OneDev screenshot thumbnail

OneDev

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.

Deploy
Temporal screenshot thumbnail

Temporal

Powering mission-critical infrastructure at OpenAI, Cursor, Replit, Lovable, Retool, and Snap with over 22,000 GitHub stars, Temporal is the durable execution platform that originated from Uber's Cadence project — built by the creators of AWS SQS, AWS SWF, and Azure Durable Functions with nine years of production-proven reliability. The workflow-as-code model lets developers write business logic in Go, Java, Python, TypeScript, .NET, PHP, or Ruby using native SDKs, while the Temporal Server automatically persists state at every step, replays from failures, retries activities with configurable backoff policies, and manages task queues without developers writing reconciliation logic. Workflows support signals for external event injection, timers for scheduled delays, child workflows for decomposition, and queries for real-time state inspection — all backed by deterministic replay over an event-sourced history that guarantees exactly-once semantics. The Web UI provides visual workflow execution inspection with event timelines, pending activity monitoring, namespace management, and worker health dashboards. Persistence supports PostgreSQL, MySQL, or Apache Cassandra for horizontal scalability, with Elasticsearch or OpenSearch for advanced workflow visibility queries. Multi-cluster replication enables global failover across data centers. The self-hosted stack deploys via Docker Compose with the auto-setup image, PostgreSQL, Web UI, and admin tools — operational within 30 minutes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deploy
OpenAgentCore screenshot thumbnail

OpenAgentCore

OpenAgentCore puts Codex, Claude Code, and MiniMax Code behind one self-hosted Agents API, so your applications start agent sessions through the official OpenAI SDK while the work runs on machines you control. Set OPENAI_BASE_URL to your installation and issue a Project API key, and the same client code that talks to OpenAI now talks to your Core. Each session runs a native harness, exactly as it runs on a developer's machine, with the model provider, model ID, and protocol you configure per harness or per session. Choose where sessions execute: microsandbox nodes you operate, Docker, E2B, or a self-hosted workstation, VM, or container connected by the oac-daemon with a credential scoped to one environment. Idle microsandbox sessions release their compute and resume on a compatible node with workspace files intact, so long investigations do not rent a machine while they sleep. The Web console walks operators through setup, tracks sessions and turns, manages models and credentials, and issues keys, while the separate Core API serves operators and the Agents API serves applications. Durable execution state in PostgreSQL keeps events, results, and schedules recoverable across restarts. Sandbox providers, workspace filesystems, harnesses, and model providers all plug in through defined protocols, so every layer can be replaced on its own. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deploy
mCaptcha screenshot thumbnail

mCaptcha

The CAPTCHA bargain - annoy your users and feed their behavior to Google - gets replaced with economics by mCaptcha. Instead of image puzzles, it uses SHA256 proof-of-work: every visitor's browser silently solves a small computational challenge (via a WebAssembly library) before submitting a form. Humans never notice the milliseconds; bots hammering your site must burn more compute sending requests than your server spends answering them, which makes attacks more expensive than defense - the property that also makes mCaptcha genuine DoS protection, not just bot filtering. Written in Rust, the system is fully automated: difficulty scales with traffic, so challenges stay trivial in normal conditions and harden under attack. The privacy and accessibility wins are structural rather than promised: no tracking, no profiling, no user-pattern data collection, and no visual puzzles that exclude users with visual or cognitive impairments - the design was published in Communications of the ACM. Rate limiting is IP-independent, so users behind NATs, VPNs, or Tor get the same experience instead of endless challenge loops, and proofs resist replay attacks, neutering captcha farms. Migration is deliberately easy: the API is compatible with reCAPTCHA and hCaptcha, making it a drop-in replacement. AGPL-licensed core with proprietary-friendly client libraries.

Deploy
InsForge screenshot thumbnail

InsForge

With 12,600 GitHub stars and 52 releases in under a year of development, InsForge is the fastest-growing open-source backend platform purpose-built for AI coding agents — giving Claude, Cursor, and any MCP-compatible tool direct access to database, authentication, storage, compute, and AI model infrastructure through a single self-hosted stack. The native MCP server exposes every InsForge operation as callable tools, letting coding agents autonomously create database tables, manage user authentication, upload files, deploy edge functions, and ship complete full-stack applications without human intervention. The Model Gateway provides an OpenAI-compatible API that routes requests across multiple LLM providers (OpenAI, Anthropic, Google, and open-source models) with unified billing, rate limiting, and fallback logic. PostgreSQL with pgvector handles both relational data and vector embeddings for RAG pipelines, while S3-compatible storage manages file uploads and static assets. Edge Functions run serverless TypeScript code on Deno with sub-millisecond cold starts for API endpoints, webhooks, and scheduled tasks. The authentication system provides user management, OAuth2 flows, sessions, and magic links with JWT token handling built in. Site Deployment builds and serves frontend applications with automatic SSL and custom domain configuration. The CLI paired with Agent Skills enables terminal-based workflows where agents invoke InsForge operations directly from the command line. Deploy via Docker with PostgreSQL as the only required external dependency. 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.

Deploy
Open-Meteo screenshot thumbnail

Open-Meteo

High-resolution weather forecasts became a free commodity because of Open-Meteo - and this deployment puts the whole open-source engine on your own infrastructure. The public open-meteo.com service aggregates national weather models (NOAA GFS, DWD ICON, ECMWF, Meteo-France, and others) into one consistent JSON interface; self-hosting gives you that same API without rate limits, third-party dependency, or usage metering. The architecture is two cooperating services: the API server exposes forecast endpoints fully compatible with Open-Meteo query parameters - latitude, longitude, hourly and daily variables like temperature, precipitation, wind, and radiation - while a background sync worker downloads fresh weather model data on a configurable interval into a shared persistent volume at /app/data, so forecasts stay current and survive restarts without re-downloading. You control which weather models to mirror, which variables to store, how much historical depth to keep, and how often to refresh - meaning a lean deployment can sync only the model and region you actually query. Responses are plain HTTP/JSON, so integration with dashboards, Home Assistant-style automations, agricultural monitoring, IoT fleets, or any application takes minutes. For anyone making thousands of forecast calls a day, replacing a metered weather API with your own instance turns a recurring bill into a flat infrastructure cost.

Deploy
Keygate screenshot thumbnail

Keygate

Software makers who would rather not rent a licensing backend use Keygate to issue, sell, and enforce license keys from infrastructure they control. You create desktop, SaaS, or hybrid products and sell them as subscriptions, perpetual licenses, perpetual licenses with a maintenance period, trials, or floating concurrent licenses that are checked out, heartbeated, and returned automatically. The admin dashboard manages products, plans, customers, licenses, API keys, webhooks, analytics, audit logs, team members, email templates, and branding, with search, filters, and CSV or JSON export. Your application activates and verifies keys through the license API, enforces per-device or per-user activation limits with grace periods, and can verify Ed25519 signed tokens offline with a public key. Usage metering tracks API calls, storage, bandwidth, or custom metrics against quotas with hourly, daily, monthly, or yearly reset cycles and webhook threshold warnings. Connecting Stripe makes checkout create licenses automatically, follows plan and seat changes with proration, handles refunds and cancellations, sends dunning emails after failed payments, and gives customers a billing portal and self-service license management. Team seats, feature entitlements, purchasable add-ons, scoped API keys, and optional S3-backed release hosting round out the selling stack in one binary with one PostgreSQL database. 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.

Deploy
RushDB screenshot thumbnail

RushDB

RushDB is a database your AI agents can actually understand, because it remembers the shape of everything you write. Send nested JSON and each object becomes a record, automatically linked to its parent, while field names, types, and values are cataloged on every write. Agents introspect that catalog before querying, so they ask questions the data can answer instead of hallucinating tables that never existed. The same records answer five query styles: a JSON query language, SQL over the PostgreSQL wire protocol, Cypher over HTTP or Bolt, Gremlin, and Mongo-style document queries. Vector, full-text, and hybrid search run against the same store, so an agent can find the record that mentions a phrase and the records merely similar to it. Everything ships as one binary with one data directory, speaking HTTP on port 3000, PostgreSQL on 5432, and Bolt on 7687 to the drivers and tools you already use. Point your SDKs, SQL clients, BI tools, or local MCP-connected agents at it, and back it up, replicate it, or restore to a point in time with the engine's own tooling. 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.

Deploy
Posta screenshot thumbnail

Posta

Built as a developer-first alternative to SendGrid, Mailgun, and Postmark, Posta delivers a complete self-hosted email infrastructure platform handling both outbound delivery and inbound reception through a single HTTP API with official SDKs for Go, PHP, and Java. The Go backend processes email through Redis and Asynq with automatic retries, priority queues, and async delivery while PostgreSQL stores templates, contacts, campaigns, and delivery analytics. Outbound features include versioned multi-language templates with variable substitution and stylesheet inlining, bulk campaigns with subscriber targeting and A/B testing per-variant metrics, scheduled timezone-aware delivery with draft/paused/cancelled lifecycle states, email address verification checking syntax, MX records, disposable domains, and role accounts, plus web view links with signed expiring URLs and one-click unsubscribe headers. The built-in SMTP receiver with TLS handles inbound email at your domains, parses messages and attachments, scores spam, and forwards structured payloads to your application via HMAC-verified webhooks with real-time SSE notification streams. The Vue-based dashboard manages templates, SMTP server pools, domains, contacts, API keys, campaigns, and email logs with dark and light mode support while admin-level platform metrics expose delivery rate trends, bounce rate graphs, and latency percentiles alongside Prometheus integration and daily health reports. Deploy via Docker with PostgreSQL and Redis. 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.

Deploy
JupyterLab screenshot thumbnail

JupyterLab

Exploratory data work, teaching material, and research code all live in the same browser tab with JupyterLab, the web workspace of Project Jupyter. Notebooks combine runnable code cells, Markdown, and rich output such as images, JSON, and Vega charts, and they use the same notebook format as the classic Jupyter Notebook. Any Jupyter kernel can execute the code, so Python, R, and other languages share one interface, and code inside plain text files such as Markdown or LaTeX can be run interactively as well. Tabs and splitters arrange documents side by side, and a notebook's cell outputs can be mirrored into their own tab to build a simple dashboard with interactive controls. Code consoles serve as scratchpads linked to a notebook kernel, while full terminals run system shells such as bash on the server. A visual debugger offers breakpoints, a call stack, and a variable explorer for kernels that support the Jupyter debug protocol. Markdown, CSV, and Vega documents show a live preview as they are edited, and built-in viewers handle images, JSON, and PDF files. The Extension Manager installs themes, editors, and renderers from PyPI, and real-time collaboration becomes available by adding the jupyter-collaboration extension. Access is protected by a generated token unless a password is set. 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.

Deploy
CyberChef screenshot thumbnail

CyberChef

GCHQ open-sourced its "Cyber Swiss Army Knife", and CyberChef became the web app security analysts, incident responders, and CTF players reach for when data needs decoding, decrypting, or dissecting. Its interface is four panes: paste or drag input (files up to 2GB), search a categorized library of hundreds of operations, drag them into a recipe with arguments, and read the output. Operations span Base64, hex, and XOR encoding; AES, DES, and Blowfish encryption; classical ciphers from Caesar to Railfence; hashes and checksums; compression; regex and string extraction of IPs, domains, and URLs; timestamp conversion; and parsers for IPv6, X.509 certificates, and more. Recipes chain arbitrarily - convert from a hexdump then decompress, decrypt AES pulling the IV from the cipher stream, or let the Magic operation auto-detect several layers of nested encoding. Auto Bake re-runs the recipe live as input or arguments change, Step executes one operation at a time for debugging, and flow control (forks, subsections, registers) applies different operations to different parts of the data. Recipes save to files or share as URLs encoding the full pipeline. Crucially, CyberChef is entirely client-side JavaScript - nothing uploads anywhere - and self-hosting guarantees an unmodified copy inside your own network, where malware artifacts belong.

Deploy
Artifact Keeper screenshot thumbnail

Artifact Keeper

Artifact Keeper serves as a self-hosted universal software artifact repository that consolidates container images, application libraries, and infrastructure bundles under a unified management control plane. Software development teams can publish and resolve dependencies using their existing build tools, including Docker, Helm, npm, PyPI, Maven, Cargo, NuGet, and Terraform without installing proprietary client plugins. Remote repositories act as transparent pull-through caching proxies for public upstreams like Docker Hub and PyPI, accelerating internal CI/CD build speeds while insulating production pipelines from external registry outages. Virtual repositories combine multiple local, remote, and third-party endpoints into single URLs, resolving packages across prioritized internal teams and public registries automatically. Automated security scanners evaluate incoming packages for Common Vulnerabilities and Exposures using Trivy and Grype engines, assigning letter grades and enforcing quarantine policies to block vulnerable binaries before production release. Administrators can sign package metadata with cryptographic GPG keys, configure peer mesh replication across geographic regions, and manage team permissions using OpenID Connect, SAML, and granular access tokens. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deploy
Browser Use WebUI screenshot thumbnail

Browser Use WebUI

Browser Use Web UI lets you describe a web task in plain English and watch as an AI agent autonomously navigates pages, clicks buttons, fills forms, and extracts information without writing any automation code. Backed by over 16,000 GitHub stars, the Gradio-based interface supports 14+ LLM providers through a unified abstraction layer: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, DeepSeek, and local Ollama models are all configurable via dropdown menus without touching code or environment files. The BrowserUseAgent handles interactive single-task automation with step-by-step LLM decision-making and vision-based page understanding, while the DeepResearchAgent orchestrates multi-step research workflows using Langgraph state machines that spawn parallel browser instances with asyncio concurrency control. Custom browser support connects your existing Chrome profile to preserve logins, cookies, and sessions across agent runs, eliminating re-authentication overhead. Persistent browser sessions maintain complete interaction history between tasks for debugging and demonstration. The Docker deployment bundles Chrome, Playwright, and a VNC server in a single container, exposing the Gradio interface on port 7788 and a noVNC viewer on port 6080 for real-time observation of agent behavior. MCP integration via MultiServerMCPClient enables external tool access. Screen recording captures agent workflows as video for review and documentation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Deploy
Inference Gateway screenshot thumbnail

Inference Gateway

Inference Gateway puts a single OpenAI-compatible API endpoint in front of OpenAI, Anthropic, Groq, Cohere, Ollama, DeepSeek, Google, Mistral, MiniMax, Moonshot, Nvidia, and llama.cpp, so your application code never changes when you switch models or providers. The Go binary starts on port 8080 and normalizes authentication, streaming protocols, and response formats across all backends transparently. Native Model Context Protocol support auto-discovers tools from connected MCP servers and injects them into LLM requests without client-side management, enabling server-side tool execution across any provider that supports function calling. Agent-to-Agent protocol integration allows distributed agent communication through a declarative Agent Definition Language that generates production-ready Go or Rust servers from a single YAML manifest. The dedicated Kubernetes Operator manages Gateway, Agent, MCP, and Orchestrator custom resources with automatic HPA scaling, OIDC authentication, and service discovery that rebuilds MCP configurations when the discovered server set changes. Prometheus metrics and OpenTelemetry tracing provide full request-level observability across the entire inference pipeline. Middleware controls enable per-request provider selection, model routing, and fallback strategies. Official SDKs in Go, Python, TypeScript, and Rust provide typed client interfaces with streaming support. Docker Compose deployment requires only environment variables for API keys. A CNCF Sandbox applicant. 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.

Deploy
Paca screenshot thumbnail

Paca

Paca is a self-hosted project management platform and Scrumban workspace where autonomous artificial intelligence agents collaborate with human software engineers as first-class Scrum teammates instead of external chat assistants. Engineering teams manage sprints, backlogs, and task lifecycles through a shared real-time board powered by Socket.IO where both humans and agents pick up assignments and post progress updates. A native Model Context Protocol server connects external coding assistants such as Claude Desktop and Claude Code directly into projects, tasks, and sprint data without custom scraping scripts. Distributed agents execute in isolated runtime sandboxes powered by the OpenHands software development kit, co-authoring behavior-driven development Gherkin scenarios with product owners and maintaining living system design documents. Visual event-driven automation builders compose multi-branch trigger, condition, and action pipelines that evaluate task dependency gates and cron schedules. A sandboxed WebAssembly plugin runtime allows developers to write custom backend logic and custom board views using Go or Rust. 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.

Deploy
Flexprice screenshot thumbnail

Flexprice

Flexprice is a developer-first billing platform built specifically for AI-native and SaaS companies that need usage-based, credit-based, and hybrid pricing models without building custom billing infrastructure. The metering engine ingests millions of usage events in real time through HTTP APIs or SDK calls, supporting sum, count, unique count, latest value, and multiplier aggregation strategies across custom event schemas like API calls, token counts, compute minutes, and GPU time. Credit management handles prepaid wallets with promotional grants, rollover caps, auto top-ups, and priority-based credit application during invoice generation. The pricing engine supports per-unit, tiered, volume, package, and flat-rate models with per-customer overrides, committed minimums, and enterprise contract terms. Feature entitlements enforce boolean toggles, metered usage limits, and configuration values per plan, enabling applications to gate functionality through simple API checks. Automated invoicing calculates charges from real-time usage data with proration for mid-cycle upgrades and downgrades, generating detailed line items linked to tracked consumption. The architecture separates event ingestion through Kafka from billing computation via Temporal workflow orchestration, allowing each layer to scale independently with ClickHouse handling high-performance usage aggregation. Stripe Connect integration processes payments and manages customer payment methods. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

Deploy
Kubero screenshot thumbnail

Kubero

With over 4,300 GitHub stars and a v3 release adding built-in user management, team views, and multi-language support, Kubero has established itself as the most feature-complete open-source Heroku alternative running natively on Kubernetes. The platform operates as a Kubernetes operator with two containers — kubero-ui and the operator — storing all state in etcd without an external database. Developers push code via Git integration with GitHub, GitLab, Bitea, or Gitea, and Kubero automatically builds using Buildpacks, Nixpacks, Runpacks, or Dockerfiles, then deploys to the configured domain with SSL via cert-manager. CI/CD pipelines support up to four staging environments — review, test, staging, and production — with per-stage environment variable isolation and ephemeral review apps that spin up on pull request open and tear down on close. The template catalog includes over 170 pre-configured applications like WordPress, Grafana, and PostgreSQL deployable in one click, while managed add-ons provide highly available PostgreSQL, Redis, MySQL, Kafka, CouchDB, Elasticsearch, and MongoDB alongside your applications. Security features include Trivy vulnerability scanning, GitHub and OAuth2 single sign-on, basic auth, and a role-based permission system with API tokens. The NestJS backend with Vue.js and Vuetify frontend provides application metrics, real-time logs, a built-in web console for container access, scheduled cronjob management, and deployment notifications via Discord, Slack, or webhooks. 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.

Deploy
Hopp screenshot thumbnail

Hopp

Meeting-app screen sharing was built for slide decks, and it shows when two engineers chase a bug across a codebase together; Hopp rebuilds screen sharing for exactly that job. Click a teammate and their screen opens in under a second: no meeting links, no calendar invites, no "can you see my screen?" ritual. Both sides get real keyboard and mouse control with sub-100ms latency, so guests type, click, and navigate instead of dictating instructions. Rooms hold up to 10 people for mob programming, code reviews, and onboarding, all with shared cursors so everyone can point at the line they mean. When words fail, draw or type annotations directly on the shared screen. The stream defaults to 4K, so small fonts and subtle diffs stay readable, and noise-cancelling audio keeps voices clear with no separate call app. You share any application, not just a browser tab, so debugging in Grafana or reviewing a design works as well as editing code. App Veil hides the windows you pick, such as password managers or chat, from the shared screen. Slack starts sessions with one /hopp command, and custom keyboard shortcuts keep frequent actions in flow. The server is yours: a Docker Compose stack with PostgreSQL, Redis, LiveKit, and Caddy auto-TLS serves the web dashboard and media, and the desktop app points at your backend, not a vendor cloud. 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.

Deploy