The project that proved organizations could have Dropbox-style convenience with complete data ownership: ownCloud is the original open-source file sync and share platform - the codebase Nextcloud later forked from. This deployment runs the classic ownCloud Server (PHP over PostgreSQL or MariaDB, with Redis caching), the battle-tested edition trusted across enterprises, universities, and public institutions worldwide. The core loop: store files on your server, sync them via desktop clients for Windows, macOS, and Linux plus iOS and Android apps, and access everything through the web interface or standard WebDAV. Sharing is granular - internal users and groups, external recipients via public links with passwords and expiration dates, and federated sharing that connects separate ownCloud instances into one network. Security controls include file firewall rules, multi-factor authentication, encryption, and detailed audit-friendly lifecycle management with versioning and trash-bin recovery. An app marketplace extends the platform, and Web Office integrations bring collaborative document editing through Collabora Online, OnlyOffice, or Microsoft Office Online directly into your files. LDAP and Active Directory integration slots it into existing identity infrastructure. For teams that need a proven, self-hosted alternative to Dropbox or Google Drive - where compliance demands knowing exactly which disk your data sits on - ownCloud remains a foundational choice.

Scoring 64.4 on the WebBench benchmark — state-of-the-art among browser automation platforms — Skyvern replaces brittle XPath-based scripts with Vision LLM reasoning that adapts when websites change their layouts. The platform extends Playwright with AI-powered page methods including page.act(), page.extract(), and page.validate() that accept natural language prompts while still supporting traditional CSS selectors as fallback. The drag-and-drop Workflow Studio offers 17+ block types including navigation, extraction, login, loops, conditionals, code blocks, file download, and file upload — enabling non-technical users to build complex multi-step automations without writing code. Self-hosted deployments support bring-your-own-LLM with OpenAI, Anthropic, Gemini, and Ollama, while the multi-engine architecture allows swapping between Skyvern 2.0, OpenAI CUA, Anthropic CUA, or UI-TARS per task with a single parameter. Built-in infrastructure handles persistent browser sessions preserving cookies and localStorage across runs, automatic CAPTCHA solving for reCAPTCHA and hCaptcha, anti-bot bypass for Cloudflare and DataDome, residential proxy rotation across 20+ countries, and a credential vault integrating with Bitwarden and 1Password for secure 2FA management. Real-time session livestreaming via WebRTC enables visual debugging, while step-by-step action logs with screenshots and full LLM diagnostic traces provide production observability. The MCP server integration exposes Skyvern as a tool for Claude, Cursor, Windsurf, and any MCP-compatible AI agent. Connect to 6,000+ apps through Zapier, Make.com, or self-hosted N8N workflows. Deploy via Docker Compose or pip install with a two-command setup. 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 15,100 GitHub stars and seven years of battle-tested production use, OneDev replaces entire DevOps toolchains — GitLab, Jenkins, Jira, Artifactory — with a single Java application that runs comfortably on a 1-core 2GB server for medium-sized projects. The platform unifies Git hosting with ANTLR-powered language-aware code search and symbol navigation, pull request workflows with configurable branch protection rules and required reviewers, and customizable issue tracking with scripted state transitions that automatically advance issues when code is committed, builds pass, or deployments complete. The GUI-based CI/CD editor creates pipelines without writing YAML, supporting typed parameters, matrix builds, job templates, cache management, and artifact publishing in a single visual interface. Jobs execute via Docker containers, bare metal shell, Kubernetes pods, or distributed agent pools, with web terminal access for live debugging and the ability to pause running jobs for inspection. Built-in package registries handle Docker images, npm packages, Maven artifacts, NuGet libraries, PyPI wheels, and RubyGems without external infrastructure. AI users can be assigned to issues and pull requests to autonomously implement features, review code, fix CI/CD failures, and resolve merge conflicts. The automated Kanban board supports rule-based card movement, time tracking, timesheets, and service desk ticket creation via email. Cluster deployment enables project replication across servers for high availability and horizontal distribution for scalability. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. 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 15,500 GitHub stars and over 1,100 forks, Plandex delivers a terminal-based AI coding agent purpose-built for the complex, multi-file tasks that overwhelm single-file AI assistants. The Go-powered server maintains a cumulative diff review sandbox that quarantines all AI-generated changes from your project files until you explicitly approve them — enabling 20-file refactors where you cherry-pick good changes and reject bad ones without touching git. A 2M token effective context window loads only what each step requires, while tree-sitter project maps index repositories exceeding 20M tokens across 30+ programming languages, providing structural awareness of class hierarchies, function signatures, and import graphs without burning tokens on full file content. The configurable model pack system assigns different models to different roles — Claude for planning, GPT for coding, Gemini for summarization — supporting Anthropic, OpenAI, Google, OpenRouter, Azure OpenAI, AWS Bedrock, DeepSeek, Perplexity, and Ollama for local models. Full auto mode handles end-to-end autonomous workflows including high-level planning, context loading, implementation, terminal command execution, and automated debugging of both terminal and browser applications. The interactive REPL provides fuzzy auto-complete, version-controlled sandbox branching, rewind to any previous point, and Git integration for commit message generation. The Plandex Server exposes 60+ REST API endpoints for programmatic orchestration across organizations, projects, plans, and branches. Deploy via Docker Compose for self-hosted operation with your own API keys. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

An open-source alternative to Notion and Google Docs developed jointly by France's DINUM and Germany's ZenDiS that prioritizes data sovereignty, real-time collaboration, and structured knowledge management. The Yjs-powered CRDT engine provides live cursors, presence indicators, and inline comments enabling teams to edit simultaneously without conflicts, while BlockNote.js renders a clean block-based editing experience with rich text formatting, Markdown shortcuts, and drag-and-drop content organization. Hierarchical sub-documents create wiki-style knowledge bases where documentation nests naturally into navigable structures, and a dedicated slide mode transforms any document into a presentation without separate tooling. The document API separates content from metadata with distinct endpoints for formatted content, raw content streams, and document properties. Optional AI integration connects to configurable language models for writing assistance, summarization, and content generation directly within the editor. Access control supports granular permissions per document with team sharing, public links, and invitation flows. DOCX import brings existing documents into the platform while maintaining formatting fidelity. The Django backend serves a REST API with PostgreSQL storage, Redis caching, and S3-compatible media handling. Deploy via Docker Compose, Kubernetes with the official Helm chart, Nix, or YunoHost on your own infrastructure. 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 33,000 GitHub stars and a codebase written in 92.9% Rust for maximum performance and memory safety, Tabby is the most widely adopted self-hosted alternative to GitHub Copilot — delivering real-time code completions entirely on your own infrastructure with zero code leaving your network. Deploy a single Docker container on any NVIDIA CUDA, Apple Silicon Metal, AMD ROCm, or CPU-only server and connect VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand), Vim, Neovim, and Emacs through native extensions. The completion engine supports a curated registry of models including StarCoder2 (1B to 15B parameters), DeepSeek-Coder, CodeLlama, CodeGemma, Qwen2.5-Coder, and Mistral Code — swappable at runtime through the admin dashboard without redeployment. Repository indexing parses your Git repositories and feeds project-specific types, function signatures, and patterns into completion context via RAG, producing suggestions that understand your codebase rather than generic boilerplate. The Answer Engine provides instant responses to code queries within the IDE, while inline chat enables contextual code editing and explanation without switching windows. The admin dashboard manages per-developer API tokens, usage analytics, and model configuration. Enterprise features include SSO via LDAP, OAuth, and SAML, role-based access control, and audit logging for compliance environments. A single RTX 4090 workstation serves a team of 10-15 developers with sub-500ms completion latency. 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.

Garden birdsong as a framed collage: Fugleramme draws the species heard right now as hand-cut illustrations from 1800s natural-history plates, for an e-ink panel, a TV, or any browser. The birds come from BirdNET-Go, which can listen on the same machine or elsewhere on the network, so the microphone can stay near the birds while the frame hangs in the living room. Nearly 1200 cut-outs cover over 650 species, none of them AI-generated, and each bird is sized by its real body mass, larger ones toward the centre. The page redraws only when the birds change. Heard nothing in the lookback window? A bare perch appears. Collage mode shows everything heard within a window from 15 minutes to all time, latest-bird mode changes only when a different species calls, and newest-arrival mode holds until a new species turns up. An optional spotlight puts the latest bird in the middle. Spiral or voids layouts rearrange the sheet, and a species limit keeps the most heard or the rarest. Names sit beside the birds or in a poster-style numbered key, in two languages at once from over 40, and a star flags a bird the station has never heard before for its first 24 hours. A web admin page covers display, detector address, and optional password sign-in. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

openGym is a self-hosted gym and body-weight tracker that plans your weekly routines, guides every set with pre-filled weights and rest timers, and keeps your training data on a server you control instead of inside a subscription app. Over 5,600 exercises come with animated demos, searchable by body part and the equipment you own, and you can add custom ones with your own photo or video. Progression follows a rule you pick per routine (linear, Greyskull LP, double, triple, or added time), and each target explains where it came from. Supersets, warm-ups, drop sets, rest-pause, timed planks, and cardio by time and speed all log properly, and plate math shows what goes on each side of the bar. A muscle map shows where your volume went, what is still recovering, and what went untrained, beside estimated one-rep maxes, a year-long heatmap, and body weight charted against your goal. Imports from FitNotes, Strong, and Hevy carry your history over. Several people can share one server, each with a private passkey profile, and an optional admin dashboard handles invite-only signup. An optional AI coach, off by default, drafts routines and suggests changes through your own Anthropic, OpenAI, Gemini, or Ollama endpoint, and nothing applies without your approval. The interface speaks 19 languages. 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.

Kodus AI automates pull request code review with inline AI comments across GitHub, GitLab, Bitbucket, and Azure DevOps, supporting any LLM provider at cost with zero token markup. The multi-service TypeScript architecture deploys via Docker Compose, running an API server, background worker, webhooks service, and React dashboard backed by PostgreSQL with pgvector, MongoDB, and RabbitMQ. Integration covers both cloud platforms and their enterprise flavors (GitHub Enterprise Server, GitLab Self-Managed, Bitbucket Data Center) using standard OAuth flows and webhook signing to keep the review loop entirely inside your network. The platform is model-agnostic with Bring Your Own Key support for Claude, GPT, Gemini, Llama, and any OpenAI-compatible endpoint including locally-hosted models. Custom review rules combine your team's coding standards with requirements pulled from Jira, Linear, and Notion, automatically checking every PR against documented specifications. The CLI enables local reviews against working trees, staged diffs, branches, or specific commits, integrating into CI/CD pipelines as pre-merge gates. Source code is never stored and never used for model training, with all data encrypted in transit and at rest. 1,270+ stars and 129+ releases since March 2025. 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.

Backed by over 8,700 GitHub stars and OpenID Connect certification, Pocket ID delivers what enterprise identity platforms like Keycloak provide but without the configuration complexity — a passkey-only OIDC provider purpose-built for homelabs and small deployments. The core design decision is radical simplicity: no passwords exist in the system, only WebAuthn-based passkeys using hardware security keys, TouchID, FaceID, or device PINs, making phishing attacks structurally impossible rather than merely discouraged. The Go backend built on the Gin framework serves a compiled SvelteKit frontend as static assets, running as a single Docker container with SQLite as the default database and optional PostgreSQL for larger deployments. User management supports manual creation, signup links, and open registration, with group-based access control that restricts which OIDC clients each group can access and attaches custom claims for downstream role mapping. LDAP synchronization pulls users and groups from OpenLDAP or Active Directory, while SCIM support enables automated provisioning from compatible identity sources. Federated client credentials handle machine-to-machine authentication for service-to-service communication patterns. The audit system logs every authentication event with GeoIP enrichment, sends email notifications for sign-ins from unknown devices, and provides one-time login codes for accessing accounts from devices without passkey support. TLS with HTTP/2 is built in, PKCE adds code exchange protection, and OpenTelemetry provides tracing and metrics integration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD 2-Clause licensed.

With 1,200+ GitHub stars since its April 2026 launch, Arkon provides an enterprise-grade knowledge management layer that turns scattered organizational documentation into AI-accessible structured context. The platform runs as a centralized MCP server, compiling your SOPs, policies, technical docs, and institutional knowledge into a versioned wiki with draft-approval workflows, then serving that wiki to Claude Desktop, Claude.ai, Cursor, and any MCP-compatible client through a single permission-scoped endpoint. OAuth 2.1 with PKCE authentication eliminates manual token management — employees authenticate through a browser login while the system discovers endpoints automatically via RFC 8414. The RBAC v2 system supports custom roles with granular permissions, department-scoped AI Skills, workspace isolation, and comprehensive audit logging so every query and access event is traceable. RAG retrieval powered by pgvector embeddings enables AI clients to search across all organizational documents with source attribution, while the AI Skills system lets teams define reusable instruction sets scoped to specific departments or roles. The architecture runs seven Docker containers coordinated by Compose: PostgreSQL with pgvector for embeddings and metadata, Redis for caching, MinIO for document storage, a FastAPI backend, two ARQ async workers for embedding generation and document processing, and a Next.js frontend portal accessible on port 3119. API keys are encrypted at rest with Fernet, and no telemetry leaves the deployment. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. PolyForm Internal Use licensed.

Memory that survives the session: Hindsight extracts facts, entities, and timestamps from everything an AI agent retains, then lets the agent search or reason over it later. Adding it to an existing LLM client takes a two-line wrapper, and more than 60 integrations cover Claude Code, Cursor, LangGraph, CrewAI, and n8n. Every bank also exposes its own MCP endpoint. Retain sends text, images, or files through an LLM that extracts facts, timestamps, entities, and relationships. Recall runs semantic, keyword, graph, and temporal searches in parallel, merges them with reciprocal rank fusion, reranks with a cross-encoder, and trims to a token budget. Reflect reasons across memories for questions that need synthesis, shaped by per-bank skepticism, literalism, and empathy traits. In the background, related facts consolidate into observations that keep exact quotes and proof counts and are refined, never silently overwritten. Mental models and wiki-style knowledge pages hold standing answers that rewrite themselves as the bank learns. Each user, agent, or project gets an isolated bank with no cross-bank leakage, and Memory Defense redacts or blocks secrets and PII against 45 patterns. The Control Plane adds a Recall Analyzer with traces, a memory constellation graph, and a knowledge page editor. Extraction and reasoning can run on 25+ LLM providers, including local Ollama and llama.cpp. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Initiative is a self-hosted, multi-tenant project management platform that organizes projects, tasks, collaborative documents, and schedules into strictly isolated community workspaces without enterprise complexity. Users create distinct communities where data remains strictly partitioned across separate database schemas, allowing agencies, volunteer groups, and gaming guilds to manage multiple client environments from a single deployment. Within each community, initiatives group related projects and documents while interactive drag-and-drop Kanban boards track task progression across custom columns, priorities, and deadlines. Integrated collaborative documents enable team members to co-author notes, project briefs, and meeting minutes in real time with threaded inline discussions and user mentions. Granular role-based permissions let administrators specify exact view and edit privileges down to individual items, while a recoverable trash system prevents accidental deletions from interrupting live operations. Curated marketplace apps supply customizable analytics dashboards, and optional bring-your-own-key artificial intelligence integrations generate task suggestions and summarize lengthy discussion threads. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GNU AGPLv3 licensed.

Tools and applications that already speak S3 can use RustFS as their storage backend, so backup jobs, data pipelines, and services keep working while the data stays on infrastructure you control. A built-in web console on port 9001 manages buckets, object uploads and downloads, access keys, users, groups, and IAM policies, with a status page for cluster health, capacity, and scanner activity. Versioning, Object Lock retention, bucket quotas, and server-side encryption with Vault or AWS KMS backends protect objects once they land. Lifecycle rules expire or transition data, and tiering moves cold objects to remote targets such as Amazon S3 or Wasabi. Bucket replication and site replication keep clusters in sync, and event notifications call webhooks when objects change. Single-node mode suits a lab or small server, while distributed mode adds erasure coding, bitrot protection, background healing, and pool expansion or decommissioning as capacity grows. Sign-in works with local users, OIDC single sign-on, or OpenStack Keystone, and FTPS and WebDAV are available by default, with SFTP and the Swift API as opt-in builds. A preview of S3 Tables exposes an Iceberg REST catalog for tools such as DuckDB and PyIceberg, and a documented migration path moves existing MinIO deployments across. Typical uses include backups, container registries, logs and traces, data lakes, and AI training sets. 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.

Quote to cash in one web application - create quotes, convert them to invoices, record payments, track customers: iDURAR is an open-source ERP and CRM platform for small and medium-sized businesses. Built on the MERN stack (MongoDB, Express, React, Node.js) with Ant Design components and Redux state management, it presents a clean SaaS-style interface that needs little onboarding. Core modules cover invoice management with PDF generation and email delivery, payment recording against invoices, quote and proforma handling, customer records, and accounting views over the resulting data. Multi-currency support and localization make it usable for internationally operating teams. Because the whole stack is JavaScript with an API-first backend, extending it - custom fields, new modules, integrations - is approachable for any Node/React developer rather than requiring a specialist ERP skill set. Deployment is straightforward via Docker with a MongoDB instance. Licensed under AGPL-3.0 with free commercial use; a hosted enterprise version exists but the self-hosted edition is fully functional.

With 5,600+ GitHub stars and deep dbt integration, Lightdash is the open-source Agentic BI platform that treats analytics like software — defining metrics, dimensions, joins, permissions, and caching in a governed context layer that powers dashboards, AI agents, data apps, embedded analytics, and MCP server endpoints simultaneously. The dbt Write-Back feature lets business users create custom metrics and models in the UI, then automatically generates pull requests in GitHub or GitLab so every change flows through code review and CI validation before reaching production. Context-specific AI analysts automatically select relevant models and metrics, build queries, and present insights in plain English, while row-level security, user attributes, and customer-facing permissions ensure data governance at every layer. The platform connects to BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, Trino, and ClickHouse through warehouse adapters, with the TypeScript monorepo built on React, Mantine, Vite, and TanStack Query on the frontend plus Node.js, Express, Knex, and PostgreSQL on the backend. Data teams build analytics with coding agents, preview changes from the CLI, validate in CI pipelines, and review charts and dashboards in pull requests — making the entire analytics lifecycle version-controlled and reproducible. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Why keep a Java runtime on the server just to host Minecraft, when Pumpkin runs from a single native executable and lets Java and Bedrock players share a world? Java Edition clients join on port 25565 and Bedrock clients on 19132, although Bedrock support is still marked work in progress. Builds exist for Windows, Linux, macOS, and Android. On launch, the console reports the worlds loaded and the server ready within milliseconds. Plugins are sandboxed WebAssembly modules that raise console permission prompts and pass signature checks, and authors can write them in Rust, Kotlin, Python, Go, C#, C/C++, D, Zig, or TypeScript. The ppm package manager searches and installs community plugins from the Pumpkin Market, and PatchBukkit loads some Bukkit and Paper plugins, with expected gaps. One pumpkin.toml file holds ports, MOTD, view distance, whitelist, authentication, compression, PvP, chat, resource packs, and world options, while chunks save in Anvil, Linear, or the native Pump format. Velocity and BungeeCord forwarding fit proxy networks, and the Query protocol plus Minecraft Server Management Protocol cover monitoring and remote administration. A public parity tracker lists every vanilla block, entity, item, and command as implemented, partial, or planned, so gaps are easy to spot before a world moves. Today it suits private survival worlds, test servers, and plugin development. It is early software, so the project advises backups. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.