{ "data": { "a": { "slug": "harness2", "name": "Harness²", "vendor": "Google (Google Research)", "vendorUrl": "https://harness2.github.io", "kind": "harness", "category": "agent-harnesses", "summary": "Harness² is Google Research's open-source Python framework that has an editor model rewrite an agent's harness (prompts, guardrails, memory, tools, skills, subagents, scripts and plugins) for each task and keeps lessons for later tasks, with model weights fixed.", "url": "https://www.anchorterminal.com/tools/harness2", "markdownUrl": "https://www.anchorterminal.com/tools/harness2.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/harness2.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/harness2.json", "dns": "harness2.grade.anchorterminal.com", "repo": "https://github.com/google-research/harness2", "license": "Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).", "transports": [], "packages": [], "auth": "none", "authNotes": "No Harness² account or key. Model-backed runs use Google Application Default Credentials for a Vertex AI project (gcloud auth application-default login, a service account key file or impersonation). The optional Codex bridge generates its own local access key.", "pricing": "free", "pricingNotes": "Free under Apache-2.0, with nothing to buy. Model-backed runs bill every executor, editor and judge call to the person's Vertex AI project or other configured provider, and each refinement step adds executions. The local demo needs no credentials.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, docs or source (checked 2026-10-18). The software has nothing to buy.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4200, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-18" }, "docsUrl": "https://github.com/google-research/harness2/tree/main/docs", "capabilities": [ "agent.harness" ], "tags": [ "open-source", "apache-2.0", "local", "self-hosted", "free", "python", "cli", "linux" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 42, "grade": "E", "agentReady": false, "rank": 1272, "ranked": true, "rankOf": 1486, "categoryRank": 51, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 59, "maintenance": 36, "payments": 40, "reliability": 20, "schema": 51, "security": 44, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-18" }, "negative": 0, "verdict": "Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.", "bestFor": "Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.", "strengths": [ "Refining a harness needs no grader, rubric or answer key. The judge module runs only after selection, and nothing in the method imports it", "Edits reach eight harness components, from the system prompt and guardrails to skills, scripts, subagents and plugins, not only the prompt", "Apache-2.0, with upstream checkouts pinned by commit, a hash list for bundled files and each third-party runner's licence and provenance", "Rerunning a command resumes it, failed grades stay unscored rather than zero, and `--dry-run` previews task selection without model calls", "Each editor session's prompt, response, model and cost are written to an audit folder beside the run" ], "weaknesses": [ "No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI", "The CLI accepts only JobBench, LAB and WorkBuddy-Bench, with no documented way to run it on your own tasks", "Executor network access is unrestricted, Codex runs with approvals and sandbox bypassed, and executors inherit the whole shell environment", "The quick start copies `.env.example`, which the repository doesn't contain, and no .gitignore keeps a filled-in .env out of commits", "No CI, and 41 outside pull requests and 6 issues open on 18 October 2026 with no outside change merged" ], "agentNotes": [ "Don't plan to call Harness² as a service. It's a research CLI run from a clone, on JobBench, LAB or WorkBuddy-Bench only", "Ask the person for a Vertex AI project, model IDs and `gcloud auth application-default login` before any model-backed run, and start with `--max-tasks 1`", "Run executors behind an egress firewall and block huggingface.co and github.com after setup, as the docs advise, so rubrics can't be fetched", "Write .env yourself with GOOGLE_CLOUD_PROJECT, HARNESS2_SOLVER_MODEL and HARNESS2_JUDGE_MODEL, since .env.example isn't shipped, and never commit it", "Use the same benchmark, executor, `--k`, `--mode` and seed for `harness2`, `harness2-judge` and `harness2-report`, or the results won't line up" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 42 } ], "editorialScores": { "ergonomics": 59, "maintenance": 36, "payments": 40, "reliability": 20, "schema": 51, "security": 44, "transparency": 48 }, "provenanceScore": 50, "checked": { "categories": { "ergonomics": "2026-10-18", "maintenance": "2026-10-18", "payments": "2026-10-18", "reliability": "2026-10-18", "schema": "2026-10-18", "security": "2026-10-18", "transparency": "2026-10-18" }, "last": "2026-10-18", "lastMoved": "2026-10-27", "oldest": "2026-10-18", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "git clone https://github.com/google-research/harness2.git \u0026\u0026 cd harness2 \u0026\u0026 uv venv --python 3.12 .venv \u0026\u0026 source .venv/bin/activate \u0026\u0026 uv pip install -e '.[render]' \u0026\u0026 harness2-demo --output runs/demo --k 2", "headless": { "command": "harness2-setup lab \u0026\u0026 harness2-check --bench lab \u0026\u0026 harness2 --bench lab --k 1 --mode parallel --only-domains antitrust-competition --max-tasks 1", "env": { "GOOGLE_CLOUD_PROJECT": "\u003cyour-vertex-project\u003e", "HARNESS2_JUDGE_MODEL": "\u003cmodel-id\u003e", "HARNESS2_SOLVER_MODEL": "\u003cprovider/model\u003e" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/harness2" }, "area": "frameworks", "provenance": { "legalEntity": "Google LLC", "domain": "harness2.github.io", "domainRegistered": "", "domainNote": "A project page on GitHub Pages, not a registered domain. The code is in the google-research organisation on GitHub.", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-18", "notes": [ "LICENSE is Apache-2.0, and pyproject.toml and every source file name Google LLC. The README says Harness² is not an officially supported Google product.", "No terms or privacy policy govern the package or the project page. Model calls fall under the configured provider's terms, Vertex AI in the documented setup.", "The repository has no SECURITY.md, and harness2.github.io/.well-known/security.txt returns 404. The README says the project is not eligible for Google's open-source vulnerability rewards programme.", "No changelog, tags or GitHub releases. The version is 0.1.0 in pyproject.toml.", "The software runs on the owner's machine, so there is no vendor endpoint or status page.", "The project page has no robots.txt and carries a noindex, nofollow robots meta tag. It was read once as a public page." ], "score": 50 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/harness2.json", "live": { "slug": "harness2", "githubStars": 22938, "securityTxt": { "url": "https://harness2.github.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:54.53290748Z" }, "domain": { "domain": "github.io", "checkedAt": "2026-11-01T14:18:40.30630652Z" }, "github": { "repo": "google-research/harness2", "checkedAt": "2026-11-02T08:51:52.491406601Z", "stars": 21980, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T02:17:27Z", "openIssues": 36, "openPRs": 103, "issuesOpened90d": 41, "issuesClosed90d": 5, "prsMerged90d": 17, "replies": { "sampled": 25, "unanswered": 23, "medianDays": 12.1 } }, "updatedAt": "2026-11-07T15:59:54.53290748Z" } }, "answer": "Harness² scores 42 (E) on agent readiness against Verdent's 39.7 (E), and leads in 3 of 7 scored categories. Verdent leads on reliability, maintenance \u0026 community and transparency \u0026 trust.", "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": 1317, "ranked": true, "rankOf": 1486, "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": 25, "category": "maintenance", "leads": "verdent", "name": "Maintenance \u0026 community", "reasons": { "a": "0.1.0, first committed on 8 October 2026, with a README fix on 13 October (30). No tags, releases or dated changelog entries (0). 42 pull requests (41 from outside contributors, one from Dependabot) and 6 issues open on 18 October, against one pull request and no issues closed. No outside change is on main, which has three commits by the authors, and reply times couldn't be read (3 of 25). Not on PyPI and no SDK (0). No CI. Dependencies are pinned by version and upstream checkouts by commit, a ruff configuration is in pyproject.toml, and Dependabot's litellm bump of 8 October is still open (3 of 10). 36 in all.", "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": 36, "b": 61 } }, { "by": 24, "category": "ergonomics", "leads": "harness2", "name": "Agent ergonomics", "reasons": { "a": "Framework reading, adapted to a harness that a pipeline drives. Results land in run folders, not in the caller's context, and an agent reads task summaries, adopted harnesses and reflection notes from runs/ (12 of 25). `--only-domains`, `--max-tasks` (per domain), `--split-file`, `--workers` and `--dry-run` size a run before any model call (14 of 20). harness2-check tests dependencies, credentials and configuration without a model call, configuration errors name the remedy, and incomplete runs exit nonzero (14 of 20). Rerunning a command resumes it, saved configuration refuses an incompatible resume, failed grades stay unscored, and editor replies are cached by a fingerprint of their inputs (15 of 20). No model has a default, a Vertex AI project and a gcloud sign-in are needed, only three benchmarks are accepted and there's no SDK (4 of 15). 59 in all.", "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": 59, "b": 35 } }, { "by": 23, "category": "reliability", "leads": "verdent", "name": "Reliability", "reasons": { "a": "Local-package reading. Not on PyPI (the release feed for harness2 answers 404). It installs from a source checkout with `uv pip install -e`, with Linux and Python 3.12 stated (the package allows 3.13), plus Node.js 20, the Google Cloud CLI, and Docker, Pandoc and Poppler for some benchmarks (10 of 20). No CI workflow in the repository. tests/test_workflow.py holds five unit tests over the deterministic demo, which needs no credentials (5 of 25). Six issues and 42 pull requests were open on 18 October, the pull requests mostly fixes by their titles, such as the missing .env.example, report failures, seeds lost between refinement and grading, and resume. None is merged and no issue is closed. Issue text and replies couldn't be read (5 of 25). No tags or changelog (0). Version 0.1.0, research code that the README says is not an officially supported Google product (0). 20 in all.", "b": "Local-package reading, as for the other closed-source harnesses. The desktop app installs from verdent.ai with macOS 11 or later and 64-bit Windows 10 and 11 stated, and the extension from the editor marketplaces, but not from a package registry (15). No public CI or test suite, since the source isn't published (0). No public issue tracker, every task runs through Verdent's servers, and no status page was found, so there is no readable record (5). A dated changelog by version, with the end of Free Mode called out in v2.18.0, but no breaking-change sections (8). 2.18.0, generally available (15). 15+0+5+8+15 = 43." }, "scores": { "a": 20, "b": 43 } }, { "by": 20, "category": "payments", "leads": "harness2", "name": "Payments \u0026 pricing", "reasons": { "a": "No payment protocol (0). Read with the self-hosted rule, as for the other harnesses. Free under Apache-2.0 with nothing to buy (20). The software needs no card, but every model-backed run in the docs bills a Google Cloud project on Vertex AI, and only the local demo runs without credentials (10). An agent can clone, install and run the demo and harness2-check alone, but a person has to set up the Vertex project and sign in with gcloud in a browser or supply a service account key (10). 40 in all.", "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": 40, "b": 20 } }, { "by": 11, "category": "security", "leads": "harness2", "name": "Security \u0026 auth", "reasons": { "a": "Harness reading of the framework checklist, as for the other harnesses. 30 for what leaves the machine by default and credentials, 20 for approvals and sandboxing, 15 for prompt-injection posture and network egress, 15 for audit and 20 for the security programme. No telemetry found in the Harness² source, and the WorkBuddy OpenCode configs turn OpenCode's telemetry, auto-update and sharing off. Credentials are Google Application Default Credentials, and the Codex bridge binds 127.0.0.1 by default with a generated key stored with mode 0600. Against that, executors inherit the whole shell environment (the editor channel drops only five Anthropic variables), and no .gitignore keeps a filled-in .env out of commits (20). Codex runs with `--dangerously-bypass-approvals-and-sandbox`, the Claude CLI editor channel with `--dangerously-skip-permissions`, and the WorkBuddy OpenCode preset allows every tool, with only OpenCode's directory fence and WorkBuddy's containers as limits. The README and setup guide say so (4). Executor network access is unrestricted by default. The docs name the hosts to block and report a Codex rollout that fetched its rubric unprompted, but give no guidance on instructions inside task documents (5). Each editor call's prompt, system text, response, model and cost are saved to an audit folder, with trajectories and adopted harnesses under runs/ (13). No SECURITY.md or security.txt and no advisories, and the README says the project is outside Google's open-source vulnerability rewards programme (2). 44 in all.", "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": 44, "b": 33 } }, { "by": 6, "category": "transparency", "leads": "verdent", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 under Google LLC, with each bundled runner's licence and provenance file and a hash list. The WorkBuddy runners carry Tencent's custom licence, which has an EU territorial limitation (26 of 30). The docs list every host setup contacts and say credentials, generated configuration and run artefacts are not release assets. No privacy statement covers the package, and task data goes to the configured model provider (12 of 30). No deprecation policy or notices for the 0.1.0 research release (0). No telemetry found in the source, and the docs don't say either way. OpenCode's telemetry is turned off only in the WorkBuddy configs (10 of 20). 48 in all.", "b": "Proprietary, under terms from Verdent AI, Inc. that are clear on use and ownership (15). The privacy policy and security page agree that data stays in the US and that input isn't trained on without consent, and the security page lists subprocessors. The privacy policy gives no retention periods, names MiniMax as a provider the security list leaves out, and deletion is by email request (14). The credit bonus carries a promise of 15 days' notice, but Free Mode was retired on the day v2.18.0 shipped and no deprecation policy was found (6). Subprocessors and their locations are listed, and the domains the app calls are named, with event logging undescribed (12). 15+14+6+12 = 47." }, "scores": { "a": 49, "b": 55 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Google (Google Research)", "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": "Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).", "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": "2026-10-08", "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" }, { "a": "4.2k stars", "b": "none", "name": "Popularity" }, { "a": "2.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Harness² scores 42 (E) on agent readiness against Verdent's 39.7 (E), and leads in 3 of 7 scored categories. Verdent leads on reliability, maintenance \u0026 community and transparency \u0026 trust.", "question": "Which is better for AI agents, Harness² or Verdent?" }, { "answer": "Harness² is open source (Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).). No open-source release is listed for Verdent.", "question": "Are Harness² and Verdent open source?" } ], "goodFor": [ { "aheadOn": [ "Agent ergonomics, 59 against 35", "Security \u0026 auth, 44 against 33", "Payments \u0026 pricing, 40 against 20" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.", "slug": "harness2", "watchFor": "No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI" }, { "aheadOn": [ "Reliability, 43 against 20", "Maintenance \u0026 community, 61 against 36", "Transparency \u0026 trust, 55 against 49" ], "also": null, "goodFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.", "slug": "verdent", "watchFor": "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot" } ], "history": { "harness2": [ { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.4, "from": 41.6, "fromGrade": "E", "to": 42, "toGrade": "E" } ], "verdent": null }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-harness2.json", "title": "Agent Zero vs Harness²", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-harness2" }, { "json": 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"json": "https://www.anchorterminal.com/compare/paseo-vs-verdent.json", "title": "Paseo vs Verdent", "url": "https://www.anchorterminal.com/compare/paseo-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-verdent.json", "title": "Prime Agent vs Verdent", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/qoder-cli-vs-verdent.json", "title": "Qoder CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/qoder-cli-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-verdent.json", "title": "Qwen Code vs Verdent", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/reflection-mirror-vs-verdent.json", "title": "Mirror CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/reflection-mirror-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent.json", "title": "Rovo Dev CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/sculptor-vs-verdent.json", "title": "Sculptor vs Verdent", "url": "https://www.anchorterminal.com/compare/sculptor-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/t3-code-vs-verdent.json", "title": "T3 Code vs Verdent", "url": "https://www.anchorterminal.com/compare/t3-code-vs-verdent" }, { "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/verdent-vs-vibe-trading.json", "title": "Verdent vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/verdent-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/verdent-vs-warp.json", "title": "Verdent vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/verdent-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-verdent.json", "title": "Clawboo vs Verdent", "url": "https://www.anchorterminal.com/compare/clawboo-vs-verdent" }, { "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-verdent.json", "title": "Harness vs Verdent", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent" }, { "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-verdent.json", "title": "Paperclip vs Verdent", "url": "https://www.anchorterminal.com/compare/paperclip-vs-verdent" }, { "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": 23, "edge": "verdent", "harness2": 20, "key": "reliability", "name": "Reliability", "verdent": 43, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 4, "edge": "verdent", "harness2": 51, "key": "schema", "name": "Schema \u0026 documentation", "verdent": 55, "weight": 13 }, { "by": 24, "edge": "harness2", "harness2": 59, "key": "ergonomics", "name": "Agent ergonomics", "verdent": 35, "weight": 13 }, { "by": 11, "edge": "harness2", "harness2": 44, "key": "security", "name": "Security \u0026 auth", "verdent": 33, "weight": 14 }, { "by": 20, "edge": "harness2", "harness2": 40, "key": "payments", "name": "Payments \u0026 pricing", "verdent": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 25, "edge": "verdent", "harness2": 36, "key": "maintenance", "name": "Maintenance \u0026 community", "verdent": 61, "weight": 7 }, { "by": 6, "edge": "verdent", "harness2": 49, "key": "transparency", "name": "Transparency \u0026 trust", "verdent": 55, "weight": 7 } ], "summary": "Harness² scores 42 (E) on agent readiness against Verdent's 39.7 (E), and leads in 3 of 7 scored categories. Verdent leads on reliability, maintenance \u0026 community and transparency \u0026 trust. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "harness2": "Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.", "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/harness2-vs-verdent", "json": "https://www.anchorterminal.com/compare/harness2-vs-verdent.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/harness2-vs-verdent.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/harness2-vs-verdent.min.md" }, "markdown": "Harness² scores 42 (E) on agent readiness against Verdent's 39.7 (E), and leads in 3 of 7 scored categories. Verdent leads on reliability, maintenance \u0026 community and transparency \u0026 trust. Both do agent harnesses.\n\n- Harness²: grade E, 42/100, rank #1272 of 1486. Markdown https://www.anchorterminal.com/tools/harness2.md · JSON https://www.anchorterminal.com/api/v1/tools/harness2.json\n- Verdent: grade E, 39.7/100, rank #1317 of 1486. 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### Harness² (E)\n\nGood for: Researchers who want to reproduce or extend the paper's per-task harness refinement on JobBench, LAB or WorkBuddy-Bench with OpenCode or Codex on Vertex AI.\n\nAhead on:\n- Agent ergonomics, 59 against 35\n- Security \u0026 auth, 44 against 33\n- Payments \u0026 pricing, 40 against 20\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No hosted API, MCP server or tagged release. It installs from a source checkout only, and harness2 isn't on PyPI\n\n### 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- Reliability, 43 against 20\n- Maintenance \u0026 community, 61 against 36\n- Transparency \u0026 trust, 55 against 49\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### Maintenance \u0026 community: Verdent +25\n\n- Harness² (36): 0.1.0, first committed on 8 October 2026, with a README fix on 13 October (30). No tags, releases or dated changelog entries (0). 42 pull requests (41 from outside contributors, one from Dependabot) and 6 issues open on 18 October, against one pull request and no issues closed. No outside change is on main, which has three commits by the authors, and reply times couldn't be read (3 of 25). Not on PyPI and no SDK (0). No CI. Dependencies are pinned by version and upstream checkouts by commit, a ruff configuration is in pyproject.toml, and Dependabot's litellm bump of 8 October is still open (3 of 10). 36 in all.\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### Agent ergonomics: Harness² +24\n\n- Harness² (59): Framework reading, adapted to a harness that a pipeline drives. Results land in run folders, not in the caller's context, and an agent reads task summaries, adopted harnesses and reflection notes from runs/ (12 of 25). `--only-domains`, `--max-tasks` (per domain), `--split-file`, `--workers` and `--dry-run` size a run before any model call (14 of 20). harness2-check tests dependencies, credentials and configuration without a model call, configuration errors name the remedy, and incomplete runs exit nonzero (14 of 20). Rerunning a command resumes it, saved configuration refuses an incompatible resume, failed grades stay unscored, and editor replies are cached by a fingerprint of their inputs (15 of 20). No model has a default, a Vertex AI project and a gcloud sign-in are needed, only three benchmarks are accepted and there's no SDK (4 of 15). 59 in all.\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### Reliability: Verdent +23\n\n- Harness² (20): Local-package reading. Not on PyPI (the release feed for harness2 answers 404). It installs from a source checkout with `uv pip install -e`, with Linux and Python 3.12 stated (the package allows 3.13), plus Node.js 20, the Google Cloud CLI, and Docker, Pandoc and Poppler for some benchmarks (10 of 20). No CI workflow in the repository. tests/test_workflow.py holds five unit tests over the deterministic demo, which needs no credentials (5 of 25). Six issues and 42 pull requests were open on 18 October, the pull requests mostly fixes by their titles, such as the missing .env.example, report failures, seeds lost between refinement and grading, and resume. None is merged and no issue is closed. Issue text and replies couldn't be read (5 of 25). No tags or changelog (0). Version 0.1.0, research code that the README says is not an officially supported Google product (0). 20 in all.\n- Verdent (43): Local-package reading, as for the other closed-source harnesses. The desktop app installs from verdent.ai with macOS 11 or later and 64-bit Windows 10 and 11 stated, and the extension from the editor marketplaces, but not from a package registry (15). No public CI or test suite, since the source isn't published (0). No public issue tracker, every task runs through Verdent's servers, and no status page was found, so there is no readable record (5). A dated changelog by version, with the end of Free Mode called out in v2.18.0, but no breaking-change sections (8). 2.18.0, generally available (15). 15+0+5+8+15 = 43.\n\n### Payments \u0026 pricing: Harness² +20\n\n- Harness² (40): No payment protocol (0). Read with the self-hosted rule, as for the other harnesses. Free under Apache-2.0 with nothing to buy (20). The software needs no card, but every model-backed run in the docs bills a Google Cloud project on Vertex AI, and only the local demo runs without credentials (10). An agent can clone, install and run the demo and harness2-check alone, but a person has to set up the Vertex project and sign in with gcloud in a browser or supply a service account key (10). 40 in all.\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: Harness² +11\n\n- Harness² (44): Harness reading of the framework checklist, as for the other harnesses. 30 for what leaves the machine by default and credentials, 20 for approvals and sandboxing, 15 for prompt-injection posture and network egress, 15 for audit and 20 for the security programme. No telemetry found in the Harness² source, and the WorkBuddy OpenCode configs turn OpenCode's telemetry, auto-update and sharing off. Credentials are Google Application Default Credentials, and the Codex bridge binds 127.0.0.1 by default with a generated key stored with mode 0600. Against that, executors inherit the whole shell environment (the editor channel drops only five Anthropic variables), and no .gitignore keeps a filled-in .env out of commits (20). Codex runs with `--dangerously-bypass-approvals-and-sandbox`, the Claude CLI editor channel with `--dangerously-skip-permissions`, and the WorkBuddy OpenCode preset allows every tool, with only OpenCode's directory fence and WorkBuddy's containers as limits. The README and setup guide say so (4). Executor network access is unrestricted by default. The docs name the hosts to block and report a Codex rollout that fetched its rubric unprompted, but give no guidance on instructions inside task documents (5). Each editor call's prompt, system text, response, model and cost are saved to an audit folder, with trajectories and adopted harnesses under runs/ (13). No SECURITY.md or security.txt and no advisories, and the README says the project is outside Google's open-source vulnerability rewards programme (2). 44 in all.\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### Transparency \u0026 trust: Verdent +6\n\n- Harness² (49): Apache-2.0 under Google LLC, with each bundled runner's licence and provenance file and a hash list. The WorkBuddy runners carry Tencent's custom licence, which has an EU territorial limitation (26 of 30). The docs list every host setup contacts and say credentials, generated configuration and run artefacts are not release assets. No privacy statement covers the package, and task data goes to the configured model provider (12 of 30). No deprecation policy or notices for the 0.1.0 research release (0). No telemetry found in the source, and the docs don't say either way. OpenCode's telemetry is turned off only in the WorkBuddy configs (10 of 20). 48 in all.\n- Verdent (55): Proprietary, under terms from Verdent AI, Inc. that are clear on use and ownership (15). The privacy policy and security page agree that data stays in the US and that input isn't trained on without consent, and the security page lists subprocessors. The privacy policy gives no retention periods, names MiniMax as a provider the security list leaves out, and deletion is by email request (14). The credit bonus carries a promise of 15 days' notice, but Free Mode was retired on the day v2.18.0 shipped and no deprecation policy was found (6). Subprocessors and their locations are listed, and the domains the app calls are named, with event logging undescribed (12). 15+14+6+12 = 47.\n\n## Score by category\n\n| Category | Weight | Harness² | Verdent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 20 | 43 | Verdent +23 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 51 | 55 | Verdent +4 |\n| Agent ergonomics | 13% (16.2 this run) | 59 | 35 | Harness² +24 |\n| Security \u0026 auth | 14% (17.5 this run) | 44 | 33 | Harness² +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 20 | Harness² +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 36 | 61 | Verdent +25 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 49 | 55 | Verdent +6 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **42 · E** | **39.7 · E** | |\n\n## Facts side by side\n\n| Fact | Harness² | Verdent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Google (Google Research) | 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 | Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation). | 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 | 2026-10-08 | 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| Popularity | 4.2k stars | none |\n| Agent reviews | 2.5/5 (4) | none |\n\n## How the scores have moved\n\n### Harness²\n\n- +0.4 on 27 October 2026: checklist\n\n### Verdent\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Harness².** Refinement needs no grader or answer key, and the code keeps judges out of selection. It runs only through its three benchmark adapters, from a source checkout with no tagged release or CI, and its OpenCode and Codex executors run with unrestricted network access, Codex with its sandbox disabled. The benchmark gains are the authors' claims.\n\n**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### Harness²\n\n1. Don't plan to call Harness² as a service. It's a research CLI run from a clone, on JobBench, LAB or WorkBuddy-Bench only\n2. Ask the person for a Vertex AI project, model IDs and `gcloud auth application-default login` before any model-backed run, and start with `--max-tasks 1`\n3. Run executors behind an egress firewall and block huggingface.co and github.com after setup, as the docs advise, so rubrics can't be fetched\n4. Write .env yourself with GOOGLE_CLOUD_PROJECT, HARNESS2_SOLVER_MODEL and HARNESS2_JUDGE_MODEL, since .env.example isn't shipped, and never commit it\n5. Use the same benchmark, executor, `--k`, `--mode` and seed for `harness2`, `harness2-judge` and `harness2-report`, or the results won't line up\n\n### 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, Harness² or Verdent?\n\nHarness² scores 42 (E) on agent readiness against Verdent's 39.7 (E), and leads in 3 of 7 scored categories. Verdent leads on reliability, maintenance \u0026 community and transparency \u0026 trust.\n\n### Are Harness² and Verdent open source?\n\nHarness² is open source (Apache-2.0. Bundled benchmark runners keep their upstream licences (Apache-2.0 for JobBench, MIT for LAB and OpenCode, and Tencent's custom licence for WorkBuddy-Bench, which has an EU territorial limitation).). No open-source release is listed for Verdent.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/harness2-vs-verdent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/harness2-vs-verdent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"harness2\", \"b\": \"verdent\"}`. From a terminal: `anchor compare harness2 verdent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/harness2.json and https://www.anchorterminal.com/api/v1/tools/verdent.json\n\n## Other comparisons with Harness² or Verdent\n\n- [Agent Zero vs Harness²](https://www.anchorterminal.com/compare/agent-zero-vs-harness2.md)\n- [Agent Zero vs Verdent](https://www.anchorterminal.com/compare/agent-zero-vs-verdent.md)\n- [Aider vs Harness²](https://www.anchorterminal.com/compare/aider-vs-harness2.md)\n- [Aider vs Verdent](https://www.anchorterminal.com/compare/aider-vs-verdent.md)\n- [Amp vs Harness²](https://www.anchorterminal.com/compare/amp-vs-harness2.md)\n- [Amp vs Verdent](https://www.anchorterminal.com/compare/amp-vs-verdent.md)\n- [Antigravity CLI vs Harness²](https://www.anchorterminal.com/compare/antigravity-cli-vs-harness2.md)\n- [Antigravity CLI vs Verdent](https://www.anchorterminal.com/compare/antigravity-cli-vs-verdent.md)\n- [Auggie CLI vs Harness²](https://www.anchorterminal.com/compare/auggie-vs-harness2.md)\n- [Auggie CLI vs Verdent](https://www.anchorterminal.com/compare/auggie-vs-verdent.md)\n- [AXLR vs Harness²](https://www.anchorterminal.com/compare/axlr-vs-harness2.md)\n- [AXLR vs Verdent](https://www.anchorterminal.com/compare/axlr-vs-verdent.md)\n- [Claude Code vs Harness²](https://www.anchorterminal.com/compare/claude-code-vs-harness2.md)\n- [Claude Code vs Verdent](https://www.anchorterminal.com/compare/claude-code-vs-verdent.md)\n- [Cline vs Harness²](https://www.anchorterminal.com/compare/cline-vs-harness2.md)\n- [Cline vs Verdent](https://www.anchorterminal.com/compare/cline-vs-verdent.md)\n- [Conductor vs Harness²](https://www.anchorterminal.com/compare/conductor-vs-harness2.md)\n- [Conductor vs Verdent](https://www.anchorterminal.com/compare/conductor-vs-verdent.md)\n- [Crush vs Harness²](https://www.anchorterminal.com/compare/crush-vs-harness2.md)\n- [Crush vs Verdent](https://www.anchorterminal.com/compare/crush-vs-verdent.md)\n- [Cursor CLI vs Harness²](https://www.anchorterminal.com/compare/cursor-cli-vs-harness2.md)\n- [Cursor CLI vs Verdent](https://www.anchorterminal.com/compare/cursor-cli-vs-verdent.md)\n- [DeepSeek Harness (dsh) vs Harness²](https://www.anchorterminal.com/compare/deepseek-harness-vs-harness2.md)\n- [DeepSeek Harness (dsh) vs Verdent](https://www.anchorterminal.com/compare/deepseek-harness-vs-verdent.md)\n- [dsh-superagent (DeepSeek) vs Harness²](https://www.anchorterminal.com/compare/deepseek-superagent-vs-harness2.md)\n- [dsh-superagent (DeepSeek) vs Verdent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-verdent.md)\n- [Devin vs Harness²](https://www.anchorterminal.com/compare/devin-vs-harness2.md)\n- [Devin vs Verdent](https://www.anchorterminal.com/compare/devin-vs-verdent.md)\n- [Droid CLI vs Harness²](https://www.anchorterminal.com/compare/droid-cli-vs-harness2.md)\n- [Droid CLI vs Verdent](https://www.anchorterminal.com/compare/droid-cli-vs-verdent.md)\n- [Pi vs Harness²](https://www.anchorterminal.com/compare/earendil-pi-vs-harness2.md)\n- [Pi vs Verdent](https://www.anchorterminal.com/compare/earendil-pi-vs-verdent.md)\n- [Emdash vs Harness²](https://www.anchorterminal.com/compare/emdash-vs-harness2.md)\n- [Emdash vs Verdent](https://www.anchorterminal.com/compare/emdash-vs-verdent.md)\n- [Gemini CLI vs Harness²](https://www.anchorterminal.com/compare/gemini-cli-vs-harness2.md)\n- [Gemini CLI vs Verdent](https://www.anchorterminal.com/compare/gemini-cli-vs-verdent.md)\n- [GitHub Copilot CLI vs Harness²](https://www.anchorterminal.com/compare/github-copilot-cli-vs-harness2.md)\n- [GitHub Copilot CLI vs Verdent](https://www.anchorterminal.com/compare/github-copilot-cli-vs-verdent.md)\n- [goose vs Harness²](https://www.anchorterminal.com/compare/goose-vs-harness2.md)\n- [goose vs Verdent](https://www.anchorterminal.com/compare/goose-vs-verdent.md)\n- [Harness² vs 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vs Verdent](https://www.anchorterminal.com/compare/sculptor-vs-verdent.md)\n- [T3 Code vs Verdent](https://www.anchorterminal.com/compare/t3-code-vs-verdent.md)\n- [Traycer vs Verdent](https://www.anchorterminal.com/compare/traycer-vs-verdent.md)\n- [Verdent vs Vibe-Trading](https://www.anchorterminal.com/compare/verdent-vs-vibe-trading.md)\n- [Verdent vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/verdent-vs-warp.md)\n- [Clawboo vs Verdent](https://www.anchorterminal.com/compare/clawboo-vs-verdent.md)\n- [CLI Manager vs Verdent](https://www.anchorterminal.com/compare/cli-manager-vs-verdent.md)\n- [Harness vs Verdent](https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent.md)\n- [OpenMausBot vs Verdent](https://www.anchorterminal.com/compare/openmausbot-vs-verdent.md)\n- [Paperclip vs Verdent](https://www.anchorterminal.com/compare/paperclip-vs-verdent.md)\n- [Parallax vs Verdent](https://www.anchorterminal.com/compare/parallax-agents-vs-verdent.md)\n- [Unstoppable vs Verdent](https://www.anchorterminal.com/compare/unstoppable-vs-verdent.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Harness² vs Verdent", "url": 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