Open Source App Cloud Marketplace
Deploy, host, and scale with one click, at half the cost. Then customize with AI agents.
Agent Gateway
Backed by the Linux Foundation with contributions from AWS, Cisco, IBM, Microsoft, Red Hat, and Shell, Agentgateway is the first data plane built from the ground up for AI agent workloads — providing a unified Rust-based proxy that handles conventional HTTP and gRPC traffic alongside MCP tool servers, A2A agent communication, and LLM inference endpoints through a single deployment. The LLM gateway routes requests to OpenAI, Anthropic, Gemini, AWS Bedrock, and other providers through an OpenAI-compatible unified API with per-tenant budget controls, spend tracking, prompt enrichment, load balancing across multiple model endpoints, and automatic failover when providers experience outages. The MCP gateway federates multiple tool servers behind one endpoint, supporting stdio, HTTP/SSE, and Streamable HTTP transports with built-in OAuth authentication compliant with the MCP auth specification, integrating Auth0 and Keycloak out of the box. OpenAPI integration exposes existing REST APIs as MCP-native tools without code changes, enabling legacy services to participate in agent workflows. Policy-based RBAC controls which agents access which tools, while OpenTelemetry integration provides distributed tracing across agent communication chains. Deploy as a standalone binary with flat YAML configuration or on Kubernetes using the built-in controller with Gateway API support for declarative infrastructure-as-code management. 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.
Mealie
A recipe manager that feels like a consumer product rather than a homelab experiment: Mealie pairs a FastAPI backend with a reactive Vue frontend for the most polished self-hosted meal planning around. The killer feature is the recipe scraper: paste a URL from hundreds of supported cooking sites and Mealie imports the ingredients, steps, times, and photos automatically. Structured HTML/JSON paste, a Markdown-capable manual editor, and imports from other recipe apps (like Tandoor) cover everything else. Meal planning uses a drag-and-drop calendar with breakfast, lunch, dinner, and snack slots, plus rule-based random recipe insertion - constrain the pool by tags or categories per meal type or weekday. Shopping lists link recipes so all ingredients land in one place, organized into supermarket sections, and update in real time for everyone in the household. The multi-tenancy model is genuinely thought through: isolated Groups can host multiple tenants, and Households within a group share recipes and organizers while keeping meal plans and shopping lists private. Cookbooks group recipes by your own criteria, a cooking mode stays readable on a phone propped against the backsplash, and 35+ language translations ship built-in. A fully documented REST API and scheduled webhooks (e.g., today's meal plan to Home Assistant) make it automatable, with SQLite or PostgreSQL storage and automatic backups.
SurrealDB
With 32,800 GitHub stars, 180 contributors, and version 3.2 shipping in July 2026, SurrealDB eliminates the database zoo by unifying document, graph, relational, time-series, geospatial, and key-value data models into a single Rust binary queried through SurrealQL — an intuitive SQL-like language that handles graph traversals, record links, subqueries, and computed fields without switching between multiple database engines. Purpose-built for AI applications, it integrates vector indexing, full-text search, and hybrid retrieval that blends semantic similarity with graph and relational intelligence for context-aware RAG pipelines and recommendation engines. Real-time subscriptions and event-driven triggers push live data changes to connected clients without requiring external message brokers like Kafka. Multi-row, multi-table ACID transactions guarantee consistency while incrementally computed views deliver pre-calculated analytics without batch processing. Role-based access control with record-level permissions, JWT authentication, and multi-tenant isolation enables backend-as-a-service usage where client applications connect directly with fine-grained security. SDKs for JavaScript, Python, Go, Rust, .NET, and Java connect via WebSocket or HTTP APIs. Storage and compute separation allows deployment as an embedded library, a single-node server, or a highly-scalable distributed cluster with TiKV or FoundationDB backends. Deploy via Docker with persistent volumes on any Linux host. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Source-available licensed.
Dawarich
With over 9,000 GitHub stars earned since Google killed its browser-based Timeline, Dawarich fills the gap with a fully self-hosted location history platform that keeps your movement data under your control. Built on Ruby on Rails 8.0 with PostgreSQL and the PostGIS spatial extension for geometry-based queries, Dawarich imports your entire Google Takeout location archive in minutes and begins rendering interactive maps immediately. The visualization engine supports five map layers — heatmaps, points, lines, Fog of War exploration tracking, and a 3D globe view — each powered by Leaflet and spatial SQL rather than browser-side computation. Native iOS and Android apps handle background GPS tracking with offline support, automatically uploading location points when connectivity returns, while third-party integrations support OwnTracks, GPSLogger, Overland, Home Assistant, Traccar, and PhoneTrack. The trip system lets you create route visualizations between any two dates, attach notes, replay travel paths with a timeline scrubber, and share trips publicly with phrase-protected links and per-section visibility controls. Immich and PhotoPrism integrations automatically overlay geotagged photos on your maps and trips, while AirTrail integration renders flight history as arcs. Statistics dashboards break down countries visited, cities explored, total distance traveled, and active days by year and month, with visit detection suggesting places you have frequented. 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.
Langfuse
Backed by Y Combinator and trusted by over 2,300 companies processing billions of observations monthly, Langfuse is the most widely adopted open-source platform for building, monitoring, evaluating, and debugging LLM applications. The hierarchical tracing engine captures every LLM call, tool invocation, retrieval step, and agent action as nested spans based on OpenTelemetry, with automatic cost calculation, latency tracking, and token usage attribution across sessions and users. Prompt Management separates prompts from code with versioned artifacts, label-based deployments, one-click rollbacks, and runtime SDK fetching with server-side caching, while linking every generation back to its exact prompt version for attribution analytics. The evaluation system supports LLM-as-a-judge scoring, heuristic code evaluators, user feedback collection, and manual annotation workflows that run automatically on production traces or against curated datasets. The Playground enables interactive prompt testing on real production inputs with side-by-side model comparison across providers. Datasets and Experiments define test cases for systematic benchmarking with comparative result visualization. Native SDKs for Python and TypeScript provide decorator-based instrumentation, while 100+ integrations cover LangChain, LlamaIndex, OpenAI SDK, LiteLLM, Vercel AI SDK, and any OpenTelemetry-instrumented framework. The analytics dashboard surfaces cost breakdowns, quality scores, latency percentiles, and usage trends across models and prompt versions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Inbox Zero
Your Gmail, Google Workspace, or Outlook inbox, worked by an AI assistant: Inbox Zero sits on top of the account you already have. Its core idea is rules written in plain English - tell the assistant "label invoices and file the PDF to Drive" or "archive cold outreach unless they mention my company" - and it executes against every incoming message. Emails that need a response arrive with a pre-drafted reply written in your tone, learned from your email history and calendar context. Reply Zero tracks what you owe responses to and what you're waiting on; the Bulk Unsubscriber surfaces newsletters you never read (with read-rate analytics) for one-click unsubscribe-and-archive; the Cold Email Blocker auto-archives unsolicited pitches based on your own definition of "cold." Smart Filing routes attachments - receipts, contracts, PDFs - into the right Google Drive or OneDrive folder, and Slack/Telegram integration lets you read, draft, and triage without opening a mail client. Email analytics show top senders and volume trends. It is not a new email client: everything happens in your real mailbox using native filters. Self-hosting means your mail content and the LLM calls that process it run on infrastructure you control.
APITable
With over 15,000 GitHub stars and positioning itself as the most feature-complete open-source alternative to Airtable, APITable combines a buttery-smooth spreadsheet interface with a full database engine and automatic API generation that turns every datasheet into a queryable REST endpoint without writing a single line of backend code. Real-time collaborative editing powered by Operational Transformation algorithms supports 100,000+ rows with multiple simultaneous users, while seven built-in view types — Grid, Kanban, Gallery, Gantt chart, Calendar, Mindmap, and Form — let teams visualize the same data in whatever format suits their workflow. The one-click API panel exposes every table as a documented REST API with filtering, sorting, and pagination, effectively functioning as a backend-as-a-service for frontend developers and automation builders. Robot automation triggers workflows on record changes with integrations into n8n, Zapier, Appsmith, and Slack, while the extensible widget system provides 20+ open-source widgets for custom charts, dashboards, and data visualizations embedded directly into datasheets. Enterprise features include SAML single sign-on, field-level and row-level permissions via Mirrors, organizational team management, audit logging, database auto-backup, and data export. Bi-directional table linking with infinite cross-links creates relational data models across workspaces, and built-in templates cover CRM, project management, inventory, and content planning. 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.
Navidrome
Spotify economics without the subscription or catalog gaps: Navidrome, the reference self-hosted music server, streams your own FLAC, MP3, and ALAC collection from a single Go binary with a React/Material UI web player. Its Subsonic/OpenSubsonic API compatibility is the superpower: 50+ existing clients work out of the box, from Symfonium and DSub on Android to Feishin and Sonixd on desktop, plus Android Auto, CarPlay, and Android TV apps. Transcoding is server-managed and FFmpeg-backed - FLAC direct-plays at home and downsamples to MP3, AAC, or Opus over mobile bandwidth, with the OpenSubsonic transcoding extension letting clients declare capabilities and receive per-track direct-play or transcode decisions automatically. Multi-user support gives every account its own play counts, favorites, ratings, and playlists, and multi-library support scopes different collections to different users. The feature list covers serious listening: Last.fm and ListenBrainz scrobbling, artist bios and images, embedded and external lyrics, audiobook bookmarks, saved play queues that resume on another device, internet radio, jukebox mode, and M3U playlist auto-import kept in sync with your folder. Resource usage is famously low - it runs happily on a Raspberry Pi and scales to six-figure track counts.
Dockhand
Dockhand is a Docker management platforms, offering a modern alternative to Portainer with free OIDC SSO and vulnerability scanning that competitors gate behind paid tiers. Real-time container management provides start, stop, restart, and remove operations with live resource monitoring across CPU, memory, and network usage on a dashboard with real-time metrics. The visual Docker Compose editor enables stack creation and modification with syntax highlighting, while Git integration deploys stacks directly from repositories with webhooks and auto-sync for GitOps workflows. Vulnerability scanning powered by Grype and Trivy analyzes container images against CVE databases, with configurable auto-update scheduling that can trigger updates based on vulnerability severity criteria. The Hawser Go agent enables management of remote Docker hosts in Standard mode for LAN environments or Edge mode using outbound WebSocket connections for hosts behind NAT, firewalls, or dynamic IPs without exposing inbound ports. Interactive terminal sessions provide shell access into running containers, while the file browser enables uploading, downloading, and editing files directly within containers. Image management includes registry browsing, pull operations, and layer inspection alongside network and volume administration. The security-focused architecture builds its own OS layer from scratch using Wolfi packages via apko with every package explicitly declared. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL 1.1 licensed, converting to Apache 2.0 in 2029.
Kandev
Kandev provides a command center for orchestrating AI coding agents across parallel workstreams. The Go backend paired with a Next.js frontend delivers kanban boards with drag-and-drop columns, pipeline workflow definitions with per-step agent handoffs, and an IDE-like review workspace combining file editor, file tree, terminal, browser preview, and unified git diffs. Multi-provider support connects Claude Code, GitHub Copilot, Codex, Qoder, Grok, and custom agents through configurable profiles with per-agent prompts, runtimes, and review gates. Tasks execute in isolated git worktrees with multi-repository support, letting agents work on separate branches simultaneously while changes surface in a consolidated review interface. Native integrations with GitHub, GitLab, Jira, Linear, Sentry, and Slack pull external issues into the kanban and link tasks to pull requests. Kandev exposes streamable HTTP and SSE MCP endpoints, enabling external clients — Cursor, Claude Desktop, Augment — to create tasks and read workspace context programmatically. Workflow definitions export as portable YAML for sharing across installations. Agentic workflows chain multi-step pipelines mixing different models per step — Opus for architecture, Sonnet for implementation, with human review gates between stages. 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.
Apache Answer
Graduated as an Apache Software Foundation Top-Level Project with over 15,500 GitHub stars and 100,000+ Docker Hub downloads, Apache Answer delivers the structured Q&A platform that Stack Overflow and Discourse popularized — fully self-hosted under Apache 2.0 with zero vendor lock-in. The Go backend with React frontend serves questions, answers, and knowledge articles with real-time Markdown preview using CommonMark syntax, inline @mentions to ping domain experts, and transparent revision history tracking every edit. Version 2.0 introduced AI workflows including an integrated AI assistant that helps draft and improve answers, a Model Context Protocol server for connecting AI agents to your knowledge base, API key management, and editor plugin support for extending the writing experience. Advanced search filters by tags, usernames, scores, and date ranges, while real-time suggestions surface relevant existing questions as users type to reduce duplicates. The reputation system rewards quality contributions with configurable privilege thresholds, and admin/moderator/user roles control access across the platform. A plugin architecture enables community-built extensions for third-party OAuth login, caching backends, search engines, and storage providers. Theming supports custom layouts, dark mode, and responsive design across devices, with content available in 15+ languages translated by the community. Bulk user import, email domain restrictions, and content access controls secure the platform for enterprise deployment. 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.
Sentry
Backed by 44,000 GitHub stars and trusted by over four million developers, Sentry is the debugging platform that captures errors, traces, replays, profiles, and metrics from your applications and connects them all through distributed tracing. The error tracking engine captures full stack traces with source context, breadcrumbs, and automatic demangling for native crashes, while intelligent grouping consolidates duplicate events into actionable issues with regression detection and automatic assignment. Performance monitoring instruments your frameworks automatically, capturing every database query, API call, cache hit, and queue operation as spans within distributed traces that flow across frontend, backend, and mobile boundaries. Session Replay produces video-like recordings of real user sessions showing DOM interactions, network requests, console messages, and errors on a synchronized timeline, with AI-powered summaries that describe what happened without watching the full replay. Continuous profiling captures CPU execution data at the function and line level for Node.js, Python, iOS, and Android, linking slow spans directly to the exact code responsible. Cron monitoring tracks scheduled jobs for failures, missed runs, and duration anomalies. The alerting engine fires notifications through Slack, PagerDuty, Opsgenie, and webhooks on new issues, regressions, error spikes, or when latency and crash-free session rate thresholds are crossed. Self-hosted deployment runs as a Docker Compose stack with PostgreSQL, ClickHouse, Kafka, Redis, and Relay. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. FSL licensed.
Grafana
The de facto dashboard of observability: Grafana is the open-source frontend that turns the data stores you already run into interactive graphs. It does not store metrics itself; it connects to the data stores you already run and turns their contents into interactive dashboards. Supported sources number over 150 via plugins: Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, MySQL, PostgreSQL, Microsoft SQL Server, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, and many more. Dashboards are built from a large library of panel types (time series, heatmaps, tables, gauges, logs) with template variables for reusable, parameterized views. Unified alerting evaluates rules against any connected data source, not just Prometheus, and routes notifications to Slack, PagerDuty, email, and other channels with grouping and silencing - unlike Prometheus Alertmanager, a single rule can combine a Loki log pattern, a PostgreSQL query result, and a CloudWatch metric. Dashboards serialize to JSON and data sources configure via provisioning files, so the entire observability setup can live in Git and deploy repeatably across environments. Explore mode adds ad-hoc querying outside dashboards, with split view for correlating a metric spike against the matching log lines, and access control spans organizations, teams, folder permissions, and OAuth, LDAP, and SAML integration. Written in Go and TypeScript, AGPL-licensed. Self-hosting gives you unlimited users, dashboards, and queries at flat hosting cost, without Grafana Cloud's usage-based pricing.
Gotify
Real-time alerts from your own infrastructure to your phone, with no Firebase, Pushover, or third-party push service in the path: Gotify is a simple, self-hosted notification server written in Go. The model is deliberately minimal: senders push messages with a single HTTP POST to the REST API, receivers subscribe over a WebSocket stream, and a clean React web UI manages the pieces. Senders are namespaced as "applications," each with its own token, so your backup script, Uptime Kuma, CI pipeline, and cron jobs each get an identity, an icon, and independently revocable credentials - centralized alerting from many services with per-source management. Messages carry a title, body, and priority level that maps to notification importance on the client. The official Android app (on both F-Droid and Google Play, notable for working entirely without Google Play Services) shows push notifications for new messages; the web UI itself supports Web Push in the browser; and gotify/cli pushes messages from shell scripts with one command. A server-side plugin system adds custom behavior, and the whole thing runs as a single small binary with SQLite by default - near-zero resource footprint. Because dozens of tools (and Apprise) speak Gotify natively, it slots in as the notification hub for an entire homelab or ops stack.
DeepTutor
With 34,000+ GitHub stars and a v1.5 release driven by 36 merged community pull requests, DeepTutor from Hong Kong University's Data Science Lab delivers a full agent-native learning workspace that goes far beyond chatbot wrappers. Eight integrated surfaces — Chat, Deep Solve, Quiz Generation, Deep Research, Math Animator, Co-Writer, Book generation, and Mastery Practice — share a unified context so the objective follows the learner, not the tool. The platform's three-layer memory architecture (L1 working, L2 session, L3 long-term) makes personalization inspectable rather than opaque, letting users see exactly what the system remembers and why. Knowledge retrieval operates across five pluggable engines — LlamaIndex with FAISS vectors, PageIndex for page-level citations, GraphRAG for knowledge-graph traversal, LightRAG for local or server-offloaded retrieval, and linked Obsidian vaults — with document parsing via MinerU, Docling, markitdown, or PyMuPDF4LLM. Partners extend the tutoring brain to 15+ messaging platforms including Slack, Discord, Telegram, Matrix with E2EE, and Mattermost, each carrying private memory with branch, resume, and replay capabilities. Subagent integration brings Claude Code, Codex, Gemini, and Kimi directly into learning sessions. The system supports 30+ LLM providers from OpenAI and Anthropic to Ollama for fully local operation, with multi-user isolation, admin controls, and a full CLI interface. 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.
Arcane
Arcane gives you a single polished dashboard to manage Docker containers, images, volumes, networks, and Compose projects across unlimited remote hosts. The SvelteKit frontend paired with a Go backend delivers real-time resource monitoring with historical graphs, container lifecycle controls including shell exec and live log streaming, and one-click Docker Compose deployment with Git repository synchronization for version-controlled stack definitions. The manager-agent architecture connects remote environments via Direct TCP on port 3553 or Edge mode where agents initiate outbound gRPC/WebSocket connections through NAT and firewalls without requiring inbound ports, all secured with mTLS certificates. Vulnerability scanning identifies security issues in running container images directly from the interface. The backup system enables scheduled container snapshots with configurable retention for disaster recovery. Network and volume administration includes visual relationship mapping between services, and the responsive interface supports dark/light themes with full mobile optimization and community-driven internationalization via Crowdin. 6,500+ stars and 89 releases since April 2025 reflect a rapid development cadence. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.
OpenWiki
With over 15,900 GitHub stars and 40,000 weekly npm downloads in its first two months, OpenWiki from LangChain has rapidly become the standard for AI-generated codebase documentation. Built on the Deep Agents framework, it deploys a documentation agent that reads your repository's source code, tests, and configuration, then synthesizes a complete linked Markdown wiki with architecture overviews, integration guides, data-flow diagrams, and validated Mermaid visualizations. Two operating modes cover distinct workflows: code mode generates repository documentation in an openwiki/ folder with automatic AGENTS.md and CLAUDE.md integration for Codex, Claude Code, OpenCode, and Cursor, while personal mode builds a local knowledge base from nine connectors including Notion, Slack, Gmail, X/Twitter, Hacker News, LangSmith, Custom MCP, Web Search, and local git repositories. Thirteen model providers are supported out of the box — OpenAI, Anthropic, Gemini, AWS Bedrock, GitHub Copilot, OpenRouter, Nebius, Fireworks, Baseten, NVIDIA NIM, and any OpenAI-compatible endpoint like Ollama or LM Studio. Grounded Claims track every material assertion back to versioned source evidence, flagging stale propositions before they propagate. The interactive visualizer renders wiki pages as an explorable node graph with a side-by-side Markdown reader, exportable as a static site for GitHub Pages or MkDocs. Self-updating CI workflows via GitHub Actions, GitLab CI, or Bitbucket Pipelines open documentation PRs automatically when code changes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Radar
Radar is an open-source Kubernetes management dashboard and Model Context Protocol server that gives engineering teams complete cluster visibility, automated issue diagnosis, and GitOps controls through a unified web interface. Operators explore live interactive cluster topology maps rendered with automated layout engines, grouping workloads by namespace or custom application labels to trace network communication pathways. The unified event timeline retains Kubernetes activity and state change diffs well beyond default one-hour limits, allowing site reliability engineers to diagnose historical CrashLoopBackOff states and investigate failed deployment rollouts. Teams manage Helm releases by inspecting deployed values, comparing manifest revisions side by side, and initiating rollbacks or upgrades with a single click. The built-in GitOps workspace correlates ArgoCD and Flux applications, surfacing synchronization health, field-level configuration drifts, and automated remediation suggestions. Developers inspect container image filesystems directly from pod detail panels without pulling images locally or establishing interactive terminal sessions, browsing permissions and downloading specific files. Native Model Context Protocol endpoints expose cluster telemetry and operational tools to artificial intelligence coding assistants, enabling external agents to diagnose failing pods and inspect access controls securely. 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.