Agents with tool use, deep research, a document editor, an IMAP/SMTP email client with AI triage, notes, tasks, and a CalDAV-synced calendar - Odysseus bundles all of it into one open-source, self-hosted AI workspace. It runs local models through Ollama, vLLM, or llama.cpp and cloud APIs like OpenAI and OpenRouter, with a hardware-aware Cookbook that scans your machine and recommends quantized models that fit. Persistent memory uses ChromaDB with hybrid vector-plus-keyword retrieval, web search runs through a bundled SearXNG instance, and agents can use MCP servers, files, and shell access with safety controls, plus custom skills and scheduled agent tasks. A blind Compare mode runs side-by-side model duels with identities hidden and accumulates Elo-style ratings from your votes, so model selection is based on your actual workloads rather than leaderboard claims. Deep research mode - adapted from the Tongyi DeepResearch approach - reads sources through SearXNG and produces cited reports, while the email client tags, summarizes, sets reminders, and drafts replies locally rather than through a third-party mail AI. The writing-first document editor adds AI edits, Markdown and HTML support, and version history. The stack is Python 3.11 with FastAPI, SQLite for state, and a vanilla JS frontend, licensed AGPL-3.0 with zero telemetry. Because agents can read email and execute commands, keep authentication enabled and never expose it as a public unauthenticated service.

EveryOS gives the Linux server you already own a desktop it never had: open a browser and your machine greets you with windows you can move, snap, and stack, a dock, virtual desktops, widgets, and a launcher, all remembering exactly how you left them. Your files live in a private home with the usual folders, previews, a text editor, and a trash you can restore from, and plugging in a USB disk makes it appear on the desktop ready to mount. An app store installs self-hosted applications from catalogs and follows each deployment, later offering updates that keep your settings, rollbacks when one goes wrong, and backups of app data. The same workspace watches the machine itself: CPU, memory, disk, and network at a glance, systemd services and logs, available package updates, and a Docker view for containers and Compose projects. A real terminal opens in the browser under your own Linux account, Home Assistant arrives as a panel and desktop widgets with its tokens kept on the server, and an AI assistants app can find or install a local model server such as Ollama and chat with it privately. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Picture a small staff of AI agents clocking in on your own server, each with a name, a specialty, its own model, and a private Linux desktop it can click around in. Every agent works inside a disposable Docker workstation with a shell, persistent files, and a Chromium browser, so it can research the web, write and run code, and finish multi-step tasks without touching your own files. You watch an agent click and type in real time, and when a login, payment, or one-time code needs a human, you take over the desktop, then hand it back with a note and let it continue. Pair a Telegram bot by scanning a QR code and you can assign work, answer questions, and receive results from your phone, with no public URL or port forwarding. Routines turn recurring requests into schedules, so a morning briefing, a price watch, or a weekly report runs by itself and reports back when it is done. Each agent can use a different model, from OpenAI, Anthropic, Google, xAI, Groq, Mistral, or DeepSeek to a local Ollama endpoint, and every reply shows its cost while a monthly budget pauses paid models automatically. Agents remember what matters about you across every thread, and logins or cards you save sit in an encrypted vault the agents themselves never see. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT 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.

Open the page, write a Markdown note, move on - Memos is a lightweight, self-hosted service built for quick capture. Instead of folders, notebooks, and titles, it presents a timeline: open the page, write a Markdown note, and move on. Notes support headings, code blocks with syntax highlighting, task lists, tables, and file attachments, with tags auto-extracted from #hashtags in the text. Each memo carries a visibility level, private, protected (logged-in users), or public, so one instance works as a personal log, a small team wiki, or a lightweight microblog. The backend is a single Go binary with a React frontend, around 50 MB of memory at runtime and a ~20 MB Docker image, so it fits comfortably on the smallest instance size with near-zero maintenance. SQLite is the default store, with MySQL and PostgreSQL supported for multi-user deployments needing more concurrency, and full REST and gRPC APIs - Connect RPC for browsers, gRPC-Gateway for external tools - make capture scriptable from CLIs, bots, and automation platforms. Fast full-text search spans all memos, pinned notes keep references handy, and a masonry view suits visual browsing. MIT-licensed with zero telemetry; content is stored as plain Markdown in a database you control, so notes remain readable, exportable, and free of proprietary formats.

A self-hosted "second brain": Khoj indexes your own files and answers questions from them, parsing Markdown (whole Obsidian vaults included), org-mode, PDF, Word, plain text, Notion pages, GitHub repositories, and images described by a vision model, then embedding everything with sentence-transformers into a vector index for semantic search and RAG with cited sources. Any LLM backend works: local models like Llama, Qwen, or Mistral via Ollama, or cloud models like GPT, Claude, and Gemini. You can build custom agents, each with its own persona, scoped knowledge base, chat model, and tools such as web search and code execution. Scheduled automations run recurring research and deliver newsletters or notifications to your inbox, and research mode performs multi-hop web searches with inline citations. Access it from a browser, the Obsidian plugin, Emacs, desktop, or WhatsApp - all clients connect to the same self-hosted instance, making Khoj one of the few AI assistants Emacs users can point at decades of org files. Semantic search means recall works without exact keywords: "that paper about forecasting with transformers" surfaces the right PDF even when you cannot remember its title. Switching LLM backends never requires re-indexing your documents, and with a local model via Ollama, even inference stays on hardware you control - journals, research, and private notes are never sent anywhere. Python/FastAPI stack, AGPL-licensed, with PostgreSQL storage.

Edi Life OS puts the habits, goals, projects, money, focus sessions, and notes that usually live in five separate apps into one calm dashboard on your own server. Start the day from an Overview that rolls focus, habit trends, goals, finances, and the week ahead into one readable score. Connect long-term goals to six life areas, drive progress from a checklist, a measure, or a habit you actually keep, and use weekly, monthly, or quarterly reviews to choose the next honest step. Log daily habits with streaks and monthly progress, run timed focus sessions with short and long breaks, and keep a history of the deep work you finished. Track expenses, income, budgets, debts, and credits in your chosen currency, including recurring entries that land straight in the ledger. Plan projects on draggable Kanban boards with labels, priorities, due dates, checklists, comments, and attachments, then see card deadlines and money dues together in one calendar. Capture Markdown notes with preview and export, pin sticky notes with colors and connections, and give each account its own private workspace, theme, and currency. Ask an AI assistant through the optional MCP server to read your dashboard, create goals, log habits, or record expenses through a token-protected API that never touches the database 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.

Your team's group chat could have a colleague who has read every email, ticket, and document, remembers all of it, and answers in seconds; MindRoom puts AI agents like that into your chat rooms as full participants. Each agent is a real user on the open Matrix protocol, so you talk to it in MindRoom Chat on web or mobile, in any other Matrix client, or through bridges in Slack, Telegram, WhatsApp, and Discord. Give every agent its own model: a local model for private rooms, a frontier model for hard coding problems, and switch per room or thread whenever the work changes. Agents connect to more than 100 tools, including Gmail, calendars, GitHub, Google Drive, Home Assistant, and any MCP server, and they search your own documents and knowledge bases for answers with sources. Memory persists across conversations and platforms, so an agent remembers people, preferences, and project context months later and can turn repeated work into reusable skills. Before an agent sends an email or runs a command, an approval card shows exactly what will happen; you tap once to allow it, and sandboxed workers keep executed code away from your credentials. Schedule morning briefings, silent inbox checks, and recurring digests in plain language, or wake an agent from any other system with a single HTTP request. 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.

Roughly $1M of development work, open-sourced: Maybe Finance began as a $249/year commercial personal finance product before the company released it all. It aggregates bank accounts, credit cards, loans, investments, crypto, and real estate into a single net worth dashboard with historical trend charts - replacing the spreadsheet that usually glues a whole portfolio together. Transactions are categorized and tagged with rules, with merchant tracking and search across imported or synced activity; budgets track spending by category against plan; and the investment view follows holdings, cost basis, and returns across brokerage accounts. Multi-currency support converts accounts held in different currencies into a single reporting currency, bank synchronization works through Plaid where supported, and manual CSV import covers any institution. An optional AI assistant answers questions grounded in your own financial data. Because the app was built as a paid product with professional design before being open-sourced, its interface quality exceeds most community finance tools - and self-hosting means your balances and transactions are not monetized by a free app or gated behind an annual subscription. The stack is Ruby on Rails with Hotwire on PostgreSQL, licensed AGPL-3.0 and deployed via Docker. The original repository is archived; development continues in the community fork Sure, compatible with the same self-hosted setup.

While ordinary chatbots sit idle between prompts, Agenvoy runs around the clock on your own machine, turning one-sentence requests into finished research, files, and reports. Say what you need once and it builds the missing tool itself, tests that tool inside a sandbox, saves it, and reaches for it again the next time a similar job appears. Recurring work becomes a schedule in plain words; a morning briefing, a watched folder, or a weekly report then runs unattended, and a long task interrupted mid-run resumes from its checkpoint instead of starting over. Ask questions about your own files and it searches them like a private archive, transcribing audio and video into text it can quote back to you. Each task is routed to the model tier that fits it, a light model for lookups and a heavy one for hard reasoning, across subscription logins, API keys from eleven providers, or a local Ollama that never phones home. Commands run in a sandbox with the network off until you approve a call, sensitive paths ask before they open, and credentials wait in the system keychain instead of the chat history. You drive it from the terminal, the browser dashboard, or Telegram and Discord when you are away from the desk, and it lends its sandboxed tools to Claude Code and Codex over MCP. 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 cycle history is among the most personal data you will ever record, and Ovumcy keeps it on a server you control instead of a tracker's cloud. Log period days, flow intensity, symptoms, and free-form notes in seconds from any browser, and define your own custom symptoms when the preset list misses something you feel. The calendar view lays out your month with predicted period, ovulation, and fertile-window days marked, while statistics views surface cycle length trends and patterns across months. Predictions come from your own logged history, refined when temperature or cervical-mucus entries sharpen the estimate. Reminders reach you three ways: a dashboard banner before an expected period, a webhook ping to your own ntfy or Gotify server, or a private read-only calendar subscription that drops estimates into the calendar app you already use. Install it to your phone home screen and it opens like a native app, in English, Russian, Spanish, French, German, or Italian. Export the full history as CSV or JSON whenever you want a backup or a change of tools. Optional OIDC sign-in and TOTP two-factor authentication protect access, and the app makes no analytics or telemetry calls at all. 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 contacts live in four different address books; Contrack merges Apple, Google, LinkedIn, and Facebook into one self-hosted personal CRM you fully control. Importing merges the address books you already keep, and connecting a calendar or inbox lays past meetings and conversations along each person's timeline. Obvious duplicates merge themselves, borderline matches wait in a side-by-side review with field-level differences highlighted, and every merge can be undone for 90 days. A scribbled note such as 'met at Sarah's wedding, catch up quarterly' turns into fields, tags, dates, and reminders, while optional web research fills in roles and links with cited sources. Each morning, Pulse shows who is due a follow-up, whose birthday lands this week, and which friends have quietly gone a year without contact. Ask Contrack answers plain questions like 'who do I know in Lisbon' or 'who loves natural wine' by searching your notes and contacts locally. The map plots everyone by city, and drawing a loop around a neighborhood before a trip turns a visit into a dinner list in seconds. Households share one server while each profile keeps a private book, and the built-in MCP server lets Claude, ChatGPT, or Cursor look up context and log notes for you. One-click verified backups snapshot the whole address book, passkeys handle sign-in, and open exports mean your data leaves whenever you do. 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.

Memos, the lightweight open-source note service from the usememos project, packaged as a containerized deployment for multi-architecture Docker hosts (x86-64 and arm64): that is Usermemos. The model is frictionless capture: no folders or titles, just a chronological stream of Markdown notes with code blocks, task lists, tables, and file attachments, organized by #hashtags pulled automatically from the text. Per-memo visibility - private, protected for logged-in users, or public - lets a single instance serve as a personal journal, a shared team log, or a public microblog simultaneously. Multi-user support with authentication makes it workable for small teams, and full REST and gRPC APIs open capture and retrieval to CLIs, bots, and automation tools. The runtime is a single Go binary with a React frontend that idles around 50 MB of memory and stores content as plain Markdown in SQLite by default, with MySQL and PostgreSQL available for heavier deployments. Configuration happens through environment variables, access works over HTTP or HTTPS behind a reverse proxy, and there is no telemetry - notes stay on your server in a portable format.

Marfa is a data layer you run yourself, where your notes, tasks, reading, and records live in one typed store that any app, script, or AI agent you allow can read and write. You decide what kinds of things you keep and how they connect, and the server checks every write against that structure, so a task, a book, and a person stay linked instead of scattered across five apps. Connectors pull in what already lives elsewhere, from GitHub repositories and issues, Todoist tasks, Readwise highlights, and RSS feeds, each writing under its own type with its own key. Keys are scoped, so the script that imports your reading list can never touch your tasks, and every change flows back out through a live event stream and full-text search. The marfa command line writes and reads from scripts and agents, the TypeScript SDK builds web apps on the same API, and the Swift SDK keeps an offline working copy on your devices that syncs its writes when your instance is reachable again. A folders command mirrors your notes as plain Markdown files on disk. Everything sits in one SQLite database and a folder of files on your server, with container deployment that streams backups to your own bucket. 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.

Links stop drowning in browser bookmarks once Heimdall - the application dashboard from the LinuxServer.io team - gives every web app and service you run a single, organized front door. Items come in three tiers. Generic items link to anything on the web with a name, color, and optional icon. Foundation apps are recognized as you type, auto-filling the application's icon and tile color so a full homelab dashboard assembles in minutes. Enhanced apps go further: supply API credentials and the tile shows live data - queue size and download speed for SABnzbd and NZBGet, plus integrations for Sonarr, Radarr, Plex, Jellyfin, Pi-hole, Portainer, Transmission, and many more. There are no iframes and no apps-within-apps; tiles are honest links with real-time stats layered on. Tiles arrange by drag and drop, backgrounds are customizable, an optional search bar (Google, Bing, or DuckDuckGo) makes it work as a browser start page, and optional multi-user authentication keeps dashboards personal. Built on Laravel with SQLite file-based storage - no external database - it stays light, responsive on mobile, and simple to back up. A natural first deployment: the page that ties every other self-hosted service together.

DailyHub is one calm page for a single person's whole day: today's open work grouped by project, the habits due this morning, and an inbox that catches everything that does not belong anywhere yet. The Today view greets you with a quick-add box, nudges about what is slipping, and a progress bar that fills as the day gets done. Focus mode pins the projects or tasks that matter and hides the rest until a date you pick or until you clear it, so the full list stops shouting. Projects carry status, due dates, and milestones, wear logos with accent colours derived from them automatically, and raise a banner when work stalls. Habits run on weekday schedules and report back with a 14-day consistency strip and a completion rate, so a streak is something you can see rather than guess. Analytics chart completions over time, break them down per project, and surface the weekday patterns that show when you actually get things done. A command palette jumps to any project, task, habit, or milestone from the keyboard, and light and dark themes keep long planning sessions easy on the eyes. An AI assistant can join through the built-in MCP endpoint: ask what is still open in the inbox, add a task to the website project for Friday, or mark today's workout done. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Renewlet is a self-hosted subscription ledger that shows exactly what your recurring services cost each month and warns you before every renewal, so no charge lands unannounced again. Record each subscription once with its price, currency, billing cycle, renewal date, payment method, and notes, and the dashboard keeps the monthly and yearly totals current, compares them against a budget you set, and converts between currencies. Reminders go out in each user's own time zone through Telegram, Discord, email, webhooks, and six more channels, with repeat reminders, delivery history, and retries when a send fails. Adding subscriptions takes seconds: point the AI recognition at a bill screenshot, a note, or a pasted table and it drafts the entries for your review, or import data from Wallos and other exports. Every subscription can join a shared calendar feed or publish its own ICS feed, and a public status page can show your stack with prices hidden. Accounts are protected with authenticator codes, recovery codes, and passkey sign-in. A read-only public API lets CLI tools and Shortcuts query your subscriptions, and the whole app runs in a single Docker container or on Cloudflare Workers. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

After the bills are covered, how much is actually safe to spend? monetr organizes an entire budgeting application around that one question. Inspired by the defunct Simple bank, it budgets paycheck by paycheck rather than month by month. Funding schedules encode when you get paid - including multiple schedules per account and a weekend-exclusion option for deposits that land early - and every expense or savings goal is tied to one. monetr then calculates how much of each recurring obligation (rent, car payment, subscriptions, on any repeat interval) to set aside from each paycheck, so a large bill never has to come out of a single check. What remains after allocations is surfaced as Free-To-Use, and a forecasting timeline projects contributions, due dates, and leftover funds forward so low-balance periods are visible before they happen. Transactions arrive either as OFX uploads from your bank or automatically through a Plaid connection using your own API credentials, keeping balances and transactions synced without manual entry. The app is mobile-friendly and installable as a PWA on desktop or phone. Self-hosting via Docker Compose is completely free, with all source code public and your financial data on your own hardware.