--- title: 3DAssets.dev: a free 3D asset library, run by an automated pipeline · Pavegrowth description: A free, open library of game-ready 3D assets for people and AI agents. Every upload is validated, re-encoded and human-reviewed automatically, giving 22,000+ GLB models, 350+ packs and 200+ walkable demos, all CC0, with an API and an MCP server built in. url: https://pavegrowth.co/work/3dassets/ --- [← Work](https://pavegrowth.co/work/) · 3DAssets.dev ![3DAssets.dev](https://pavegrowth.co/_astro/logo.D0ApeZ6x_ZdxPsb.webp) · Built & launched end to end # 3DAssets.dev: a free 3D asset library, run by an automated pipeline. A free, open library of game-ready 3D assets for people and for the AI agents building alongside them. 22,000+ GLB models across 350+ packs and 200+ walkable demos, every one CC0 and free for commercial use, with no account needed to search or download. Uploads are validated, re-encoded and previewed automatically before a human reviews them, so anyone starting out in game development can build a scene without spending money, or LLM tokens, generating the models themselves. Product [3dassets.dev](https://3dassets.dev/) Type Free, CC0 platform Catalogue 22,000+ assets Services Platform development, Automated pipeline, API & MCP, Product design [Visit 3dassets.dev ](https://3dassets.dev/) · [Browse the packs ](https://3dassets.dev/packs) · [Connect an agent ](https://3dassets.dev/docs/mcp) ![3dassets.dev homepage: Free 3D assets, built for you and your AI agent, above a stat bar with the live model count, CC0, GLB and 100% human-reviewed](https://pavegrowth.co/_astro/home-d.DB0K8uux_Z2oXNu.webp) Homepage, with the live catalogue count · 3dassets.dev The numbers ## A whole asset library, free to everyone. 22,000+ · Game-ready GLB models 350+ · Packs, each with a starter scene 200+ · Walkable demos in the browser £0 · No tiers, no paywall, no attribution Why I built it ## The hardest part of starting in 3D is the assets. Learning to build a 3D game runs into the same wall early: the models. A single character or a set of props can take days to make, and generating a whole world with an AI model burns tokens quickly, with no guarantee the files will load cleanly when they arrive. So I built the library I wanted when starting out. **Every model is a clean GLB** that drops into three.js, Blender, Godot or Unity without extra decoders, **everything is CC0** for personal and commercial use, and the whole catalogue is readable by a person or an agent. No account, no tier, no paywall, and every asset an agent pulls from it is one it did not spend tokens generating. What I built ## From an upload to a world you can walk around. The catalogue, the pipeline behind it, and the ways in and out: browser, REST API and MCP. ### The automated pipeline Every upload follows the same path, whether it comes from the browser or an agent: validation, quantized geometry, WebP textures, rendered thumbnails and posters, a blurhash placeholder and per-model stats. Then it goes to a human for review. * One self-contained format for every asset * Versioned CDN URLs, so a link never changes under a project * AI involvement recorded per asset, with the model named ### Packs that fit together 350+ kits built around a shared palette, scale and materials. Each ships a composed starter scene, a manifest of individual model URLs and a preview, so a level starts from pieces that already belong together. ### Walkable demos 200+ small environments, each built from one pack and played in the browser with WASD and the mouse, or touch on a phone. See the real scale and style of a pack before downloading any of it. ### Built for agents as well as people A streamable HTTP MCP server with 20 tools, a versioned REST API with OpenAPI, per-asset Markdown and llms.txt. One command connects Claude Code, Codex, Cursor or VS Code, and an agent can search, fetch, upload and check review status. How it works ## Submit, process, review, publish. Automation does the repetitive work. A person still signs off every model that goes live. 1. Submit ### In from the browser or an agent A contributor uploads a file, or an agent submits one from a URL, and the upload is finalised through the API with a signed URL. 2. Process ### The pipeline does the rest Validation, quantization, WebP textures, previews, blurhash and stats run automatically, in one pass, on every file. 3. Review ### A human checks it Assets wait in a review queue. Licences and AI attribution are confirmed before anything is published. 4. Publish ### A permanent URL on the CDN The asset goes live at an immutable, CORS-enabled URL, filed by category, theme and style, and free to hotlink. Screens ## The library, the packs and the agent docs. ![Walkable demo: a farmyard and homestead scene built from the Cozy Farm and Homestead pack](https://pavegrowth.co/_astro/demo-d.ComVe1NQ_FtjgG.webp) Walkable demo: farmyard and homestead ![Packs page: Start with a world that fits together, showing 350+ free packs and assembled starter scenes](https://pavegrowth.co/_astro/packs-d.Cnb66Mv1_ZQDoIK.webp) Packs, with assembled starter scenes ![Assets page: 22,000+ free GLB models, browsable by category, theme and style](https://pavegrowth.co/_astro/assets-d.DoY62a2t_5wbTh.webp) 22,000+ models, filtered by category and style ![MCP server docs: one connection command each for Claude Code, Codex, VS Code and Cursor](https://pavegrowth.co/_astro/mcp-d.CwgmOL2I_ZHhbrq.webp) MCP setup, one command per client ### On a phone ![3dassets.dev homepage on mobile: Free 3D assets, built for you and your AI agent](https://pavegrowth.co/_astro/home-m.hAqN5ow7_2r82Y7.webp) Homepage ![A walkable demo on mobile: drag to walk around the farmyard scene](https://pavegrowth.co/_astro/demo-m.BXoZCoQx_2abOJY.webp) Walkable demo ![Packs page on mobile: Start with a world that fits together, with 350+ free packs](https://pavegrowth.co/_astro/packs-m.DxHAv5up_ZEucdN.webp) Packs How it's built ## A catalogue that mostly builds itself. A top-level look at how it's put together, from the upload that starts the pipeline to the CDN URL a game loads at runtime. See how it's built Optional, for the technically curious Ingest ### One path in, whatever the source A person uploads in the browser, or an agent submits a model from a URL and finalises the upload through the API. Signed upload URLs keep the storage credentials out of the client, and nothing reaches the catalogue until the file has been checked. Browser upload, Upload API, Signed URLs, GLB validation Processing ### Clean, web-ready files, generated automatically Geometry is quantized and textures are re-encoded to WebP and embedded, so every model is a self-contained binary glTF that three.js loads without Draco or KTX2 decoders. The same run produces thumbnails, posters, a blurhash placeholder and the stats shown on each asset page. GLB, KHR\_mesh\_quantization, WebP textures, Previews Review ### A human before anything goes live Processed assets queue for review. A person checks the model and its metadata, the contributor acceptance of the CC0 dedication is recorded, and any AI involvement is attributed to a named model. Versions are kept, so a correction never breaks an existing link. Review queue, CC0 1.0, AI attribution, Versioning Delivery ### Immutable CDN URLs you can hotlink Published files live at a versioned, immutable URL on the CDN, served with CORS open to every origin and no cookies or keys. A model is downloaded once and cached, rather than re-fetched on every build. CDN, CORS, Immutable URLs, Rate limits Catalogue ### Browsing that suits people and packs Every asset is filed by category, theme and style. Packs group models that share a palette, scale and materials, and each one ships a composed starter scene and a manifest of individual CDN URLs alongside a walkable demo. Next.js, Search, Pack manifests, Walkable demos Agents ### MCP and REST, not an afterthought The whole catalogue is readable through a streamable HTTP MCP server and a versioned REST API, with per-asset Markdown, llms.txt and a skill for agent clients. Reads need no account or key; writes use a bearer key tied to the contributor. MCP, REST API v1, OpenAPI, llms.txt, SKILL.md About![Josh Pavey](https://pavegrowth.co/_astro/avatar.BbmBhYNK_TT63c.webp) **Josh Pavey** · Founder **Currently** [Get in touch ](#contact) UK time ## Senior strategy. Hands-on delivery. I've spent **7+ years in paid advertising**, agency-side and in-house, most recently as **Head of Paid Search for 3+ years at Soar With Us**, a D2C agency, growing brands to **8+ figures**. I've since started Pavegrowth to continue my love of building and growing brands with that expertise. Alongside the ad accounts I build Shopify themes, iOS apps and software products, including my own. Growth marketing and development under one roof. I utilise AI workstreams to support moving faster & streamlining internal & client workflows to ensure efficiency, whilst the strategy, judgement and accountability are mine. You talk directly to the person doing the work. 7+ · Years in paid ads £10M+ · Ad spend managed 100s · Audits & accounts managed 30-minute intro call ## Let's grow your brand, together. Thirty minutes to get to know your brand, your goals and where the growth is. No pitch deck, just a straight conversation about where we'd take it next. 1. 0–10 · Your brand, goals and growth targets 2. 10–25 · Where I'd look first for growth, and why 3. 25–30 · Fractional, a project, or not a fit [Book an intro call ](https://calendar.app.google/xccypEeR4XJFWLWp6) Email [josh@pavegrowth.co](mailto:josh@pavegrowth.co)