{
  "data": {
    "a": {
      "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"
      }
    },
    "answer": "Sculptor scores 53.1 (D) on agent readiness against Verdent's 39.7 (E), and leads in 5 of 7 scored categories. Verdent leads on schema \u0026 documentation.",
    "b": {
      "slug": "verdent",
      "name": "Verdent",
      "vendor": "Verdent AI, Inc.",
      "vendorUrl": "https://www.verdent.ai",
      "kind": "harness",
      "category": "agent-harnesses",
      "summary": "Verdent is a coding agent from Verdent AI, Inc., with a desktop app for macOS and Windows, VS Code and JetBrains extensions and a browser edition. It plans tasks, runs parallel workers in git worktrees and uses MCP servers.",
      "url": "https://www.anchorterminal.com/tools/verdent",
      "markdownUrl": "https://www.anchorterminal.com/tools/verdent.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/verdent.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/verdent.json",
      "dns": "verdent.grade.anchorterminal.com",
      "license": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published",
      "transports": [],
      "packages": [],
      "auth": "mixed",
      "authNotes": "A person signs in to a Verdent account with Google, GitHub or email in a browser. Model use runs on Verdent credits through llm-proxy.verdent.ai, or on the user's own Anthropic, OpenAI or OpenRouter key (BYOK). BYOA runs workers on a local Claude Code or Codex CLI with keys kept on the machine. No API key or token for driving Verdent from another program was found.",
      "pricing": "paid",
      "pricingNotes": "From $5 a month (Lite), then $19 Starter, $59 Pro and $179 Max with 320, 1,000 and 3,000 credits a month (doubled by a limited-time bonus). One credit is about $0.059 at provider rates. Top-ups $20 for 340 credits to $200 for 3,400. Free Mode and the free trial ended with v2.18.0 on 29 October 2026.",
      "priceSummary": "$5 / mo",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, pricing page, terms or changelog (checked 2026-11-06). Subscriptions and top-ups go through Stripe.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://www.verdent.ai/docs/verdent-manager/getting-started/overview",
      "capabilities": [
        "agent.harness",
        "agent.multi-agent",
        "agent.mcp-client"
      ],
      "tags": [
        "official",
        "harness",
        "coding-agent",
        "closed-source",
        "desktop",
        "vscode",
        "jetbrains",
        "mcp",
        "byok",
        "paid-plans",
        "no-sandbox"
      ],
      "lastRelease": "2026-10-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 39.7,
        "grade": "E",
        "agentReady": false,
        "rank": 1336,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 53,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 35,
          "maintenance": 61,
          "payments": 20,
          "reliability": 43,
          "schema": 55,
          "security": 33,
          "transparency": 55
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-11-06. The changelog says v2.18.0 of 29 October 2026 retired Free Mode, the free trial and the 100 welcome credits, while the pricing page FAQ read on 6 November still says \"Your free trial includes 100 credits\" and the 1.0 docs overview still lists a free trial. A stale claim on the vendor's own pricing page, 2 points. https://www.verdent.ai/pricing, https://www.verdent.ai/changelog"
        ],
        "verdict": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.",
        "bestFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.",
        "strengths": [
          "Plan Mode is read-only and writes a plan.md for review before Agent Mode makes changes",
          "Parallel workers each run in their own git worktree, with a review column before work is accepted",
          "BYOA runs workers on a local Claude Code or Codex CLI, and BYOK takes Anthropic, OpenAI or OpenRouter keys",
          "Plan, top-up and per-credit prices are public, charged at provider token rates with no markup per the pricing page",
          "Every current docs page has a Markdown twin, and the changelog is dated by version"
        ],
        "weaknesses": [
          "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot",
          "No sandbox or network restriction documented, and the actions that need approval aren't listed",
          "Free Mode and the free trial ended on 29 October 2026, while the pricing page FAQ still promises 100 trial credits",
          "Event logging to log.verdent.ai has no documented opt-out, and the privacy policy gives no retention periods",
          "SOC 2 and ISO/IEC 42001 are being pursued, not held, and there is no bug bounty or security.txt"
        ],
        "agentNotes": [
          "Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode",
          "Start large changes in Plan Mode and review plan.md before switching to Agent Mode",
          "Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape",
          "Keep work under git, since rollback relies on git and there is no sandbox",
          "Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 39.7
          }
        ],
        "editorialScores": {
          "ergonomics": 35,
          "maintenance": 61,
          "payments": 20,
          "reliability": 43,
          "schema": 55,
          "security": 33,
          "transparency": 47
        },
        "provenanceScore": 62,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-06",
            "maintenance": "2026-11-06",
            "payments": "2026-11-06",
            "reliability": "2026-11-06",
            "schema": "2026-11-06",
            "security": "2026-11-06",
            "transparency": "2026-11-06"
          },
          "last": "2026-11-06",
          "oldest": "2026-11-06",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "config": {
          "mcpServers": {
            "github": {
              "args": [
                "-y",
                "@modelcontextprotocol/server-github"
              ],
              "command": "npx",
              "env": {
                "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/agent.harness",
        "tool": "https://letme.dev/verdent"
      },
      "area": "frameworks",
      "unitPrices": [
        {
          "item": "Lite plan",
          "unit": "month",
          "usd": 5,
          "note": "Eco Mode models and light usage"
        },
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 19,
          "note": "320 credits a month, 480 with the limited-time bonus"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 59,
          "note": "1,000 credits a month, 1,500 with the bonus"
        },
        {
          "item": "Max plan",
          "unit": "month",
          "usd": 179,
          "note": "3,000 credits a month, 4,500 with the bonus"
        },
        {
          "item": "Credit",
          "unit": "credit",
          "usd": 0.059,
          "note": "About $0.059, charged at provider token prices with no markup per the pricing page"
        }
      ],
      "provenance": {
        "legalEntity": "Verdent AI, Inc.",
        "domain": "verdent.ai",
        "domainRegistered": "2025-05-06",
        "endpointOnVendorDomain": true,
        "terms": "https://www.verdent.ai/terms",
        "privacy": "https://www.verdent.ai/privacy",
        "statusPage": "",
        "changelog": "https://www.verdent.ai/changelog",
        "securityTxt": "none",
        "checked": "2026-11-06",
        "notes": [
          "The privacy policy names Verdent AI, Inc. as data controller, and the terms choose California law.",
          "The terms forbid users to crawl, scrape or otherwise harvest data or information from the Services. Public pages were read once each.",
          "www.verdent.ai/robots.txt allows all crawlers.",
          "RDAP gives verdent.ai a registration date of 6 May 2025.",
          "/.well-known/security.txt returns 404, and status.verdent.ai did not answer. No status page found.",
          "The security page says SOC 2 and ISO/IEC 42001 are being pursued, not held, and takes vulnerability reports at hi@verdent.ai with acknowledgement within five business days."
        ],
        "score": 62
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/verdent.json",
      "live": {
        "slug": "verdent",
        "securityTxt": {
          "url": "https://verdent.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T15:59:33.272105482Z"
        },
        "pages": [
          {
            "url": "https://www.verdent.ai/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-11-07T14:36:28.662063151Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "bac05e4e426e"
          },
          {
            "url": "https://www.verdent.ai/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-07T14:36:31.354667853Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "3ec1d3c07d70"
          },
          {
            "url": "https://www.verdent.ai/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-07T14:36:33.295376926Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "206b6ec23a6a"
          }
        ],
        "updatedAt": "2026-11-07T15:59:33.272105482Z"
      }
    },
    "edges": [
      {
        "by": 40,
        "category": "payments",
        "leads": "sculptor",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "Free self-hosted software with nothing to buy, so 0 for a protocol and 20 each for public pricing, a free tier and onboarding with no sign-up, 60.",
          "b": "Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20."
        },
        "scores": {
          "a": 60,
          "b": 20
        }
      },
      {
        "by": 24,
        "category": "security",
        "leads": "sculptor",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Harness reading. Product analytics, error reporting and session recording default to off in the user config, and the app asks for a telemetry level and privacy consent at first run; PostHog runs on the front end only for now (25 of 30). Each workspace is an isolated copy of the code (14 of 20). No prompt-injection guidance (5). No audit log (5). SECURITY.md (8). 25 + 14 + 5 + 5 + 8 = 57.",
          "b": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing). Conversation history and tool results go to Verdent's US servers and on to Azure, Bedrock or Vertex, with zero data retention stated for Vertex and Bedrock only. Event logging to log.verdent.ai has no documented opt-out. BYOA keys stay on the machine (10). Plan Mode is read-only, Agent Mode asks before destructive commands and edits outside scope, and workers are isolated by git worktree, but there is no sandbox or network control and the approval list isn't enumerated (9). No prompt-injection guidance found, while web search and fetch results enter the context (2). Usage history in the dashboard, no audit log found (5). A security page with a disclosure address and a five-day acknowledgement, SOC 2 and ISO/IEC 42001 being pursued rather than held, no security.txt and no bug bounty (7). 10+9+2+5+7 = 33."
        },
        "scores": {
          "a": 57,
          "b": 33
        }
      },
      {
        "by": 15,
        "category": "ergonomics",
        "leads": "sculptor",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Harness reading. Workspaces as isolated copies, review and merge back, and built-in skills (50).",
          "b": "Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35."
        },
        "scores": {
          "a": 50,
          "b": 35
        }
      },
      {
        "by": 14,
        "category": "maintenance",
        "leads": "sculptor",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "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.",
          "b": "Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61."
        },
        "scores": {
          "a": 75,
          "b": 61
        }
      },
      {
        "by": 10,
        "category": "schema",
        "leads": "verdent",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Harness reading. A README, specs and agent docs in the repository; no API reference (45).",
          "b": "Framework reading for a harness. No schema for settings or output, only mcp.json examples in the standard mcpServers shape (5). Every current docs page has a Markdown twin at the same path with .md, though no llms.txt (10). The docs say when to use Agent Mode or Plan Mode and what Plan Mode can't do, but the Agent Mode page lists the actions that need approval only as \"certain tool executions\" and \"destructive operations\" (12). Modes and BYOA agent types are enumerated, permissions are not (5). Examples on the MCP, BYOA and messaging pages, and a recovery page, with no error codes (8). Version numbers and a dated public changelog (15). The archived 1.0 docs are still served beside the current ones. 5+10+12+5+8+15 = 55."
        },
        "scores": {
          "a": 45,
          "b": 55
        }
      }
    ],
    "facts": [
      {
        "a": "Agent harness",
        "b": "Agent harness",
        "name": "Kind"
      },
      {
        "a": "Imbue, Inc.",
        "b": "Verdent AI, Inc.",
        "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": "Paid",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "MIT",
        "b": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "yes",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-11-06",
        "b": "2026-10-29",
        "name": "Last release"
      },
      {
        "a": "no document linked",
        "b": "2026-05-25",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "b": "2026-05-26",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not read yet",
        "b": "yes",
        "name": "Customer content may train models"
      },
      {
        "a": "not read yet",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not read yet",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not read yet",
        "b": "yes",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not read yet",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      }
    ],
    "faq": [
      {
        "answer": "Sculptor scores 53.1 (D) on agent readiness against Verdent's 39.7 (E), and leads in 5 of 7 scored categories. Verdent leads on schema \u0026 documentation.",
        "question": "Which is better for AI agents, Sculptor or Verdent?"
      },
      {
        "answer": "Sculptor is open source (MIT). No open-source release is listed for Verdent.",
        "question": "Are Sculptor and Verdent open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Agent ergonomics, 50 against 35",
          "Security \u0026 auth, 57 against 33",
          "Payments \u0026 pricing, 60 against 20",
          "Maintenance \u0026 community, 75 against 61"
        ],
        "also": [
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        "url": "https://www.anchorterminal.com/compare/sculptor-vs-traycer"
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        "title": "Sculptor vs Warp (Warp Agent CLI and the Oz Agent API)",
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      {
        "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/cli-manager-vs-verdent.json",
        "title": "CLI Manager vs Verdent",
        "url": "https://www.anchorterminal.com/compare/cli-manager-vs-verdent"
      },
      {
        "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/harness-autonomous-vs-verdent.json",
        "title": "Harness vs Verdent",
        "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent"
      },
      {
        "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/openmausbot-vs-verdent.json",
        "title": "OpenMausBot vs Verdent",
        "url": "https://www.anchorterminal.com/compare/openmausbot-vs-verdent"
      },
      {
        "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/paperclip-vs-verdent.json",
        "title": "Paperclip vs Verdent",
        "url": "https://www.anchorterminal.com/compare/paperclip-vs-verdent"
      },
      {
        "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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent.json",
        "title": "Parallax vs Verdent",
        "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent"
      },
      {
        "json": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent.json",
        "title": "Unstoppable vs Verdent",
        "url": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 0,
        "edge": "",
        "key": "reliability",
        "name": "Reliability",
        "sculptor": 43,
        "verdent": 43,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 10,
        "edge": "verdent",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "sculptor": 45,
        "verdent": 55,
        "weight": 13
      },
      {
        "by": 15,
        "edge": "sculptor",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "sculptor": 50,
        "verdent": 35,
        "weight": 13
      },
      {
        "by": 24,
        "edge": "sculptor",
        "key": "security",
        "name": "Security \u0026 auth",
        "sculptor": 57,
        "verdent": 33,
        "weight": 14
      },
      {
        "by": 40,
        "edge": "sculptor",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "sculptor": 60,
        "verdent": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 14,
        "edge": "sculptor",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "sculptor": 75,
        "verdent": 61,
        "weight": 7
      },
      {
        "by": 2,
        "edge": "sculptor",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "sculptor": 57,
        "verdent": 55,
        "weight": 7
      }
    ],
    "summary": "Sculptor scores 53.1 (D) on agent readiness against Verdent's 39.7 (E), and leads in 5 of 7 scored categories. Verdent leads on schema \u0026 documentation. Both do agent harnesses.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "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.",
      "verdent": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/sculptor-vs-verdent",
    "json": "https://www.anchorterminal.com/compare/sculptor-vs-verdent.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/sculptor-vs-verdent.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/sculptor-vs-verdent.min.md"
  },
  "markdown": "Sculptor scores 53.1 (D) on agent readiness against Verdent's 39.7 (E), and leads in 5 of 7 scored categories. Verdent leads on schema \u0026 documentation. Both do agent harnesses.\n\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- Verdent: grade E, 39.7/100, rank #1336 of 1510. Markdown https://www.anchorterminal.com/tools/verdent.md · JSON https://www.anchorterminal.com/api/v1/tools/verdent.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### 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- Agent ergonomics, 50 against 35\n- Security \u0026 auth, 57 against 33\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 75 against 61\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: Labelled an experimental research preview that may change drastically\n\n### Verdent (E)\n\nGood for: A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.\n\nAhead on:\n- Schema \u0026 documentation, 55 against 45\n\nWatch for: No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Sculptor +40\n\n- Sculptor (60): Free self-hosted software with nothing to buy, so 0 for a protocol and 20 each for public pricing, a free tier and onboarding with no sign-up, 60.\n- Verdent (20): Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20.\n\n### Security \u0026 auth: Sculptor +24\n\n- Sculptor (57): Harness reading. Product analytics, error reporting and session recording default to off in the user config, and the app asks for a telemetry level and privacy consent at first run; PostHog runs on the front end only for now (25 of 30). Each workspace is an isolated copy of the code (14 of 20). No prompt-injection guidance (5). No audit log (5). SECURITY.md (8). 25 + 14 + 5 + 5 + 8 = 57.\n- Verdent (33): Framework reading (telemetry defaults, approvals, guardrails, sandboxing). Conversation history and tool results go to Verdent's US servers and on to Azure, Bedrock or Vertex, with zero data retention stated for Vertex and Bedrock only. Event logging to log.verdent.ai has no documented opt-out. BYOA keys stay on the machine (10). Plan Mode is read-only, Agent Mode asks before destructive commands and edits outside scope, and workers are isolated by git worktree, but there is no sandbox or network control and the approval list isn't enumerated (9). No prompt-injection guidance found, while web search and fetch results enter the context (2). Usage history in the dashboard, no audit log found (5). A security page with a disclosure address and a five-day acknowledgement, SOC 2 and ISO/IEC 42001 being pursued rather than held, no security.txt and no bug bounty (7). 10+9+2+5+7 = 33.\n\n### Agent ergonomics: Sculptor +15\n\n- Sculptor (50): Harness reading. Workspaces as isolated copies, review and merge back, and built-in skills (50).\n- Verdent (35): Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35.\n\n### Maintenance \u0026 community: Sculptor +14\n\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- Verdent (61): Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61.\n\n### Schema \u0026 documentation: Verdent +10\n\n- Sculptor (45): Harness reading. A README, specs and agent docs in the repository; no API reference (45).\n- Verdent (55): Framework reading for a harness. No schema for settings or output, only mcp.json examples in the standard mcpServers shape (5). Every current docs page has a Markdown twin at the same path with .md, though no llms.txt (10). The docs say when to use Agent Mode or Plan Mode and what Plan Mode can't do, but the Agent Mode page lists the actions that need approval only as \"certain tool executions\" and \"destructive operations\" (12). Modes and BYOA agent types are enumerated, permissions are not (5). Examples on the MCP, BYOA and messaging pages, and a recovery page, with no error codes (8). Version numbers and a dated public changelog (15). The archived 1.0 docs are still served beside the current ones. 5+10+12+5+8+15 = 55.\n\n## Score by category\n\n| Category | Weight | Sculptor | Verdent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 43 | 43 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 45 | 55 | Verdent +10 |\n| Agent ergonomics | 13% (16.2 this run) | 50 | 35 | Sculptor +15 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 33 | Sculptor +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | Sculptor +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 61 | Sculptor +14 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 57 | 55 | Sculptor +2 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **53.1 · D** | **39.7 · E** | |\n\n## Facts side by side\n\n| Fact | Sculptor | Verdent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Imbue, Inc. | Verdent AI, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | OAuth or key |\n| Pricing | Free | Paid |\n| x402 | no | no |\n| Licence | MIT | Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published |\n| Read-only variant documented | no | yes |\n| llms.txt | no | no |\n| Last release | 2026-11-06 | 2026-10-29 |\n| Terms last updated | no document linked | 2026-05-25 |\n| Privacy policy last updated | no document linked | 2026-05-26 |\n| Customer content may train models | not read yet | yes |\n| Terms restrict automated access | not read yet | yes |\n| Terms restrict benchmarking | not read yet | not found in the text |\n| Terms or service can change without notice | not read yet | yes |\n| Arbitration or class-action waiver | not read yet | not found in the text |\n\n## Verdicts\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**Verdent.** A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.\n\n## Before you call either\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### Verdent\n\n1. Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode\n2. Start large changes in Plan Mode and review plan.md before switching to Agent Mode\n3. Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape\n4. Keep work under git, since rollback relies on git and there is no sandbox\n5. Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026\n\n## Questions\n\n### Which is better for AI agents, Sculptor or Verdent?\n\nSculptor scores 53.1 (D) on agent readiness against Verdent's 39.7 (E), and leads in 5 of 7 scored categories. Verdent leads on schema \u0026 documentation.\n\n### Are Sculptor and Verdent open source?\n\nSculptor is open source (MIT). No open-source release is listed for Verdent.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/sculptor-vs-verdent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/sculptor-vs-verdent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"sculptor\", \"b\": \"verdent\"}`. From a terminal: `anchor compare sculptor verdent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/sculptor.json and https://www.anchorterminal.com/api/v1/tools/verdent.json\n\n## Other comparisons with Sculptor or Verdent\n\n- [Agent Zero vs Sculptor](https://www.anchorterminal.com/compare/agent-zero-vs-sculptor.md)\n- [Agent Zero vs Verdent](https://www.anchorterminal.com/compare/agent-zero-vs-verdent.md)\n- [Aider vs Sculptor](https://www.anchorterminal.com/compare/aider-vs-sculptor.md)\n- [Aider vs Verdent](https://www.anchorterminal.com/compare/aider-vs-verdent.md)\n- [Amp vs Sculptor](https://www.anchorterminal.com/compare/amp-vs-sculptor.md)\n- [Amp vs Verdent](https://www.anchorterminal.com/compare/amp-vs-verdent.md)\n- [Antigravity CLI vs Sculptor](https://www.anchorterminal.com/compare/antigravity-cli-vs-sculptor.md)\n- [Antigravity CLI vs Verdent](https://www.anchorterminal.com/compare/antigravity-cli-vs-verdent.md)\n- [Auggie CLI vs Sculptor](https://www.anchorterminal.com/compare/auggie-vs-sculptor.md)\n- [Auggie CLI vs Verdent](https://www.anchorterminal.com/compare/auggie-vs-verdent.md)\n- [AXLR vs Sculptor](https://www.anchorterminal.com/compare/axlr-vs-sculptor.md)\n- [AXLR vs Verdent](https://www.anchorterminal.com/compare/axlr-vs-verdent.md)\n- [Claude Code vs Sculptor](https://www.anchorterminal.com/compare/claude-code-vs-sculptor.md)\n- [Claude Code vs Verdent](https://www.anchorterminal.com/compare/claude-code-vs-verdent.md)\n- [Cline vs Sculptor](https://www.anchorterminal.com/compare/cline-vs-sculptor.md)\n- [Cline vs Verdent](https://www.anchorterminal.com/compare/cline-vs-verdent.md)\n- [Conductor vs Sculptor](https://www.anchorterminal.com/compare/conductor-vs-sculptor.md)\n- [Conductor vs Verdent](https://www.anchorterminal.com/compare/conductor-vs-verdent.md)\n- [Crush vs Sculptor](https://www.anchorterminal.com/compare/crush-vs-sculptor.md)\n- [Crush vs Verdent](https://www.anchorterminal.com/compare/crush-vs-verdent.md)\n- [Cursor CLI vs Sculptor](https://www.anchorterminal.com/compare/cursor-cli-vs-sculptor.md)\n- [Cursor CLI vs Verdent](https://www.anchorterminal.com/compare/cursor-cli-vs-verdent.md)\n- [DeepSeek Harness (dsh) vs Sculptor](https://www.anchorterminal.com/compare/deepseek-harness-vs-sculptor.md)\n- [DeepSeek Harness (dsh) vs Verdent](https://www.anchorterminal.com/compare/deepseek-harness-vs-verdent.md)\n- [dsh-superagent (DeepSeek) vs Sculptor](https://www.anchorterminal.com/compare/deepseek-superagent-vs-sculptor.md)\n- [dsh-superagent (DeepSeek) vs Verdent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-verdent.md)\n- [Devin vs Sculptor](https://www.anchorterminal.com/compare/devin-vs-sculptor.md)\n- [Devin vs Verdent](https://www.anchorterminal.com/compare/devin-vs-verdent.md)\n- [Droid CLI vs Sculptor](https://www.anchorterminal.com/compare/droid-cli-vs-sculptor.md)\n- [Droid CLI vs Verdent](https://www.anchorterminal.com/compare/droid-cli-vs-verdent.md)\n- [Pi vs Sculptor](https://www.anchorterminal.com/compare/earendil-pi-vs-sculptor.md)\n- [Pi vs Verdent](https://www.anchorterminal.com/compare/earendil-pi-vs-verdent.md)\n- [Emdash vs Sculptor](https://www.anchorterminal.com/compare/emdash-vs-sculptor.md)\n- [Emdash vs Verdent](https://www.anchorterminal.com/compare/emdash-vs-verdent.md)\n- [Gemini CLI vs Sculptor](https://www.anchorterminal.com/compare/gemini-cli-vs-sculptor.md)\n- [Gemini CLI vs Verdent](https://www.anchorterminal.com/compare/gemini-cli-vs-verdent.md)\n- [GitHub Copilot CLI vs Sculptor](https://www.anchorterminal.com/compare/github-copilot-cli-vs-sculptor.md)\n- [GitHub Copilot CLI vs Verdent](https://www.anchorterminal.com/compare/github-copilot-cli-vs-verdent.md)\n- [goose vs Sculptor](https://www.anchorterminal.com/compare/goose-vs-sculptor.md)\n- [goose vs Verdent](https://www.anchorterminal.com/compare/goose-vs-verdent.md)\n- [Harness² vs Sculptor](https://www.anchorterminal.com/compare/harness2-vs-sculptor.md)\n- [Harness² vs Verdent](https://www.anchorterminal.com/compare/harness2-vs-verdent.md)\n- [HarnessRouter vs Sculptor](https://www.anchorterminal.com/compare/harnessrouter-vs-sculptor.md)\n- [HarnessRouter vs Verdent](https://www.anchorterminal.com/compare/harnessrouter-vs-verdent.md)\n- [Jules vs Sculptor](https://www.anchorterminal.com/compare/jules-vs-sculptor.md)\n- [Jules vs Verdent](https://www.anchorterminal.com/compare/jules-vs-verdent.md)\n- [Junie CLI vs Sculptor](https://www.anchorterminal.com/compare/junie-vs-sculptor.md)\n- [Junie CLI vs Verdent](https://www.anchorterminal.com/compare/junie-vs-verdent.md)\n- [Kilo Code CLI vs Sculptor](https://www.anchorterminal.com/compare/kilo-code-cli-vs-sculptor.md)\n- [Kilo Code CLI vs Verdent](https://www.anchorterminal.com/compare/kilo-code-cli-vs-verdent.md)\n- [Kimi Code CLI vs Sculptor](https://www.anchorterminal.com/compare/kimi-code-cli-vs-sculptor.md)\n- [Kimi Code CLI vs Verdent](https://www.anchorterminal.com/compare/kimi-code-cli-vs-verdent.md)\n- [Kiro CLI vs Sculptor](https://www.anchorterminal.com/compare/kiro-cli-vs-sculptor.md)\n- [Kiro CLI vs Verdent](https://www.anchorterminal.com/compare/kiro-cli-vs-verdent.md)\n- [Letta vs Sculptor](https://www.anchorterminal.com/compare/letta-vs-sculptor.md)\n- [Letta vs Verdent](https://www.anchorterminal.com/compare/letta-vs-verdent.md)\n- [mini-swe-agent vs Sculptor](https://www.anchorterminal.com/compare/mini-swe-agent-vs-sculptor.md)\n- [mini-swe-agent vs Verdent](https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.md)\n- [MiniMax Code vs Sculptor](https://www.anchorterminal.com/compare/minimax-code-vs-sculptor.md)\n- [MiniMax Code vs Verdent](https://www.anchorterminal.com/compare/minimax-code-vs-verdent.md)\n- [Mistral Vibe CLI vs Sculptor](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-sculptor.md)\n- [Mistral Vibe CLI vs Verdent](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-verdent.md)\n- [Muse Code vs Sculptor](https://www.anchorterminal.com/compare/muse-code-vs-sculptor.md)\n- [Muse Code vs Verdent](https://www.anchorterminal.com/compare/muse-code-vs-verdent.md)\n- [OpenAI Agents API vs Sculptor](https://www.anchorterminal.com/compare/openai-agents-api-vs-sculptor.md)\n- [OpenAI Agents API vs Verdent](https://www.anchorterminal.com/compare/openai-agents-api-vs-verdent.md)\n- [OpenAI Codex vs Sculptor](https://www.anchorterminal.com/compare/openai-codex-vs-sculptor.md)\n- [OpenAI Codex vs Verdent](https://www.anchorterminal.com/compare/openai-codex-vs-verdent.md)\n- [OpenCode vs Sculptor](https://www.anchorterminal.com/compare/opencode-vs-sculptor.md)\n- [OpenCode vs Verdent](https://www.anchorterminal.com/compare/opencode-vs-verdent.md)\n- [OpenHands vs Sculptor](https://www.anchorterminal.com/compare/openhands-vs-sculptor.md)\n- [OpenHands vs Verdent](https://www.anchorterminal.com/compare/openhands-vs-verdent.md)\n- [Orca vs Sculptor](https://www.anchorterminal.com/compare/orca-vs-sculptor.md)\n- [Orca vs Verdent](https://www.anchorterminal.com/compare/orca-vs-verdent.md)\n- [Paseo vs Sculptor](https://www.anchorterminal.com/compare/paseo-vs-sculptor.md)\n- [Paseo vs Verdent](https://www.anchorterminal.com/compare/paseo-vs-verdent.md)\n- [Prime Agent vs Sculptor](https://www.anchorterminal.com/compare/prime-agent-vs-sculptor.md)\n- [Prime Agent vs Verdent](https://www.anchorterminal.com/compare/prime-agent-vs-verdent.md)\n- [Qoder CLI vs Sculptor](https://www.anchorterminal.com/compare/qoder-cli-vs-sculptor.md)\n- [Qoder CLI vs Verdent](https://www.anchorterminal.com/compare/qoder-cli-vs-verdent.md)\n- [Qwen Code vs Sculptor](https://www.anchorterminal.com/compare/qwen-code-vs-sculptor.md)\n- [Qwen Code vs Verdent](https://www.anchorterminal.com/compare/qwen-code-vs-verdent.md)\n- [Mirror CLI vs Sculptor](https://www.anchorterminal.com/compare/reflection-mirror-vs-sculptor.md)\n- [Mirror CLI vs Verdent](https://www.anchorterminal.com/compare/reflection-mirror-vs-verdent.md)\n- [Rovo Dev CLI vs Sculptor](https://www.anchorterminal.com/compare/rovo-dev-cli-vs-sculptor.md)\n- [Rovo Dev CLI vs Verdent](https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent.md)\n- [Sculptor vs T3 Code](https://www.anchorterminal.com/compare/sculptor-vs-t3-code.md)\n- [Sculptor vs Traycer](https://www.anchorterminal.com/compare/sculptor-vs-traycer.md)\n- [Sculptor vs Unstoppable](https://www.anchorterminal.com/compare/sculptor-vs-unstoppable.md)\n- [Sculptor vs Vibe-Trading](https://www.anchorterminal.com/compare/sculptor-vs-vibe-trading.md)\n- [Sculptor vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/sculptor-vs-warp.md)\n- [T3 Code vs Verdent](https://www.anchorterminal.com/compare/t3-code-vs-verdent.md)\n- [Traycer vs 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