Open Source App Cloud Marketplace

Among open-source Mailchimp alternatives, Keila has the most modern UI - built in Germany on Elixir and Phoenix (the PETAL stack), with GDPR-conscious defaults including an optional no-tracking mode, and 100% open source with no proprietary premium tier. Campaign authoring is flexible three ways: a visual block editor with multi-column layouts, Markdown with or without WYSIWYG for hybrid HTML-plus-plain- text sends, and raw MJML for hand-coded designs. The personalization system is unusually clean - every contact carries custom data as a single JSON object (populated from sign-up form fields or pushed from your CMS/CRM), and Shopify's Liquid template language renders it into fully dynamic emails. Targeting uses a visual segment editor backed by a powerful segment language for complex logic over tags, language preferences, and any custom field. Sign-up forms with custom fields grow your lists; open and click tracking measures campaigns; scheduled sending handles timing. Delivery pipes through your own SMTP or first-class integrations with AWS SES (including automated bounce handling), SendGrid, Mailgun, and Postmark. A full REST API manages contacts, campaigns, and segments, with Erlang/OTP reliability underneath. Comfortable at 100K+ subscribers. AGPL-licensed, EU-hosted project, actively developed.

Cap is an open-source screen recorder with a built-in sharing site, so the explanation you would have booked a call for becomes a link someone can watch whenever it suits them. Pick Instant Mode when speed matters: choose a screen, window, or area, add your camera and microphone, and the video uploads while you record, so the share link is ready the second you stop. Pick Studio Mode when polish matters: Cap records locally at up to 4K and 60 frames per second, keeps screen and camera as separate tracks, and opens an editor for trimming, backgrounds, zooms, captions, and export to MP4 or GIF. Whichever mode made it, a shared video lands on a page that plays in any browser, where viewers can leave comments and reactions. Owners can keep a video private or protect it with a password, and team workspaces keep a shared library organized. Share pages come from your own domain, and recordings live in the bundled object store or any S3-compatible bucket. Connect a transcription and AI provider to add transcripts, titles, summaries, and clickable chapters. Bug reports, product demos, onboarding walkthroughs, design reviews, and async standups all shrink to a short recording and a link. The desktop apps for macOS, Windows, and Linux connect to your server through a single Cap Server URL setting. 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.

PullMD turns any URL or file you point it at into clean Markdown your AI agent can actually afford to read. Paste a web page and get back tidy body text with metadata tucked into frontmatter instead of navigation soup and cookie banners. Send it a Reddit or Hacker News thread and it returns the full comment tree with depth and count under your control. Hand it a PDF, Word file, PowerPoint, spreadsheet, or EPUB and it hands back Markdown, with an optional OCR tier for stubborn table-heavy documents. YouTube links come back as title, description, and a transcript with clickable timecodes, no API key required. The query-scoped mode answers a question about a long page by returning only the relevant sections, typically cutting 70 to 95 percent of the tokens. Every conversion gets a short share link that re-fetches the source when it goes stale and serves the last good snapshot if the original dies. Agents connect through the built-in MCP server with OAuth 2.1, a plain REST API, or a downloadable Claude Code skill, while you keep history, an archive, and cache statistics in the web app. 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.

A project brief and the task board tracking it belong together, and Litpage keeps pages, databases, and team discussion in one self-hosted workspace instead of scattering them across subscriptions. Write in a block editor with 41 block types, a slash menu, markdown shortcuts, drag and drop, mentions, equations, and highlighted code blocks. The same data becomes a table, board, list, gallery, calendar, timeline, chart, dashboard, feed, form, or map, with typed fields, formulas, relations, and rollups underneath. Automations and buttons turn those databases into working tools, while templates keep repeated projects consistent. Teammates edit together live, comment, suggest edits, and revisit version history, with page-level and field-level permissions deciding who sees what. Pages can be shared publicly or published as sites, and Markdown, CSV, HTML, Word, and PDF files import into the tree. Optional AI runs on the provider and key you configure: chat that searches your workspace, custom agents on schedules or triggers, writing help, database autofill, and meeting-note summaries. Administrators get member and guest management, security policies, an audit log, analytics, passkeys, and two-step verification. A REST API with personal tokens, webhooks, and an MCP endpoint open everything to your other tools. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

LearnHouse delivers a modern open-source learning platform that replaces proprietary course builders with a self-hosted alternative shipping a rich feature set out of the box. The Tiptap-powered block editor supports videos, documents, embeds, quizzes, and file uploads in a Notion-like interface with real-time co-editing powered by Hocuspocus and Yjs CRDT synchronization over WebSocket. AI tutoring integrates Google Gemini and LlamaIndex for RAG-powered context-aware assistance that adapts to course content, while interactive Playgrounds use AI to generate simulations, diagrams, and learning exercises. The platform handles the full course lifecycle: chapters and activities organize into collections and learning paths, assignments support automated and manual grading, and code blocks execute student submissions in 30+ languages with auto-grading. Analytics dashboards track learner engagement, progress, and completion rates in real time. The backend runs on FastAPI with SQLModel and Alembic migrations against PostgreSQL 16 with pgvector for AI embeddings, while Redis handles caching and session management. The frontend builds on Next.js 16 with React 19 and Tailwind CSS v4. Deployment uses an interactive CLI wizard that configures domain, database, admin account, SSL via Let's Encrypt, and optional features like email via Resend, S3 storage, and Google OAuth, then generates a Docker Compose stack ready to start. On RepoCloud, deploy LearnHouse on a dedicated VPS with root SSH access, persistent PostgreSQL storage for your course data, and complete control over AI provider keys and branding customization, all under the AGPL v3 license.

Document review, fixed-layout report generation, and multi-step research that ends in a PPT, Excel, or Word file all run inside BISHENG, a self-hosted workspace for enterprise AI applications. Review and report flows are drawn on a visual canvas where a circle becomes a loop, side-by-side nodes run in parallel, and a multi-item selection runs as a batch. A running flow can stop for a person to give input, confirm, or make changes, and chat and automation share one flow type. Research goes to Task Mode: give it a goal plus any files, knowledge bases, tools, and skills, and it writes a checklist, hands research to parallel sub-agents, and returns a report with clickable citation markers. Teams sharing documents use Knowledge Spaces, with folders, tags, keyword search, AI Q&A that shows its sources, and permissions down to a single file for people, departments, or user groups. For a daily news briefing, Channels turn WeChat official accounts and websites into topic feeds and save articles as knowledge in one click. Admins connect OpenAI-compatible APIs, Azure OpenAI, Anthropic, Qwen, DeepSeek, and local Ollama models, then govern access with approvals, audit logs, SSO, and LDAP. Private document parsing reads printed text, handwriting, tables, layouts, and seals, and a service-account Open API lets other systems call applications and knowledge bases. 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.

Whirl puts every top AI model in a single conversation and remembers what you were working on last week, so you can switch models mid-thought without losing the thread. Ask for a report, a chart, or a small interactive page and it appears as a living artifact in a side panel, still editable while you keep chatting, and shareable by link when it is ready to leave the conversation. Connect your own tools over MCP, with OAuth sign-in handled for you, or install skills that teach the app new tricks your team relies on. Long-term memory carries your preferences and project context from chat to chat, and live web search with page reading grounds answers in today's pages instead of the model's training data. Sensitive threads can be locked with a password that encrypts them on your device, where the server never sees the key and only zero-retention models may answer. Around those headline pieces sits the everyday kit: incognito mode, a message queue for when you think faster than the model replies, voice input, image generation, file attachments, folders, and sharing controls. An admin console manages the model catalog, integrations, and skills, and the interface itself switches between light and dark with your choice of accent color, installable as a mobile web app. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Headroom answers the question every multi-plan AI subscriber asks mid-task: which of my accounts still has room to work? It puts the live limits, reset times, credits, and spend of Claude, Codex, Cursor, Copilot, Grok, Antigravity, and Vercel AI Gateway accounts on one self-hosted dashboard instead of seven provider pages. Connect each account once, through its official CLI sign-in or a credential import, and a background scheduler refreshes every figure on schedule, renews tokens before they expire, and keeps 90 days of readings. Five-hour sessions, weekly pools, per-model limits, credit balances, banked resets, and on-demand spend sit side by side, and unreported figures show as unknown rather than a fake zero. Compare ranks same-provider accounts by the room they have left and names the one to use next, while Timeline lays every reset window on a two-week calendar. Analytics charts when you work, when you run dry, and whether each plan fits, and Wallet totals subscriptions, usage spend, and top-ups in one currency with renewals and budget alerts. In-app notices, Telegram messages, and signed webhooks warn about low limits, expiring resets, and broken sign-ins, and optional automations can spend a banked Codex reset or log a credit top-up the moment it lands. Personal, work, and side-project accounts stay separate under one owner login with passkeys and a Privacy Mode that blurs emails on screen. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Ollaya serves decision models that answer typed questions about a message, ticket, or document with calibrated probabilities, through a self-hosted API shaped like the hosted service it can replace. Send a state, which can be an email, a support ticket, or any JSON, plus typed choice, score, and yes or no questions, and the model answers in one forward pass in milliseconds without generating text. Pull models by name the way Ollama users already know, with run, list, ps, show, copy, and remove commands managing the local store. Downloads verify every layer against its sha256 digest, resume when interrupted, and share blobs between models so storage stays lean. Existing TypeSafe code keeps working by changing one environment variable, because the /v1/systemone and /v1/decisions endpoints are wire-identical and the official SDK sends its key the same way. The native /api adds routing information and timings, model loading and unloading, and streamed pull progress for your own tooling. Put it to work triaging inboxes, routing requests to the right model or team, screening prompts for injection and jailbreak attempts, or replacing per-token LLM classification calls with a local answer. Agents reach the same engine through the bundled MCP server, and LiteLLM, LangChain, DSPy, LlamaIndex, n8n, and Dify connect through their existing integrations. 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.

Kaleta is a business-website CMS where the page you edit is the page your visitors get, not a preview of it. The visual builder works on the live canvas: add sections, drag elements, edit text in place, and style every element separately for desktop, tablet, phone, and hover before you publish. Forty-six elements and forty ready-made sections cover pricing tables, timelines, before-and-after sliders, galleries, accordions, carousels, maps, and mega menus. Consistency comes from a design-token system: change one colour, font, spacing, or radius token and the whole site follows, with a WCAG contrast check on every colour pair and export in the W3C token format. Blocks you reuse become components edited once and updated everywhere, and each page carries its own search title, sharing image, and visibility, with the last twenty publications kept as versions. Moving in is a first-class feature: importers take WordPress exports including WooCommerce products and Polylang or WPML translations, plus Ghost, Blogger, Joomla, Drupal, and Webflow, creating a redirect from every old address so rankings survive. An optional AI assistant connected through MCP builds pages and handles chores only as drafts you approve. Forms, booking, enquiries, media folders with focal-point cropping, multilingual publishing, and GDPR duties such as automatic personal-data deletion are built in rather than bolted on. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.

Marfa is a data layer you run yourself, where your notes, tasks, reading, and records live in one typed store that any app, script, or AI agent you allow can read and write. You decide what kinds of things you keep and how they connect, and the server checks every write against that structure, so a task, a book, and a person stay linked instead of scattered across five apps. Connectors pull in what already lives elsewhere, from GitHub repositories and issues, Todoist tasks, Readwise highlights, and RSS feeds, each writing under its own type with its own key. Keys are scoped, so the script that imports your reading list can never touch your tasks, and every change flows back out through a live event stream and full-text search. The marfa command line writes and reads from scripts and agents, the TypeScript SDK builds web apps on the same API, and the Swift SDK keeps an offline working copy on your devices that syncs its writes when your instance is reachable again. A folders command mirrors your notes as plain Markdown files on disk. Everything sits in one SQLite database and a folder of files on your server, with container deployment that streams backups to your own bucket. 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.

When an AI agent breaks in production, Tracely freezes that exact run into a replayable regression test and blocks the pull request that would ship the bug again. Span soup hides the failure. OTLP/HTTP traces group into conversation threads, and a waterfall marks the failing span in red with its input and output. Nobody knows if an answer was good. Evaluators sit as columns on the trace table, mixing model-free checks with LLM judges at conversation, run, or span level. Thirty-one broken runs, one issue. Clustering turns them into a single counted issue and can suggest the evaluator that would have caught it. A fix nobody can prove. One click promotes a failing trace into a hermetic case with recorded fixtures and a fail-to-pass contract, and scenarios send a red-team model after an adversarial goal. Model bills on every CI run. The suite replays offline with no API keys and no model spend, and tracely gate posts a commit status, comments on the pull request, and blocks regressions. No warning when it breaks again. Alert flows drawn on a canvas react to failed gates, broken conversations, unseen failure modes, or rising failure rates by messaging Slack, sending email, calling a webhook, or prompting an LLM. Coding agents can read traces and write evaluators through an MCP 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.

One self-hosted workspace holds your team's chat, tasks, notes, and calendar, and Deft lets AI agents work in it beside your people. People get real-time chat with spaces, direct messages, threads, mentions, reactions, files, and presence. Tasks open as Board, Table, Timeline, or Calendar views, with dependencies, subtasks, recurrence, and bulk actions. Notes, decisions, and channel memory become durable knowledge, with graph views and links back to the source conversation. Native calendar events sit beside read-only ICS subscriptions. Agent employees can join channels and receive task assignments. Tag the built-in assistant Defty to draft a task, answer a workspace question, or take a governed action, then review the proposal in an approval card before anything changes. Personal connections let Codex, Claude, ChatGPT, and other streamable HTTP MCP clients act as the signed-in user within revocable scopes. Approval tiers, trust levels, token scopes, revocation, activity history, and action receipts record who or what acted and what changed. OpenAI, Anthropic, OpenRouter, OpenAI-compatible endpoints, and local Ollama-style models are supported providers. Chat, tasks, notes, and calendars keep working with no AI key. Modules add company-specific records, relationships, and views, with a bundled Contacts module as the first example. 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-only licensed.

Trusted by Cal.com, WhiteBIT, and Documenso and backed by 8,800+ GitHub stars, OpenStatus delivers the open-source status page and uptime monitoring platform that replaces Atlassian Statuspage, Better Stack, and Instatus with a single self-hosted deployment. The monitoring engine runs Go-based probes across 28 global regions on three cloud providers checking HTTP, TCP, and DNS endpoints in parallel with configurable intervals and multi-region consensus to eliminate false-positive alerts. Status pages ship with custom domain support, password and email-domain access controls, maintenance windows, grouped monitor components, and subscriber notifications via email and RSS. Incident management provides structured status reports with investigating, identified, monitoring, and resolved timeline phases that publish automatically to affected status pages. The monitoring-as-code workflow supports YAML configuration synced through the CLI, a GitHub Actions integration for CI/CD pipelines, and a Terraform provider for infrastructure-as-code deployments. The typed ConnectRPC JSON-over-HTTP API exposes a published OpenAPI specification with a Node SDK for programmatic access, while an MCP server connects AI assistants like Claude, ChatGPT, and Cursor directly to workspace data. The tech stack combines Next.js with shadcn/ui for the dashboard, Hono for the API server, Drizzle ORM over Turso for application data, and Tinybird for analytics. Private monitoring locations deploy as a single 8.5MB Docker image behind firewalls to check internal services. 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.

For video enthusiasts and media archivers who want complete ownership over their online video subscriptions, MyTube provides a self-hosted video downloader, library organizer, and streaming portal. Paste a single link or queue a batch of URLs from YouTube, Bilibili, Twitch, MissAV, and over one thousand yt-dlp compatible sites to archive videos directly to your disk. Subscribe to your favorite creators so new uploads download automatically in the background alongside their default language subtitles. Local video uploads automatically generate thumbnails and pull movie or television posters, cast details, release years, and ratings from TMDB. Curate custom collections, filter your catalog by tags or authors, and generate private RSS feed links for external podcast and feed readers. Built-in playback tools include keyboard shortcuts, cinema mode, Canvas-based in-car playback, and optional real-time audio translation with live subtitles via Google Gemini. You can sync finished recordings to Alist or OpenList cloud storage, trigger custom shell scripts on task completion, and receive instant Telegram bot alerts when downloads finish or fail. Share your library safely using read-only visitor accounts while protecting admin controls with WebAuthn passkeys or a 3x3 gesture lock. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

A polished public status page without Statuspage prices or a heavyweight observability suite: Kener is a status and uptime monitoring system built with SvelteKit and Node.js. It runs 11 monitor types - API, Ping, TCP, DNS, SSL certificate, SQL query, Heartbeat, gRPC, and GameDig game-server checks among them - each with configurable intervals and thresholds. Incident management covers the full lifecycle: structured timelines from investigation through resolution, acknowledgements, and subscriber-visible updates, plus maintenance windows with RRULE-based recurring schedules and automatic status transitions. Notifications reach email, Slack, Discord, and custom webhooks through trigger-based workflows with template-driven messaging. One instance can serve multiple branded status pages - per product, team, or region - with custom logos, colors, and CSS, localization into 21 languages, timezone-aware displays, and server-rendered pages that stay fast and SEO-friendly. Operations tooling includes role-based access for teams, API key management, a secrets vault, analytics integrations (Google Analytics, Plausible, Umami, and others), and a REST API with 17+ endpoints for automating incidents and monitors from CI/CD. MIT-licensed; Docker deployment with Redis, SQLite by default, PostgreSQL or MySQL for production.

Your server already runs your apps; PhreshOS gives it a desktop. Install the System once and every Program you add gets a window on a real browser desktop, complete with taskbar, start menu, and a plane of views you can spread work across. Close the browser and nothing stops: each Program's server keeps running on the machine, holding its data and state, and when you open the Desktop again the windows are exactly where you left them. The System handles the groundwork every small web tool normally rebuilds for itself: one sign-in for the owner, permissions that decide what each Program may reach, storage and uploads, logs, and messaging between Programs, so a new tool only brings its own logic. Everyday pieces like the file manager, Settings, and even the wallpaper are Programs too, and an appearance changes colors and motion across the whole desktop at once. The same Desktop opens in several browsers simultaneously, each with its own view and scale, and AI agents work alongside you through the same Programs and APIs you use. When you want another tool, you create it as a small web project and its window appears on your desktop. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Every home cook keeps a graveyard of recipes scattered across bookmarks, screenshots, chat threads, and one stained index card, and CookTrace gathers the whole mess into one self-hosted library that knows what is in your pantry. Import recipes from URLs, files, or photos, or bring entire Mealie, Paprika, and Tandoor archives in bulk, then cook with live scaling that does fraction-aware ingredient math, per-step photos, and an inline unit converter. A pantry-match pill on every recipe card tells you at a glance what you can actually cook tonight, while barcode scanning and expiration digests keep stock honest. The cook diary and meal planner move from list to month calendar with drag-to-re-plan, and the shopping list generates itself from planned recipes, skipping items you already own and grouping the rest by aisle. Households organize into cookbooks and shared Kitchens with public links, and an optional conversational assistant can log a cook, plan a meal, or import a recipe for you. An opt-in MCP server even exposes your recipes and lists to external AI agents under token-scoped tool tiers. 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.