by fancyboi999
Open-source AI canvas design agent — alternative to Lovart / CapCut Video Studio / Canva AI. Chat-driven image & video generation on an infinite canvas.
# Add to your Claude Code skills
git clone https://github.com/fancyboi999/LoomicGuides for using ai agents skills like Loomic.
Last scanned: 6/27/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-06-27T06:53:25.308Z",
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}See how Loomic compares with popular alternatives.
Loomic is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by fancyboi999. Open-source AI canvas design agent — alternative to Lovart / CapCut Video Studio / Canva AI. Chat-driven image & video generation on an infinite canvas. It has 311 GitHub stars.
Yes. Loomic passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/fancyboi999/Loomic" and add it to your Claude Code skills directory (see the Installation section above).
Loomic is primarily written in TypeScript. It is open-source under fancyboi999 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Loomic against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
CapCut 刚推出了 Video Studio——基于画布的 AI 视频制作空间,Lovart 做的是 AI 设计 Agent,Canva 也在往 AI 方向猛推。这类产品的共同点:闭源、数据不在你手里、定价你说了不算。
Loomic 做的是同一件事,但完全开源。你在无限画布上跟 AI 对话,它直接生成图片、视频,摆好位置,调好样式。不需要时间轴,不需要模板,不需要学 prompt 工程。说"把左边那张换成暖色调",AI 就懂了。
从构思、角色设定、故事板、场景生成、细节打磨到导出——整个创作流程在一个画布上完成。底层是 LangGraph 驱动的 Agent,接了 Google Gemini / Vertex AI / OpenAI / Replicate 十几个模型(包括 Veo 3.1、Kling、Seedance、Sora 等),图片视频都能生。
开源,可以自己部署,数据全在你手里。
🗣️ 对话式画布设计
🖼️ 图片生成(15+ 模型)
🎬 视频生成
🎨 无限画布
🏷️ Brand Kit
💰 积分 & 付费
🧩 可扩展技能系统
┌─────────────┐ WebSocket / REST ┌─────────────────┐
│ Next.js │ ◄──────────────────────► │ Fastify API │
│ Frontend │ │ + LangGraph │
│ (Vercel) │ │ Agent (Railway) │
└─────────────┘ └────────┬────────┘
│ PGMQ
┌────────▼────────┐
│ Worker(s) │
│ Image / Video │
│ Generation │
│ (Railway) │
└────────┬────────┘
│
┌────────▼────────┐
│ Supabase │
│ PostgreSQL │
│ Auth / Storage │
└─────────────────┘
| Component | Tech | Role |
|---|---|---|
| Frontend | Next.js 15 + React 19 + Tailwind CSS 4 | Canvas UI, chat panel, workspace |
| API Server | Fastify 5 + LangGraph | Agent runtime, WebSocket, REST API |
| Worker | Node.js poll-based consumer | Async image/video generation jobs |
| Database | Supabase (PostgreSQL) | Data, auth, storage, job queue (PGMQ) |
| Canvas | Excalidraw 0.18 | Infinite canvas rendering |
| AI | LangChain + LangGraph | Agent orchestration, tool calling |
| Queue | PGMQ | Reliable async job processing |
| Layer | Technology |
|---|---|
| Monorepo | Turborepo + pnpm |
| Frontend | Next.js 15 (App Router), React 19, Tailwind CSS 4 |
| Canvas | Excalidraw |
| Backend | Node.js, Fastify 5, TypeScript |
| AI Framework | LangChain 1.2, LangGraph 1.2 |
| LLM Providers | OpenAI, Google Gemini, Google Vertex AI |
| Image Generation | Imagen, DALL-E, Replicate (13+ models) |
| Video Generation | Google Veo 3.x, Replicate (Kling, Sora, Seedance, etc.), Metaso MiniMax H3 |
| Database | PostgreSQL (Supabase) |
| Auth | Supabase Auth (Magic Link + OAuth) |
| Storage | Supabase Storage (S3-compatible) |
| Queue | PGMQ (PostgreSQL native) |
| Payments | LemonSqueezy |
| Linting | Biome |
| Testing | Vitest |
npm install -g pnpm)brew install supabase/tap/supabase)git clone https://github.com/fancyboi999/Loomic.git
cd Loomic
pnpm install
Create a Supabase project at supabase.com, then apply migrations:
supabase link --project-ref YOUR_PROJECT_REF
supabase db push
This creates all required tables, RLS policies, storage buckets, and the PGMQ job queue.
cp .env.example .env.local
Edit .env.local with your credentials:
# ── Required: Supabase ──────────────────────────────────────
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_ANON_KEY=your-anon-key
SUPABASE_SERVICE_ROLE_KEY=your-service-role-key
SUPABASE_DB_URL=postgresql://postgres:pw@db.your-project.supabase.co:5432/postgres
SUPABASE_PROJECT_ID=your-project-ref
NEXT_PUBLIC_SUPABASE_URL=https://your-project.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key
# ── Required: At least one AI provider ──────────────────────
LOOMIC_AGENT_MODEL=google:gemini-2.5-flash # or openai:gpt-4o
GOOGLE_API_KEY=your-google-api-key # for Gemini + Imagen + Veo
# OPENAI_API_KEY=your-openai-key # alternative: OpenAI provider
# ── Optional: More generation providers ─────────────────────
# REPLICATE_API_TOKEN= # 13+ image/video models
# METASO_API_KEY= # MiniMax H3 video
# METASO_API_BASE=https://metaso.cn/api/minimax/
# GOOGLE_VERTEX_PROJECT= # Vertex AI (service account)
# GOOGLE_VERTEX_LOCATION=global # global for image/LLM
# GOOGLE_VERTEX_VIDEO_LOCATION=us-central1 # us-central1 for video
# GOOGLE_APPLICATION_CREDENTIALS= # path to SA JSON
The database URL above is a direct connection and requires IPv6. If your network does not support IPv6, copy the Session pooler URI (port 5432) from your Supabase project's Connect dialog into SUPABASE_DB_URL. Its host and username differ from the direct connection. Leave SUPABASE_JWT_SECRET empty for remote token verification, or set it to a single public JWK object (not a JWKS {"keys":[...]} object).
Next.js reads apps/web/.env.local separately. Copy apps/web/.env.local.example to that path, then set NEXT_PUBLIC_SUPABASE_URL and NEXT_PUBLIC_SUPABASE_ANON_KEY to the same public values as the root .env.local. Set NEXT_PUBLIC_SERVER_BASE_URL to your local API URL (by default http://localhost:3001).
Google sign-in needs separate OAuth credentials; GOOGLE_API_KEY is only for AI models. To enable the Continue with Google button, create a Web application OAuth client in Google Auth Platform. Set http://localhost:3000 as an authorized JavaScript origin and https://YOUR_PROJECT_REF.supabase.co/auth/v1/callback as an authorized redirect URI. Add the client's ID and secret under Supabase Dashboard → Authentication → Sign In / Providers → Google, then enable the provider. In Authentication → URL Configuration, allow http://localhost:3000/auth/callback as a redirect URL. You can use the seeded email/password accounts without configuring Google OAuth.
Note: See Environment Variables Reference for the full list.
自部署后,跑一下种子脚本就能直接体验各套餐功能,不需要接支付:
pnpm seed
脚本会在你自己的 Supabase 中创建 4 个测试账号:
| Password | Plan | Credits | |
|---|---|---|---|
free@test.loomic.com |
opensourceloomic |
Free | 50 |
starter@test.loomic.com |
opensourceloomic |
Starter | 1,200 |
pro@test.loomic.com |
opensourceloomic |
Pro | 5,000 |
ultra@test.loomic.com |
opensourceloomic |
Ultra | 15,000 |
These accounts are created in YOUR Supabase instance.
Use password sign-in on /login for these accounts. The login-link option only works for an email account that already exists; use /register to create a new account.
pnpm dev
This starts all services simultaneously:
| Service | URL | Description |
|---|---|---|
| Web | http://localhost:3000 | Next.js frontend |
| API Server | http://localhost:3001 | Fastify API + WebSocket |
| Worker | — | Background job processor |
Open http://localhost:3000 and start creating!
# Connect your repo to Vercel, then set:
# Build C