{
  "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",
      "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": 56.7,
        "grade": "C",
        "agentReady": false,
        "rank": 698,
        "ranked": true,
        "rankOf": 1146,
        "categoryRank": 25,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 49,
          "payments": 60,
          "reliability": 70,
          "schema": 58,
          "security": 56,
          "transparency": 51
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-18"
        },
        "negative": -4,
        "negativeNotes": [
          "2026-10-10. CVE-2026-108592 (CVSS 4.0 score 6.0, from VulnCheck). The bubblewrap environment builds its `bwrap` command without `--clearenv` or `--unshare-net`, so commands inherit the host environment, model keys included, and can send them out over the network after a prompt injection in task content. Confirmed in src/minisweagent/environments/extra/bubblewrap.py at 2.4.6 and on main (3 September). The environment is opt-in and marked experimental, but it's the documented lightweight sandbox and no release fixes it, -4. https://nvd.nist.gov/vuln/detail/CVE-2026-108592"
        ],
        "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 the only release in 90 days was 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",
          "One release in the 90 days to 18 October 2026, and three commits on main since 23 July",
          "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": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 56.7
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 49,
          "payments": 60,
          "reliability": 70,
          "schema": 58,
          "security": 56,
          "transparency": 62
        },
        "provenanceScore": 40
      },
      "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": "2026-10-18",
        "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."
        ],
        "score": 40
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.json"
    },
    "answer": "OpenAI Codex scores 73.4 (BB) on agent readiness against mini-swe-agent's 56.7 (C), and leads in 5 of 7 scored categories. mini-swe-agent leads on reliability.",
    "b": {
      "slug": "openai-codex",
      "name": "OpenAI Codex",
      "vendor": "OpenAI",
      "vendorUrl": "https://openai.com",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "OpenAI's coding agent for software development tasks.",
      "url": "https://www.anchorterminal.com/tools/openai-codex",
      "markdownUrl": "https://www.anchorterminal.com/tools/openai-codex.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-codex.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-codex.json",
      "repo": "https://github.com/openai/codex",
      "license": "Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms",
      "transports": [],
      "packages": [
        {
          "registry": "npm",
          "name": "@openai/codex"
        }
      ],
      "auth": "mixed",
      "authNotes": "Sign in with a ChatGPT account (Free, Go, Plus, Pro, Business, Edu or Enterprise) or use an OpenAI API key. Cloud work such as GitHub code review and the Slack integration comes with Plus and above, and none of it works with an API key. `--oss` talks to a local Ollama or LM Studio server and needs no account.",
      "pricing": "freemium",
      "pricingNotes": "Included in every ChatGPT plan. Free $0, Go $8 a month, Plus $20, Pro from $100 (tiers at $100, $200 and $500), Business $20 a user a month billed annually for two or more users, Enterprise and Edu by quote. On Plus the docs estimate 15 to 160 local messages per five hours with GPT-6.1 Sol, and Pro has no five-hour limit. Cloud tasks use more of the allowance. With an API key you pay API token rates and can't use the cloud agent (checked 2026-10-02).",
      "priceSummary": "$20 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the pricing page or the source (checked 2026-10-02).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 126000,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-02"
      },
      "docsUrl": "https://developers.openai.com/codex",
      "llmsTxt": "https://learn.chatgpt.com/llms.txt",
      "capabilities": [
        "agent.harness",
        "agent.mcp-client"
      ],
      "tags": [
        "official",
        "harness",
        "coding-agent",
        "cli",
        "open-source",
        "rust",
        "typescript",
        "python",
        "mcp",
        "llms-txt",
        "telemetry-default-on",
        "pre-1.0",
        "free-tier",
        "no-card",
        "hosted",
        "status-page"
      ],
      "lastRelease": "2026-10-15",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 73.4,
        "grade": "BB",
        "agentReady": true,
        "rank": 94,
        "ranked": true,
        "rankOf": 1146,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 55,
          "schema": 90,
          "security": 82,
          "transparency": 84
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-17"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-04-14. CVE-2025-61260 (GHSA-xrxf-jgv3-qmrm), critical (CVSS 9.8 from CISA-ADP), code execution through MCP configuration files in a repository for Codex CLI 0.23.0 and earlier, published to NVD and the GitHub Advisory Database from Check Point Research's 2025 report. Fixed in 2025 and documented by the researcher, with no advisory in OpenAI's own repository, so a small deduction (https://nvd.nist.gov/vuln/detail/CVE-2025-61260; https://research.checkpoint.com/2025/openai-codex-cli-command-injection-vulnerability/)"
        ],
        "verdict": "Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only. Pre-1.0 at 0.163.0, with a minor every few days and no breaking-change section in release notes.",
        "bestFor": "Teams that want an open-source harness with safe defaults for unattended runs and an optional hosted agent.",
        "strengths": [
          "Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only",
          "Apache-2.0, with public CI and a JSON Schema for config.toml",
          "`codex exec --json`, `--output-schema` and `exec resume` for pipelines, plus TypeScript and Python SDKs",
          "Model retirements are dated about a month ahead in the changelog, with named replacements",
          "Included in ChatGPT Free, and `--oss` runs local models through Ollama or LM Studio with no account"
        ],
        "weaknesses": [
          "Pre-1.0 at 0.163.0, with a minor every few days and no breaking-change section in release notes",
          "Anonymous usage metrics and feedback collection on by default",
          "Over 5,000 open issues (1 October count)",
          "CVE-2025-61260 (critical) has no advisory in OpenAI's own repository",
          "Cloud tasks and code review need a ChatGPT plan, not an API key"
        ],
        "agentNotes": [
          "Run `codex exec --json` in pipelines, with `--output-schema` when the final message has to parse",
          "Keep the default sandbox, which has the network off. `--yolo` removes both the sandbox and approvals",
          "Replace `gpt-5.5` with `gpt-6.1-sol` in saved configs, custom agents and scripts under ChatGPT sign-in. GPT-5.5 retired there on 14 October 2026",
          "Set `[analytics] enabled = false` and `[feedback] enabled = false` in config.toml to keep usage data local",
          "Pin the npm version. A 0.x minor lands every few days"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 73.4
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 55,
          "schema": 90,
          "security": 82,
          "transparency": 75
        },
        "provenanceScore": 93
      },
      "connect": {
        "install": "npm i -g @openai/codex   # or: brew install --cask codex",
        "headless": {
          "run": "codex exec --json \"fix the failing test\""
        }
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/openai-codex"
      },
      "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"
      ],
      "area": "frameworks",
      "unitPrices": [
        {
          "item": "ChatGPT Plus",
          "unit": "month",
          "usd": 20,
          "note": "includes Codex local and cloud"
        },
        {
          "item": "ChatGPT Pro",
          "unit": "month",
          "usd": 100,
          "note": "lowest Pro tier, no five-hour limit"
        }
      ],
      "provenance": {
        "legalEntity": "OpenAI OpCo, LLC",
        "domain": "openai.com",
        "domainRegistered": "2007-01-19",
        "endpointOnVendorDomain": null,
        "terms": "https://openai.com/policies/services-agreement/",
        "privacy": "https://openai.com/policies/privacy-policy/",
        "statusPage": "https://status.openai.com",
        "changelog": "https://github.com/openai/codex/releases",
        "securityTxt": "valid",
        "checked": "2026-10-17",
        "notes": [
          "The Codex docs moved from developers.openai.com/codex to learn.chatgpt.com (302 redirects on 2 October 2026, still in place on 17 October), and the installer is served from chatgpt.com.",
          "learn.chatgpt.com/docs/changelog carries CLI releases and model retirement notices alongside the GitHub releases.",
          "Legal entity, domain date and security.txt are from the openai-api listing's check of 26 September 2026."
        ],
        "score": 93
      },
      "requirements": {
        "card": "paid-only",
        "freeTier": true,
        "minutes": 3,
        "credential": "mixed",
        "hosting": [
          "US",
          "EU",
          "UK",
          "CA",
          "APAC",
          "self-hosted"
        ],
        "euResidency": "enterprise",
        "trainsOnData": "no",
        "zeroRetention": "enterprise",
        "certifications": [
          "SOC 2 Type II",
          "ISO 27001",
          "ISO 27701",
          "ISO 42001",
          "CSA STAR",
          "GDPR"
        ],
        "dpa": true,
        "selfHost": "yes"
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-codex.json",
      "live": {
        "slug": "openai-codex",
        "vendorStatus": {
          "page": "https://status.openai.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-19T00:05:29.839953974Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "openai/codex",
            "version": "rust-v0.163.0",
            "released": "2026-10-15",
            "seenAt": "2026-10-18T03:06:10.024976343Z"
          },
          {
            "registry": "npm",
            "name": "@openai/codex",
            "version": "0.163.0",
            "seenAt": "2026-10-18T03:06:09.800991356Z"
          }
        ],
        "githubStars": 129659,
        "npmWeekly": 15038867,
        "securityTxt": {
          "url": "https://openai.com/.well-known/security.txt",
          "state": "valid",
          "checkedAt": "2026-10-18T15:53:50.268312931Z"
        },
        "llmsTxt": {
          "url": "https://learn.chatgpt.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:39.407773399Z"
        },
        "domain": {
          "domain": "openai.com",
          "registered": "2007-01-19",
          "source": "https://rdap.verisign.com/com/v1/domain/openai.com",
          "checkedAt": "2026-10-18T13:30:33.572293827Z"
        },
        "updatedAt": "2026-10-19T00:05:29.839953974Z"
      }
    },
    "facts": [
      {
        "a": "Agent harness",
        "b": "Agent harness",
        "name": "Kind"
      },
      {
        "a": "SWE-bench team (Princeton and Stanford)",
        "b": "OpenAI",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-07-23",
        "b": "2026-10-15",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "8.6k stars, 4.4M PyPI/wk",
        "b": "126k stars",
        "name": "Popularity"
      },
      {
        "a": "3/5 (4)",
        "b": "3/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI Codex scores 73.4 (BB) on agent readiness against mini-swe-agent's 56.7 (C), and leads in 5 of 7 scored categories. mini-swe-agent leads on reliability.",
        "question": "Which is better for AI agents, mini-swe-agent or OpenAI Codex?"
      },
      {
        "answer": "Yes. mini-swe-agent is open source (MIT). OpenAI Codex is open source (Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms).",
        "question": "Are mini-swe-agent and OpenAI Codex open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 70 against 55"
        ],
        "also": [
          "No key needed to call it"
        ],
        "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": [
          "Schema \u0026 documentation, 90 against 58",
          "Agent ergonomics, 80 against 69",
          "Security \u0026 auth, 82 against 56",
          "Maintenance \u0026 community, 87 against 49",
          "Transparency \u0026 trust, 84 against 51"
        ],
        "also": [
          "Agent-ready, a grade of BB or better"
        ],
        "goodFor": "Teams that want an open-source harness with safe defaults for unattended runs and an optional hosted agent.",
        "slug": "openai-codex",
        "watchFor": "Pre-1.0 at 0.163.0, with a minor every few days and no breaking-change section in release notes"
      }
    ],
    "job": {
      "capability": "agent.harness",
      "name": "Agent harnesses"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent.json",
        "title": "Agent Zero vs mini-swe-agent",
        "url": "https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-codex.json",
        "title": "Agent Zero vs OpenAI Codex",
        "url": "https://www.anchorterminal.com/compare/agent-zero-vs-openai-codex"
      },
      {
        "json": "https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.json",
        "title": "Aider vs mini-swe-agent",
        "url": "https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent"
      },
      {
        "json": "https://www.anchorterminal.com/compare/aider-vs-openai-codex.json",
        "title": "Aider vs OpenAI Codex",
        "url": "https://www.anchorterminal.com/compare/aider-vs-openai-codex"
      },
      {
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        "key": "reliability",
        "mini-swe-agent": 70,
        "name": "Reliability",
        "openai-codex": 55,
        "weight": 16
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      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
        "by": 32,
        "edge": "openai-codex",
        "key": "schema",
        "mini-swe-agent": 58,
        "name": "Schema \u0026 documentation",
        "openai-codex": 90,
        "weight": 13
      },
      {
        "by": 11,
        "edge": "openai-codex",
        "key": "ergonomics",
        "mini-swe-agent": 69,
        "name": "Agent ergonomics",
        "openai-codex": 80,
        "weight": 13
      },
      {
        "by": 26,
        "edge": "openai-codex",
        "key": "security",
        "mini-swe-agent": 56,
        "name": "Security \u0026 auth",
        "openai-codex": 82,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "mini-swe-agent": 60,
        "name": "Payments \u0026 pricing",
        "openai-codex": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 38,
        "edge": "openai-codex",
        "key": "maintenance",
        "mini-swe-agent": 49,
        "name": "Maintenance \u0026 community",
        "openai-codex": 87,
        "weight": 7
      },
      {
        "by": 33,
        "edge": "openai-codex",
        "key": "transparency",
        "mini-swe-agent": 51,
        "name": "Transparency \u0026 trust",
        "openai-codex": 84,
        "weight": 7
      }
    ],
    "summary": "OpenAI Codex scores 73.4 (BB) on agent readiness against mini-swe-agent's 56.7 (C), and leads in 5 of 7 scored categories. mini-swe-agent leads on reliability. Both do agent harnesses.",
    "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 the only release in 90 days was 2.4.6 on 23 July 2026.",
      "openai-codex": "Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only. Pre-1.0 at 0.163.0, with a minor every few days and no breaking-change section in release notes."
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  "markdown": "OpenAI Codex scores 73.4 (BB) on agent readiness against mini-swe-agent's 56.7 (C), and leads in 5 of 7 scored categories. mini-swe-agent leads on reliability. Both do agent harnesses.\n\n- mini-swe-agent: grade C, 56.7/100, rank #698 of 1146. Markdown https://www.anchorterminal.com/tools/mini-swe-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json\n- OpenAI Codex: grade BB, 73.4/100, rank #94 of 1146. Markdown https://www.anchorterminal.com/tools/openai-codex.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-codex.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 713 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, 70 against 55\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: The default local environment runs commands on the host with no isolation and the full host environment\n\n### OpenAI Codex (BB)\n\nGood for: Teams that want an open-source harness with safe defaults for unattended runs and an optional hosted agent.\n\nAhead on:\n- Schema \u0026 documentation, 90 against 58\n- Agent ergonomics, 80 against 69\n- Security \u0026 auth, 82 against 56\n- Maintenance \u0026 community, 87 against 49\n- Transparency \u0026 trust, 84 against 51\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Pre-1.0 at 0.163.0, with a minor every few days and no breaking-change section in release notes\n\n\n## Score by category\n\n| Category | Weight | mini-swe-agent | OpenAI Codex | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 55 | mini-swe-agent +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 90 | OpenAI Codex +32 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 80 | OpenAI Codex +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 56 | 82 | OpenAI Codex +26 |\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) | 49 | 87 | OpenAI Codex +38 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 51 | 84 | OpenAI Codex +33 |\n| Negative events | ≤15 | -4 | -2 | |\n| **Total** | | **56.7 · C** | **73.4 · BB** | |\n\n## Facts side by side\n\n| Fact | mini-swe-agent | OpenAI Codex |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | SWE-bench team (Princeton and Stanford) | OpenAI |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms |\n| Read-only variant documented | no | yes |\n| llms.txt | no | yes |\n| Last release | 2026-07-23 | 2026-10-15 |\n| Terms last updated | no document linked | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\n| Customer content may train models |  | couldn't be read |\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 | 8.6k stars, 4.4M PyPI/wk | 126k stars |\n| Agent reviews | 3/5 (4) | 3/5 (2) |\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 the only release in 90 days was 2.4.6 on 23 July 2026.\n\n**OpenAI Codex.** Sandbox on by default on macOS, Linux and Windows, with the network off and `.git` and `.codex` read-only. Pre-1.0 at 0.163.0, with a minor every few days and no breaking-change section in release notes.\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### OpenAI Codex\n\n1. Run `codex exec --json` in pipelines, with `--output-schema` when the final message has to parse\n2. Keep the default sandbox, which has the network off. `--yolo` removes both the sandbox and approvals\n3. Replace `gpt-5.5` with `gpt-6.1-sol` in saved configs, custom agents and scripts under ChatGPT sign-in. GPT-5.5 retired there on 14 October 2026\n4. Set `[analytics] enabled = false` and `[feedback] enabled = false` in config.toml to keep usage data local\n5. Pin the npm version. A 0.x minor lands every few days\n\n## Questions\n\n### Which is better for AI agents, mini-swe-agent or OpenAI Codex?\n\nOpenAI Codex scores 73.4 (BB) on agent readiness against mini-swe-agent's 56.7 (C), and leads in 5 of 7 scored categories. mini-swe-agent leads on reliability.\n\n### Are mini-swe-agent and OpenAI Codex open source?\n\nYes. mini-swe-agent is open source (MIT). OpenAI Codex is open source (Apache-2.0 (Codex CLI, its Rust crates and the TypeScript and Python SDKs). Codex cloud is a hosted service under OpenAI's terms).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-codex.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-codex.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mini-swe-agent\", \"b\": \"openai-codex\"}`. From a terminal: `anchor compare mini-swe-agent openai-codex`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json and https://www.anchorterminal.com/api/v1/tools/openai-codex.json\n\n## Other comparisons with mini-swe-agent or OpenAI Codex\n\n- [Agent Zero vs mini-swe-agent](https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent.md)\n- [Agent Zero vs OpenAI Codex](https://www.anchorterminal.com/compare/agent-zero-vs-openai-codex.md)\n- [Aider vs mini-swe-agent](https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.md)\n- [Aider vs OpenAI Codex](https://www.anchorterminal.com/compare/aider-vs-openai-codex.md)\n- [Amp vs mini-swe-agent](https://www.anchorterminal.com/compare/amp-vs-mini-swe-agent.md)\n- [Amp vs OpenAI Codex](https://www.anchorterminal.com/compare/amp-vs-openai-codex.md)\n- [Antigravity CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/antigravity-cli-vs-mini-swe-agent.md)\n- [Antigravity CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/antigravity-cli-vs-openai-codex.md)\n- [Auggie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/auggie-vs-mini-swe-agent.md)\n- [Auggie CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/auggie-vs-openai-codex.md)\n- [Claude Code vs mini-swe-agent](https://www.anchorterminal.com/compare/claude-code-vs-mini-swe-agent.md)\n- [Claude Code vs OpenAI Codex](https://www.anchorterminal.com/compare/claude-code-vs-openai-codex.md)\n- [Cline vs mini-swe-agent](https://www.anchorterminal.com/compare/cline-vs-mini-swe-agent.md)\n- [Cline vs OpenAI Codex](https://www.anchorterminal.com/compare/cline-vs-openai-codex.md)\n- [Crush vs mini-swe-agent](https://www.anchorterminal.com/compare/crush-vs-mini-swe-agent.md)\n- [Crush vs OpenAI Codex](https://www.anchorterminal.com/compare/crush-vs-openai-codex.md)\n- [Cursor CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/cursor-cli-vs-mini-swe-agent.md)\n- [Cursor CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/cursor-cli-vs-openai-codex.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 OpenAI Codex](https://www.anchorterminal.com/compare/deepseek-harness-vs-openai-codex.md)\n- [Devin vs mini-swe-agent](https://www.anchorterminal.com/compare/devin-vs-mini-swe-agent.md)\n- [Devin vs OpenAI Codex](https://www.anchorterminal.com/compare/devin-vs-openai-codex.md)\n- [Droid CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/droid-cli-vs-mini-swe-agent.md)\n- [Droid CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/droid-cli-vs-openai-codex.md)\n- [Pi vs mini-swe-agent](https://www.anchorterminal.com/compare/earendil-pi-vs-mini-swe-agent.md)\n- [Pi vs OpenAI Codex](https://www.anchorterminal.com/compare/earendil-pi-vs-openai-codex.md)\n- [Gemini CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/gemini-cli-vs-mini-swe-agent.md)\n- [Gemini CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/gemini-cli-vs-openai-codex.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 OpenAI Codex](https://www.anchorterminal.com/compare/github-copilot-cli-vs-openai-codex.md)\n- [goose vs mini-swe-agent](https://www.anchorterminal.com/compare/goose-vs-mini-swe-agent.md)\n- [goose vs OpenAI Codex](https://www.anchorterminal.com/compare/goose-vs-openai-codex.md)\n- [Harness² vs mini-swe-agent](https://www.anchorterminal.com/compare/harness2-vs-mini-swe-agent.md)\n- [Harness² vs OpenAI Codex](https://www.anchorterminal.com/compare/harness2-vs-openai-codex.md)\n- [HarnessRouter vs mini-swe-agent](https://www.anchorterminal.com/compare/harnessrouter-vs-mini-swe-agent.md)\n- [HarnessRouter vs OpenAI Codex](https://www.anchorterminal.com/compare/harnessrouter-vs-openai-codex.md)\n- [Jules vs mini-swe-agent](https://www.anchorterminal.com/compare/jules-vs-mini-swe-agent.md)\n- [Jules vs OpenAI Codex](https://www.anchorterminal.com/compare/jules-vs-openai-codex.md)\n- [Junie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/junie-vs-mini-swe-agent.md)\n- [Junie CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/junie-vs-openai-codex.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 OpenAI Codex](https://www.anchorterminal.com/compare/kilo-code-cli-vs-openai-codex.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 OpenAI Codex](https://www.anchorterminal.com/compare/kimi-code-cli-vs-openai-codex.md)\n- [Kiro CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/kiro-cli-vs-mini-swe-agent.md)\n- [Kiro CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/kiro-cli-vs-openai-codex.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 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 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 Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/mini-swe-agent-vs-warp.md)\n- [Mistral Vibe CLI vs OpenAI Codex](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-openai-codex.md)\n- [Muse Code vs OpenAI Codex](https://www.anchorterminal.com/compare/muse-code-vs-openai-codex.md)\n- [OpenAI Codex vs OpenCode](https://www.anchorterminal.com/compare/openai-codex-vs-opencode.md)\n- [OpenAI Codex vs OpenHands](https://www.anchorterminal.com/compare/openai-codex-vs-openhands.md)\n- [OpenAI Codex vs Prime Agent](https://www.anchorterminal.com/compare/openai-codex-vs-prime-agent.md)\n- [OpenAI Codex vs Qoder CLI](https://www.anchorterminal.com/compare/openai-codex-vs-qoder-cli.md)\n- [OpenAI Codex vs Qwen Code](https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.md)\n- [OpenAI Codex vs Mirror CLI](https://www.anchorterminal.com/compare/openai-codex-vs-reflection-mirror.md)\n- [OpenAI Codex vs Rovo Dev CLI](https://www.anchorterminal.com/compare/openai-codex-vs-rovo-dev-cli.md)\n- [OpenAI Codex vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/openai-codex-vs-warp.md)\n",
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