api/v1/tools/sculptor.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### mini-swe-agent (C)\n\nGood for: Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.\n\nAhead on:\n- Reliability, 65 against 43\n- Schema \u0026 documentation, 58 against 45\n- Agent ergonomics, 69 against 50\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: The default local environment runs commands on the host with no isolation and the full host environment\n\n### Sculptor (D)\n\nGood for: Developers who want parallel coding agents in isolated workspaces and are fine with a research preview.\n\nAhead on:\n- Maintenance \u0026 community, 75 against 32\n\nWatch for: Labelled an experimental research preview that may change drastically\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Sculptor +43\n\n- mini-swe-agent (32): 2.4.6 on PyPI on 2026-07-23, 104 days before this check, and still the newest tag (10). No release in the 90 days to 4 November (0). Main hasn't moved since 3 September (three commits since 23 July, one from pre-commit-ci). Outside fixes were merged within days through July, but no pull request has been merged since #917 (17 August), 77 of the 85 pull requests numbered after it still carry open merge refs on the git remote, and maintainer reply times couldn't be read; the 18 October shields.io counts are struck (5). The Python library ships in the same package as the CLI and is current (10). Dependabot and pre-commit-ci run, and CI workflows exist with their current state unconfirmed (7).\n- Sculptor (75): Commits on 6 November 2026 and frequent tagged versions (30). More than three releases in 90 days (20). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent; the README says Imbue can't take many outside contributions yet (0). Current official downloads (15). CI on pull requests (10). 30 + 20 + 0 + 15 + 10 = 75.\n\n### Reliability: mini-swe-agent +22\n\n- mini-swe-agent (65): Read as a local package, graded on 2.4.6, the release `pip install mini-swe-agent` installs, and still the newest tag on 4 November 2026. One official PyPI package with Python 3.10 or newer stated (20). A pytest workflow runs on every push to main with Podman, bubblewrap and Apptainer installed, 41 test files and Codecov coverage, but GitHub's pages refused this run, so whether main passes is unconfirmed (15). Issue counts and types couldn't be read (the 18 October counts came from shields.io, a third-party copy, and are struck). The git remote shows outside bug fixes merged through 22 July, such as #915, #896 and #886, and nothing merged into main since apart from a pre-commit update on 17 August, while 77 of the 85 pull requests numbered after #917 still carry open merge refs (10). Versions follow semver and v2's breaking changes came with a migration guide, but there's no changelog file and tags carry only a version bump (8). 2.4.6, past 1.0, though the PyPI classifier still says 3 - Alpha (12).\n- Sculptor (43): Local software. Desktop downloads for Mac (Apple Silicon), Linux and Linux ARM64 (20). checks.yml and a PR gate run on the repository; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). sculptor-v tags up to v0.49.0, no changelog file (8). 0.x and labelled a research preview (0). 20 + 15 + 0 + 8 + 0 = 43.\n\n### Agent ergonomics: mini-swe-agent +19\n\n- mini-swe-agent (69): Harness reading of the framework line, scored on what an agent or pipeline driving it has to supply. One bash tool and a short system prompt, with output over 10,000 characters cut to its first and last 5,000, but no compaction of a long history (22). Step, cost and wall-time limits, global call and cost limits by environment variable, and a 30-second timeout per command (18). The trajectory JSON records Submitted, LimitsExceeded, TimeExceeded or RepeatedFormatError, but stdout is human-readable only and these aren't process exit codes (12). Model calls retry ten times with exponential backoff, and the trajectory is saved after every step, but there's no resume and no undo (8). Python bindings only. An unattended `mini` run needs `-y`, `--exit-immediately` and `MSWEA_CONFIGURED`, the last found only in the source (9). No MCP client, ACP or server mode.\n- Sculptor (50): Harness reading. Workspaces as isolated copies, review and merge back, and built-in skills (50).\n\n### Schema \u0026 documentation: mini-swe-agent +13\n\n- mini-swe-agent (58): Framework reading. Typed pydantic config classes, typed protocols for agents, models and environments, `py.typed`, a mkdocstrings API reference and a documented trajectory format, but no machine-readable spec for configs or output (15). No llms.txt (/latest/llms.txt and /llms.txt returned 404). The docs are Markdown in the repository, readable raw, though they rely on build-time includes (3). The FAQ and environments page say when to pick mini over SWE-agent and which environment isolates, but the FAQ still says it doesn't use tool calls while the v2 guide says tool calls are now the default (12). Modes are a typed Literal and limits are typed fields, while `model_kwargs` passes free-form to LiteLLM (10). Hello-world and cookbook examples, a model troubleshooting page and a partial list of exit statuses (11). A dated v2 migration guide and kept v1 docs, with release notes only on GitHub, which we couldn't read (7).\n- Sculptor (45): Harness reading. A README, specs and agent docs in the repository; no API reference (45).\n\n## Score by category\n\n| Category | Weight | mini-swe-agent | Sculptor | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 43 | mini-swe-agent +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 45 | mini-swe-agent +13 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 50 | mini-swe-agent +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 57 | mini-swe-agent +1 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 32 | 75 | Sculptor +43 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 56 | 57 | Sculptor +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **59 · C** | **53.1 · D** | |\n\n## Facts side by side\n\n| Fact | mini-swe-agent | Sculptor |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | SWE-bench team (Princeton and Stanford) | Imbue, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-07-23 | 2026-11-06 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Popularity | 8.6k stars, 4.4M PyPI/wk | none |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### mini-swe-agent\n\n- +1.9 on 4 November 2026: new evidence, correction, time\n- +0.4 on 27 October 2026: new evidence\n\n### Sculptor\n\nNo score change since it was listed.\n\n## Verdicts\n\n**mini-swe-agent.** A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and there has been no release since 2.4.6 on 23 July 2026.\n\n**Sculptor.** Imbue's open-source app for parallel coding agents in isolated workspaces, with telemetry off until you choose otherwise. It's an experimental research preview that warns of bugs and drastic changes, Mac and Linux only, with no changelog.\n\n## Before you call either\n\n### mini-swe-agent\n\n1. Run with `-y --exit-immediately` for unattended use. Without `--exit-immediately` it waits for input when the agent finishes\n2. Set `MSWEA_CONFIGURED=true` and `MSWEA_MODEL_NAME` first, or the first run stops at an interactive setup prompt\n3. Read `info.exit_status` in the `-o` trajectory file. A run that hits its limits still exits normally\n4. For untrusted repositories use `-c mini.yaml -c environment.environment_class=docker -c environment.image=\u003cimage\u003e`. The local and bubblewrap environments both expose host variables\n5. Strip model keys from the environment commands see, since the local environment passes every host variable to each command\n\n### Sculptor\n\n1. Download from the README's links, connect a repository and create a workspace before prompting\n2. Review the diff before merging a workspace back to main\n\n## Questions\n\n### Which is better for AI agents, mini-swe-agent or Sculptor?\n\nmini-swe-agent scores 59 (C) on agent readiness against Sculptor's 53.1 (D), and leads in 4 of 7 scored categories. Sculptor leads on maintenance \u0026 community.\n\n### Are mini-swe-agent and Sculptor open source?\n\nYes. mini-swe-agent is open source (MIT). Sculptor is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mini-swe-agent-vs-sculptor.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mini-swe-agent-vs-sculptor.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mini-swe-agent\", \"b\": \"sculptor\"}`. From a terminal: `anchor compare mini-swe-agent sculptor`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json and https://www.anchorterminal.com/api/v1/tools/sculptor.json\n\n## Other comparisons with mini-swe-agent or Sculptor\n\n- [Agent Zero vs mini-swe-agent](https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent.md)\n- [Agent Zero vs Sculptor](https://www.anchorterminal.com/compare/agent-zero-vs-sculptor.md)\n- [Aider vs mini-swe-agent](https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.md)\n- [Aider vs Sculptor](https://www.anchorterminal.com/compare/aider-vs-sculptor.md)\n- [Amp vs mini-swe-agent](https://www.anchorterminal.com/compare/amp-vs-mini-swe-agent.md)\n- [Amp vs Sculptor](https://www.anchorterminal.com/compare/amp-vs-sculptor.md)\n- [Antigravity CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/antigravity-cli-vs-mini-swe-agent.md)\n- [Antigravity CLI vs Sculptor](https://www.anchorterminal.com/compare/antigravity-cli-vs-sculptor.md)\n- [Auggie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/auggie-vs-mini-swe-agent.md)\n- [Auggie CLI vs Sculptor](https://www.anchorterminal.com/compare/auggie-vs-sculptor.md)\n- [AXLR vs mini-swe-agent](https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.md)\n- [AXLR vs Sculptor](https://www.anchorterminal.com/compare/axlr-vs-sculptor.md)\n- [Claude Code vs mini-swe-agent](https://www.anchorterminal.com/compare/claude-code-vs-mini-swe-agent.md)\n- [Claude Code vs Sculptor](https://www.anchorterminal.com/compare/claude-code-vs-sculptor.md)\n- [Cline vs mini-swe-agent](https://www.anchorterminal.com/compare/cline-vs-mini-swe-agent.md)\n- [Cline vs Sculptor](https://www.anchorterminal.com/compare/cline-vs-sculptor.md)\n- [Conductor vs mini-swe-agent](https://www.anchorterminal.com/compare/conductor-vs-mini-swe-agent.md)\n- [Conductor vs Sculptor](https://www.anchorterminal.com/compare/conductor-vs-sculptor.md)\n- [Crush vs mini-swe-agent](https://www.anchorterminal.com/compare/crush-vs-mini-swe-agent.md)\n- [Crush vs Sculptor](https://www.anchorterminal.com/compare/crush-vs-sculptor.md)\n- [Cursor CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/cursor-cli-vs-mini-swe-agent.md)\n- [Cursor CLI vs Sculptor](https://www.anchorterminal.com/compare/cursor-cli-vs-sculptor.md)\n- [DeepSeek Harness (dsh) vs mini-swe-agent](https://www.anchorterminal.com/compare/deepseek-harness-vs-mini-swe-agent.md)\n- [DeepSeek Harness (dsh) vs Sculptor](https://www.anchorterminal.com/compare/deepseek-harness-vs-sculptor.md)\n- [dsh-superagent (DeepSeek) vs mini-swe-agent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-mini-swe-agent.md)\n- [dsh-superagent (DeepSeek) vs Sculptor](https://www.anchorterminal.com/compare/deepseek-superagent-vs-sculptor.md)\n- [Devin vs mini-swe-agent](https://www.anchorterminal.com/compare/devin-vs-mini-swe-agent.md)\n- [Devin vs Sculptor](https://www.anchorterminal.com/compare/devin-vs-sculptor.md)\n- [Droid CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/droid-cli-vs-mini-swe-agent.md)\n- [Droid CLI vs Sculptor](https://www.anchorterminal.com/compare/droid-cli-vs-sculptor.md)\n- [Pi vs mini-swe-agent](https://www.anchorterminal.com/compare/earendil-pi-vs-mini-swe-agent.md)\n- [Pi vs Sculptor](https://www.anchorterminal.com/compare/earendil-pi-vs-sculptor.md)\n- [Emdash vs mini-swe-agent](https://www.anchorterminal.com/compare/emdash-vs-mini-swe-agent.md)\n- [Emdash vs Sculptor](https://www.anchorterminal.com/compare/emdash-vs-sculptor.md)\n- [Gemini CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/gemini-cli-vs-mini-swe-agent.md)\n- [Gemini CLI vs Sculptor](https://www.anchorterminal.com/compare/gemini-cli-vs-sculptor.md)\n- [GitHub Copilot CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/github-copilot-cli-vs-mini-swe-agent.md)\n- [GitHub Copilot CLI vs Sculptor](https://www.anchorterminal.com/compare/github-copilot-cli-vs-sculptor.md)\n- [goose vs mini-swe-agent](https://www.anchorterminal.com/compare/goose-vs-mini-swe-agent.md)\n- [goose vs Sculptor](https://www.anchorterminal.com/compare/goose-vs-sculptor.md)\n- [Harness² vs mini-swe-agent](https://www.anchorterminal.com/compare/harness2-vs-mini-swe-agent.md)\n- [Harness² vs Sculptor](https://www.anchorterminal.com/compare/harness2-vs-sculptor.md)\n- [HarnessRouter vs mini-swe-agent](https://www.anchorterminal.com/compare/harnessrouter-vs-mini-swe-agent.md)\n- [HarnessRouter vs Sculptor](https://www.anchorterminal.com/compare/harnessrouter-vs-sculptor.md)\n- [Jules vs mini-swe-agent](https://www.anchorterminal.com/compare/jules-vs-mini-swe-agent.md)\n- [Jules vs Sculptor](https://www.anchorterminal.com/compare/jules-vs-sculptor.md)\n- [Junie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/junie-vs-mini-swe-agent.md)\n- [Junie CLI vs Sculptor](https://www.anchorterminal.com/compare/junie-vs-sculptor.md)\n- [Kilo Code CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/kilo-code-cli-vs-mini-swe-agent.md)\n- [Kilo Code CLI vs Sculptor](https://www.anchorterminal.com/compare/kilo-code-cli-vs-sculptor.md)\n- [Kimi Code CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/kimi-code-cli-vs-mini-swe-agent.md)\n- [Kimi Code CLI vs Sculptor](https://www.anchorterminal.com/compare/kimi-code-cli-vs-sculptor.md)\n- [Kiro CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/kiro-cli-vs-mini-swe-agent.md)\n- [Kiro CLI vs Sculptor](https://www.anchorterminal.com/compare/kiro-cli-vs-sculptor.md)\n- [Letta vs mini-swe-agent](https://www.anchorterminal.com/compare/letta-vs-mini-swe-agent.md)\n- [Letta vs Sculptor](https://www.anchorterminal.com/compare/letta-vs-sculptor.md)\n- [mini-swe-agent vs MiniMax Code](https://www.anchorterminal.com/compare/mini-swe-agent-vs-minimax-code.md)\n- [mini-swe-agent vs Mistral Vibe CLI](https://www.anchorterminal.com/compare/mini-swe-agent-vs-mistral-vibe-cli.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- [mini-swe-agent vs OpenAI Codex](https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-codex.md)\n- [mini-swe-agent vs OpenCode](https://www.anchorterminal.com/compare/mini-swe-agent-vs-opencode.md)\n- [mini-swe-agent vs OpenHands](https://www.anchorterminal.com/compare/mini-swe-agent-vs-openhands.md)\n- [mini-swe-agent vs OpenMausBot](https://www.anchorterminal.com/compare/mini-swe-agent-vs-openmausbot.md)\n- [mini-swe-agent vs Orca](https://www.anchorterminal.com/compare/mini-swe-agent-vs-orca.md)\n- [mini-swe-agent vs Paseo](https://www.anchorterminal.com/compare/mini-swe-agent-vs-paseo.md)\n- [mini-swe-agent vs Prime Agent](https://www.anchorterminal.com/compare/mini-swe-agent-vs-prime-agent.md)\n- [mini-swe-agent vs Qoder CLI](https://www.anchorterminal.com/compare/mini-swe-agent-vs-qoder-cli.md)\n- [mini-swe-agent vs Qwen Code](https://www.anchorterminal.com/compare/mini-swe-agent-vs-qwen-code.md)\n- [mini-swe-agent vs Mirror CLI](https://www.anchorterminal.com/compare/mini-swe-agent-vs-reflection-mirror.md)\n- [mini-swe-agent vs Rovo Dev CLI](https://www.anchorterminal.com/compare/mini-swe-agent-vs-rovo-dev-cli.md)\n- [mini-swe-agent vs T3 Code](https://www.anchorterminal.com/compare/mini-swe-agent-vs-t3-code.md)\n- [mini-swe-agent vs Traycer](https://www.anchorterminal.com/compare/mini-swe-agent-vs-traycer.md)\n- [mini-swe-agent vs Unstoppable](https://www.anchorterminal.com/compare/mini-swe-agent-vs-unstoppable.md)\n- [mini-swe-agent vs Verdent](https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.md)\n- [mini-swe-agent vs Vibe-Trading](https://www.anchorterminal.com/compare/mini-swe-agent-vs-vibe-trading.md)\n- [mini-swe-agent vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/mini-swe-agent-vs-warp.md)\n- [MiniMax Code vs Sculptor](https://www.anchorterminal.com/compare/minimax-code-vs-sculptor.md)\n- [Mistral Vibe CLI vs Sculptor](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-sculptor.md)\n- [Muse Code vs Sculptor](https://www.anchorterminal.com/compare/muse-code-vs-sculptor.md)\n- [OpenAI Agents API vs Sculptor](https://www.anchorterminal.com/compare/openai-agents-api-vs-sculptor.md)\n- [OpenAI Codex vs Sculptor](https://www.anchorterminal.com/compare/openai-codex-vs-sculptor.md)\n- [OpenCode vs Sculptor](https://www.anchorterminal.com/compare/opencode-vs-sculptor.md)\n- [OpenHands vs 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