625 applications
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WhoDB

With nearly 5,000 GitHub stars earned in under two years, WhoDB has rapidly emerged as the lightweight alternative to heavyweight database clients like DBeaver and DataGrip by delivering a sub-50MB binary that starts in under a second and connects to 18+ database systems from a single interface. The Go backend serves the React and TypeScript frontend with table virtualization for efficient rendering of large result sets, lazy loading, and query result streaming that keeps the interface responsive even when browsing tables with millions of rows. The Community Edition connects to PostgreSQL, CockroachDB, YugabyteDB, MySQL, MariaDB, TiDB, SQLite, DuckDB, MongoDB, FerretDB, Redis, Valkey, Dragonfly, Elasticsearch, OpenSearch, ClickHouse, QuestDB, and Memcached through a unified credential selector that switches between databases with minimal configuration. Interactive schema diagrams render entity-relationship graphs showing table structures, foreign keys, and column types for visual database exploration. The Jupyter-style query scratchpad provides SQL autocomplete, syntax highlighting, and multi-statement execution with paginated results. AI integration optionally connects to Ollama, OpenAI, Anthropic, LM Studio, or any OpenAI-compatible provider for natural language database queries — ask questions in plain English and receive generated SQL. Data management includes inline row editing, CSV export, and filtered data views. Docker deployment runs a single container exposing port 8080. 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.

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Mixpost

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.

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Zipline

ShareX and file uploads, next generation: Zipline is a Node.js/React/PostgreSQL server that turns screenshot sharing and file hosting into something you run yourself instead of renting from Imgur or a paid image host. The core workflow is built around ShareX: generate an .sxcu config from your account settings, import it, and every screenshot or clipboard capture uploads to your domain with a short link copied automatically. Uploads accept any file type, organized with folders and tags, with token-protected uploading, optional password protection, view-limited auto-deletion, image compression, metadata stripping, automatic video thumbnails, and chunked/partial uploads for large files. File URLs come in configurable formats - UUIDs, dates, random alphanumerics, original names, even zero-width spaces. A built-in URL shortener adds vanity slugs, passwords, view caps, and custom domains. Discord embeds are first-class: customize OG metadata titles, descriptions, and colors so links unfurl exactly how you want, and fire fully customizable Discord or HTTP webhooks on each upload. Authentication is serious: OAuth2 (Discord, GitHub, Google, OIDC), TOTP two-factor, and passkeys, with invite-based registration and per-user quotas for shared instances. Storage targets local disk or any S3-compatible backend, a full REST API automates everything, and custom themes plus a PWA round out the experience.

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Kan

What Trello fans wanted Trello to stay: Kan (kan.bn) is a minimalist, frills-free kanban board capturing the original vision before the enterprise pivots - and then adds the things 2025 actually demands. The core is exactly right: drag-and-drop cards across lists, labels and filters to find work fast, comments for discussion on cards, checklists, a detailed activity log tracking every change, and reusable board templates. Workspaces gather your team with member invites and role management, and board visibility controls decide who can view or edit each board. Migration is first-class: a built-in Trello importer brings existing boards over, so switching costs an afternoon, not a quarter. The standout differentiator is the bundled Model Context Protocol server exposing 46 tools across workspaces, boards, lists, cards, comments, checklists, labels, and members - meaning Claude Desktop, Cursor, Copilot, or any MCP client can read and manage your boards in natural language: "move everything assigned to me into Done" becomes a sentence, not a click marathon. The stack is modern TypeScript - Next.js, tRPC, Drizzle ORM over PostgreSQL, Better Auth (credentials or OAuth), Tailwind - with optional SMTP email and S3 file storage. Unlimited boards, lists, and cards; AGPL-licensed.

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Dagster

With nearly 16,000 GitHub stars, 5.7 million monthly PyPI downloads, and 400+ contributors, Dagster is the most widely adopted asset-centric data orchestration platform — replacing task-oriented schedulers like Apache Airflow with a declarative model where every pipeline is defined as Python functions producing data assets such as tables, datasets, machine learning models, and reports. The built-in asset graph provides automatic lineage tracking across your entire data platform, showing exactly how data flows from ingestion through transformation to downstream consumption in a single unified view. Declarative Automation goes beyond cron scheduling with event-driven conditions that intelligently trigger materializations based on upstream freshness, data quality signals, and dependency state. The integrated data catalog auto-generates documentation from asset metadata, ensuring it never drifts out of sync with production. Native first-class integrations connect dbt, Snowflake, BigQuery, Databricks, Fivetran, Airbyte, Spark, Great Expectations, Tableau, Power BI, AWS, GCP, and Azure without custom glue code. The web UI visualizes asset graphs, run history, schedules, sensors, and partitioned materializations with built-in alerting via Slack and PagerDuty. Dagster Pipes enables executing arbitrary code in external environments including Spark clusters, Kubernetes Jobs, and cloud functions. Deploy via Docker Compose on a single VM with separate containers for the webserver, daemon, and code locations, or use official Helm charts for production Kubernetes with K8sRunLauncher scaling each run as an independent Job. 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.

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Nanobot

With over 46,000 GitHub stars, nanobot is the ultra-lightweight personal AI agent framework that delivers full agentic capabilities — tools, persistent memory, multi-agent workflows, scheduled automation, and 10+ chat channel integrations — in approximately 4,000 lines of readable Python core code. The agent loop receives messages from any connected channel, builds context from session history and long-term memory files, calls the configured LLM provider, executes requested tools, and publishes replies back to the originating channel. Supported LLM providers include OpenAI, Anthropic, Google Gemini, DeepSeek, Qwen via DashScope, Moonshot/Kimi, Ollama, vLLM for local models, and any OpenAI-compatible API through OpenRouter or LiteLLM. Chat channels connect the agent to Telegram, Discord, Slack, WhatsApp, Feishu/Lark, DingTalk, Email via IMAP/SMTP, QQ, Matrix with end-to-end encryption, Mattermost, and the built-in browser WebUI served from the published Python wheel with no separate frontend build. Built-in tools include filesystem read/write/edit, shell execution with configurable sandboxing via bubblewrap, web search and fetch with SSRF protection, MCP server integration, cron scheduling, image generation, and subagent spawning for parallel task delegation. The Dream memory system consolidates session history into persistent markdown files for long-term context retention across conversations. Deployment runs as a CLI agent, a persistent gateway server, a Docker container with Docker Compose, or an OpenAI-compatible API server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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Polar

Used by Tailwind Labs and recognized as an official GitHub funding partner, Polar is the open-source billing infrastructure that lets developers ship production-ready monetization in hours instead of weeks. Meter tokens, API calls, agent runs, GPU seconds, and storage with event-level precision, then compose usage billing with subscriptions, seats, credits, trials, and discounts into whatever pricing model your product requires. As Merchant of Record, Polar handles sales tax, VAT, chargebacks, receipts, and regulatory compliance across all supported countries so you receive clean payouts without building tax infrastructure. Integrate via the full REST API with official SDKs for JavaScript, Python, PHP, and Go, plus framework adapters for Next.js, Astro, Remix, SvelteKit, and Laravel enabling checkout integration in minutes. Automatically deliver benefits upon purchase including GitHub repository access, Discord roles, license keys, file downloads, and meter credits through configurable automation rules. The built-in customer portal provides subscription management, payment method updates, invoice history, and benefit access with full white-label branding. Monitor revenue, costs, and margins through real-time analytics dashboards showing the unit economics every AI startup needs to scale. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache License 2.0 licensed.

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ToolJet

Retool's job, self-hosted: ToolJet is an open-source low-code platform for building internal tools, dashboards, and admin panels. Apps are assembled in a drag-and-drop visual builder with 60+ responsive components, including tables, charts, forms, and lists, and connected to 80+ data sources: PostgreSQL, MySQL, MongoDB, REST and GraphQL APIs, cloud storage, and common SaaS tools. When visual configuration is not enough, you can run JavaScript or Python inline for queries and transformations. A built-in no-code database (ToolJet Database) covers apps that need their own tables without provisioning an external database, Workflows add node-based automation for background jobs with dedicated worker containers and a Redis-backed queue, and multi-page apps with multiplayer editing, inline comments, and mentions support team development. Security is designed for internal data: credentials are AES-256-GCM encrypted, data flows proxy-only through your server so database contents never reach a third-party cloud, and granular per-app access control plus SSO gate each tool. Where Retool-style platforms bill per builder and sometimes per end user, the self-hosted Community Edition serves unlimited builders and users at hosting cost, and full source availability means the platform itself can be forked, audited, and extended. The stack is Node.js and React on PostgreSQL, deployed via Docker.

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Label Studio

Images, text, audio, video, HTML, PDFs, and time series, labeled in one tool with a standardized output format: Label Studio is the open-source data labeling platform for building training datasets. Computer vision tasks cover classification, object detection (boxes, polygons, ellipses, keypoints), and semantic segmentation; audio work spans transcription, speaker diarization, and emotion recognition; NLP handles named entity recognition and document classification with taxonomies up to 10,000 classes; and GenAI workflows support LLM fine-tuning data and RLHF response ranking. Labeling interfaces are fully configurable with an XML-like templating language, so the UI matches the task instead of the reverse. The ML backend SDK turns any model into a connected web server for pre-annotation (model predicts, humans verify), interactive labeling (real-time predictions as annotators draw regions or highlight text), and model evaluation - cutting annotation time dramatically on large datasets. Data imports from S3, GCS, or file uploads; the Data Manager filters and explores tasks; exports convert to the format your ML library expects via label-studio-converter. Multi-user accounts tie every annotation to its author, and webhooks, a Python SDK, and REST API embed labeling into any pipeline. Self-hosting keeps proprietary training data - often a company's most sensitive asset - entirely on your infrastructure.

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Omni Tools

The ad-riddled "free online tools" sites people paste sensitive text into and upload confidential PDFs to - OmniTools replaces that whole ecosystem with one self-hosted app. It bundles 50+ utilities behind one clean React/TypeScript interface: image tools (resize, convert, crop, edit), video and audio tools (trim, reverse, convert), PDF tools (split, merge, edit), text and list utilities (case converters, formatters, shufflers), plus date/time, math, and data-format helpers for JSON, CSV, and XML. The architectural decision that makes it trustworthy is that all file processing happens entirely client-side in the browser - the server only serves static assets, and nothing you process ever leaves your device. That design has a pleasant side effect: the host needs almost no resources (people run it on a Raspberry Pi Zero), because your browser does the work while the server just delivers files. The Docker image is a remarkable 28 MB, making it one of the fastest apps to deploy and cheapest to keep running. There are no ads, no tracking, no accounts, and no upload limits. With multi-language support and an MIT license, it works equally well as a personal toolbox or a team-wide internal utility portal - one URL that replaces a bookmark folder full of questionable converters. Actively developed with 50 contributors and 9,500+ GitHub stars.

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Etherpad

In continuous open-source development since 2009, Etherpad is the original really-real-time collaborative editor - used by Wikimedia, governments, EU public-sector institutions, and tens of thousands of self-hosters. Its core idea is visible authorship: every keystroke is attributed with author colors, every revision preserved, and the timeslider lets you scrub through a document's entire history character by character. Multiple people type into the same pad and see each other's changes instantly - it scales to thousands of simultaneous editors per pad. The base install is deliberately lightweight; capability comes from roughly 290 plugins installable from the admin web UI: comments, images, tables, drawing, video chat via WebRTC, math rendering, code highlighting, and authentication via OAuth, LDAP, or OpenID. AI is pointedly a plugin, not a default - you choose the model and infrastructure, or never turn it on. There is no telemetry. For integrators, an HTTP API (with OpenAPI definitions at /api/openapi.json) manages pads, users, and groups for embedding in your own applications, and the ueberDB abstraction layer supports PostgreSQL, MySQL, Redis, MongoDB, and SQLite backends. Full data export is built in, the format is open, it is translated into 105 languages, and it runs on anything from a Raspberry Pi to a server farm. Apache 2.0 licensed, Node.js based.

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Hanko

Backed by 9,000+ GitHub stars and developed by a Germany-based team with deep FIDO2 expertise, Hanko delivers the open-source authentication platform that replaces Auth0, Clerk, and Firebase Auth with a passkey-first architecture built on phishing-resistant WebAuthn credentials. The Go backend exposes both public and administrative HTTP APIs handling passkey registration and login, password authentication, email passcodes, TOTP-based MFA, security key verification, server-side sessions with remote revocation, and JWT issuing with configurable expiry and refresh policies. OAuth SSO connects Apple, Google, GitHub, Microsoft, and custom OIDC providers, while SAML Enterprise SSO integrates corporate identity providers for single sign-on across the organization. Hanko Elements provides framework-agnostic web components that embed complete onboarding, login, and user profile flows into any application with two lines of code, fully customizable via CSS variables and supporting i18n with custom translations. The JavaScript frontend SDK handles API communication, credential management, and session state for teams building custom authentication UIs without the pre-built components. Webhooks notify external services of authentication events including user creation, login, email verification, and password changes. Privacy-first design principles enforce data minimalism with user-deletable passwords and configurable identifier strategies supporting email-only, username-only, or combined approaches. Docker deployment starts the backend with PostgreSQL or MySQL, serving both APIs on configurable ports. 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 (backend) / MIT (frontend) licensed.

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PilotDeck

PilotDeck introduces a WorkSpace-first architecture where each project receives its own isolated file system, memory store, and skill set, preventing context bleed between parallel tasks. White-box memory makes generation, extraction, storage, and retrieval fully visible, letting users audit, edit, pin, and rollback individual entries when the agent misremembers, while Dream Mode consolidates memory fragments during idle windows. Smart Routing auto-detects task difficulty and sends complex calls to flagship models like Claude Sonnet or GPT-4o while routing simple requests to lighter models, achieving claimed 70% cost savings through on-device and cloud co-orchestration with TokenSaver tiering and sticky session binding. Always-on background execution keeps agents running after the user closes the browser, with Discovery and Cron-based scheduling for recurring workflows. The platform natively supports the Model Context Protocol for first-class MCP server integration, community skills via ClawHub on npm, lifecycle hooks intercepting PreToolUse and UserPromptSubmit events, and custom memory store providers. Multi-provider fallback automatically switches to backup providers on timeout or rate-limit errors. The WebSocket and HTTP gateway serves web, CLI, desktop, and Feishu IM channels from a single configuration. 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.

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Krayin CRM

Krayin CRM gives sales teams a visual Kanban pipeline where leads flow through configurable stages — new, contacted, qualified, proposal, won, lost — with deal values tracked per stage, drag-and-drop transitions, and AI-powered document import that extracts contact details from uploaded PDFs, DOCs, and images without manual data entry. Built on Laravel 12 with a Vue.js frontend and MySQL database, the platform delivers complete customer lifecycle management through a two-stage contact model separating unqualified Leads from qualified Persons linked to Organizations, with a unified timeline displaying associated activities, notes, emails, and deals. The activity module schedules calls, meetings, and tasks on a drag-and-drop calendar with reminders and team assignment. A built-in product catalog supports line-item quoting with pricing and quantities. Email integration connects via SMTP, IMAP, and SendGrid parsing, linked to leads and contacts automatically. Workflow automation triggers actions on conditions and pushes events to external systems via webhooks. The dashboard visualizes pipeline performance, top customers, top products, and email engagement with pie charts and trend widgets. Custom attributes add text, number, date, boolean, and dropdown fields to any entity. Role-based ACLs manage team permissions per module. Extensions add multi-tenant SaaS, WhatsApp lead generation, and VoIP calling. Deploy via Docker Compose. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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Faved

Large link collections stay fast and organized in Faved, a private, self-hosted bookmark manager built for exactly that job. Its core is a nested tagging system that outgrows flat folders: place Go and Python under Programming Languages, color-code tags, add descriptions, pin frequent ones to the top of the sidebar, and optionally roll up child-tag items into parent views. Saving is frictionless - a lightweight bookmarklet works in any desktop or mobile browser without extensions, and Apple devices can send links through the native Share menu. Faved fetches titles, descriptions, and preview images automatically, keeps that metadata fresh over time, and flags duplicates as you save. Instant as-you-type search, flexible sorting, and bulk actions (retag, delete, refetch) keep collections of any size manageable, while customizable layouts - card, list, or table - plus a system-synced dark mode adapt the interface to your workflow. Migration is first-class: import from Chrome, Safari, Firefox, or Edge with folder structure preserved, or move from Pocket and Raindrop.io keeping tags and collections. The stack is deliberately light - PHP 8 with SQLite behind a React/Tailwind frontend - deploying via Docker with no external dependencies. All data stays local: no ads, no tracking, and no risk of your library vanishing with a discontinued service.

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Nhost

Backed by 9,200 GitHub stars and venture funding led by Nauta Capital, Nhost is the open-source Firebase alternative that replaces Google's proprietary document store with a relational PostgreSQL foundation from day one. The Hasura integration auto-generates a real-time GraphQL API with subscriptions, role-based permissions, and remote schemas from your PostgreSQL tables, while event triggers and cron triggers automate backend workflows without custom infrastructure. Authentication supports email and password, magic links, phone OTP via SMS, social OAuth providers including Google and GitHub, WebAuthn for passwordless login with Face ID, fingerprints, and YubiKeys, plus two-factor authentication. Since the Q1 2026 release, Nhost Auth also functions as a full OAuth2 and OpenID Connect provider, allowing your Nhost project to issue tokens to third-party applications the same way GitHub or Google do. The S3-compatible storage service handles file uploads with automatic image optimization, virus scanning, and presigned URLs for secure direct downloads. Node.js serverless functions deploy JavaScript and TypeScript backend logic without managing servers, while the Nhost CLI spins up the complete local stack via Docker for development with automatic database migration tracking and Hasura metadata management. The MCP server integration exposes project documentation and data schemas to AI assistants for intelligent query building. SDKs cover JavaScript, TypeScript, React, Vue, Next.js, and Dart for Flutter. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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EverShop

Magento's extensibility without PHP, Shopify's polish without the platform tax: EverShop is the TypeScript-first e-commerce platform built on that promise. Architected as a modular monolith on Node.js, it organizes every piece of business logic - catalog, checkout, customers, your custom extensions - into modules that plug in without touching core code, extended through a disciplined set of mechanisms: registry processors for transforming data across modules, hooks that wrap function calls, async event subscribers (product created, order placed), and route middleware. The storefront and the fully-featured admin panel are both React with server-side rendering and hydration, giving fast first paint and SEO-friendly pages, while a typed GraphQL API (plus REST endpoints) serves exactly the data each view needs - the same API that powers headless and PWA builds. Standard commerce is covered: product management with variants and attributes, category navigation, cart and checkout, order and customer management, coupons, and a theme system built on React components and Tailwind for deep storefront customization. PostgreSQL is the default database, deployment is Docker-friendly with near-zero configuration, and the GPL-3.0 license means the entire stack - types, resolvers, and checkout flow included - is yours to read and modify.

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Conductor

Originally built at Netflix to orchestrate microservices powering 230 million subscribers and now trusted in production at Tesla, LinkedIn, and J.P. Morgan, Conductor is the most battle-tested open-source workflow engine available — with 32,000 GitHub stars and horizontal scalability to billions of executions. The architecture cleanly separates orchestration from business logic: workflows are defined in declarative JSON while workers execute tasks in any of seven supported languages (Java, Python, Go, JavaScript, C#, Ruby, Rust) with zero framework constraints. Durable execution persists every state transition, enabling automatic retries, configurable timeouts, crash recovery, and instant replay from any failure point without re-executing completed tasks. Native AI agent orchestration supports 14+ LLM providers (Anthropic, OpenAI, Google Gemini, AWS Bedrock, Mistral, Cohere, HuggingFace, Ollama), MCP tool calling, function calling, human-in-the-loop approval gates, and vector database integration (Pinecone, pgvector, MongoDB Atlas) for RAG pipelines. Deploy with your choice of five persistence backends (PostgreSQL, Redis, MySQL, Cassandra, SQLite), six message brokers, and Elasticsearch or OpenSearch for workflow indexing — all configurable via Docker Compose files included in the repository. The built-in web UI provides workflow visualization, execution monitoring, task queue inspection, and manual intervention controls. 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.

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