FastGPT lets you build production AI agents and knowledge base chatbots through a visual drag-and-drop workflow editor, connecting any LLM provider to your documents with retrieval-augmented generation that cites sources and reduces hallucination. The workflow canvas chains LLM calls, conditional branching, HTTP requests, code sandbox execution, and plugin nodes into complex conversation flows and agent skill pipelines without writing backend code. The knowledge base engine ingests documents in ten formats (TXT, Markdown, HTML, PDF, DOCX, PPTX, CSV, XLSX, URL scraping, and CSV batch import) then applies automatic chunking, hybrid vector retrieval with semantic reranking, and QA-pair splitting to deliver accurate, citation-backed answers. FastGPT connects to virtually any LLM provider through its AI Proxy aggregation layer: OpenAI GPT-4o, Anthropic Claude, Google Gemini, DeepSeek, Qwen, ERNIE Bot, and models hosted via Ollama all work through a unified OpenAI-compatible API. Bidirectional MCP support enables agents to call external tools and expose their own capabilities to other systems. Completed applications can be shared via login-free links, embedded as iframe widgets, or integrated with WeCom, Lark, DingTalk, and WeChat Official Accounts through the published REST API. Application operation logs, conversation annotation, and per-model usage analytics provide full lifecycle governance for compliance-sensitive deployments. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. FastGPT Open Source License (Apache 2.0 based) licensed.

Schema design with no account and a few clicks: drawDB is the browser-based entity-relationship diagram editor and SQL generator - an AGPL-3.0 React project with over 37,000 GitHub stars. Draw tables with columns, data types, defaults, and constraints; connect fields to create foreign-key relationships; group tables into labeled subject areas; and annotate with notes. When the design is ready, one export produces CREATE TABLE DDL - with constraints, indexes, and foreign keys - targeted at MySQL, PostgreSQL, SQLite, MariaDB, SQL Server, or Oracle. Diagrams can be database-specific, unlocking every native type plus dialect features like PostgreSQL enums and composite custom types, or generic for portability across all supported flavors. The reverse direction works too: paste existing DDL into the import dialog and drawDB renders your live schema as a navigable diagram - the fastest way to document an inherited database. Versioning and migration-script generation track schema evolution, full editor ergonomics (undo/redo, copy/paste, duplicate, themes) keep iteration fast, and diagrams export as PNG, SVG, or shareable JSON. Everything runs client-side against browser storage - no backend database connection needed - so the self-hosted Docker deployment is a featherweight static app that keeps proprietary schema designs entirely on your infrastructure.

Private npm packages without shipping code to the public registry or paying for npm Enterprise: Verdaccio is the standard lightweight, zero-config private registry and caching proxy. It runs as a single Node.js process with its own tiny embedded database; no external database is required to start. Point npm, yarn, or pnpm at it and everything behaves as expected: install, publish, unpublish, dist-tags, and deprecation all work against the standard npm endpoints. The uplink system is where it earns its keep: packages not found locally are fetched from configured upstreams (npmjs.org, yarn, JFrog, Nexus, or another Verdaccio), cached as tarballs, and served locally thereafter - cutting CI latency and surviving registry outages. Multiple uplinks chain for failover, and per-package glob patterns in config.yaml route scopes to specific upstreams while controlling access, publish, and unpublish rights per group. You can even override a public package by publishing a patched version under the same name locally. A plugin architecture swaps in auth backends (htpasswd default, LDAP and others available), storage drivers (S3, Google Cloud Storage), middleware routes, and metadata filters. With official Docker images and a Kubernetes Helm chart, it slots into any pipeline in minutes.

DB-GPT lets a team talk to its data: ask a business question in plain English, and an AI agent plans the work, writes the SQL, runs it, and hands back charts and a written report. Connect MySQL, PostgreSQL, SQL Server, ClickHouse, DuckDB, Doris, StarRocks, or MaxCompute, or drop in CSV and Excel files, including several at once. Every step appears in a live task view with its query, result table, code, and console output, and the agent pauses to ask clarifying questions, with answer options, when the data cannot settle the matter. Reusable skills package proven procedures, including CSV analysis, SQL analysis, and financial report analysis, and a skill creator helps write new ones. Code executes in a sandbox, parallel sub-agents split larger jobs, and an agentic knowledge-base search answers questions over uploaded documents. Scheduled tasks run saved conversations on a cron timetable with on/off switches and execution history, while MCP connectors link tools like Notion, Linear, Tavily, and GitHub. Pick OpenAI, DeepSeek, Qwen, SiliconFlow, Ollama, or vLLM for the model, then use the application and AWEL workflow tools to build data apps of your 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.

With 3,900 GitHub stars, 140 contributors, and 380 releases since its 2022 launch, Grafana OnCall delivers developer-friendly incident response that routes alerts from any monitoring system to the right engineer at the right time through the right channel. The platform accepts alerts via unique API URLs from Alertmanager, Grafana Alerting, Zabbix, Datadog, Pagerduty-compatible sources, Jira, inbound email, and generic HTTP webhooks, then applies routing templates to direct each alert to the appropriate escalation chain. Escalation chains define notification sequences — notify the primary on-call via Slack, wait 5 minutes, escalate to SMS and phone, wait 10 minutes, page the secondary on-call and notify the engineering manager — continuing until acknowledgment or resolution. On-call schedules support multi-layer rotations with overrides, shift swaps, and timezone-aware handoffs rendered directly inside Grafana dashboards. ChatOps integration publishes alert groups to Slack channels and Telegram groups with interactive buttons for acknowledge, resolve, and silence actions. Template engines based on Jinja2 control alert grouping, appearance rendering, and behavioral automation. The REST API enables programmatic management of integrations, schedules, and escalation policies. Deploy via Docker Compose with PostgreSQL, Redis, and Celery workers alongside your existing Grafana instance. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GNU AGPL v3 licensed.

Every prompt your application sends is a small buying decision, and OrcaRouter Lite makes it a smart one instead of a habit. Point your app at one OpenAI-compatible endpoint on your server, and each request is shopped across the providers whose keys you hold: OpenAI, Anthropic, Google, xAI, DeepSeek, and dozens more. Send model set to auto and the router picks the cheapest model that can actually do the job, checking whether the request needs tools, vision, or JSON mode before it commits your money. Prefer a different tradeoff and you can switch the whole gateway between balanced, cheapest, fastest, and quality strategies, with quality picks driven by real benchmark scores rather than vibes. Clients that speak Anthropic's or Gemini's native protocols connect directly too, so Claude Code, the OpenAI SDK, and google-genai all land on the same routing pipeline. Streaming responses flow through untouched, and every answer reports which model really served it. The built-in dashboard shows recent requests, spend, latency percentiles, unreachable providers, and a savings tile that tells you what your traffic would have cost if you had blindly used a flagship model for everything. Your provider keys stay encrypted on your own box, your analytics never leave it, and if every local provider has a bad day, the hosted OrcaRouter can step in as a failover safety net. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Describe a component in natural language and watch it render: OpenUI, from Weights & Biases, is an open alternative to Vercel's v0. Type a prompt like "a dark-themed dashboard with a sidebar and charts" and the LLM renders working HTML with Tailwind styling live in the browser. You then iterate conversationally, asking for changes until the design is right, and convert the result to React, Svelte, or Web Components for use in a real project. The backend is Python with LiteLLM routing, so it works with OpenAI, Anthropic, Gemini, Groq, and Mistral API keys, or fully offline against local Ollama models, including vision models like LLaVA that can generate UI from screenshot input - feed a screenshot and the model reproduces or riffs on an existing interface. Generated markup is inspectable at any point, with light and dark mode toggles, theme selection, and responsive previews across device sizes. The practical effect is compressing the mockup-review-revise loop from hours to minutes: a described layout renders in seconds and iterates through follow-up prompts, and because output converts to real framework code, prototypes feed directly into production codebases instead of staying trapped in a design tool. Self-hosting keeps unreleased product interfaces and prompts on your own server, and LiteLLM routing lets you pick the model per task - a cheap fast model for rough drafts, a stronger one for final passes, or free local models for unlimited experimentation.

With over 24,000 GitHub stars and origins in the MemGPT research paper on virtual context management, Letta has evolved into the leading open-source platform for building AI agents that maintain persistent memory, identity, and continuity across sessions rather than operating as stateless prompt-response loops. The core architecture uses memory blocks — structured, labeled text chunks that reside permanently in the agent's context window — allowing agents to programmatically rewrite their own memory, learn new skills, and improve through a sleeptime dreaming process that runs reflection and memory organization during idle periods. The self-hosted App Server deploys via Docker and exposes a WebSocket API on port 4500, letting the TypeScript Agent SDK connect from any application using local, remote, or cloud backends. Agents support git-versioned memory through MemFS where every memory change is tracked and auditable, multi-agent communication via subagents, scheduled tasks, and integration with messaging platforms including Slack, Discord, Telegram, WhatsApp, and Signal. The platform is fully model-agnostic, routing to OpenAI, Anthropic, xAI, or self-hosted open-weight models through Ollama depending on cost, performance, and data residency requirements. The Agent File format serializes complete agent state — memory, skills, prompts, and conversation history — into portable snapshots. Desktop applications for macOS, Windows, and Linux provide native interfaces alongside the terminal CLI and web chat at chat.letta.com. 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.

Seven million emails from a single binary peaking at 57 MB of RAM: listmonk is a high-performance newsletter and mailing list manager in Go with PostgreSQL as its only dependency - no Redis, no worker processes, no message broker. The project's own production benchmark sent 7+ million emails with the binary peaking around 57 MB of RAM, and throughput exceeds 100K emails per hour on modest hardware. Campaigns run through a multi-threaded, multi-SMTP queue with round-robin delivery, per-server concurrency, retries, and sliding-window rate limiting across providers like Amazon SES, SendGrid, Mailgun, or your own Postfix relay. Subscribers carry custom JSON attributes and are segmented with raw SQL queries, so any audience Postgres can express, listmonk can target. Templates use Go template syntax with 100+ functions for dynamic per-subscriber content, and the Vue dashboard reports opens, clicks, bounces, and unsubscribes with automated bounce processing. A REST API handles transactional email and programmatic control, a built-in media library hosts campaign assets, and CSV or API import migrates lists from hosted platforms. The economics are the headline: where Mailchimp pricing scales with list size, listmonk plus Amazon SES sends the same volume for hosting cost plus roughly $0.10 per thousand emails - commonly a 95% reduction - and your email list, a core business asset, stays on your own infrastructure. AGPLv3-licensed; bring your own SMTP provider for delivery.

Powering over $145K monthly recurring revenue as a one-person company and holding 34,000+ GitHub stars, Postiz has emerged as the most widely adopted open-source alternative to Buffer, Hootsuite, and Hypefury — combining social media scheduling with AI-driven content creation and agentic automation in a single self-hosted platform. The Next.js 14 frontend with React 18 and Tailwind CSS delivers a visual calendar and Canva-like design editor, while the NestJS backend orchestrates publishing across 30+ social networks including X, LinkedIn, Instagram, TikTok, YouTube, Reddit, Pinterest, Threads, Dribbble, Discord, Bluesky, Mastodon, and Facebook. Temporal handles durable workflow execution for reliable scheduled posting, retry logic, and background job processing. The built-in AI assistant generates post ideas, captions, hashtags, images, and short videos from natural language prompts — all within a single chat interface. An agentic layer exposes a CLI and MCP server that allow AI agents like OpenClaw, Claude, and ChatGPT to autonomously plan, draft, and schedule posts programmatically. Team collaboration includes role-based permissions, approval workflows, multi-workspace management for agencies, and commenting on scheduled content. A full REST API with a NodeJS SDK, N8N custom nodes, and Make.com integration enables automation pipelines. Analytics track engagement, reach, and growth across all connected accounts from a unified dashboard. The self-hosted stack deploys via Docker Compose with PostgreSQL, Redis, and Temporal pre-wired — no feature limitations compared to the cloud version. 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.

Your racks of hypervisor hosts become one private cloud with Apache CloudStack, the open-source IaaS platform that deploys and manages large networks of virtual machines behind a single web interface and API. One cloud can mix hypervisors side by side, running KVM, XenServer or XCP-ng, and VMware vSphere clusters under the same control plane, each organized into regions, zones, pods, and clusters that mirror your physical datacenters and racks. Administrators provision instances from templates and ISO images, take volume and VM snapshots on schedules, and migrate running instances between hosts in a cluster without downtime. Built-in networking spans isolated and shared networks, VPCs with tiered virtual routers, load balancers with SSL offloading, VPNs, and firewall rules, all exposed both to admins and to end users through separate, customizable interfaces. Multi-tenancy is native: domains, accounts, usage metering, and resource quotas let providers bill departments or customers for what they consume. The 4.22 LTS release strengthens backup and disaster recovery, adds a CSI driver for CloudStack Kubernetes Service, and streamlines VMware-to-KVM migrations for teams consolidating onto open virtualization. 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.

With over 15,000 GitHub stars and nearly nine years of active development, CapRover is the self-hosted PaaS that replaces Heroku's pricing with your own infrastructure while keeping the deploy-and-forget simplicity. The web dashboard manages application lifecycle from deploy through scaling — configure custom domains, environment variables, persistent volumes, instance counts, and nginx templates without touching config files or SSH. The CLI tool enables scriptable deployments with a single command from your terminal or CI/CD pipeline, while webhook-based deployment triggers automated builds from Git pushes. The one-click app marketplace provides over 100 pre-configured services including WordPress, Ghost, PostgreSQL, MySQL, MongoDB, Redis, Grafana, Portainer, and dozens more, each deployed as a Docker container with volumes and environment variables preconfigured. Automatic HTTPS provisions and renews Let's Encrypt certificates for every custom domain with one-click HTTP-to-HTTPS redirects. Under the hood, Docker Swarm orchestrates containers across multiple nodes for horizontal scaling and load balancing, while nginx handles routing with fully customizable EJS-generated configuration templates per application. Deployment supports four methods: CLI push, tarball upload through the web UI, Docker image reference, and Git repository connection. The build system supports Dockerfiles, captain-definition files with build packs, and direct Docker image pulls. NetData integration provides real-time server monitoring dashboards. 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.

Three lab PDFs, a phone photo of a printed slip, and a spreadsheet become one cholesterol trend in Mirobody, a health data engine you host yourself, with the source file behind every number. Upload reports in 23 file types, import an Apple Health export, or connect Garmin, Oura, and Whoop, and every reading keeps a link to the page it was read from. Test names in English, Chinese, Japanese, and other languages resolve offline to LOINC codes and UCUM units, so HbA1c and Glycated Hemoglobin land on one series, and a name it cannot place stays unresolved instead of guessed. Ask questions in plain language and the agent shows each step as it works, charts the trend, and opens the reading and file behind every figure. A health journal turns one typed sentence into coded symptoms, blood pressure readings, and a medication entry, and a denied symptom like no fever is never logged. Genetic exports from 23andMe, AncestryDNA, and WeGene, or a VCF, can be queried by rsID, gene, or region. A care circle lets relatives share their own records on their own terms, and Claude Code, Codex, and Cursor can read your record through the built-in MCP endpoint. Choose OpenRouter, OpenAI, Gemini, Anthropic, or DeepSeek for answers, or keep every model on your own machine. 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.

Originated as Alibaba Group's official internal AI code review assistant serving tens of thousands of developers and identifying millions of code defects over two years before open-sourcing in May 2026 — now at 21,000+ GitHub stars — Open Code Review is the production-hardened platform that proves enterprise-grade code review can be fully open-source under Apache 2.0. The hybrid architecture separates deterministic engineering pipelines (file selection, diff parsing, rule matching for NPE, thread-safety, XSS, and SQL injection across 10+ languages) from LLM-powered agent reasoning with tool-use capabilities including FileRead, CodeSearch, and cross-file context inspection, consuming approximately one-ninth the tokens of general-purpose coding agents while delivering line-level precise comments with severity and confidence scoring. The bundled web dashboard (port 4173) provides review management, findings triage, result browsing, and direct GitHub posting without external dependencies, while the session viewer (port 5483) renders full LLM request/response traces for debugging and auditing. Integration spans GitHub Actions, GitLab CI, GitFlic CI, and Gerrit with delegation mode enabling Claude Code, Cursor, and other AI agents to leverage OCR's engineering logic alongside their own LLM reasoning. Supports OpenAI, Anthropic, Google Gemini, DeepSeek via built-in providers plus Ollama and vLLM for air-gapped deployments. 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.

Inspect a PostgreSQL database right now, without installing pgAdmin or exposing Postgres to the internet - pgweb answers that recurring need. It's a Go application from Dan Sosedoff, a decade in development, shipped as a single statically-linked binary with zero dependencies - the Docker image is essentially just the executable - that puts a clean browser UI in front of any PostgreSQL 9.1+ server. Connect via URL string or host/port credentials, and browse tables, views, and sequences from the sidebar; selecting a table shows its rows immediately alongside tabs for structure, indexes, and constraints. The Query tab executes arbitrary SQL with query history, and the Explain Query button renders the query plan - estimated cost, row counts, execution strategy - which makes pgweb a quick performance-triage tool, not just a browser. Results and entire tables export to CSV, JSON, or XML in a click. Connectivity is more flexible than its size suggests: native SSH tunneling (password or key) reaches databases behind firewalls, server bookmarks make switching instances instant, and an optional multi-session mode handles several databases concurrently. For a RepoCloud stack full of Postgres-backed apps, one pgweb instance is the universal inspection hatch. MIT-licensed, actively maintained.

With over 37,000 GitHub stars and used by teams at Y Combinator, Airbus, and Phantom, PostHog replaces an entire stack of paid analytics tools — Mixpanel, Amplitude, Heap, LaunchDarkly, Hotjar, and Google Analytics — with a single open-source platform where every tool shares a common event layer and user context. Product analytics captures events automatically or via manual instrumentation with HogQL (SQL) access for custom queries, while web analytics provides GA-like dashboards for traffic, conversions, and Core Web Vitals. Session replay records user interactions with DOM snapshots and network waterfall analysis, linking directly to errors and feature flag exposures. Feature flags safely roll out changes to specific cohorts with multivariate support and instant rollback, while experiments run A/B tests with automatic Bayesian significance calculations and revenue attribution. Error tracking captures stack traces linked to session replays and user properties for immediate reproduction context. AI observability monitors LLM generations, traces, token usage, latency, and costs across model versions. The managed data warehouse syncs 120+ external sources including Stripe, Postgres, Salesforce, and HubSpot alongside product events, queryable through a unified SQL editor. An MCP server enables AI agents in Cursor, Claude Code, or VS Code to query analytics and execute SQL directly. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Kill Bill handles the complete subscription billing lifecycle from plan definition through invoice generation to payment collection across any gateway, with 15 years of Fortune 500 production use and 5,600+ GitHub stars behind it. Plans, trials, add-ons, and pricing tiers live in a versioned XML catalog that propagates changes without code deploys. The multi-phase subscription engine manages trial periods, promotional discounts, evergreen billing, usage-based metering, and hybrid pricing models with automatic proration on plan upgrades and downgrades. Automated invoice generation calculates charges, applies credits and adjustments, and triggers payment collection through pluggable gateways including Stripe, Adyen, Braintree, PayPal, and CyberSource. The Java plugin framework extends every billing domain with custom logic for tax calculation via Avalara AvaTax or Vertex, fraud detection through Accertify or Feedzai, and ERP integration without modifying the core. The Kaui admin dashboard gives finance and operations teams account management, subscription controls, invoice views, payment configuration, billing timeline visualization, MRR tracking, advanced search, and full audit history with object-level change tracking. Multi-tenancy isolates billing data across thousands of brands with tenant-specific catalogs, payment configs, and RBAC policies. REST APIs expose every operation with webhook notifications for downstream integration. Deploys via Docker Compose on MySQL or PostgreSQL. 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.

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.