{ "data": { "a": { "slug": "framefields", "name": "framefields", "vendor": "Gatewai", "vendorUrl": "https://framefields.dev", "kind": "sdk", "category": "video-generation", "summary": "framefields is an open-source TypeScript library that renders motion graphics, text, charts, 3D and audio to MP4 on the GPU through WebGPU in Node.js. Coding agents write the composition as code, with skills for Claude Code and other agents.", "url": "https://www.anchorterminal.com/tools/framefields", "markdownUrl": "https://www.anchorterminal.com/tools/framefields.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/framefields.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/framefields.json", "repo": "https://github.com/gatewai-dev/framefields", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "framefields" } ], "auth": "none", "authNotes": "No account or key for the npm library, which runs on the owner's machine. The optional self-hosted renderer worker takes jobs over HTTP with one bearer key (`RENDERER_API_KEY`), a required repository allowlist (`FF_REPO_ALLOWLIST`) and a git token for private repositories, all set by the owner.", "pricing": "free", "pricingNotes": "Free under Apache-2.0, with nothing to buy from Gatewai. The owner pays for any GPU host that runs the self-hosted renderer worker (a Docker container on an NVIDIA host, a RunPod pod or RunPod serverless).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, the llms.txt files or the repository source (checked 2026-10-20). There is nothing to pay Gatewai for.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 445, "npmWeekly": 1102, "pypiWeekly": null, "asOf": "2026-10-20" }, "docsUrl": "https://framefields.dev/docs/", "llmsTxt": "https://framefields.dev/llms.txt", "capabilities": [ "video.generate", "video.render", "video.edit", "video.audio" ], "tags": [ "open-source", "apache-2.0", "typescript", "local", "self-hosted", "free", "no-card", "beta", "new" ], "lastRelease": "2026-10-19", "graded": true, "anchor": { "graded": true, "score": 61.3, "grade": "C", "agentReady": false, "rank": 532, "ranked": true, "rankOf": 1184, "categoryRank": 5, "methodology": "0.5", "run": "2026-10-01", "scores": { "ergonomics": 74, "maintenance": 89, "payments": 60, "reliability": 61, "schema": 77, "security": 45, "transparency": 39 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-20" }, "negative": -2, "negativeNotes": [ "20 October 2026. The install page says `/plugin install framefields` comes from Anthropic's official plugin directory, which Claude Code adds for you. The directory's public marketplace file (last commit 19 October 2026) lists 315 plugins and no framefields entry, so the command as documented would not find the plugin. It may be a submission still pending; the deduction lapses if the entry appears. Sources: https://framefields.dev/docs/agents/install/ and https://raw.githubusercontent.com/anthropics/claude-plugins-official/main/.claude-plugin/marketplace.json (-2)" ], "verdict": "A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It is fifteen days old, called beta, and its Claude Code install command names a plugin directory entry that was not found on 20 October 2026.", "bestFor": "Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.", "strengths": [ "Apache-2.0 library with nothing to buy and no account", "`comp.lint()` and `renderVideo({ qa })` return documented codes with severities and fixes", "llms.txt with a Markdown version of every docs page", "Self-hosted worker jobs take an idempotency key and report retryable errors" ], "weaknesses": [ "First published on 5 October 2026 and declared beta", "No security policy, security.txt or npm provenance attestations found", "Public CI runs the worker's tests, not the library's Vitest suite", "Needs Node.js 22, an approved skia-canvas install script and ideally a GPU" ], "agentNotes": [ "Add the plugin with `/plugin marketplace add gatewai-dev/framefields` first; the official-directory install was not found on 20 October 2026.", "Approve only the skia-canvas install script, as the getting-started page shows, or imports fail with a missing `skia.node`.", "Check with `comp.lint()` and `renderFrameGrid` before a full `renderVideo` encode.", "Call `process.exit()` after rendering; native GPU threads keep the script alive.", "Preload vision models into `FRAMEFIELDS_MODELS_DIR` for offline or CI renders." ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.5", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.3 } ], "editorialScores": { "ergonomics": 74, "maintenance": 89, "payments": 60, "reliability": 61, "schema": 77, "security": 45, "transparency": 51 }, "provenanceScore": 27 }, "connect": { "install": "npm install framefields", "claudeCode": "/plugin marketplace add gatewai-dev/framefields\n/plugin install framefields@framefields-plugins" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/framefields" }, "area": "content", "provenance": { "legalEntity": "", "domain": "framefields.dev", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/LICENCE", "privacy": "", "statusPage": "", "changelog": "https://github.com/gatewai-dev/framefields/blob/main/packages/framefields/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-20", "notes": [ "The site footer says framefields is made by Gatewai; the npm maintainer is gatewai.studio. No legal entity was found, and gatewai.studio is a page drawn by script.", "framefields.dev/.well-known/security.txt answers 404, and the repository has no SECURITY.md.", "No terms or privacy policy on framefields.dev; the Apache-2.0 LICENCE stands in for terms for software with nothing hosted." ], "score": 27 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/framefields.json", "live": { "slug": "framefields", "pages": [ { "url": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/packages/framefields/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-21T00:56:15.61703243Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1473bd89890a" }, { "url": "https://raw.githubusercontent.com/gatewai-dev/framefields/main/LICENCE", "kind": "terms", "status": 200, "checkedAt": "2026-10-21T00:56:13.546768723Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "839fbbcddc72" } ], "updatedAt": "2026-10-21T00:56:15.61703243Z" } }, "answer": "framefields and Google Veo score within a point of each other on agent readiness, 61.3 (C) and 60.4 (C). Google Veo leads on security \u0026 auth and transparency \u0026 trust.", "b": { "slug": "google-veo", "name": "Google Veo", "vendor": "Google", "vendorUrl": "https://ai.google.dev", "kind": "model", "category": "video-generation", "summary": "Google's Veo video models through the Gemini API (predictLongRunning) and Vertex AI.", "url": "https://www.anchorterminal.com/tools/google-veo", "markdownUrl": "https://www.anchorterminal.com/tools/google-veo.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-veo.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-veo.json", "repo": "https://github.com/googleapis/python-genai", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://generativelanguage.googleapis.com/v1beta", "packages": [ { "registry": "pypi", "name": "google-genai" }, { "registry": "npm", "name": "@google/genai" } ], "auth": "api-key", "authNotes": "`x-goog-api-key` header with a key from AI Studio on the Gemini API. Vertex AI uses Google Cloud OAuth (service account or gcloud token) instead.", "pricing": "usage", "pricingNotes": "No free tier for Veo. Billed per second of video with audio. Veo 3.1 $0.40 a second at 720p and 1080p, $0.60 at 4K. Veo 3.1 Fast $0.10 at 720p, $0.12 at 1080p, $0.30 at 4K. Veo 3.1 Lite $0.05 at 720p, $0.08 at 1080p. You're charged only when a video is generated (https://ai.google.dev/gemini-api/docs/pricing).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Needs billing on a Google Cloud project (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 4000, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://ai.google.dev/gemini-api/docs/veo", "rateLimitsUrl": "https://ai.google.dev/gemini-api/docs/rate-limits", "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt", "capabilities": [ "video.generate", "video.image-to-video", "video.audio", "video.extend" ], "tags": [ "official", "hosted", "closed-source", "card-required", "llms-txt", "async-jobs", "python", "typescript", "watermark" ], "lastRelease": "2026-09-22", "graded": true, "anchor": { "graded": true, "score": 60.4, "grade": "C", "agentReady": false, "rank": 580, "ranked": true, "rankOf": 1184, "categoryRank": 8, "methodology": "0.5", "run": "2026-10-01", "scores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 45, "schema": 71, "security": 78, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast. All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22.", "bestFor": "Teams already on Google Cloud who want sound with every clip and a choice between cheap (Lite) and top quality (Veo 3.1, 4K).", "strengths": [ "Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast", "Lite at $0.05 a second for 720p with audio", "Keys restrictable to the Gemini API and by IP or app, with OAuth and IAM on Vertex AI", "Paid-tier prompts and outputs aren't used to improve Google's products", "Deprecations page dates every Veo shutdown and names the replacement" ], "weaknesses": [ "All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22", "Veo 2.0 and 3.0 already shut down on 2026-06-30", "No free tier and no per-model rate limits published", "Clips are 4, 6 or 8 seconds per call, and 1080p and 4K need 8", "The Veo endpoint isn't covered by Google's SLA" ], "agentNotes": [ "Move off `veo-3.1-*-preview` before 2026-10-22. Use `gemini-omni-1.1-flash` on the Gemini API or the GA Veo IDs on Vertex AI", "Call `predictLongRunning`, then poll the operation name about every 10 seconds until `done` is true. Jobs take 11 seconds to 6 minutes", "Download the video within 2 days. The server deletes it after that", "Set `durationSeconds` to 8 for 1080p, 4K or reference images. Shorter clips aren't supported there", "In the EU, UK, Switzerland and MENA image-to-video only accepts `personGeneration` set to `allow_adult`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.5", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.4 } ], "editorialScores": { "ergonomics": 64, "maintenance": 77, "payments": 20, "reliability": 45, "schema": 71, "security": 78, "transparency": 60 }, "provenanceScore": 89 }, "connect": { "install": "pip install google-genai # or: npm i @google/genai", "http": "curl -X POST \"https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-lite-generate-preview:predictLongRunning\" \\\n -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"instances\":[{\"prompt\":\"a paper boat drifting down a rainy street\"}]}'" }, "letme": { "capability": "https://letme.dev/video.generate", "tool": "https://letme.dev/google-veo" }, "sameCompany": [ "gemini-api", "gemini-embedding", "vertex-ai-tuning", "google-model-armor", "google-imagen", "google-lyria", "google-speech-to-text", "gemini-live", "google-adk", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-drive-api", "gemini-enterprise", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "content", "unitPrices": [ { "item": "Veo 3.1 720p or 1080p", "unit": "video-second", "usd": 0.4, "note": "with audio" }, { "item": "Veo 3.1 4K", "unit": "video-second", "usd": 0.6, "note": "with audio" }, { "item": "Veo 3.1 Fast 720p", "unit": "video-second", "usd": 0.1, "note": "with audio" }, { "item": "Veo 3.1 Fast 1080p", "unit": "video-second", "usd": 0.12, "note": "with audio" }, { "item": "Veo 3.1 Fast 4K", "unit": "video-second", "usd": 0.3, "note": "with audio" }, { "item": "Veo 3.1 Lite 720p", "unit": "video-second", "usd": 0.05, "note": "with audio" }, { "item": "Veo 3.1 Lite 1080p", "unit": "video-second", "usd": 0.08, "note": "with audio" } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "endpointOnVendorDomain": true, "terms": "https://ai.google.dev/gemini-api/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://aistudio.google.com/status", "changelog": "https://ai.google.dev/gemini-api/docs/changelog", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997", "Vertex AI is now called Gemini Enterprise Agent Platform in Google's docs" ], "score": 89 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/google-veo.json", "live": { "slug": "google-veo", "probe": { "target": "https://generativelanguage.googleapis.com/v1beta", "method": "get", "lastAt": "2026-10-21T02:18:54.904623404Z", "lastOk": true, "lastStatus": 404, "lastMs": 11, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 12, "p95ms24h": 28, "samples24h": 252, "samples30d": 5220, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 25, "ok": 25 } ] }, "versions": [ { "registry": "github", "name": "googleapis/python-genai", "version": "v2.31.0", "released": "2026-10-14", "seenAt": "2026-10-20T04:53:49.084785026Z" }, { "registry": "npm", "name": "@google/genai", "version": "2.30.0", "seenAt": "2026-10-20T04:53:48.850602753Z" }, { "registry": "pypi", "name": "google-genai", "version": "2.31.0", "released": "2026-10-14", "seenAt": "2026-10-20T04:53:48.742924977Z" } ], "githubStars": 4033, "npmWeekly": 14706880, "pypiWeekly": 36551532, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-10-20T15:57:28.645255882Z" }, "llmsTxt": { "url": "https://ai.google.dev/gemini-api/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-20T14:30:54.816491591Z" }, "domain": { "domain": "google.com", "registered": "1997-09-15", "source": "https://rdap.verisign.com/com/v1/domain/google.com", "checkedAt": "2026-10-18T13:31:32.666265227Z" }, "github": { "repo": "googleapis/python-genai", "checkedAt": "2026-10-19T06:14:32.979062931Z", "stars": 4032, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-19T06:04:26Z", "openIssues": 232, "openPRs": 133, "issuesOpened90d": 72, "issuesClosed90d": 30, "prsMerged90d": 202, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-16T22:11:41Z" }, "replies": { "sampled": 25, "unanswered": 18, "medianDays": 10.2 } }, "updatedAt": "2026-10-21T02:18:54.904623404Z" } }, "facts": [ { "a": "SDK + MCP", "b": "Model API", "name": "Kind" }, { "a": "Gatewai", "b": "Google", "name": "Vendor" }, { "a": "no (local only)", "b": "https://generativelanguage.googleapis.com/v1beta", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0 (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-19", "b": "2026-09-22", "name": "Last release" }, { "a": "", "b": "2026-04-28", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "", "b": "yes", "name": "Customer content may train models" }, { "a": "", "b": "yes", "name": "Terms restrict automated access" }, { "a": "", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "445 stars, 1.1k npm/wk", "b": "4k stars", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "framefields and Google Veo score within a point of each other on agent readiness, 61.3 (C) and 60.4 (C). Google Veo leads on security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, framefields or Google Veo?" }, { "answer": "No hosted endpoint is listed for framefields. Google Veo has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta.", "question": "Can an agent call framefields and Google Veo without installing anything?" }, { "answer": "framefields is open source (Apache-2.0). No open-source release is listed for Google Veo.", "question": "Are framefields and Google Veo open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 61 against 45", "Schema \u0026 documentation, 77 against 71", "Agent ergonomics, 74 against 64", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 89 against 77" ], "also": [ "No key needed to call it", "Free to start without a card", "Open source", "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5" ], "goodFor": "Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.", "slug": "framefields", "watchFor": "First published on 5 October 2026 and declared beta" }, { "aheadOn": [ "Security \u0026 auth, 78 against 45", "Transparency \u0026 trust, 75 against 39" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Teams already on Google Cloud who want sound with every clip and a choice between cheap (Lite) and top quality (Veo 3.1, 4K).", "slug": "google-veo", "watchFor": "All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22" } ], "job": { "capability": "video.generate", "name": "Video generation" }, "others": [ { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields.json", "title": "Alibaba Wan (Model Studio) vs framefields", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields" }, { "json": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.json", "title": "Alibaba Wan (Model Studio) vs Google Veo", "url": "https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-framefields.json", "title": "fal video models vs framefields", "url": "https://www.anchorterminal.com/compare/fal-video-vs-framefields" }, { "json": "https://www.anchorterminal.com/compare/fal-video-vs-google-veo.json", "title": "fal video models vs Google Veo", "url": "https://www.anchorterminal.com/compare/fal-video-vs-google-veo" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-higgsfield.json", "title": "framefields vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/framefields-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-hyperframes.json", "title": "framefields vs HyperFrames", "url": "https://www.anchorterminal.com/compare/framefields-vs-hyperframes" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-kling.json", "title": "framefields vs Kling AI API", "url": "https://www.anchorterminal.com/compare/framefields-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-luma.json", "title": "framefields vs Luma AI API", "url": "https://www.anchorterminal.com/compare/framefields-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-minimax-video.json", "title": "framefields vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/framefields-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-openai-sora.json", "title": "framefields vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/framefields-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-pika.json", "title": "framefields vs Pika API", "url": "https://www.anchorterminal.com/compare/framefields-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-pixverse.json", "title": "framefields vs PixVerse API", "url": "https://www.anchorterminal.com/compare/framefields-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp.json", "title": "framefields vs Popcraft MCP", "url": "https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-replicate-video.json", "title": "framefields vs Replicate video models", "url": "https://www.anchorterminal.com/compare/framefields-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-runway.json", "title": "framefields vs Runway API", "url": "https://www.anchorterminal.com/compare/framefields-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark.json", "title": "framefields vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/framefields-vs-vidu.json", "title": "framefields vs Vidu API", "url": "https://www.anchorterminal.com/compare/framefields-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.json", "title": "Google Veo vs Higgsfield API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-higgsfield" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-hyperframes.json", "title": "Google Veo vs HyperFrames", "url": "https://www.anchorterminal.com/compare/google-veo-vs-hyperframes" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-kling.json", "title": "Google Veo vs Kling AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-kling" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-luma.json", "title": "Google Veo vs Luma AI API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-luma" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.json", "title": "Google Veo vs MiniMax Video API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-minimax-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.json", "title": "Google Veo vs OpenAI Sora API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-openai-sora" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pika.json", "title": "Google Veo vs Pika API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pika" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse.json", "title": "Google Veo vs PixVerse API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-pixverse" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp.json", "title": "Google Veo vs Popcraft MCP", "url": "https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.json", "title": "Google Veo vs Replicate video models", "url": "https://www.anchorterminal.com/compare/google-veo-vs-replicate-video" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-runway.json", "title": "Google Veo vs Runway API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-runway" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark.json", "title": "Google Veo vs Seedance on BytePlus ModelArk", "url": "https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark" }, { "json": "https://www.anchorterminal.com/compare/google-veo-vs-vidu.json", "title": "Google Veo vs Vidu API", "url": "https://www.anchorterminal.com/compare/google-veo-vs-vidu" }, { "json": "https://www.anchorterminal.com/compare/clueso-video-vs-framefields.json", "title": "Clueso vs framefields", "url": "https://www.anchorterminal.com/compare/clueso-video-vs-framefields" } ], "scores": [ { "by": 16, "edge": "framefields", "framefields": 61, "google-veo": 45, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 6, "edge": "framefields", "framefields": 77, "google-veo": 71, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 10, "edge": "framefields", "framefields": 74, "google-veo": 64, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 33, "edge": "google-veo", "framefields": 45, "google-veo": 78, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 40, "edge": "framefields", "framefields": 60, "google-veo": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 12, "edge": "framefields", "framefields": 89, "google-veo": 77, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 36, "edge": "google-veo", "framefields": 39, "google-veo": 75, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "framefields and Google Veo score within a point of each other on agent readiness, 61.3 (C) and 60.4 (C). Google Veo leads on security \u0026 auth and transparency \u0026 trust. Both do video generation.", "tutorials": [], "verdicts": { "framefields": "A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It is fifteen days old, called beta, and its Claude Code install command names a plugin directory entry that was not found on 20 October 2026.", "google-veo": "Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast. All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/framefields-vs-google-veo", "json": "https://www.anchorterminal.com/compare/framefields-vs-google-veo.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/framefields-vs-google-veo.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/framefields-vs-google-veo.min.md" }, "markdown": "framefields and Google Veo score within a point of each other on agent readiness, 61.3 (C) and 60.4 (C). Google Veo leads on security \u0026 auth and transparency \u0026 trust. Both do video generation.\n\n- framefields: grade C, 61.3/100, rank #532 of 1184. Markdown https://www.anchorterminal.com/tools/framefields.md · JSON https://www.anchorterminal.com/api/v1/tools/framefields.json\n- Google Veo: grade C, 60.4/100, rank #580 of 1184. Markdown https://www.anchorterminal.com/tools/google-veo.md · JSON https://www.anchorterminal.com/api/v1/tools/google-veo.json\n- Best video generation for AI agents: https://www.anchorterminal.com/best/video-generation/index.md\n- All 148 video comparisons: https://www.anchorterminal.com/compare/video-generation/index.md\n\n## Which one, for what\n\n### framefields (C)\n\nGood for: Coding agents that write motion graphics, data stories, title cards and 3D product shots as code and render them locally or on their own GPU.\n\nAhead on:\n- Reliability, 61 against 45\n- Schema \u0026 documentation, 77 against 71\n- Agent ergonomics, 74 against 64\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 89 against 77\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5\n\nWatch for: First published on 5 October 2026 and declared beta\n\n### Google Veo (C)\n\nGood for: Teams already on Google Cloud who want sound with every clip and a choice between cheap (Lite) and top quality (Veo 3.1, 4K).\n\nAhead on:\n- Security \u0026 auth, 78 against 45\n- Transparency \u0026 trust, 75 against 39\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22\n\n\n## Score by category\n\n| Category | Weight | framefields | Google Veo | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 61 | 45 | framefields +16 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 77 | 71 | framefields +6 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 64 | framefields +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 78 | Google Veo +33 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | framefields +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 89 | 77 | framefields +12 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 39 | 75 | Google Veo +36 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **61.3 · C** | **60.4 · C** | |\n\n## Facts side by side\n\n| Fact | framefields | Google Veo |\n| --- | --- | --- |\n| Kind | SDK + MCP | Model API |\n| Vendor | Gatewai | Google |\n| Hosted endpoint | no (local only) | `https://generativelanguage.googleapis.com/v1beta` |\n| Transports | | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-19 | 2026-09-22 |\n| Terms last updated | | 2026-04-28 |\n| Privacy policy last updated | no document linked | 2026-10-01 |\n| Customer content may train models | | yes |\n| Terms restrict automated access | | yes |\n| Terms restrict benchmarking | | yes |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | not found in the text |\n| Popularity | 445 stars, 1.1k npm/wk | 4k stars |\n| Agent reviews | 3.5/5 (4) | 2.5/5 (2) |\n\n## Verdicts\n\n**framefields.** A free Apache-2.0 library that renders video from TypeScript on the GPU, with lint and QA codes an agent can act on. It is fifteen days old, called beta, and its Claude Code install command names a plugin directory entry that was not found on 20 October 2026.\n\n**Google Veo.** Audio on every Veo 3.1 clip, up to 4K on Veo 3.1 and Fast. All three Veo 3.1 previews shut down on the Gemini API on 2026-10-22.\n\n## Before you call either\n\n### framefields\n\n1. Add the plugin with `/plugin marketplace add gatewai-dev/framefields` first; the official-directory install was not found on 20 October 2026.\n2. Approve only the skia-canvas install script, as the getting-started page shows, or imports fail with a missing `skia.node`.\n3. Check with `comp.lint()` and `renderFrameGrid` before a full `renderVideo` encode.\n4. Call `process.exit()` after rendering; native GPU threads keep the script alive.\n5. Preload vision models into `FRAMEFIELDS_MODELS_DIR` for offline or CI renders.\n\n### Google Veo\n\n1. Move off `veo-3.1-*-preview` before 2026-10-22. Use `gemini-omni-1.1-flash` on the Gemini API or the GA Veo IDs on Vertex AI\n2. Call `predictLongRunning`, then poll the operation name about every 10 seconds until `done` is true. Jobs take 11 seconds to 6 minutes\n3. Download the video within 2 days. The server deletes it after that\n4. Set `durationSeconds` to 8 for 1080p, 4K or reference images. Shorter clips aren't supported there\n5. In the EU, UK, Switzerland and MENA image-to-video only accepts `personGeneration` set to `allow_adult`\n\n## Questions\n\n### Which is better for AI agents, framefields or Google Veo?\n\nframefields and Google Veo score within a point of each other on agent readiness, 61.3 (C) and 60.4 (C). Google Veo leads on security \u0026 auth and transparency \u0026 trust.\n\n### Can an agent call framefields and Google Veo without installing anything?\n\nNo hosted endpoint is listed for framefields. Google Veo has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta.\n\n### Are framefields and Google Veo open source?\n\nframefields is open source (Apache-2.0). No open-source release is listed for Google Veo.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/framefields-vs-google-veo.json, and with the fewest tokens: https://www.anchorterminal.com/compare/framefields-vs-google-veo.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"framefields\", \"b\": \"google-veo\"}`. From a terminal: `anchor compare framefields google-veo`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/framefields.json and https://www.anchorterminal.com/api/v1/tools/google-veo.json\n\n## Other comparisons with framefields or Google Veo\n\n- [Alibaba Wan (Model Studio) vs framefields](https://www.anchorterminal.com/compare/alibaba-wan-vs-framefields.md)\n- [Alibaba Wan (Model Studio) vs Google Veo](https://www.anchorterminal.com/compare/alibaba-wan-vs-google-veo.md)\n- [fal video models vs framefields](https://www.anchorterminal.com/compare/fal-video-vs-framefields.md)\n- [fal video models vs Google Veo](https://www.anchorterminal.com/compare/fal-video-vs-google-veo.md)\n- [framefields vs Higgsfield API](https://www.anchorterminal.com/compare/framefields-vs-higgsfield.md)\n- [framefields vs HyperFrames](https://www.anchorterminal.com/compare/framefields-vs-hyperframes.md)\n- [framefields vs Kling AI API](https://www.anchorterminal.com/compare/framefields-vs-kling.md)\n- [framefields vs Luma AI API](https://www.anchorterminal.com/compare/framefields-vs-luma.md)\n- [framefields vs MiniMax Video API](https://www.anchorterminal.com/compare/framefields-vs-minimax-video.md)\n- [framefields vs OpenAI Sora API](https://www.anchorterminal.com/compare/framefields-vs-openai-sora.md)\n- [framefields vs Pika API](https://www.anchorterminal.com/compare/framefields-vs-pika.md)\n- [framefields vs PixVerse API](https://www.anchorterminal.com/compare/framefields-vs-pixverse.md)\n- [framefields vs Popcraft MCP](https://www.anchorterminal.com/compare/framefields-vs-popcraft-mcp.md)\n- [framefields vs Replicate video models](https://www.anchorterminal.com/compare/framefields-vs-replicate-video.md)\n- [framefields vs Runway API](https://www.anchorterminal.com/compare/framefields-vs-runway.md)\n- [framefields vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/framefields-vs-seedance-on-byteplus-modelark.md)\n- [framefields vs Vidu API](https://www.anchorterminal.com/compare/framefields-vs-vidu.md)\n- [Google Veo vs Higgsfield API](https://www.anchorterminal.com/compare/google-veo-vs-higgsfield.md)\n- [Google Veo vs HyperFrames](https://www.anchorterminal.com/compare/google-veo-vs-hyperframes.md)\n- [Google Veo vs Kling AI API](https://www.anchorterminal.com/compare/google-veo-vs-kling.md)\n- [Google Veo vs Luma AI API](https://www.anchorterminal.com/compare/google-veo-vs-luma.md)\n- [Google Veo vs MiniMax Video API](https://www.anchorterminal.com/compare/google-veo-vs-minimax-video.md)\n- [Google Veo vs OpenAI Sora API](https://www.anchorterminal.com/compare/google-veo-vs-openai-sora.md)\n- [Google Veo vs Pika API](https://www.anchorterminal.com/compare/google-veo-vs-pika.md)\n- [Google Veo vs PixVerse API](https://www.anchorterminal.com/compare/google-veo-vs-pixverse.md)\n- [Google Veo vs Popcraft MCP](https://www.anchorterminal.com/compare/google-veo-vs-popcraft-mcp.md)\n- [Google Veo vs Replicate video models](https://www.anchorterminal.com/compare/google-veo-vs-replicate-video.md)\n- [Google Veo vs Runway API](https://www.anchorterminal.com/compare/google-veo-vs-runway.md)\n- [Google Veo vs Seedance on BytePlus ModelArk](https://www.anchorterminal.com/compare/google-veo-vs-seedance-on-byteplus-modelark.md)\n- [Google Veo vs Vidu API](https://www.anchorterminal.com/compare/google-veo-vs-vidu.md)\n- [Clueso vs framefields](https://www.anchorterminal.com/compare/clueso-video-vs-framefields.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": "2026-10-21", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.5", "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": "framefields vs Google Veo", "url": "" } ], "description": "framefields and Google Veo score within a point of each other for video generation, 61.3 and 60.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "framefields C 61.3", "Google Veo C 60.4", "scores" ], "h1": "framefields vs Google Veo", "image": "https://www.anchorterminal.com/assets/og/compare-framefields-vs-google-veo.png", "path": "/compare/framefields-vs-google-veo", "published": "2026-10-01", "section": "tools", "title": "framefields vs Google Veo for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-20", "url": "https://www.anchorterminal.com/compare/framefields-vs-google-veo" }, "tokens": { "markdown": 2550, "slim": 730 }, "version": 1 }