Most file sharing leaves copies lying around forever; Tessera shares things with a built-in goodbye. Drop in a file, a whole folder, a code snippet, or a link and you get back a short code and a URL that anyone can open until it expires or hits the download count you set, at which point it is deleted. Expiry is checked on every request and each retrieval is counted atomically, so a one-time share cannot be raced by two people at once. Passwords can be required before anything is shown, code arrives syntax-highlighted, and images, SVGs, and diagrams preview in the page, with link cards when you paste the URL into chat. Uploads resume after interruptions and stream through the server without ballooning memory at any size. Behind the scenes you choose where bytes live: local disk, S3-compatible storage, Azure Blob, Google Cloud Storage, or WebDAV, several at once, added or retired from the admin panel without a restart. Accounts are optional for a home server, sign-in through OpenID Connect suits a team, and roles with per-account quotas decide who may upload, view everyone's shares, or change settings. Optional malware scanning, anonymous-upload caps, and rate-limited code lookups keep a public instance honest. A CLI and API tokens drive the same endpoints as the web app, so scripts can share and clean up exactly like people. 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.

Type a sentence like 'draw a seaside lighthouse under moonlight, with a small sailboat and stars' and Draw Agent Studio sketches it on a live canvas you can then keep editing by chat. Follow-up messages move objects, change colors, delete elements, and undo or redo steps, so refining a diagram becomes a conversation instead of a wrestling match with shape handles. The same canvas accepts direct manual work: select and drag shapes, draw freehand with the pen, or drop text onto the page to finish details the model missed. Researchers and writers use it to build flowcharts from a paragraph of method notes, grouping stages, adding quality checks and feedback loops, and restructuring sections on request. Canvases save automatically as you work, and finished pieces export as PNG, JPG, WebP, or SVG images, or as editable Excalidraw files for further hand editing elsewhere. You bring your own model connection, choosing OpenAI, Claude, Gemini, Azure OpenAI, Ark, DeepSeek, Kimi, Groq, OpenRouter, Bedrock, Vertex AI, or a local Ollama or OpenAI-compatible endpoint. A built-in connection test sends a real image and verifies recognition and tool calling before you save, and your API keys stay encrypted on the server rather than in the browser. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Ollaya serves decision models that answer typed questions about a message, ticket, or document with calibrated probabilities, through a self-hosted API shaped like the hosted service it can replace. Send a state, which can be an email, a support ticket, or any JSON, plus typed choice, score, and yes or no questions, and the model answers in one forward pass in milliseconds without generating text. Pull models by name the way Ollama users already know, with run, list, ps, show, copy, and remove commands managing the local store. Downloads verify every layer against its sha256 digest, resume when interrupted, and share blobs between models so storage stays lean. Existing TypeSafe code keeps working by changing one environment variable, because the /v1/systemone and /v1/decisions endpoints are wire-identical and the official SDK sends its key the same way. The native /api adds routing information and timings, model loading and unloading, and streamed pull progress for your own tooling. Put it to work triaging inboxes, routing requests to the right model or team, screening prompts for injection and jailbreak attempts, or replacing per-token LLM classification calls with a local answer. Agents reach the same engine through the bundled MCP server, and LiteLLM, LangChain, DSPy, LlamaIndex, n8n, and Dify connect through their existing integrations. 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 7,300+ GitHub stars and active releases through version 3.17, Woodpecker CI is the community-driven fork of Drone CI that kept the entire platform open source under Apache 2.0 — delivering a lightweight, container-native CI/CD engine that runs on minimal resources while providing enterprise-grade pipeline automation. Every pipeline step executes in an isolated Docker container, ensuring reproducible builds with zero host contamination and clean teardown after each run. Define workflows in simple YAML configuration files with step dependencies, conditional execution via when filters, service containers for databases and caches, and matrix builds that test across multiple language versions, platforms, or database engines simultaneously. Deep forge integration connects to GitHub, GitLab, Gitea, Forgejo, and Bitbucket via OAuth and webhooks, triggering pipelines on push, pull request, tag, deployment, and cron events. The plugin ecosystem inherits compatibility with the Drone plugin library — over 100 plugins for Docker builds, S3 uploads, SSH deployment, Slack and Telegram notifications, Helm deployments, and more. The server-agent architecture separates the web UI, API, and scheduler from pipeline execution, enabling horizontal scaling by adding agents across multiple machines or architectures including ARM. Secrets management supports global, organization, and repository-level scopes with approval workflows for forked repository pipelines. The admin web UI provides user management, agent monitoring, and queue control. Docker Compose deployment provisions the complete stack in under five minutes. 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.

The movie half of the *arr stack: Radarr is a .NET collection manager that automates acquiring films for Usenet and BitTorrent users the way Sonarr does for TV. Add a movie once and Radarr handles the rest: it monitors indexers and RSS feeds, grabs a matching release the moment one appears, sends it to SABnzbd, NZBGet, qBittorrent, Deluge, Transmission, rTorrent, or another connected download client, then imports, sorts, and renames the file into your library structure. Quality profiles are the control surface - define allowed resolutions and a cutoff, and Radarr keeps upgrading files automatically, replacing a DVD rip when a Blu-ray release lands. Custom formats go further, scoring releases by codec, HDR metadata, release group, streaming source, or arbitrary regex so the copy you want always wins the pick. Failed downloads retry with another release automatically; a manual search shows every candidate and explains why one was skipped. Release parsing recognizes director's cuts, special editions, AKA titles, and hardcoded subs. Plex and Kodi integration handles notifications, library refreshes, and metadata like posters, trailers, and subtitles, and a calendar view tracks upcoming releases. It pairs naturally with Jellyseerr for request management and shares its API conventions with the whole *arr ecosystem.

Subtitles are the one chore Sonarr and Radarr leave behind - Bazarr finishes the *arr media stack by automating them. It connects to both via their APIs and mirrors their libraries - it doesn't scan disk itself, it manages exactly what your *arr apps index. For every monitored episode and movie it checks existing internal and external subtitles against your language profiles, then hunts missing ones across dozens of providers - OpenSubtitles.com, Podnapisi, Addic7ed, Subscene, and many regional sources - covering 184 subtitle languages including forced/foreign-dialogue tracks. Matching is smarter than filename guessing: releases are compared by release group and source, some providers support exact file-hash matching, and every downloaded subtitle gets a percentage score. Set a minimum score per Sonarr/Radarr connection and Bazarr rejects weak matches; enable upgrades and it replaces previously downloaded subtitles when better ones surface. Out-of-sync files get fixed too - automatic subtitle synchronization realigns timing after download, triggered only below a configurable score threshold so good subs aren't touched. Per-show and per-movie language configuration, download history, manual on-demand search, and adaptive searching that throttles provider API calls round it out, all behind a clean Sonarr-style web UI written in Python. If your library serves multilingual viewers, this removes the last manual step.

With over 7,000 GitHub stars and continuous development since 2017 by former Intel engineer Ylian Saint-Hilaire, MeshCentral has become the go-to self-hosted alternative to ConnectWise Control and Splashtop for managing devices remotely without per-seat licensing fees. The Node.js server installs via a single npm command and manages Windows, macOS, Linux, and FreeBSD endpoints through lightweight agents that maintain persistent WebSocket connections for real-time remote desktop, terminal access, and file transfer directly in the browser. Intel AMT integration provides out-of-band hardware management including power control and BIOS access even when the operating system is unresponsive. Device groups organize endpoints by location, customer, or function with granular role-based access control for multi-technician environments. Session recording captures remote desktop interactions for compliance auditing, while Wake-on-LAN powers on machines remotely across subnets. The server supports MongoDB for production deployments handling thousands of agents or the embedded NeDB for smaller setups under 200 devices, with a single 8GB VPS comfortably managing 1,500 concurrent agents. Security features include mandatory TLS with automatic Let's Encrypt certificate provisioning, multi-factor authentication via TOTP and FIDO2, SAML-based single sign-on, IP filtering, and HashiCorp Vault integration for secrets management. The web console provides real-time device monitoring with hardware and software inventory, network topology visualization, and customizable branding. TacticalRMM uses MeshCentral as its remote access layer. 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.

Watch YouTube without the ads, accounts, or tracking, from a server you own: TubeHaus is a private YouTube client that keeps the familiar layout, URLs, and keyboard shortcuts. Your subscriptions, watch history, resume positions, Watch Later, and playlists live as files on the server, so every device in the house shares one library and picks up a video where another screen left it. Live streams play with segments fetched ahead of the player, and captions are transcribed on the fly when a stream has none. Chapters, storyboard previews, a mini player, and theater mode make long videos easy to navigate, while sponsors are skipped automatically and dislike counts come back to the page. Save videos offline in 1080p or 4K for trips, send playback to a TV from your phone without a separate casting dongle, and drive the television interface entirely from a remote. Imports arrive from a Google Takeout export, Invidious, NewPipe, or FreeTube, so years of subscriptions move over in minutes instead of being rebuilt by hand. A calm mode hides recommendations and Shorts when you only want to search and watch deliberately. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With over 77,000 GitHub stars accumulated in under five months since its March 2026 launch, Paperclip has become the default control plane for teams running multiple AI agents in production. Rather than juggling dozens of terminal tabs with Claude Code sessions, Codex instances, and Gemini CLI workers, Paperclip organizes all agents into a company structure with org charts, reporting lines, role-based permissions, and per-agent monthly budgets that trigger hard-stops when exceeded. The platform supports any runtime through its adapter system — Process adapters manage local CLI agents like Claude Code, Codex, Cursor, Pi, and OpenCode as child processes, while HTTP adapters trigger remote agents via webhooks to OpenClaw, serverless platforms, or custom endpoints. Heartbeat-based execution wakes agents on configurable schedules, injecting goal context, budget state, and workspace paths directly into the invocation payload. The Work and Task System provides atomic checkout with execution locks, first-class blocker dependencies, and structured work products to eliminate duplicate effort. Governance features include approval workflows, decision tracking, emergency stops, and full audit trails tracing every mutation to an actor. Deployment runs as a single Node.js process with embedded PostgreSQL locally or scales to external Postgres for production, installable in one command via npx paperclipai onboard. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Backed by 56,000+ GitHub stars and over 240 million Docker pulls, LiteLLM delivers the open-source AI gateway trusted by Netflix, Lemonade, Rocket Money, and thousands of engineering teams to route every LLM request through one unified API. The Rust-core gateway adds sub-millisecond overhead per request with 8ms P95 latency at 1,000 RPS, 15x throughput improvement and 11x lower memory footprint compared to Python-only proxies. A single OpenAI-compatible endpoint connects to 100+ providers and 1,800+ models spanning OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Hugging Face, vLLM, Nvidia NIM, Ollama, and Mistral with day-zero support for new model releases. The Auto Router V2 classifies request complexity across four tiers using rule-based scoring, semantic keyword matching, and adaptive Thompson sampling to route each request to the most cost-effective model without API calls or training data. Virtual API keys enable multi-tenant governance with per-team, per-user, and per-project cost tracking, budget caps with automatic fallback rerouting, and role-based access control. Built-in guardrails provide PII masking, prompt injection detection, and model-graded evaluation before requests reach providers. The Agent Gateway extends routing from model calls to agent workflows with MCP server integration. Observability integrates with Langfuse, Arize Phoenix, OpenTelemetry, and MLflow for complete request tracing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

When the connection drops, Project NOMAD keeps serving offline Wikipedia, Khan Academy courses, maps, and an optional private AI assistant from a single Debian-based Linux server. The core needs only about 5 GB of disk and under 1 GB of RAM. Content is what fills the drive, and a setup wizard sorts it into Essential, Standard, and Comprehensive tiers while a storage bar tracks the running total. Wikipedia runs from a quick-reference set of the top 100,000 articles to the complete English edition with images at about 121 GB, and Kiwix also serves medical references, survival and repair guides, and Project Gutenberg ebooks. Kolibri adds Khan Academy courses with multi-user progress tracking, and any browser on the network can study. Offline maps cover the whole globe, single countries, or regions, with markers you can search, color, and navigate to by coordinate. The AI assistant is the heavy part, bringing the install to roughly 25 GB. It chats through Ollama or any OpenAI-compatible server such as LM Studio, searches uploaded documents, lists sources with dates when known, and lets vision models read attached images. CyberChef handles encoding and hashing, and FlatNotes keeps Markdown notes. The Supply Depot adds one-click apps or your own Docker containers. Opt-in auto-updates for the Command Center, installed apps, and downloaded content run inside a window you set. 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.

Waiting for the right moment to buy usually means refreshing product pages for weeks, so PriceBuddy does the refreshing for you and speaks up when the price is right. Paste a product URL and it fetches the details and price, then rechecks on a global schedule or a per-product interval from every 5 minutes to every 24 hours. Stores are scraped with CSS selectors, regular expressions, or JSONPath, a headless browser covers JavaScript-heavy shops, and an optional AI provider (OpenAI, Anthropic, Gemini, or local Ollama) can recover missing prices or repair broken selectors. Attach several URLs to one product to compare retailers or marketplace listings, with in-stock, pre-order, and discontinued states shown beside each source. Unit pricing reveals the real cost per tablet or bag when multi-packs distort shelf prices, while history charts show minimum, maximum, and average over time. Alerts fire on a target price, a drop threshold, or a back-in-stock event and arrive by in-app notice, email, Pushover, Gotify, Apprise, Telegram, Discord webhook, or ntfy. Tags sort products into draggable dashboard groups, with optional smart sections for what to buy now, recent drops, and failed checks. Each user keeps separate products and settings, a REST API with scoped tokens serves your scripts, and a Chrome and Edge extension tracks items from the page you are viewing. 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.

Running AI agents in production takes more than a model call: Omnara supplies the durable runtime, tools, approvals, and complete event history around any model, on your own machines. You define an agent once in a small YAML file: instructions, a model from OpenAI, Anthropic, OpenRouter, Bedrock, LiteLLM, Ollama, or your own endpoint, and the machines it may use. Launch agents from the REST API, the TypeScript SDK, the command line, or the dashboard, then stream every event live or receive it as a webhook while the agent works. Agents run shell commands and edit files on sandboxes from twelve providers, or on your own laptops, VMs, and containers through a daemon that connects outward, so no inbound ports or SSH keys are exposed. Every step is written to Postgres as an event log, which means an agent survives crashes, restarts, and disconnected machines and resumes exactly where it stopped. Tool permissions can run immediately, ask a person first, or block outright, and agents can start subagents, follow cron schedules, and keep shared memory files between conversations. Teams meet the agents where they already talk: mention the bot in Slack or Discord, or let a GitHub pull request trigger a review, with questions and approvals handled in the thread. 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.

pRESTd points at your PostgreSQL or MySQL database and instantly serves every table as a REST API, so the CRUD backend you were about to spend a week writing already exists. Every table answers at its own address with filtering, ordering, pagination, and column selection in the query string, and batch endpoints group several operations into one call. When a table endpoint is not enough, drop a SQL file into the queries folder and it becomes a named route with bound parameters, or store the scripts in the database and manage them through the admin API. Turn on the auth module and the server issues JWTs from your own users table, checks them on every route, and enforces table-level permissions so public tables stay open while payroll stays shut. The same database also appears as a read-only MCP endpoint, which lets Claude, Cursor, and other AI clients discover your tables and query them with your permissions instead of a copied export. One process can front several databases at once, Postgres and MySQL side by side, each under its own alias for tenants or reporting replicas. An embedded Studio in the same binary browses the catalog and rows, builds GET requests, and invokes MCP tools, so you can inspect everything from the browser before writing a line of client code. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

openGym is a self-hosted gym and body-weight tracker that plans your weekly routines, guides every set with pre-filled weights and rest timers, and keeps your training data on a server you control instead of inside a subscription app. Over 5,600 exercises come with animated demos, searchable by body part and the equipment you own, and you can add custom ones with your own photo or video. Progression follows a rule you pick per routine (linear, Greyskull LP, double, triple, or added time), and each target explains where it came from. Supersets, warm-ups, drop sets, rest-pause, timed planks, and cardio by time and speed all log properly, and plate math shows what goes on each side of the bar. A muscle map shows where your volume went, what is still recovering, and what went untrained, beside estimated one-rep maxes, a year-long heatmap, and body weight charted against your goal. Imports from FitNotes, Strong, and Hevy carry your history over. Several people can share one server, each with a private passkey profile, and an optional admin dashboard handles invite-only signup. An optional AI coach, off by default, drafts routines and suggests changes through your own Anthropic, OpenAI, Gemini, or Ollama endpoint, and nothing applies without your approval. The interface speaks 19 languages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Ocular provides a modern personal finance workspace that plots your household income and expenditures across multi-year horizons to eliminate surprises in annual budgeting. Users can define custom income streams, configure recurring fixed obligations like rent and utilities, and allocate discretionary spending allowances into designated category groups. Interactive Sankey diagrams and cumulative balance curves visualize projected net savings trajectories, signaling upcoming cash crunches months in advance. The annual planning matrix breaks down monthly figures across twelve periods, calculates automatic net savings, and highlights active fiscal cycles. Keyboard shortcuts accelerate data entry with inline arithmetic expression evaluation directly inside currency cells. Built-in multi-currency conversion and localization settings allow international households and remote professionals to manage diverse revenue streams effortlessly. A dedicated privacy mode masks sensitive monetary amounts when working in public spaces, while complete ledgers export cleanly as portable JSON archives. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Imp runs large AI chat models privately on one NVIDIA RTX 50 or RTX PRO graphics card, exposing them through OpenAI and Anthropic compatible APIs plus a built-in browser chat. Start it with a single Docker command, point it at a model, and the chat opens in your browser with saved conversations and a live readout of generation speed. Coding agents such as Claude Code and Codex connect by changing one base URL, so your editor talks to the model on your own hardware instead of a rented cloud endpoint. Tool calls, structured JSON output, streaming responses, and reasoning models all work over the wire, and requests can be protected with an API key, per-IP rate limits, and concurrency caps. Load GGUF files you already have or NVFP4 and FP8 SafeTensors checkpoints straight from Hugging Face with no conversion step before the first answer. When a model is bigger than the card, mixture-of-experts weights stay in system RAM while the busiest experts are cached on the GPU, so a 123.6 GiB model still answers from a 32 GB card. Supported models can also read images alongside text, and tokenize, health, and model listing endpoints make the server easy to wire into scripts and monitors. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

PilotDeck introduces a WorkSpace-first architecture where each project receives its own isolated file system, memory store, and skill set, preventing context bleed between parallel tasks. White-box memory makes generation, extraction, storage, and retrieval fully visible, letting users audit, edit, pin, and rollback individual entries when the agent misremembers, while Dream Mode consolidates memory fragments during idle windows. Smart Routing auto-detects task difficulty and sends complex calls to flagship models like Claude Sonnet or GPT-4o while routing simple requests to lighter models, achieving claimed 70% cost savings through on-device and cloud co-orchestration with TokenSaver tiering and sticky session binding. Always-on background execution keeps agents running after the user closes the browser, with Discovery and Cron-based scheduling for recurring workflows. The platform natively supports the Model Context Protocol for first-class MCP server integration, community skills via ClawHub on npm, lifecycle hooks intercepting PreToolUse and UserPromptSubmit events, and custom memory store providers. Multi-provider fallback automatically switches to backup providers on timeout or rate-limit errors. The WebSocket and HTTP gateway serves web, CLI, desktop, and Feishu IM channels from a single configuration. 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.