{
  "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": 715,
        "ranked": true,
        "rankOf": 1486,
        "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 Traycer's 57 (C), and leads in 3 of 7 scored categories. Traycer leads on schema \u0026 documentation and maintenance \u0026 community.",
    "b": {
      "slug": "traycer",
      "name": "Traycer",
      "vendor": "Traycer AI",
      "vendorUrl": "https://traycer.ai",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "Traycer is an open-source orchestration app that runs coding agents you already pay for, or its own inference, in parallel with shared context across models, agent-to-agent messaging, shareable boards and cross-device sync.",
      "url": "https://www.anchorterminal.com/tools/traycer",
      "markdownUrl": "https://www.anchorterminal.com/tools/traycer.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/traycer.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/traycer.json",
      "dns": "traycer.grade.anchorterminal.com",
      "repo": "https://github.com/traycerai/traycer",
      "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://docs.traycer.ai",
      "capabilities": [
        "agent.harness",
        "agent.multi-agent"
      ],
      "tags": [
        "open-source",
        "mit",
        "desktop-app",
        "cli",
        "telemetry",
        "new"
      ],
      "lastRelease": "2026-11-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 57,
        "grade": "C",
        "agentReady": false,
        "rank": 811,
        "ranked": true,
        "rankOf": 1486,
        "categoryRank": 29,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 75,
          "payments": 30,
          "reliability": 65,
          "schema": 65,
          "security": 42,
          "transparency": 60
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-11-07"
        },
        "negative": 0,
        "verdict": "An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds.",
        "bestFor": "Teams who want several coding agents working together with shared context and boards.",
        "strengths": [
          "Runs agents you already pay for, or Traycer's own inference",
          "Shares context across models and lets agents message each other",
          "macOS, Linux and Windows builds, with package-manager installs",
          "MIT, with CodeQL, Scorecard and secret scanning"
        ],
        "weaknesses": [
          "Privacy Mode is opt-in for individuals; with it off, prompts may be logged",
          "Sentry and PostHog may be enabled in release builds, with no opt-out in the README",
          "Inference subscription price not found on the pages read"
        ],
        "agentNotes": [
          "Turn on Privacy Mode if you're an individual user and don't want prompts logged",
          "CLI agents you configure send requests straight to their provider; Traycer's own inference goes through Traycer"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "C",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 57
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 75,
          "payments": 30,
          "reliability": 65,
          "schema": 65,
          "security": 42,
          "transparency": 66
        },
        "provenanceScore": 53,
        "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 macOS, Linux or Windows from the releases page"
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/traycer"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Traycer AI",
        "domain": "traycer.ai",
        "domainRegistered": "",
        "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules.",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/traycerai/traycer/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-11-07",
        "notes": [
          "The licence names Traycer AI. The repository is github.com/traycerai/traycer."
        ],
        "score": 53
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/traycer.json",
      "live": {
        "slug": "traycer",
        "securityTxt": {
          "url": "https://traycer.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T15:59:47.880384121Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/traycerai/traycer/main/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-11-07T14:23:51.024738302Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "d3f389f721e9"
          }
        ],
        "updatedAt": "2026-11-07T15:59:47.880384121Z"
      }
    },
    "edges": [
      {
        "by": 43,
        "category": "maintenance",
        "leads": "traycer",
        "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 host 1.5.3 (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 (0). Current apps and CLI packages (15). CI with tests (10). 30 + 20 + 0 + 15 + 10 = 75."
        },
        "scores": {
          "a": 32,
          "b": 75
        }
      },
      {
        "by": 30,
        "category": "payments",
        "leads": "mini-swe-agent",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "Self-hosted rule. No payment protocol (0). Free under MIT with nothing to buy (20). No card or account for the software, and it runs against a local model (20). An agent can install it from PyPI and run a task with no sign-up, given a model endpoint (20).",
          "b": "Scored on the paid option, Traycer's own inference subscription, whose price wasn't read (0 of 20). No protocol (0). Bring-your-own-agent use is free (20). Accounts for sync and teams weren't checked, half (10). 0 + 0 + 20 + 10 = 30."
        },
        "scores": {
          "a": 60,
          "b": 30
        }
      },
      {
        "by": 16,
        "category": "security",
        "leads": "mini-swe-agent",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Harness reading of the framework checklist, used for every harness in this batch. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. No telemetry in mini's own source, and prompts go only to the configured provider. LiteLLM's own network behaviour wasn't checked (28). The CLI asks before each command by default, with regex whitelists and `-y` to skip, but the Python `DefaultAgent` never asks, the default local environment has no isolation and passes the full host environment to every command, and the experimental bubblewrap sandbox leaks host variables and shares the network (CVE-2026-108592). Docker forwards no host variables unless listed (8). No prompt-injection guidance found (2). A full trajectory of every command and output saved as JSON after each step, and a trajectory inspector (13). A security policy (docs/SECURITY.md) naming four maintainers to contact by email, with no response time, which meets the disclosure-policy reading at 7 as for cowagent and tokenrip. No bounty or advisory page, and CVE-2026-108592 (VulnCheck, 10 October) still has no fix in any release or on main. Compromised LiteLLM 1.82.7 and 1.82.8 are excluded in the dependency pins since 24 March 2026 (#794) (7).",
          "b": "Harness reading. Code is processed in memory and not used for training, but Privacy Mode is opt-in for individuals, prompts may be logged with it off, and Sentry and PostHog 'may be enabled in release builds' (10 of 30). No approval model described in the README (8 of 20). No prompt-injection guidance (5). No audit log found (5). SECURITY.md, CodeQL, Scorecard and secret scanning (14 of 20). 10 + 8 + 5 + 5 + 14 = 42."
        },
        "scores": {
          "a": 58,
          "b": 42
        }
      },
      {
        "by": 7,
        "category": "schema",
        "leads": "traycer",
        "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. Mintlify docs, a protocol package and a CLI (65)."
        },
        "scores": {
          "a": 58,
          "b": 65
        }
      }
    ],
    "facts": [
      {
        "a": "Agent harness",
        "b": "Agent harness",
        "name": "Kind"
      },
      {
        "a": "SWE-bench team (Princeton and Stanford)",
        "b": "Traycer AI",
        "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 Traycer's 57 (C), and leads in 3 of 7 scored categories. Traycer leads on schema \u0026 documentation and maintenance \u0026 community.",
        "question": "Which is better for AI agents, mini-swe-agent or Traycer?"
      },
      {
        "answer": "Yes. mini-swe-agent is open source (MIT). Traycer is open source (MIT).",
        "question": "Are mini-swe-agent and Traycer open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 58 against 42",
          "Payments \u0026 pricing, 60 against 30"
        ],
        "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": [
          "Schema \u0026 documentation, 65 against 58",
          "Maintenance \u0026 community, 75 against 32"
        ],
        "also": null,
        "goodFor": "Teams who want several coding agents working together with shared context and boards.",
        "slug": "traycer",
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        "json": "https://www.anchorterminal.com/compare/devin-vs-traycer.json",
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        "json": "https://www.anchorterminal.com/compare/letta-vs-traycer.json",
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        "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-minimax-code.json",
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        "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-mistral-vibe-cli.json",
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        "json": "https://www.anchorterminal.com/compare/sculptor-vs-traycer.json",
        "title": "Sculptor vs Traycer",
        "url": "https://www.anchorterminal.com/compare/sculptor-vs-traycer"
      },
      {
        "json": "https://www.anchorterminal.com/compare/t3-code-vs-traycer.json",
        "title": "T3 Code vs Traycer",
        "url": "https://www.anchorterminal.com/compare/t3-code-vs-traycer"
      },
      {
        "json": "https://www.anchorterminal.com/compare/traycer-vs-unstoppable.json",
        "title": "Traycer vs Unstoppable",
        "url": "https://www.anchorterminal.com/compare/traycer-vs-unstoppable"
      },
      {
        "json": "https://www.anchorterminal.com/compare/traycer-vs-verdent.json",
        "title": "Traycer vs Verdent",
        "url": "https://www.anchorterminal.com/compare/traycer-vs-verdent"
      },
      {
        "json": "https://www.anchorterminal.com/compare/traycer-vs-vibe-trading.json",
        "title": "Traycer vs Vibe-Trading",
        "url": "https://www.anchorterminal.com/compare/traycer-vs-vibe-trading"
      },
      {
        "json": "https://www.anchorterminal.com/compare/traycer-vs-warp.json",
        "title": "Traycer vs Warp (Warp Agent CLI and the Oz Agent API)",
        "url": "https://www.anchorterminal.com/compare/traycer-vs-warp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/clawboo-vs-traycer.json",
        "title": "Clawboo vs Traycer",
        "url": "https://www.anchorterminal.com/compare/clawboo-vs-traycer"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cli-manager-vs-traycer.json",
        "title": "CLI Manager vs Traycer",
        "url": "https://www.anchorterminal.com/compare/cli-manager-vs-traycer"
      },
      {
        "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-traycer.json",
        "title": "Harness vs Traycer",
        "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-traycer"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openmausbot-vs-traycer.json",
        "title": "OpenMausBot vs Traycer",
        "url": "https://www.anchorterminal.com/compare/openmausbot-vs-traycer"
      },
      {
        "json": "https://www.anchorterminal.com/compare/paperclip-vs-traycer.json",
        "title": "Paperclip vs Traycer",
        "url": "https://www.anchorterminal.com/compare/paperclip-vs-traycer"
      },
      {
        "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-traycer.json",
        "title": "Parallax vs Traycer",
        "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-traycer"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 0,
        "edge": "",
        "key": "reliability",
        "mini-swe-agent": 65,
        "name": "Reliability",
        "traycer": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 7,
        "edge": "traycer",
        "key": "schema",
        "mini-swe-agent": 58,
        "name": "Schema \u0026 documentation",
        "traycer": 65,
        "weight": 13
      },
      {
        "by": 4,
        "edge": "mini-swe-agent",
        "key": "ergonomics",
        "mini-swe-agent": 69,
        "name": "Agent ergonomics",
        "traycer": 65,
        "weight": 13
      },
      {
        "by": 16,
        "edge": "mini-swe-agent",
        "key": "security",
        "mini-swe-agent": 58,
        "name": "Security \u0026 auth",
        "traycer": 42,
        "weight": 14
      },
      {
        "by": 30,
        "edge": "mini-swe-agent",
        "key": "payments",
        "mini-swe-agent": 60,
        "name": "Payments \u0026 pricing",
        "traycer": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 43,
        "edge": "traycer",
        "key": "maintenance",
        "mini-swe-agent": 32,
        "name": "Maintenance \u0026 community",
        "traycer": 75,
        "weight": 7
      },
      {
        "by": 4,
        "edge": "traycer",
        "key": "transparency",
        "mini-swe-agent": 56,
        "name": "Transparency \u0026 trust",
        "traycer": 60,
        "weight": 7
      }
    ],
    "summary": "mini-swe-agent scores 59 (C) on agent readiness against Traycer's 57 (C), and leads in 3 of 7 scored categories. Traycer leads on schema \u0026 documentation and 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.",
      "traycer": "An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-traycer",
    "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-traycer.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-traycer.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-traycer.min.md"
  },
  "markdown": "mini-swe-agent scores 59 (C) on agent readiness against Traycer's 57 (C), and leads in 3 of 7 scored categories. Traycer leads on schema \u0026 documentation and maintenance \u0026 community. Both do agent harnesses.\n\n- mini-swe-agent: grade C, 59/100, rank #715 of 1486. Markdown https://www.anchorterminal.com/tools/mini-swe-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json\n- Traycer: grade C, 57/100, rank #811 of 1486. Markdown https://www.anchorterminal.com/tools/traycer.md · JSON https://www.anchorterminal.com/api/v1/tools/traycer.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- Security \u0026 auth, 58 against 42\n- Payments \u0026 pricing, 60 against 30\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### Traycer (C)\n\nGood for: Teams who want several coding agents working together with shared context and boards.\n\nAhead on:\n- Schema \u0026 documentation, 65 against 58\n- Maintenance \u0026 community, 75 against 32\n\nWatch for: Privacy Mode is opt-in for individuals; with it off, prompts may be logged\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Traycer +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- Traycer (75): Commits on 6 November 2026 and host 1.5.3 (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 (0). Current apps and CLI packages (15). CI with tests (10). 30 + 20 + 0 + 15 + 10 = 75.\n\n### Payments \u0026 pricing: mini-swe-agent +30\n\n- mini-swe-agent (60): Self-hosted rule. No payment protocol (0). Free under MIT with nothing to buy (20). No card or account for the software, and it runs against a local model (20). An agent can install it from PyPI and run a task with no sign-up, given a model endpoint (20).\n- Traycer (30): Scored on the paid option, Traycer's own inference subscription, whose price wasn't read (0 of 20). No protocol (0). Bring-your-own-agent use is free (20). Accounts for sync and teams weren't checked, half (10). 0 + 0 + 20 + 10 = 30.\n\n### Security \u0026 auth: mini-swe-agent +16\n\n- mini-swe-agent (58): Harness reading of the framework checklist, used for every harness in this batch. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. No telemetry in mini's own source, and prompts go only to the configured provider. LiteLLM's own network behaviour wasn't checked (28). The CLI asks before each command by default, with regex whitelists and `-y` to skip, but the Python `DefaultAgent` never asks, the default local environment has no isolation and passes the full host environment to every command, and the experimental bubblewrap sandbox leaks host variables and shares the network (CVE-2026-108592). Docker forwards no host variables unless listed (8). No prompt-injection guidance found (2). A full trajectory of every command and output saved as JSON after each step, and a trajectory inspector (13). A security policy (docs/SECURITY.md) naming four maintainers to contact by email, with no response time, which meets the disclosure-policy reading at 7 as for cowagent and tokenrip. No bounty or advisory page, and CVE-2026-108592 (VulnCheck, 10 October) still has no fix in any release or on main. Compromised LiteLLM 1.82.7 and 1.82.8 are excluded in the dependency pins since 24 March 2026 (#794) (7).\n- Traycer (42): Harness reading. Code is processed in memory and not used for training, but Privacy Mode is opt-in for individuals, prompts may be logged with it off, and Sentry and PostHog 'may be enabled in release builds' (10 of 30). No approval model described in the README (8 of 20). No prompt-injection guidance (5). No audit log found (5). SECURITY.md, CodeQL, Scorecard and secret scanning (14 of 20). 10 + 8 + 5 + 5 + 14 = 42.\n\n### Schema \u0026 documentation: Traycer +7\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- Traycer (65): Harness reading. Mintlify docs, a protocol package and a CLI (65).\n\n## Score by category\n\n| Category | Weight | mini-swe-agent | Traycer | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 65 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 65 | Traycer +7 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 65 | mini-swe-agent +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 42 | mini-swe-agent +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | mini-swe-agent +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 32 | 75 | Traycer +43 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 56 | 60 | Traycer +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **59 · C** | **57 · C** | |\n\n## Facts side by side\n\n| Fact | mini-swe-agent | Traycer |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | SWE-bench team (Princeton and Stanford) | Traycer AI |\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### Traycer\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**Traycer.** An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds.\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### Traycer\n\n1. Turn on Privacy Mode if you're an individual user and don't want prompts logged\n2. CLI agents you configure send requests straight to their provider; Traycer's own inference goes through Traycer\n\n## Questions\n\n### Which is better for AI agents, mini-swe-agent or Traycer?\n\nmini-swe-agent scores 59 (C) on agent readiness against Traycer's 57 (C), and leads in 3 of 7 scored categories. Traycer leads on schema \u0026 documentation and maintenance \u0026 community.\n\n### Are mini-swe-agent and Traycer open source?\n\nYes. mini-swe-agent is open source (MIT). Traycer is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mini-swe-agent-vs-traycer.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mini-swe-agent-vs-traycer.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mini-swe-agent\", \"b\": \"traycer\"}`. From a terminal: `anchor compare mini-swe-agent traycer`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json and https://www.anchorterminal.com/api/v1/tools/traycer.json\n\n## Other comparisons with mini-swe-agent or Traycer\n\n- [Agent Zero vs mini-swe-agent](https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent.md)\n- [Agent Zero vs Traycer](https://www.anchorterminal.com/compare/agent-zero-vs-traycer.md)\n- [Aider vs mini-swe-agent](https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.md)\n- [Aider vs Traycer](https://www.anchorterminal.com/compare/aider-vs-traycer.md)\n- [Amp vs mini-swe-agent](https://www.anchorterminal.com/compare/amp-vs-mini-swe-agent.md)\n- [Amp vs Traycer](https://www.anchorterminal.com/compare/amp-vs-traycer.md)\n- [Antigravity CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/antigravity-cli-vs-mini-swe-agent.md)\n- [Antigravity CLI vs Traycer](https://www.anchorterminal.com/compare/antigravity-cli-vs-traycer.md)\n- [Auggie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/auggie-vs-mini-swe-agent.md)\n- [Auggie CLI vs Traycer](https://www.anchorterminal.com/compare/auggie-vs-traycer.md)\n- [AXLR vs mini-swe-agent](https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.md)\n- [AXLR vs Traycer](https://www.anchorterminal.com/compare/axlr-vs-traycer.md)\n- [Claude Code vs mini-swe-agent](https://www.anchorterminal.com/compare/claude-code-vs-mini-swe-agent.md)\n- [Claude Code vs Traycer](https://www.anchorterminal.com/compare/claude-code-vs-traycer.md)\n- [Cline vs mini-swe-agent](https://www.anchorterminal.com/compare/cline-vs-mini-swe-agent.md)\n- [Cline vs Traycer](https://www.anchorterminal.com/compare/cline-vs-traycer.md)\n- [Conductor vs mini-swe-agent](https://www.anchorterminal.com/compare/conductor-vs-mini-swe-agent.md)\n- [Conductor vs Traycer](https://www.anchorterminal.com/compare/conductor-vs-traycer.md)\n- [Crush vs mini-swe-agent](https://www.anchorterminal.com/compare/crush-vs-mini-swe-agent.md)\n- [Crush vs Traycer](https://www.anchorterminal.com/compare/crush-vs-traycer.md)\n- [Cursor CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/cursor-cli-vs-mini-swe-agent.md)\n- [Cursor CLI vs Traycer](https://www.anchorterminal.com/compare/cursor-cli-vs-traycer.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 Traycer](https://www.anchorterminal.com/compare/deepseek-harness-vs-traycer.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 Traycer](https://www.anchorterminal.com/compare/deepseek-superagent-vs-traycer.md)\n- [Devin vs mini-swe-agent](https://www.anchorterminal.com/compare/devin-vs-mini-swe-agent.md)\n- [Devin vs Traycer](https://www.anchorterminal.com/compare/devin-vs-traycer.md)\n- [Droid CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/droid-cli-vs-mini-swe-agent.md)\n- [Droid CLI vs Traycer](https://www.anchorterminal.com/compare/droid-cli-vs-traycer.md)\n- [Pi vs mini-swe-agent](https://www.anchorterminal.com/compare/earendil-pi-vs-mini-swe-agent.md)\n- [Pi vs Traycer](https://www.anchorterminal.com/compare/earendil-pi-vs-traycer.md)\n- [Emdash vs mini-swe-agent](https://www.anchorterminal.com/compare/emdash-vs-mini-swe-agent.md)\n- [Emdash vs Traycer](https://www.anchorterminal.com/compare/emdash-vs-traycer.md)\n- [Gemini CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/gemini-cli-vs-mini-swe-agent.md)\n- [Gemini CLI vs Traycer](https://www.anchorterminal.com/compare/gemini-cli-vs-traycer.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 Traycer](https://www.anchorterminal.com/compare/github-copilot-cli-vs-traycer.md)\n- [goose vs mini-swe-agent](https://www.anchorterminal.com/compare/goose-vs-mini-swe-agent.md)\n- [goose vs Traycer](https://www.anchorterminal.com/compare/goose-vs-traycer.md)\n- [Harness² vs mini-swe-agent](https://www.anchorterminal.com/compare/harness2-vs-mini-swe-agent.md)\n- [Harness² vs Traycer](https://www.anchorterminal.com/compare/harness2-vs-traycer.md)\n- [HarnessRouter vs mini-swe-agent](https://www.anchorterminal.com/compare/harnessrouter-vs-mini-swe-agent.md)\n- [HarnessRouter vs Traycer](https://www.anchorterminal.com/compare/harnessrouter-vs-traycer.md)\n- [Jules vs mini-swe-agent](https://www.anchorterminal.com/compare/jules-vs-mini-swe-agent.md)\n- [Jules vs Traycer](https://www.anchorterminal.com/compare/jules-vs-traycer.md)\n- [Junie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/junie-vs-mini-swe-agent.md)\n- [Junie CLI vs Traycer](https://www.anchorterminal.com/compare/junie-vs-traycer.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 Traycer](https://www.anchorterminal.com/compare/kilo-code-cli-vs-traycer.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 Traycer](https://www.anchorterminal.com/compare/kimi-code-cli-vs-traycer.md)\n- [Kiro CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/kiro-cli-vs-mini-swe-agent.md)\n- [Kiro CLI vs Traycer](https://www.anchorterminal.com/compare/kiro-cli-vs-traycer.md)\n- [Letta vs mini-swe-agent](https://www.anchorterminal.com/compare/letta-vs-mini-swe-agent.md)\n- [Letta vs Traycer](https://www.anchorterminal.com/compare/letta-vs-traycer.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 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