Nextcloud
Google Workspace and Microsoft 365, replaced by a platform you actually control: Nextcloud is the self-hosted digital workspace. Files is the core: file storage and sync across desktop, mobile, and web clients, with sharing, versioning, and collaboration built in. Around it, Talk provides private text chat, audio/video conferencing with screen sharing, SIP integration, and persistent voice rooms; Groupware bundles calendar, contacts, and mail with delegation support; and Office offers two collaborative suites - the Collabora-based option with deep ODF support, and Euro-Office, whose local-processing architecture delivers strong Microsoft Office compatibility and fast browser rendering with reduced server load. The Nextcloud Assistant threads AI through the platform via a context-aware sidebar, Whiteboard covers visual collaboration, Flow handles automation, and an app ecosystem of hundreds of extensions adds everything from Kanban boards to end-to-end encryption. Hub 26 brings a lighter UI with a unified app switcher and Nextcloud Governance for organizations under strict regulatory requirements. This is the flagship of data sovereignty: your files, chats, calendars, and documents live on your server, under your jurisdiction, with GDPR compliance by architecture rather than by contract.
GPT Researcher
A question goes in; a cited, long-form report comes out - GPT Researcher is an open-source autonomous research agent. A planner agent decomposes the query into sub-questions, execution agents crawl 20+ web sources in parallel with JavaScript-enabled scraping, and a publisher aggregates findings into a 2,000+ word report with inline citations, exportable to PDF, Word, and Markdown. The Deep Research mode extends this recursively: each result yields follow-up questions that are explored to configurable breadth and depth in a tree pattern, while accumulated learnings, citations, and visited URLs are shared across branches. It also researches local documents (PDF, CSV, Word) alongside the web. LLM and search providers are pluggable, including OpenAI, Anthropic, Google, DeepSeek, and Ollama for models, and Tavily, Google, Bing, DuckDuckGo, and SearXNG for retrieval. It ships as a Python package, a FastAPI server with web frontend, a Docker image, and an MCP server for use inside Claude or Cursor. 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.
LobeHub
With over 82,000 GitHub stars and 700,000+ downloads, LobeHub has evolved from its origins as LobeChat into a comprehensive multi-agent AI collaboration platform where humans and autonomous agent teams co-evolve. The platform's Agent Harness architecture functions as an operating system between AI models and applications, handling prompt presets, tool orchestration, lifecycle hooks, planning, filesystem access, and sub-agent management across 25+ model providers including OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Mistral, Groq, AWS Bedrock, Azure OpenAI, and local models through Ollama. Agent Groups enable sophisticated collaboration with sequential, parallel, iterative, and debate orchestration modes, allowing multiple specialized agents to tackle complex workflows simultaneously. The Agent Builder creates production-ready agents from natural language descriptions with auto-configuration, drawing from a marketplace of 505+ pre-built agents and 10,000+ MCP-compatible skills and plugins. Pages provide collaborative document editing with multi-agent co-authoring, while Schedules automate agent runs around the clock without human supervision. The knowledge base leverages PostgreSQL with pgvector for RAG-powered retrieval, and Personal Memory gives agents transparent, editable context that evolves through continual learning. The full self-hosted stack deploys via Docker Compose with PostgreSQL, Redis, RustFS for S3-compatible storage, and SearXNG for private web search, all configurable through environment variables. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. LobeHub Community licensed.
Jitsi Meet
Backed by nearly 30,000 GitHub stars and powering millions of meetings through meet.jit.si, Jitsi Meet is the open-source video conferencing platform that runs entirely in the browser with no plugins or downloads required. The WebRTC-based architecture delivers HD audio and video through the Jitsi Videobridge selective forwarding unit, while Prosody handles XMPP signaling and Jicofo manages conference focus and orechestration. End-to-end encryption uses AES-GCM 128-bit keys exchanged via the Olm protocol, protecting audio, video, and screen sharing through the Insertable Streams API in Chromium-based browsers. Moderators can split participants into breakout rooms with individual password protection, enable lobby waiting rooms for admission control, set meeting passwords, and track speaker statistics with per-participant talk time metrics. Virtual backgrounds leverage TensorFlow.js body segmentation with WebGPU and WebGL acceleration, automatically adapting quality through device tier detection. Server-side recording and YouTube live streaming run through Jibri, while Jigasi provides a SIP gateway for PSTN dial-in and speech-to-text transcription. The platform includes in-meeting chat with private conversations, polls, raise-hand functionality, emoji reactions, and tile and speaker view layouts. Mobile applications for iOS and Android complement the web client, and both web and native SDKs enable embedding video conferences into custom applications. 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.
DroppedNeedle
Self-hosted music requests, no Lidarr install needed: DroppedNeedle searches MusicBrainz, drives your own slskd or Usenet setup, and files only verified, tagged tracks in your library. Request a whole album or a single track, then retry or cancel from a dedicated requests page. The engine queries slskd, or SABnzbd with Newznab indexers or Prowlarr, and scores every candidate before anything downloads. Files must pass checks for readable tags, a sane duration, and an optional AcoustID fingerprint match. Close calls park for admin review. Failed requests are searched again until a verified copy arrives. Quality floors per format and storage caps keep the library tidy, and better copies replace old ones. The built-in player queues Jellyfin, Navidrome, Plex, local files, and YouTube previews with shuffle, a 10-band equalizer, and embedded lyrics. Prefer your own app? Symfonium, Finamp, Feishin, and other Subsonic or Jellyfin clients connect with revocable app passwords. Discovery rows draw on ListenBrainz and Last.fm history and global charts, and a weekly mix can queue up to five missing albums. Follow artists for new-release alerts, or add Ticketmaster or Skiddle keys for gig listings in cities you choose. Import Spotify playlists, or drag in a zip of music you bought. Admin, Trusted, and User roles decide whether a request starts at once or waits for approval. 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.
TimeTagger
Freelancers, consultants, and solo workers get an accurate record of their hours from TimeTagger, a time tracker that logs tagged tasks on an interactive timeline and summarizes them as billable reports. Press S, type a description, and hit Enter to start the clock without the mouse, or drag across the timeline to log finished work. Hashtags in a description become autocompleting tags, with no projects to set up. Renaming a tag updates every record that uses it. Drag a record's edges to fix its times, then zoom the timeline out to a week or month with mouse, touch, or arrow keys. An overview panel totals time per tag combination for the selected range, and the Report button saves it as a client-ready PDF or a CSV with decimal hours. Daily, weekly, and monthly targets track progress toward your goals, and an optional Pomodoro timer alternates work and break periods with an alarm and a notification. Settings add a dark theme, local date notations, a Monday-to-Friday week, and a day offset for night shifts. The interface adapts from desktop to phone, installs as a progressive web app, works offline, and syncs records across devices once the connection returns. A web API and a command-line client let you query, create, and update records from scripts or the terminal. 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.
Filestash
Filestash puts a Dropbox-style web interface in front of the SFTP servers, S3 buckets, SMB shares, and WebDAV storage you already run, so no file has to move. Administrators enable each connector, including FTP, NFS, Git, Dropbox, Google Drive, Storj, IPFS, and Backblaze B2, from one admin console. Colleagues browse, rename, move, and upload in a single folder view, with resumable uploads for big transfers. Thumbnails cover JPEG, PNG, WebP, TIFF, HEIF, and RAW photos. Images open with an EXIF info panel, and PDFs, audio, video, and EPUB ebooks open right in the browser. A CodeMirror editor handles text and code, and HLS transcoding streams video on demand. Outside guests get a shared link instead of credentials, with an optional password, an expiry date, and read, write, or upload-only rights. Limit a link to one email address or a whole domain, or mount it as a network drive. A workflow engine chains emails and HTTP calls after file events, webhooks, or schedules. Flip one admin setting and Claude, ChatGPT, and Mistral Le Chat can use the connected storage as MCP tools. Downloadable file apps add Office documents, 3D models, and GIS maps. Runtime plugins are zip files dropped into the plugins folder. 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.
Headlamp
The Kubernetes project's own answer to cluster management UIs: maintained under SIG UI governance, Headlamp's roadmap tracks Kubernetes releases and its design philosophy reflects community needs rather than a vendor's product strategy. The React interface provides full read-write capabilities adapted to each user's RBAC permissions — delete, scale, edit, and restart buttons appear only when the authenticated user holds the corresponding cluster role, preventing accidental unauthorized actions. Multi-cluster support surfaces workloads across development, staging, and production from a single view without context switching. The plugin architecture drives extensibility through a curated catalog: an AI Assistant plugin answers natural-language cluster queries and performs operations via configurable LLM keys, Flux handles GitOps, Karpenter manages nodes. Integrated terminals provide browser-based exec access to running pods, live log streaming follows container output with filtering, and the YAML editor displays inline Kubernetes API documentation alongside resource definitions. Deployment creation forms let you configure containers, environment variables, volumes, and replicas without writing manifests. Side-by-side cluster comparison views surface differences in workload distribution. Works with any distribution: EKS, GKE, AKS, Minikube, Docker Desktop. Helm chart installation via the Headlamp repository with images on GitHub Container Registry. 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.
Lingarr
When international movies and series arrive in a Radarr or Sonarr library without native-language captions, Lingarr automatically translates subtitle files across dozens of languages using local AI models or cloud translation engines. Connect your existing movie and television directories to scan media folders, identify missing target-language subtitles, and generate translated caption files alongside the original video streams. Administrators can configure an ordered chain of 13 translation backends, pairing a primary engine such as OpenAI, Anthropic, Gemini, DeepSeek, Mistral, xAI, or DeepL with automatic fallback to self-hosted LibreTranslate or local Ollama models whenever rate limits occur. Context-aware prompt templates inject preceding and following dialogue lines into each AI request so idioms, speaker tone, and timing remain natural across scene transitions, while batch translation mode processes multi-line blocks in a single call. From the web dashboard, users can browse indexed movies and episodes, trigger manual single-file or library-wide translations, and monitor active queues, progress percentages, and historical logs in real time. Scheduled background tasks and a documented REST API allow media servers to automate caption generation completely hands-free as new releases finish downloading. 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.
Krayin CRM
Krayin CRM gives sales teams a visual Kanban pipeline where leads flow through configurable stages — new, contacted, qualified, proposal, won, lost — with deal values tracked per stage, drag-and-drop transitions, and AI-powered document import that extracts contact details from uploaded PDFs, DOCs, and images without manual data entry. Built on Laravel 12 with a Vue.js frontend and MySQL database, the platform delivers complete customer lifecycle management through a two-stage contact model separating unqualified Leads from qualified Persons linked to Organizations, with a unified timeline displaying associated activities, notes, emails, and deals. The activity module schedules calls, meetings, and tasks on a drag-and-drop calendar with reminders and team assignment. A built-in product catalog supports line-item quoting with pricing and quantities. Email integration connects via SMTP, IMAP, and SendGrid parsing, linked to leads and contacts automatically. Workflow automation triggers actions on conditions and pushes events to external systems via webhooks. The dashboard visualizes pipeline performance, top customers, top products, and email engagement with pie charts and trend widgets. Custom attributes add text, number, date, boolean, and dropdown fields to any entity. Role-based ACLs manage team permissions per module. Extensions add multi-tenant SaaS, WhatsApp lead generation, and VoIP calling. Deploy via Docker Compose. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Radicale
Calendars, to-do lists, journal entries, and contacts, synced over the open CalDAV and CardDAV standards nearly every client already speaks: Radicale is a small pure-Python server that works with Thunderbird, DAVx5 on Android, Apple Calendar and Contacts, GNOME, and many more. Its defining design choice is radical simplicity: there is no database. Events live as plain .ics files and contacts as .vcf files in an ordinary folder structure, which makes backup a copy command, migration a move, and disaster recovery a matter of reading text files. The server works out of the box with no complicated setup, then grows as needed: flexible authentication (htpasswd files among other methods), per-collection authorization rules, TLS-secured connections, and a plugin system for extending storage, auth, and rights handling. Built-in limits on parallel connections, file sizes, and failed authentication attempts harden it for network exposure behind a reverse proxy. A bundled web interface handles creating and managing calendars and address books - useful since many clients cannot create collections themselves. Maintained since 2011 with 140+ contributors, GPLv3-licensed, and light enough to run on the smallest VPS or a Raspberry Pi.
OpenViking
OpenViking is a self-hosted context database that gives AI agents persistent, structured memory by organizing knowledge, skills, and session history into a hierarchical virtual filesystem accessible through the viking:// URI protocol. Instead of dumping everything into a flat vector store and hoping semantic search finds the right chunks, agents navigate their context with familiar commands like ls, tree, and find, locating exactly the information they need through deterministic paths combined with semantic search. Every resource is automatically processed into three layers: a 100-token L0 abstract for quick filtering, a 2,000-token L1 overview for content navigation, and the full L2 detail loaded only when confirmed necessary. This tiered approach cuts token consumption by 83 to 96 percent compared to conventional RAG while improving task completion rates by 15 to 49 percent on benchmark tests. The built-in memory self-iteration loop automatically analyzes task execution and user feedback, updating agent memory directories so the system continuously learns and improves. You can connect to any LLM provider, including Ollama for fully local inference, OpenAI, or compatible gateways. The Web Studio UI at the /studio endpoint provides visual browsing of the entire context filesystem, and the REST API on port 1933 supports programmatic access. Deploy via Docker, Kubernetes with the included Helm chart, or as a standalone service. 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.
ComfyUI
With over 126,000 GitHub stars and adoption across professional studios, research labs, and independent creators, ComfyUI has become the most widely used node-based interface for generative AI workflows — supporting image, video, audio, and 3D content creation through a single visual canvas. The graph editor natively supports Stable Diffusion 1.5, SDXL, SD3.5, Flux.1, Flux.2, HunyuanDiT, Lumina Image 2.0, HiDream, Qwen Image, and Pixart for image generation, plus Wan 2.1 and 2.2, LTX-Video, HunyuanVideo 1.5, CogVideoX, and Mochi for video, ACE-Step and Stable Audio for audio, and Hunyuan3D 2.0 for 3D models. Built-in tools handle inpainting, outpainting, ControlNet conditioning, LoRA and Hypernetwork loading, ESRGAN upscaling, area composition, model merging, and GLIGEN spatial control without writing code. The execution engine implements asynchronous queue processing with partial graph re-execution, running only changed nodes between iterations, and smart VRAM management that offloads models on GPUs with as little as 1 GB of memory. API nodes optionally connect to closed-source models through Comfy API while the core runs fully offline. Reusable subgraphs and App Mode expose complex workflows as simplified interfaces for non-technical users. The V3 custom node schema enables stateless execution with async support and process isolation. The TypeScript and Vue frontend ships as a PyPI package with stable releases every two weeks. Workflows save as JSON and embed in generated PNG, WebP, and FLAC files for reproducibility. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL v3.0 licensed.
GPT Load
GPT Load has become the go-to self-hosted AI gateway for teams managing multiple LLM provider credentials behind a single URL. The Go-built proxy transparently preserves native API formats for OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, and Google Gemini — applications swap one base URL and keep their existing SDK integration untouched. Twenty built-in channels cover official APIs (OpenAI, Anthropic, Gemini, xAI), cloud platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI), model services (DeepSeek, Moonshot AI, SiliconFlow, Zhipu AI, Alibaba Cloud, Volcengine, OpenRouter, Groq), and subscription accounts (Codex, Claude, Antigravity, Grok) using the same credential management, scheduling, and health system. The intelligent key pool rotates among valid credentials using atomic counters for fair high-concurrency distribution, automatically blacklists failing keys after configurable thresholds, and recovers them via scheduled health checks — all transparent to clients. Weighted load balancing distributes traffic across multiple upstream endpoints while per-credential proxies route individual keys through different egress paths. The Vue 3 management dashboard provides real-time statistics, group configuration, key testing, request logs with full debugging context, per-model cost estimates, and route inspection. Docker deployment exposes the management interface and proxy on port 3001 with SQLite by default, MySQL or PostgreSQL optional, and Redis for distributed leader-follower cluster scaling. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Chartbrew
Chartbrew transforms raw database queries and API responses into polished, shareable dashboards without requiring a data engineering team. Connect to MySQL, PostgreSQL, MongoDB, Firestore, or any REST API, then build datasets using the visual query editor with syntax highlighting and auto-completion. Charts render through Chart.js with line, bar, pie, donut, radar, polar, KPI card, and table visualizations, each customizable with colors, legends, filters, and goal indicators. An AI assistant accelerates dashboard creation by generating queries and suggesting chart configurations from natural language descriptions of the metrics you want to track. Reusable datasets let teams prepare data transformations once and share them across multiple charts, while automatic scheduling through BullMQ and Redis refreshes data at intervals from every 10 minutes to monthly. The embed feature generates standalone chart URLs for insertion into external websites, internal tools, or customer portals, and the Reporting API enables programmatic dashboard management and automated report delivery. Team workspaces with role-based permissions control who can view, edit, or manage data connections. Nearly 4,000 GitHub stars reflect steady community adoption. The platform runs on Node.js with Express and Sequelize ORM, supporting MySQL or PostgreSQL as its application database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. FSL-1.1-MIT licensed (converts to MIT two years after each release).
AstrBot
Getting a language model into the chat apps people already use takes a single self-hosted server running AstrBot, which answers in QQ, Telegram, Discord, Slack, Lark, DingTalk, LINE, and WeCom. The model itself is a setting. OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, Ollama, and LM Studio all work, with fallback models and retry limits for failed requests, and Dify, Coze, or Alibaba Cloud Bailian can take over a conversation too. A bare model cannot act, so the built-in agent calls MCP servers and Skills, delegates to SubAgents, runs scheduled tasks, and executes code in an isolated sandbox. It cannot read your files either, so a knowledge base takes PDF, Word, Markdown, and EPUB uploads and searches them with hybrid dense and BM25 retrieval. Personas shape each bot's personality, and Whisper or Edge TTS adds speech. When an answer looks wrong, the ChatUI shows thinking, tool calls, token counts, and latency, and a per-message trace timeline shows how the bot got there. Because the panel steers the bot, administrator IDs, session whitelists, optional TOTP login, and HTTPS protect it. Backups live under System Settings, and the plugin market installs any of more than 1,000 extensions in one click. 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.
mitmproxy
A man-in-the-middle proxy you run on purpose, mitmproxy lets developers and testers inspect, edit, and replay HTTP and HTTPS traffic from any client. Point a browser, phone, or script at it and every HTTP/1, HTTP/2, HTTP/3, WebSocket, and TLS-protected connection appears as a flow you can open, search, and filter. Content views turn payloads from HTML to Protobuf into readable text. Intercept a request or response before it moves on, change its headers, body, or status by hand, then release it, or save the flow and replay it to the client or the server later. Map local and map remote rules answer requests with files or other URLs, while blocklists, anticache, sticky cookies, and proxy authentication cover routine test chores. Choose the interface that fits the job: a keyboard-driven terminal console, mitmweb in the browser with a Capture tab that sets up WireGuard devices with a QR code, or mitmdump for unattended logging in scripts. Proxy modes include regular, local capture, WireGuard, transparent, reverse, upstream, SOCKS5, and DNS. Addons written in Python add custom rewriting, recording, and automation. Teams use it for debugging, testing, privacy measurements, and penetration testing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.