Hocuspocus
Hocuspocus is the WebSocket backend that turns a regular editor into a multiplayer one: two people open the same document, type at the same time, and watch each other's words appear in place, with every keystroke merged cleanly and no save conflicts to untangle later. The server speaks the Yjs synchronization protocol, so clients built with Tiptap, ProseMirror, Slate, Quill, or Monaco editors connect over a persistent connection and exchange small updates that the conflict-free data type orders correctly regardless of arrival sequence, and awareness messages carry cursor positions and presence so collaborators see who is in the document. Teams that outgrow one process add the Redis extension to balance connections across multiple server instances, reaching very large numbers of simultaneous editors on the same documents. Persistence extensions store documents in SQLite for small deployments or in a database or S3-compatible storage through your own fetch and store callbacks, the webhook extension notifies your application when documents change, throttling guards against abusive connections, and hooks for authentication and document loading let you enforce per-document permissions before anyone joins. Developers embed the server into an existing Node.js, Bun, Deno, or Cloudflare Workers runtime, or run it as the collaboration tier beside their main application, and offline-first clients queue changes locally and synchronize when the connection returns. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Agentic SOC Platform
Agentic SOC Platform compresses hours of manual security analysis into seconds by deploying specialized AI agents that autonomously triage, investigate, and enrich security alerts. The Python/Django backend processes SIEM webhooks through Redis Streams into a modular pipeline where LangGraph-orchestrated agents extract IOCs, correlate signals, and generate Cases with severity, confidence, impact, priority, and structured verdicts. The built-in SIRP provides full case management with Alerts, Artifacts, Enrichments, Tickets, and a Knowledge base that accumulates institutional memory for both human analysts and LLM agents. Native Splunk and Elasticsearch/Kibana integrations deliver unified log search through a standardized interface so agents and analysts share identical security context. The playbook engine combines traditional SOAR automation with AI-powered investigation — launching threat hunting agents, knowledge extraction, threat intelligence enrichment, and CMDB lookups from a single orchestration layer. MCP Plugin support exposes ASP capabilities to Claude Code, Codex, and OpenCode, enabling external AI agents to operate cases, search logs, query threat intelligence, and write custom modules directly. Python Modules adapt new alert sources while Playbooks orchestrate LLM analysis and automated response actions, scaling the platform with your security scenarios. Deploy via Docker Compose with all data staying inside your network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Viseron
Homeowners and facility operators deploy Viseron to turn standard RTSP and ONVIF security cameras into a self-hosted network video recorder with local AI object detection, face recognition, and license plate reading. Instead of uploading private camera feeds to subscription cloud services, you monitor low-latency WebRTC live streams, scrub through an interactive event timeline, and review 24/7 continuous recordings directly from a responsive web dashboard. You can draw custom detection zones and privacy masks in the visual camera tuning editor to filter out street traffic, while lookback buffering captures footage several seconds before motion or an object triggers an event. Pluggable computer vision pipelines connect your cameras to YOLOv7 Darknet, Google Coral EdgeTPU, CompreFace, dlib, and CodeProject.AI to classify people, vehicles, known faces, and license plates in real time. Tiered storage policies automatically migrate older video segments from fast NVMe drives to high-capacity archival disks based on age and quota rules. Bidirectional MQTT integration and Home Assistant auto-discovery let you toggle cameras on demand, ingest external motion sensors, and dispatch instant snapshot alerts to Telegram or Discord. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Warpdrive
Warpdrive is a self-hosted sales CRM that gives business-development teams the complete Pipedrive workflow, pipelines, deal timelines, and two-way Gmail, on infrastructure they own outright. Drag deals across a Kanban board with custom stages while per-stage weighted totals, rotting-deal warnings, and saved filters keep the forecast honest without a weekly cleanup meeting. Every deal opens into one workspace where activities, notes, files, emails, and the full change history share a single timeline, with participants, followers, labels, and lost reasons attached. People and organizations carry custom fields, firmographics, and org-to-org relationships, and a leads inbox plus CSV import with an undo step keeps new data from corrupting the book. Contact enrichment from Apollo, RocketReach, and GetProspect fills empty people and organization fields, and every enriched value waits behind an explicit review step before it lands. Two-way Gmail sync threads every message onto its deal and contact automatically, and templates, signatures, merge fields, scheduled sends, and open tracking live in the same inbox. Boards, inboxes, and notifications update in real time across the team, while funnel and activity stats show exactly where deals stall and who is carrying the pipeline. An MCP server lets AI assistants query the pipeline and log activity under the same permissions, and role-based access keeps every seat scoped to its own work. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Supernote
Your Supernote tablet fills with handwritten journals, meeting notes, and sketches, and this server gives that handwriting a private home: Supernote is a self-hosted sync cloud for Ratta Supernote tablets that stores notebooks on your own hardware and can transcribe, summarize, and search them with AI. Point the tablet at your server under its Private Cloud sync setting and notebooks upload automatically, ready to browse in the web interface alongside your task lists and AI insights. Turn on the intelligence layer and each synced page is transcribed by a vision model, either Google Gemini or a local model served by Ollama or another OpenAI-compatible endpoint, so notes never leave your network. Analyzers then read your journals to surface tasks, themes, and Daily, Weekly, and Monthly summaries. Every word is indexed for semantic search, which understands concepts: searching for budget also finds pages about expenses or money, even when that exact word never appears. Tasks discovered in your handwriting export as calendar feeds that drop into Home Assistant, Apple Calendar, Google Calendar, and Outlook. An MCP server lets assistants such as Claude, Gemini, and ChatGPT answer questions against your notebooks, and notebooks convert to PDF, PNG, SVG, or plain text for use anywhere else. The hub idles at about 160 MB of memory, or roughly 135 MB in bare sync mode. 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.
SwanLab
Training runs stop being terminal scrollback and become a board you can read at a glance. SwanLab is an open-source experiment tracking and visualization platform for AI model training that records metrics, hyperparameters, logs, and hardware signals from your training code into a modern web dashboard you can self-host. A few lines of Python start an experiment, and the dashboard follows loss curves, learning rates, and custom scalars live, with line chart configuration, smoothing, grouping, and detailed hover inspection for comparing runs. Experiments organize into projects and groups with tags, pinning, filtering, and a table view that sorts and aligns runs against a baseline with difference percentages. Media logging goes far beyond scalars: images, audio, video, text with Markdown rendering, 3D point clouds, molecular structures, and custom ECharts visualizations including PR curves, ROC curves, and confusion matrices. Hardware monitoring records GPU, CPU, memory, disk, and network behavior from NVIDIA, AMD, Ascend, and other accelerators alongside the metrics they produced. Integrations cover more than fifty frameworks, from PyTorch Lightning and Hugging Face Transformers to LLaMA Factory, veRL, and XGBoost, and existing histories migrate in through sync tools for MLflow, TensorBoard, and Weights and Biases. Teams collaborate with organizations, roles, project sharing, webhooks, and notification plugins. 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.
TencentDB Agent Memory
TencentDB Agent Memory provides a team-level memory hub that transforms AI agent conversations, documents, and codebases into four governed, shareable memory assets: Chat Memory for conversation history, Skills extracted from completed tasks, LLM-Wiki built from document ingestion, and Code-Graph generated from codebase analysis. The four-tier semantic pyramid structures long-term memory from L0 raw conversation capture through L1 episodic extraction and L2 scenario aggregation to L3 persona synthesis, enabling hierarchical drill-down via node and result references instead of flat vector recall. The Node.js Gateway sidecar handles capture, extraction, storage, recall, and pipeline scheduling through RESTful HTTP v2 endpoints on port 8420, while the Memory Proxy intercepts Anthropic-format API calls to inject team memory context into Claude Code, CodeBuddy, and other coding agents transparently. Local SQLite with the sqlite-vec extension provides the default storage backend with hybrid BM25 keyword plus vector embedding plus reciprocal rank fusion retrieval requiring zero external API dependencies. Teams manage ownership, versions, status, visibility, usage counts, and agent bindings through the Memory Hub dashboard with role-based access control separating System Admin and team-level Admin and Member permissions. Official TypeScript and Python SDKs provide programmatic access for custom framework integration beyond the built-in OpenClaw plugin and Hermes Agent adapter. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Worklenz
Worklenz delivers an all-in-one project management platform purpose-built for teams that bill clients for their time and expertise. The task management system supports list, Kanban board, and timeline Gantt views with priorities, due dates, assignees, labels, and subtasks. Built-in time tracking offers both start-stop timers and manual entry, logging billable hours directly against tasks and automatically aggregating time data into project-level cost reports. The resource management module provides a visual team utilization dashboard showing capacity allocation across all active projects, helping managers avoid overallocation and balance workloads. Client portals give external stakeholders direct visibility into project progress, task status, and deliverables without requiring internal account access. Financial insights track budgets versus actuals, showing project profitability, cost breakdowns, and burn rate in real time. The analytics engine generates reports on project health, team workload distribution, task completion trends, and time allocation patterns. Project templates enable one-click setup of common agency workflows with pre-configured task structures, milestones, and assignments. The React frontend uses Ant Design components with TypeScript, while the Express.js backend connects to PostgreSQL for data and Redis for caching. Docker Compose deployment includes Nginx reverse proxy with SSL/TLS support, automated database backups, health checks on all services, network isolation, and MinIO for object storage. On RepoCloud, deploy Worklenz on a dedicated VPS with root SSH access, persistent PostgreSQL storage for your project data, and complete control over client portal access and team configurations, all under the AGPL-3.0 license.
Langflow
Langflow turns LLM application development into a visual canvas where every node maps to a real LangChain primitive (chains, agents, retrievers, memory, vector stores, and tools) that teams wire together without writing integration boilerplate. The platform supports 15+ LLM provider components including OpenAI, Anthropic, Google Gemini, Mistral, Groq, Cohere, Azure OpenAI, HuggingFace, and Ollama for fully local inference, with LiteLLM proxying to over 100 additional providers through a single OpenAI-compatible endpoint. Vector database integrations cover Pinecone, Weaviate, Chroma, Qdrant, Astra DB, OpenSearch, FAISS, and Milvus, while built-in Knowledge Bases introduced in version 1.8 allow RAG pipelines without any external vector service. Multi-agent orchestration enables agent-to-agent communication with conversation management, persistent Memory Bases for cross-session context retrieval, and step-by-step reasoning visibility in the interactive Playground. Every flow automatically becomes a callable REST API endpoint via the /run route and an MCP server exposable to Claude Desktop, Cursor, or any MCP-compatible client. Every component is a real Python class that developers can customize, extend, or replace, while Extension Bundles package third-party integrations as independent pip packages for modular installation. Tool integrations include web search, Slack, Gmail, Google Drive, GitHub, and custom REST API calls. Docker deployment with PostgreSQL persistence runs on port 7860. Backed by 153,000+ stars and DataStax. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Kwant
Instead of one chatbot that confidently declares victory, Kwant gives you a whole team of AI bots that check each other's work before anyone says done. Create spaces for work, a side project, and home, each with its own bots, teams, channels, routines, and accounts, then watch messages route automatically to the bot whose skills fit, with a line under every reply explaining why that bot answered. Bots hand tasks to each other with a mention, and every hand-off becomes a card on the Mission board showing verified results this week, their cost, and what still needs you. A card turns Verified only when Kwant runs the check itself, such as a test or a file check, and keeps the receipt, because files a bot attaches are evidence, never proof. Connect several Claude, Codex, or Grok logins plus Anthropic, OpenAI, or xAI keys, set a priority order, and a turn moves to the next account when one runs out of usage. Schedule routines that run while you are away, collect waiting, finished, and failed work in one Inbox, and approve risky steps like pushes or payments from a card that shows the exact command first. 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.
Local Deep Research
Execute comprehensive multi-angle investigations across scientific journals and web repositories using Local Deep Research, an autonomous intelligence engine designed for researchers, analysts, and knowledge workers. Users can submit complex analytical questions through a self-hosted web console to initiate agentic research cycles powered by LangGraph workflows. The application dynamically queries search providers including SearXNG, arXiv, PubMed, Wikipedia, and Google, iteratively evaluating discovered content to formulate targeted follow-up queries. Discovered academic papers and web sources can be indexed into an encrypted personal library to combine internal documentation with external search intelligence. Reports are synthesized with structured outlines, section headings, and verifiable academic citations that link directly to source references. Individual research sessions, system logs, and user credentials remain isolated in per-user SQLCipher databases protected by AES-256 encryption. Automated subscriptions deliver scheduled news digests and topic monitoring summaries directly to connected notification channels. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Olares
Your own hardware should be the cloud your AI lives in. Olares is an open-source personal cloud operating system that turns one machine, or a small cluster of them, into a private AI platform: run local large language models, keep always-on agents working on your files, and open a browser-based desktop of apps from any device. The built-in Lares assistant takes instructions in plain language and delegates research, file management, and routine automation to agents. The Model Console downloads and serves open models from a local catalog, with GPUs pooled across nodes and split by time or memory for AI, media, and gaming workloads. A one-click market installs self-hosted applications beside the system apps: Files browsing local folders, synced data, cloud storage, and SMB or NFS shares; Vault managing secrets; Dashboard watching the machine; and Control Hub administering it all. Networking stays private by design, with a built-in VPN, reverse proxy, and public, private, or internal entrances giving each app an HTTPS address without exposing individual ports. Backups protect the whole system, the desktop works from phone or browser anywhere, and your apps, storage, and accelerators behave like one coherent computer rather than a pile of containers. 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.
Plausible
Built as a direct rejection of the adtech model, Plausible is the best-known privacy-first web analytics tool - lightweight, cookie-free, and open-source. It sets no cookies and stores no personal data: unique visitors are counted via a hash of IP plus User-Agent that rotates every 24 hours and is never stored raw, so no consent banner is required and GDPR compliance is structural rather than contractual. The tracking script is under 1 KB - orders of magnitude lighter than GA - and the dashboard is a deliberate contrast to GA4's sprawl: one fast-loading page with visitors, sources, top pages, countries, devices, and UTM breakdowns, filterable by any dimension. Custom events and goals track signups and clicks, Google Search Console integration pulls in search queries, scheduled email reports keep stakeholders updated, and the Stats API (v2) plus CSV export feed data anywhere. This is the AGPL-licensed Community Edition, the same Elixir codebase that powers Plausible's cloud service, running as three containers: the web app, PostgreSQL for accounts, and ClickHouse for event storage - which means self-hosters get direct SQL access to raw analytics data the cloud version never exposes. Traffic data stays entirely on your server, with no visitor caps or per-pageview pricing.
Temps
Consolidate application hosting, web analytics, error tracking, and performance monitoring into Temps, an open-source developer platform that replaces disparate SaaS subscriptions with a single compiled Rust binary. Engineering teams deploy full-stack web applications, background daemons, and microservices directly from Git repositories with automated TLS certificate provisioning powered by an embedded Cloudflare Pingora reverse proxy. The centralized web console unifies real-time visitor analytics, conversion funnels, and rrweb-powered session replay recordings without third-party tracking scripts. Integrated error monitoring ingests runtime exceptions with full stack traces and source map resolution, while continuous health checks evaluate container CPU utilization, memory thresholds, and network throughput across custom alerting rules. Developers manage infrastructure through an extensive command line interface containing over 440 operations across 69 command groups, or deploy drop-in skill files that allow AI coding assistants like Claude Code and Codex to provision preview environments autonomously. The platform also provides serverless key-value storage, S3-compatible blob buckets, and native transactional email routing with custom DKIM validation. 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.
Kokoro FastAPI
Kokoro-FastAPI turns text into natural-sounding speech across eight languages by serving the 82-million-parameter Kokoro-82M model through an OpenAI-compatible REST API, so any existing OpenAI SDK client can generate audio by just changing the base URL. With over 5,300 GitHub stars since December 2024, the fully Dockerized FastAPI server covers American English, British English, Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese with language-specific phoneme processing. Inline voice mixing blends multiple profiles using weighted ratios like af_bella(2)+af_heart(1), automatically normalizing weights and caching combined voicepacks as PyTorch tensor files for reuse. Audio streams in real time over HTTP with configurable chunk sizes, or generates complete files in MP3, WAV, OPUS, FLAC, AAC, or PCM formats with speed control from 0.25x to 4.0x. Per-word timestamped captions with speaker-tagged voice labels enable subtitle generation for podcasts, audiobooks, and accessibility workflows. Pre-built Docker images support NVIDIA GPU acceleration via CUDA, experimental AMD GPU inference via ROCm, and CPU-only deployment on linux/amd64 and linux/arm64 architectures, with Apple Silicon MPS support available through direct UV execution. The integrated web interface at port 8880 provides browser-based speech generation, while the Swagger UI at /docs exposes the full API reference. Debug endpoints report system statistics for monitoring inference load. 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.
Pi-Remote
Your pi agent is mid-refactor on the server at home, you are on a train with only a phone, and Pi-Remote is the self-hosted relay that puts that live session in your browser so the work does not wait for your desk. Output, tool calls, and status changes sync in real time, with incremental catch up after a reconnect, and the session itself never leaves the local pi process. Send messages while pi is busy and they queue or steer, with delivery confirmed; switch the model or thinking level, compact the context, fork or clone a session, and walk the session tree, all executed locally. Several machines share one relay, and the UI lists each device, its online state, and its sessions, and can start a new session on the device you pick. Link a device by scanning a QR code, checking the 2 digit code on the confirmation page, and approving with the admin token. Desktop and mobile get separate layouts with six skins in Cursor, Claude, and Codex looks, dark and light, and token and cost usage updates in the status area. At home the relay can run serverless over the LAN, with a Cloudflare Tunnel switched on when you leave; on a server it runs under systemd or Docker Compose, and a device stays reachable only while its attach window is open. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Bark
Your monitoring should be able to tap you on the wrist, not just write to a log nobody reads. Bark is an open-source push notification server for iPhone and iPad: any script, cron job, or monitoring tool sends one HTTP request to your server, and a custom notification lands on your iOS device through Apple's push service, usually within a second and without draining the battery. Notifications carry titles, subtitles, bodies, badges, custom icons, and sounds, and the iOS-only vocabulary is fully supported: grouping related alerts together, time-sensitive delivery that breaks through Focus, critical alerts that keep ringing for thirty seconds, and tap actions that open a URL or copy a value to the clipboard. Batch keys notify several devices at once, archived messages can carry a time-to-live before they delete themselves, and encrypted pushes keep content unreadable to anyone in the middle. The server itself is deliberately tiny: one container or binary listening on a port, device tokens stored in a local file database by default, an endpoint to register devices, health checks for your supervisor, and even an MCP interface so AI agents can notify you through the same pipe. Cron jobs, backup scripts, CI pipelines, and home automations all gain a voice that reaches the phone in your pocket. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Ralph
Ralph tracks thousands of assets across data centers and back offices through a unified CMDB, DCIM, and asset management platform, providing the same capabilities as ServiceNow, Device42, and Sunbird dcTrack without per-asset licensing fees. Used by Allegro in production and backed by over 2,500 GitHub stars, it is built on Python 3 with Django and Django REST Framework. Interactive data center floor plans support drag-and-drop rack placement, front and rear rack views showing U-level asset positioning, power consumption tracking per PDU, and ethernet and fiber connection mapping. The back office module manages laptops, desktops, printers, mobile phones, and accessories with user assignment tracking, warehouse inventory, stock-taking audits, and automated loan workflows. IP address management handles network environments with DHCP and DNS integration alongside network topology visualization. Software license tracking monitors per-user and per-core allocations with usage calculations, compliance reporting, and expiration alerts, while vendor support contracts track SLA agreements and warranty renewal dates. The transitions system automates asset lifecycle processes through configurable workflows that trigger HTTP webhooks, custom Python scripts, email notifications, and Puppet and Ansible configuration management integration. Custom fields extend the data model with text, numbers, dates, choices, and URLs per asset type, accessible via the REST API. Multi-tenant architecture organizes assets by regions, data centers, service environments, and business units. Deploy via Docker with the allegro/ralph image alongside MySQL 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.