Design posters, social posts, presentations, invitations, resumes, thumbnails, and business cards in your browser with Doory, a self-hosted design editor that keeps your files, fonts, and brand assets on your own server. Start from one of ten starter templates or a blank canvas, then place text, shapes, lines, arrows, emoji, stickers, QR codes, and roughly 27,500 built-in icons anywhere on the page. Photo tools cover cropping, masks, filters, in-browser background removal, and 2x to 4x image upscaling, with stock photo search through Unsplash or Pexels. Layers can be renamed, locked, hidden, grouped, and reordered, while guides, snapping, rulers, per-page sizes, and format resizing keep multi-page designs tidy. Animations add 27 enter and exit effects, 12 emphasis motions, and 16 page transitions, plus Creative Commons music loops and sound effects, so decks can be presented live with speaker notes or exported as MP4, WebM, or GIF. Share links grant view, comment, or edit access with an optional password, and collaborators can pin comments, co-edit in real time, and roll back through version history. Brand kits store your colors, fonts, and logos so recurring posts stay on-brand, and exports cover PNG, JPG, SVG, and print-ready PDF with bleed and crop marks. An optional MCP server lets AI assistants create and fill designs from prompts, including bulk template filling from spreadsheet-style rows. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Attribution Assurance License licensed.

OpenPencil is the open-source design editor that reads and writes native Figma .fig files using the same Kiwi binary format — enabling bidirectional copy-paste between Figma and OpenPencil without data loss. The built-in AI assistant provides 90+ design tools through a chat interface, creating and modifying shapes, fills, strokes, auto-layout, components, variables, and boolean operations from natural language prompts, with BYOK support for Anthropic, OpenAI, Google AI, OpenRouter, Z.ai, MiniMax, and compatible endpoints. A Skia CanvasKit WASM renderer paired with Yoga WASM layout engine delivers Figma-parity rendering with flex and CSS Grid support including gap, padding, and alignment. The headless CLI inspects node trees via XPath queries, lints naming and accessibility, converts between document formats, analyzes color and typography patterns, extracts design tokens, and exports to PNG, SVG, JSX/Tailwind, and HTML. An MCP server exposes all design operations over stdio and HTTP, connecting Claude Code, Cursor, Windsurf, and Gemini CLI for AI-assisted design automation. Real-time P2P collaboration via WebRTC with Yjs CRDT synchronization requires no server and no account. The Vue SDK provides headless components for embedding the editor into custom applications. Ships as a 7 MB Tauri v2 desktop app for macOS, Windows, and Linux, or runs in any browser as a PWA. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With over 84,000 GitHub stars since its April 2026 launch, Open Design has emerged as the definitive open-source alternative to Anthropic's Claude Design. Rather than shipping its own language model, Open Design acts as an agent-agnostic design orchestration layer that auto-detects 25+ coding CLI executables on your PATH — including Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Qwen, GitHub Copilot CLI, Hermes, and Kimi — or connects to any OpenAI-compatible endpoint via its built-in BYOK proxy at /api/proxy/stream. The platform introduces a file-based protocol where SKILL.md files define composable design workflows and DESIGN.md files establish version-controlled brand systems, currently shipping 31 first-party skills and 72 brand-grade design systems. Output spans web and mobile prototypes, live dashboards, presentation decks, raster images, video, and HyperFrames motion graphics, with export pipelines for HTML, PDF, PPTX, MP4, and ZIP. The daemon architecture uses SQLite for project state and serves a sandboxed iframe preview renderer with vendored React and Babel for JSX artifacts. Deployment options include the native desktop app for macOS, Windows, and Linux, local daemon mode via pnpm tools-dev, a single-container Docker Compose path serving both API and Next.js frontend on port 7456, and Vercel deployment for the web layer. On RepoCloud, deploy Open Design on a dedicated VPS with full root SSH access, persistent storage for your design systems and generated artifacts, and complete control over which AI providers and agent CLIs your instance connects to, all under the Apache-2.0 license.

Fifty-plus image processing tools in a single Docker container, with no Redis, no Postgres, and no external dependencies: SnapOtter is a self-hosted image toolkit. The everyday operations are all here: resize, crop, compress, watermark, vectorize, meme generation, GIF creation, and format conversion spanning 55+ input formats (including 23 camera RAW formats) to 14 output formats. What sets it apart is the local AI layer: background removal, photo upscaling and restoration, object erasing, face blurring, OCR, and canvas expansion all run on locally hosted models, so no image ever leaves your server - a hard guarantee that cloud tools like remove.bg or Canva can't make. Optional NVIDIA GPU support accelerates those AI tasks substantially when hardware is available, but everything works on CPU. A built-in layer-based editor handles composition work directly in the browser, and screenshot beautification turns plain captures into polished visuals with backgrounds, shadows, and padding - useful for docs and marketing alike. Batch operations process unlimited images simultaneously, and the full REST API with OpenAPI documentation exposes every tool for pipelines and automations: thumbnail generation on upload, bulk RAW conversion, automated watermarking. For teams processing sensitive imagery or anyone tired of per-image SaaS pricing, SnapOtter replaces a stack of subscriptions with one private container.

Drop your screenshot, a base style is applied, style it however you wish, and export - "that's basically it," says Moocup's own author, and the description holds. The workflow is genuinely seconds long. Drag an image in and it lands on an attractive backdrop immediately; from there you adjust backgrounds, gradients, padding, borders, shadows, and framing with live preview until it matches your taste, then export a high-quality image ready for a portfolio page, README, blog post, tweet, or slide deck. There are no accounts, no watermarks, and no upload to anyone's cloud - as a self-hosted static app, your screenshots never leave your infrastructure, which matters when the screenshot shows a proprietary dashboard or unreleased product. It runs entirely in the browser from a tiny nginx container, works on any device, and requires zero design skill: the smart defaults do the heavy lifting, and everything else is optional tinkering.

Product Hunt's Maker of the Year: Animockup delivers an alternative to expensive motion graphics tools for creating animated product teaser videos entirely in the browser. The FabricJS canvas engine provides a fully interactive editing surface where you import product videos or screenshots, place them inside device mockups ranging from iPhones and MacBooks to browser windows and smartwatches, and customize everything from background gradients to overlay text positioning. Anime.js powers the animation system with configurable start and end transitions, easing curves, and duration controls that produce smooth entrance and exit effects without timeline editors or keyframe knowledge. The built-in FFMPEG.wasm pipeline handles all video processing client-side — no server-side rendering required — exporting finished teasers to WebM, MP4, or GIF at custom framerates and resolutions up to 4K. The crop and reposition tool lets you precisely fit product footage into any device screen regardless of aspect ratio differences. Twenty-plus device frames cover phones, tablets, laptops, desktops, watches, and generic browser windows for maximum versatility. Firebase authentication handles user sessions while the optional Paddle integration manages subscriptions — or remove both for a fully free deployment. Self-hosting requires only a static web server with optional PHP for the payment webhook endpoint. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

OpenPost is an open-source content creation and publishing suite that unifies multi-platform social scheduling, graphic design, and video editing into a single self-hosted control center. Creators can compose one primary announcement and tailor bespoke copy, media attachments, and thread structures across sixteen distinct networks including Bluesky, Mastodon, X, Threads, LinkedIn, YouTube, and Discord. The integrated browser canvas lets you design multi-slide carousels with custom typography, layer ordering, and automated background removal without juggling external design software. A built-in multitrack video suite allows you to trim footage, render subtitle captions, insert transitions, and slice clips directly by highlighting spoken words in generated transcripts. Social managers can organize campaigns through an interactive visual calendar, stagger deliveries across automated queues, and monitor unified comment streams to answer incoming audience inquiries directly from a single inbox. Teams can organize multiple independent client brands into partitioned workspaces with role-based permissions, automated repost policies, and programmable scheduling webhooks via native REST and Model Context Protocol endpoints. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Powering over $145K monthly recurring revenue as a one-person company and holding 34,000+ GitHub stars, Postiz has emerged as the most widely adopted open-source alternative to Buffer, Hootsuite, and Hypefury — combining social media scheduling with AI-driven content creation and agentic automation in a single self-hosted platform. The Next.js 14 frontend with React 18 and Tailwind CSS delivers a visual calendar and Canva-like design editor, while the NestJS backend orchestrates publishing across 30+ social networks including X, LinkedIn, Instagram, TikTok, YouTube, Reddit, Pinterest, Threads, Dribbble, Discord, Bluesky, Mastodon, and Facebook. Temporal handles durable workflow execution for reliable scheduled posting, retry logic, and background job processing. The built-in AI assistant generates post ideas, captions, hashtags, images, and short videos from natural language prompts — all within a single chat interface. An agentic layer exposes a CLI and MCP server that allow AI agents like OpenClaw, Claude, and ChatGPT to autonomously plan, draft, and schedule posts programmatically. Team collaboration includes role-based permissions, approval workflows, multi-workspace management for agencies, and commenting on scheduled content. A full REST API with a NodeJS SDK, N8N custom nodes, and Make.com integration enables automation pipelines. Analytics track engagement, reach, and growth across all connected accounts from a unified dashboard. The self-hosted stack deploys via Docker Compose with PostgreSQL, Redis, and Temporal pre-wired — no feature limitations compared to the cloud version. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Mixpost puts Facebook, Instagram, X, LinkedIn, YouTube, TikTok, Pinterest, Threads, Bluesky, Mastodon, Pixelfed, and Google Business under a single scheduling dashboard — plan content visually on a drag-and-drop calendar, queue posts for optimal engagement windows, and track audience growth per platform without juggling twelve separate apps or paying per-seat SaaS fees. Built on Laravel with a Vue.js 3 and Inertia.js frontend styled with Tailwind CSS, the Lite edition provides unified content management where each post supports platform-specific customization with individual captions, media attachments, hashtag groups, and first-comment scheduling. Posting queues automate publishing at configurable time slots throughout the day. The media library provides a centralized asset manager with drag-and-drop uploads, stock photo integration via Unsplash, and Tenor GIF search. AI-powered content assistance generates and optimizes post copy. Per-platform analytics dashboards display audience growth, engagement metrics, reach, and impressions with exportable reports. Team workspaces support role-based permissions for collaborative content management across departments. External integrations connect through the REST API, webhooks, n8n, Zapier, and RSS feeds, plus an MCP server for AI assistant publishing. Deploy via Docker Compose with MySQL and Redis. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

BrightBean Studio provides an open-source social media management suite that centralizes multi-account publishing, visual calendar scheduling, idea tracking, and cross-channel analytics into a unified self-hosted dashboard. Content creators and marketing agencies draft cross-network posts within an interactive composer that provides real-time channel previews and custom caption overrides for individual networks. The visual drag-and-drop calendar maps publishing queues across recurring weekly time slots, while an integrated Kanban board organizes brainstorming concepts from unassigned ideation to production-ready schedules. Community managers monitor unified social inboxes aggregating direct messages, mentions, and comments across Facebook, Instagram, LinkedIn, YouTube, TikTok, Bluesky, Threads, Pinterest, and Mastodon. Team leads configure multi-tier approval workflows with threaded editorial comments and issue passwordless 30-day magic links so external clients can approve drafts without registration. Built-in performance dashboards aggregate engagement rates, follower growth curves, and watch time metrics directly from native network APIs without relying on third-party data aggregators. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Describe a component in natural language and watch it render: OpenUI, from Weights & Biases, is an open alternative to Vercel's v0. Type a prompt like "a dark-themed dashboard with a sidebar and charts" and the LLM renders working HTML with Tailwind styling live in the browser. You then iterate conversationally, asking for changes until the design is right, and convert the result to React, Svelte, or Web Components for use in a real project. The backend is Python with LiteLLM routing, so it works with OpenAI, Anthropic, Gemini, Groq, and Mistral API keys, or fully offline against local Ollama models, including vision models like LLaVA that can generate UI from screenshot input - feed a screenshot and the model reproduces or riffs on an existing interface. Generated markup is inspectable at any point, with light and dark mode toggles, theme selection, and responsive previews across device sizes. The practical effect is compressing the mockup-review-revise loop from hours to minutes: a described layout renders in seconds and iterates through follow-up prompts, and because output converts to real framework code, prototypes feed directly into production codebases instead of staying trapped in a design tool. Self-hosting keeps unreleased product interfaces and prompts on your own server, and LiteLLM routing lets you pick the model per task - a cheap fast model for rough drafts, a stronger one for final passes, or free local models for unlimited experimentation.

Sketch a wireframe, get working code: Draw a UI turns hand-drawn layouts into web interfaces. It pairs the open-source tldraw canvas with an OpenAI vision model: you sketch a layout - boxes, labels, buttons, arrows, whatever communicates the idea - select the drawing, and click Make Real. The app snapshots your selection as a PNG, sends it to the vision API with instructions to return a single HTML file styled with Tailwind CSS, and renders the result in an iframe directly on the canvas next to your sketch. The loop is iterative: annotate the generated prototype or redraw parts of it, select both the sketch and the previous result, and generate again - the model receives the earlier HTML as context and produces an updated version. Built by Figma engineer Sawyer Hood as one of the first viral GPT-4 Vision demos and the basis for tldraw's "Make Real", it is a Next.js app that runs against your own OpenAI API key. Self-hosting matters here: the upstream demo ships without authentication, so a private deployment keeps your API key from being drained by strangers. MIT-licensed.

Most design tools stop at prototyping; Quant-UX also measures how real users actually perform with the prototype. The visual editor creates prototypes that behave like real apps - functional input widgets, animations, form validation, data binding across screens, and business logic modeled with REST requests and decision elements. Design systems are first-class, with components, design tokens, and master screens; if you design elsewhere, drop in image files or import from Figma. Testing is a shared link or QR code - no installs on the tester's side. Define user tasks up front, and Quant-UX records every session: click heatmaps show where users found (or missed) actionable elements, user journey graphs expose lost users, drop-off charts reveal where tasks stall, and success rates and task KPIs are extracted automatically into a dashboard. An A/B test operator wires two design variants into one prototype and compares task duration, success rate, and interaction counts. In-prototype surveys collect qualitative feedback alongside the numbers, and an AI assistant generates prototype fragments like styled forms on request. The RepoCloud deployment runs the full stack - frontend, backend, and WebSocket server containers over MongoDB - so all test recordings and research data stay on your infrastructure.

With 12,800 GitHub stars and backing from the same developer who created ControlNet, Stable Diffusion WebUI Forge replaces Automatic1111's inference backend with a dynamic GPU memory management system that runs SDXL 30-75% faster while consuming significantly less VRAM — enabling 1024x1024 generation on 6GB cards where A1111 requires 8GB or more. The Gradio 4 interface provides txt2img, img2img, inpainting, and outpainting workflows with a Forge Canvas supporting pressure-sensitive input from Wacom tablets and Microsoft Surface devices. Native Flux.1 model support loads Flux Dev and Schnell checkpoints using BitsandBytes NF4 and FP8 quantization for deployment on consumer GPUs without model splitting. Built-in ControlNet integration includes all preprocessors — Canny, Depth, Normal, OpenPose, MLSD, Scribble, Segmentation, Tile, and IP-Adapter — without requiring separate extension installation. The extension ecosystem maintains full compatibility with popular Automatic1111 extensions including Adetailer for face enhancement, After Detailer, Regional Prompter, and Dynamic Prompts. LoRA loading supports standard, LyCORIS, and DoRA formats with automatic weight detection. The API provides RESTful endpoints for txt2img, img2img, extra single/batch processing, and progress monitoring enabling headless batch generation. Deploy via one-click installer package, Python virtual environment, or Docker with NVIDIA GPU passthrough. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With over 27,500 GitHub stars, 350 contributors, and 220 releases since 2022, InvokeAI delivers an industry-leading creative engine that serves as the foundation for multiple commercial AI art products. The web-based UI supports an extensive model ecosystem including Stable Diffusion 1.5 through 3.5, SDXL, Flux.1 Dev, Flux.1 Schnell, Flux.1 Kontext, Flux.2 Klein 4B and 9B, CogView 4, Z-Image, Anima, and Qwen Image — plus externally-hosted models from OpenAI GPT Image, Google Gemini, BytePlus, and Alibaba Cloud via API key integration. The Unified Canvas provides a fully integrated workspace with in-painting, out-painting, brush tools, layer management, and regional guidance for compositing AI-generated content with existing artwork. The node-based Workflow Editor enables building complex generation pipelines with branching logic, connecting text encoders, VAEs, ControlNets, IP-Adapters, and LoRA weights into reusable graphs. Model management handles automatic downloading from HuggingFace and Civitai with conversion between safetensors, diffusers, and checkpoint formats. The backend runs on Python with CUDA, ROCm, and MPS acceleration supporting NVIDIA, AMD, and Apple Silicon GPUs. Multi-user accounts allow shared access to a single InvokeAI server with per-user galleries and settings. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

With over 126,000 GitHub stars and adoption across professional studios, research labs, and independent creators, ComfyUI has become the most widely used node-based interface for generative AI workflows — supporting image, video, audio, and 3D content creation through a single visual canvas. The graph editor natively supports Stable Diffusion 1.5, SDXL, SD3.5, Flux.1, Flux.2, HunyuanDiT, Lumina Image 2.0, HiDream, Qwen Image, and Pixart for image generation, plus Wan 2.1 and 2.2, LTX-Video, HunyuanVideo 1.5, CogVideoX, and Mochi for video, ACE-Step and Stable Audio for audio, and Hunyuan3D 2.0 for 3D models. Built-in tools handle inpainting, outpainting, ControlNet conditioning, LoRA and Hypernetwork loading, ESRGAN upscaling, area composition, model merging, and GLIGEN spatial control without writing code. The execution engine implements asynchronous queue processing with partial graph re-execution, running only changed nodes between iterations, and smart VRAM management that offloads models on GPUs with as little as 1 GB of memory. API nodes optionally connect to closed-source models through Comfy API while the core runs fully offline. Reusable subgraphs and App Mode expose complex workflows as simplified interfaces for non-technical users. The V3 custom node schema enables stateless execution with async support and process isolation. The TypeScript and Vue frontend ships as a PyPI package with stable releases every two weeks. Workflows save as JSON and embed in generated PNG, WebP, and FLAC files for reproducibility. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL v3.0 licensed.

Instead of juggling a chat window, a folder of reference images, and a notebook of half-remembered prompts, Infinite Canvas puts the whole image-making process on one zoomable board. Drop in text, image, video, and generation-settings nodes, then wire them together so every result stays connected to the prompt and references behind it. Add one or several OpenAI-compatible endpoints, choose default text, image, and video models, and set image count, aspect ratio, quality, and transparent backgrounds per node. Batch results arrive as linked nodes that remember their prompt, model, and dimensions, so any of them can be retried later with the same settings. A prompt library searches seven built-in sources plus your own JSON sources and inserts the winner straight onto the board. An asset shelf keeps reusable images, clips, and audio within reach. Projects can be duplicated, exported, and synced between devices over WebDAV. Want a helper? A local Canvas Agent lets Codex read the active board and edit it through MCP, with approvals and permissions shown in a side panel. Plugins add node types, inspectors, and toolbar actions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

The social preview cards shown when links hit Twitter, LinkedIn, Slack, or Discord, generated on the fly: Oxigen is a small Go service for dynamic Open Graph images, no designer required per page. Instead of exporting static images per page, you compose a card once and drive it with parameters: title, author, website, logo, background image, and background dimming all arrive as URL query arguments, so your og:image meta tag simply points at the Oxigen endpoint with the page's own values substituted in. Every blog post, product page, and doc gets a branded, correctly sized preview generated on the fly. A built-in web UI covers interactive composition - tweak the text and imagery, watch the preview update, copy the resulting URL - while the same rendering path serves programmatic API use from static site generators, CMS templates, or build pipelines. Rendering is pure Go using the gg 2D graphics library, freetype fonts, and the imaging package, built on the kyoto framework by that project's author. Deployment is one stateless container on port 80 with no database and no external dependencies, so instances scale and restart freely.