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.

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.

Stocks, ETFs, crypto, bonds, precious metals, and cash across every account and currency, in one privacy-first dashboard: Ghostfolio is open-source wealth management software. The deliberate design decision is no brokerage linking: positions enter by manual entry, CSV import, or the REST API, so your holdings never pass through a data aggregator. Performance is measured as return on average investment across Today, WTD, MTD, YTD, 1Y, 5Y, and Max timeframes, with benchmark comparison against indices like the S&P 500, dividend tracking, and allocation breakdowns by asset class, region, and sector. A static X-ray analysis flags concentration and other portfolio risks, and a FIRE calculator projects progress toward financial independence. Multi-currency support converts holdings using historical exchange rates, market data comes from Yahoo Finance and CoinGecko among other pluggable providers, and everything exports back out as CSV or JSON. Built with Angular and NestJS on PostgreSQL and Redis, shipped as Docker images for amd64 and ARM, with a mobile-first PWA interface, dark mode, and a distraction-free Zen mode. AGPL-licensed.

Track every recurring payment you have, from streaming services to SaaS tools, and get AI-powered recommendations on where to cut costs. Wallos manages subscriptions with automatic due date reminders delivered through email, Discord, Telegram, Pushover, Gotify, or custom webhooks so renewal charges never catch you off guard. Multi-currency support handles international subscriptions while the Fixer API converts everything to your primary currency for unified budget visibility. The statistics dashboard breaks down monthly and yearly spending by customizable categories, revealing consumption patterns and highlighting savings opportunities. AI analysis via ChatGPT, Gemini, or a locally-hosted Ollama instance reviews your subscription portfolio and suggests alternatives or consolidation strategies. Logo search automatically fetches brand imagery so your subscription list stays visually organized without manual uploads. Authentication supports OIDC with OAuth for enterprise environments, and the mobile-responsive interface works on any device with customizable themes and multi-language support. The PHP 8.3 application with SQLite backend runs from a single Docker container (bellamy/wallos image) with two persistent volumes for database and logos on port 8282. Deploy on RepoCloud with a dedicated VPS, keeping all financial data private under the GPL-3.0 license.

Every unit of income gets a job in Actual Budget - a local-first personal finance app built on envelope (zero-sum) budgeting, where you can only budget cash you actually have, which keeps the plan honest by construction. The data model is a SQLite file that lives on your device and works fully offline; the self-hosted Node.js sync server adds background multi-device synchronization using CRDT-based distributed-systems machinery, browser and mobile access as an installable web app, and automated backups. Optional end-to-end encryption makes the synced data unreadable even to the server hosting it. Transactions enter three ways: manual entry, file import (CSV, QIF, OFX, QFX, CAMT.053), or automatic bank syncing through GoCardless for EU/UK banks and SimpleFIN for US/Canada. Built-in YNAB4 and nYNAB importers migrate complete budget histories, and reports, schedules for recurring transactions, and rule-based transaction cleanup handle the day-to-day. A fully featured local API lets developers script custom importers and automation against their own data. 100% free, open source, and 26k stars strong.

TriliumNext organizes notes in an infinitely deep tree where any single note can be cloned into multiple branches without duplication, building personal knowledge bases that mirror how ideas actually connect rather than forcing a single rigid folder hierarchy. Carrying forward the original Trilium project under active community stewardship with nearly 37,000 GitHub stars, the application is built on TypeScript with a CKEditor 5 WYSIWYG editor supporting rich text, tables, images, KaTeX math expressions, Mermaid diagrams, Excalidraw canvases, mind maps, spreadsheets with XLSX and CSV import/export, and code blocks with full syntax highlighting. A built-in JavaScript scripting engine runs on both frontend and backend, enabling custom widgets, automated workflows, scheduled tasks, and direct interaction with external REST services through a typed Script API. Full-text and fuzzy search with attribute-based queries locates any note instantly across databases tested at over 100,000 notes without performance degradation. The v0.104 release introduced importers for OneNote, Notion, Google Keep, Anytype, and Obsidian alongside 16 dedicated security fixes. Per-note AES encryption, OpenID Connect authentication, and TOTP two-factor protection safeguard sensitive content. The sync server keeps desktop clients, the progressive web app, and mobile devices in lockstep with zero third-party cloud dependency. Web Clipper captures content directly from browsers. 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 24,000 GitHub stars and active development since 2014, Firefly III is the self-hosted personal finance manager that gives you complete control over your financial data without ever contacting external servers. The double-entry bookkeeping system tracks every transaction with source and destination accounts, ensuring accurate balance calculations and audit trails across checking, savings, credit card, cash, and asset accounts. Budget management sets monthly spending limits by category with visual progress tracking and rollover support for unused allocations. Rule-based transaction automation applies categorization, tags, and budget assignments automatically based on configurable conditions matching description, amount, source, and destination patterns. Recurring transactions schedule regular bills, subscriptions, and income entries with automatic creation on configured dates. Piggy banks divide savings accounts into virtual sub-accounts for goal tracking with target amounts and deadlines. Financial reports include income versus expense summaries, budget performance charts, category breakdowns, tag reports, and net worth tracking with weekly, monthly, and yearly time ranges. Multi-currency support handles any currency with configurable exchange rates for international finance tracking. The REST JSON API covers nearly every feature for integration with external tools, import utilities, and the companion Firefly III Data Importer for bank statement processing. Two-factor authentication provides account security. Self-hosting deploys via Docker containers or directly on PHP 8.5+ with MySQL or PostgreSQL. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

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.

No targets, no gamification spiral, no motivational nagging: Beaver Habit Tracker is a self-hosted habit tracker deliberately built without "Goals". The core loop is honest: add habits, check them off each day, watch streaks accumulate on a calendar view. Its design follows behavioral-science basics - make it obvious (visual streak cues), make it attractive (progress is the motivator), make it satisfying (tracking becomes its own reward). Beyond the daily checklist it supports per-day notes intelligently grouped per habit, periodic habits, habit categories and tags, drag-to-reorder (manual or automatic), dark mode, and detailed streak and frequency views. Data lives where you choose: a single SQLite database or flat JSON files on a mounted volume, with JSON export and import for full portability. A REST API opens automation - community integrations already cover Stream Deck buttons, Home Assistant triggers, and CalDAV. The Python app ships as one Docker container with no external dependencies; environment variables tune everything from first day of week and index-page columns to iOS standalone PWA mode, and single-user setups can bypass the login entirely with TRUSTED_LOCAL_EMAIL. BSD-3-Clause licensed with no commercial restrictions - a well-executed single-purpose tool whose mobile PWA works anywhere a browser does.

Securo is a privacy-first personal finance platform that keeps all your financial data in your own PostgreSQL instance while connecting to 2,500+ banks across three continents for automated transaction sync. The FastAPI backend with React/TypeScript frontend deploys via Docker Compose on ports 3000 and 8000, with Redis-backed Celery workers handling background synchronization. Bank connections span approximately 2,500 European PSD2 institutions through Enable Banking across 29 countries, US and international banks via SimpleFIN's open protocol, and Brazilian banks through Pluggy, all refreshing automatically every four hours. Multi-account management tracks checking, savings, credit cards, and investments with running balances. The auto-categorization rules engine applies pattern-matching across merchants and amounts. Goal tracking monitors savings targets with progress visualization, asset management handles stocks and custom instruments with configurable valuation growth rules, and reports generate Net Worth and Income vs Expenses charts with category sparklines. Optional AI Agents provide LLM chat with tool-use over your financial data through MCP, supporting OpenAI, Anthropic, Ollama, and compatible providers with per-agent RAG knowledge bases accessible via a global command palette. Multi-user support includes OIDC login, passkey authentication, TOTP two-factor, privacy mode, and multi-currency FX conversion via Open Exchange Rates. 1,500+ stars since March 2026. 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 34,000+ GitHub stars and a v1.5 release driven by 36 merged community pull requests, DeepTutor from Hong Kong University's Data Science Lab delivers a full agent-native learning workspace that goes far beyond chatbot wrappers. Eight integrated surfaces — Chat, Deep Solve, Quiz Generation, Deep Research, Math Animator, Co-Writer, Book generation, and Mastery Practice — share a unified context so the objective follows the learner, not the tool. The platform's three-layer memory architecture (L1 working, L2 session, L3 long-term) makes personalization inspectable rather than opaque, letting users see exactly what the system remembers and why. Knowledge retrieval operates across five pluggable engines — LlamaIndex with FAISS vectors, PageIndex for page-level citations, GraphRAG for knowledge-graph traversal, LightRAG for local or server-offloaded retrieval, and linked Obsidian vaults — with document parsing via MinerU, Docling, markitdown, or PyMuPDF4LLM. Partners extend the tutoring brain to 15+ messaging platforms including Slack, Discord, Telegram, Matrix with E2EE, and Mattermost, each carrying private memory with branch, resume, and replay capabilities. Subagent integration brings Claude Code, Codex, Gemini, and Kimi directly into learning sessions. The system supports 30+ LLM providers from OpenAI and Anthropic to Ollama for fully local operation, with multi-user isolation, admin controls, and a full CLI interface. 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.

Lyftr delivers a self-hosted workout and nutrition tracker that runs on a small VPS — no subscriptions, no vendor lock-in, no "export is a Pro feature" paywalls. The Go backend with Gin framework provides JWT authentication and a REST API while storing everything in a single SQLite database file you can back up with one copy command. The exercise library ships with 800+ movements auto-seeded on first run, letting you build reusable workout programs with target sets, reps, and weights from day one. Active workout mode provides a guided set-by-set flow through your session while Gym Mode offers a full-screen card layout showing one exercise at a time with an integrated rest timer for focused training. The React frontend built with TypeScript and Tailwind delivers a mobile-first interface featuring a dashboard with weekly session KPIs, daily calorie and protein tracking, 12-week consistency heatmap, volume trend charts, and muscle balance visualization with sparklines. Nutrition tracking connects to Open Food Facts for food search with camera-based barcode scanning, logging calories and macros across customizable meal sections. Bodyweight logging with trend graphs supports both lbs and kg units across all data. An Android APK connects to your self-hosted instance for native mobile access. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

CRM mechanics applied to your actual relationships instead of a sales pipeline: Nametag is a Personal Relationship Manager (PRM). It exists to fix the things you keep forgetting: when you last talked to an old friend, their kids' names, the birthday you missed twice. Contacts are tracked with flexible attributes - names, birthdays, important dates, and free-form notes for everything else - and organized into custom groups. Where it goes beyond a contacts app is relationship mapping: you define how people connect to each other (family, friends, colleagues, or custom relationship types), and an interactive D3.js-powered graph renders your entire personal network so you can see clusters and connections at a glance. Staying in touch is automated: scheduled reminders fire for birthdays, important dates, and reach-out nudges, with optional email delivery via a Resend API key for password resets and reminder notifications. Built with Next.js, it is mobile-responsive, ships with full dark mode, and supports multiple languages including English and Spanish. Because it is self-hosted, there are no account tiers or contact limits - unlimited people and relationships, with every note about your personal life stored on your own server rather than a social-graph company's cloud. A lightweight, single-container deployment makes it one of the easiest personal tools to run.

For people whose notes number in the tens of thousands, Trilium Notes is the hierarchical note-taking application built specifically for large personal knowledge bases - actively maintained as TriliumNext. Notes arrange into arbitrarily deep trees where every note is both content and container, and cloning lets a single note live in multiple places at once - bash notes belong under both Linux and Scripting, and Trilium refuses to make you choose. A WYSIWYG editor handles rich text, tables, math, and syntax-highlighted code blocks with Markdown-style shortcuts, while dedicated note types cover Excalidraw sketches, mind maps, geo maps with GPX tracks, relation maps that visualize connections between notes, and tables with typed columns. The attribute system is the power layer: labels attach queryable metadata (#year=1999, #author), relations create named links between notes, and both inherit down the tree - feeding full-text search, saved queries, and scripting. Scripting is Trilium's deepest differentiator: JavaScript code notes run on events like note changes or hourly schedules, build custom widgets, and add server-side logic, turning the knowledge base into a programmable platform. Protected notes encrypt sensitive content, note hoisting focuses on subtrees, and the self-hosted server syncs desktop clients across devices.

A server full of scattered services becomes one clean application hub under Flame - a self-hosted startpage where every bit of configuration happens in built-in GUI editors, never a config file. Applications and bookmarks are created, edited, and organized into categories directly in the browser, and favorites pin to the homescreen for one-click access. The integrated search bar filters your apps and bookmarks locally as you type, and prefix shortcuts (like /g for Google) route queries to any of 11 web search providers or custom ones you define, making Flame a genuine browser homepage rather than a static link wall. Docker integration is the standout for homelabs: mount the Docker socket, add flame.type, flame.name, and flame.url labels to containers, and new services appear on the dashboard automatically - Kubernetes Ingress annotations work the same way. A weather widget shows temperature, cloud coverage, and animated conditions for your coordinates, and password authentication protects settings and items. Appearance is deeply customizable with 15 built-in color themes, a custom theme builder, and full custom CSS support. The stack is Node.js with SQLite behind a React frontend - light, fast, and inspired by the minimalist SUI design.

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.

Managing household finances and personal investments becomes completely private with ezBookkeeping, a self-hosted accounting platform that combines multi-currency ledger tracking, automated bank imports, and AI-assisted receipt analysis into a responsive financial dashboard. Users can record daily income, expenses, and asset transfers using hierarchical two-level accounts and customizable tags, attaching photographic receipts and geographic location coordinates to individual entries. The automated data ingestion engine processes bank statements across standardized CSV, OFX, QIF, CAMT, and MT940 files, applying user-defined column mappings and custom conversion scripts to eliminate manual bookkeeping. Financial planners can schedule recurring bills, configure monthly category spending limits, and track asset distribution with interactive charts, trend graphs, and activity heatmaps in the Insight Explorer. Integrated artificial intelligence tools scan uploaded invoice photos to extract line items automatically while a native Model Context Protocol server lets external desktop assistants query balances and audit budgets safely. Security features include time-based two-factor authentication, single sign-on via standard identity providers, and biometric passkey screen locks that secure private monetary ledgers on shared computers. Account owners can export full audit histories to portable spreadsheets, manage multi-currency exchange rate tables, and access clean web interfaces on both desktop monitors and mobile devices. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With 4,300+ GitHub stars and native mobile apps on three platforms, Black Candy transforms any VPS into a private Spotify-style streaming service for your personal music collection. The Ruby on Rails 7 backend with Hotwire Turbo and Stimulus delivers a responsive single-page-feeling web player supporting album browsing, artist views, playlists, favorites, and queue management without full page reloads. Point it at a media directory containing MP3, FLAC, OGG, AAC, or WAV files and Black Candy indexes metadata, fetches album artwork from Discogs API, and begins streaming immediately with on-the-fly transcoding that adapts bitrate to client bandwidth. Multi-user support gives each account independent playlists, favorites, and listening history while sharing the same music library — ideal for families or shared households. Native iOS, Android, and F-Droid apps maintained as separate repositories provide offline caching, background playback, and server discovery for mobile listening. The admin panel manages user accounts, configures media paths, and sets Discogs API tokens for automatic cover art retrieval. Deployment requires one Docker command — `docker run -p 80:80 ghcr.io/blackcandy-org/blackcandy:latest` — with persistent storage volumes for the SQLite database and media directory. For larger deployments, switch to PostgreSQL via environment variables with dedicated database URLs for ActionCable, SolidQueue, and SolidCache. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.