Recurring household chores and shared team checklists stay on schedule when Donetick coordinates assignments, reminders, and completion tracking from one self-hosted hub. Type a phrase like "change water filter every 6 months" and the natural-language parser extracts the due date and cadence automatically. Adaptive scheduling even adjusts future intervals from your actual completion history. Rotation rules distribute tasks fairly across family members or roommates via round-robin, random, or least-completed logic. Nested subtasks reset themselves each cycle. Finished chores earn points in the built-in gamification engine that members redeem in an admin-approved reward store. Stateful "Things" track numerical, boolean, or text metrics to trigger tasks automatically when values change. Tap physical NFC tags to check off chores on the spot, or mount a dedicated kiosk dashboard on a wall tablet for one-tap account switching. Real-time updates sync across devices alongside iCal calendar feeds, Home Assistant cards, OIDC single sign-on, and Pushover or Telegram notifications. 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 2,700 GitHub stars, Auto Company is the first open-source framework that runs a fully autonomous AI company 24/7 — 14 specialized agents modeled after Jeff Bezos (CEO strategy), Werner Vogels (CTO architecture), Charlie Munger (critical analysis), DHH (full-stack engineering), Kelsey Hightower (DevOps), Seth Godin (marketing), and eight more domain experts collaborate through dynamic squad formation to ideate products, write code, deploy infrastructure, and execute marketing campaigns without human intervention. The five-layer architecture separates execution, orchestration, cognition, workflow routing, and observability, while the consensus memory pattern uses a single markdown file as a relay baton between cycles — no vector databases, no Redis, no embeddings required. A bash loop invokes Claude Code or OpenAI Codex CLI every 30 seconds, each cycle selecting 2-5 agents from the 14-person pool based on task context. Over 30 reusable skills handle specialized tasks from frontend design to competitive analysis and deployment automation. Circuit breakers trigger cooldown after consecutive errors, rate-limit detection auto-sleeps on API throttling, and sandbox rollback protects against destructive changes. The Python-powered web dashboard displays real-time cycle status, cost tracking per cycle averaging under $2, and agent activity visualization, with CLI control via make start, stop, monitor, pause, and resume. Supports macOS via launchd, Windows via WSL with systemd, and native Linux deployment. The npx create-auto-co command scaffolds a new AI company in seconds. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Inside your Git platform, AI-Git-Bot works as a self-hosted teammate that quietly handles the engineering chores everyone agrees matter and nobody has time for. Open a pull request and it reviews the diff with inline findings, re-reviews after a force-push, and answers questions when you mention it in the discussion, keeping the conversation context across updates. Assign it an issue and it can rewrite that issue with structure and acceptance criteria, route it to the right assignee with a stated reason, or implement it and open a pull request for you. It generates unit tests for new code, builds Playwright end-to-end suites and runs them against a preview environment, then posts the results back to the pull request. Documentation and locale files stop drifting, because README sync and translation coverage workflows update them as the code changes. Every run is observable through built-in metrics and signed outgoing webhooks, and you choose the brain behind it, from cloud models to a local model on your own hardware, so source code never has to leave 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.

Whoever vacuums the living room this week should not be decided by whoever loses the argument, so TidyQuest turns household chores into quests with health bars, coins, and a family leaderboard. Every chore gets a health indicator that drains as its due date approaches, which makes overdue cleaning visible at a glance instead of festering in a group chat. Completing tasks pays coins into a personal wallet, builds daily and weekly streaks, and unlocks twelve milestone achievements from first chore to a thirty day run. Coins buy entries from a reward catalog your household defines, whether that is picking the Friday movie, extra game time, or sleeping in, and parents approve each redemption before it counts. Rooms organize work around the eight built-in spaces, from kitchen and bathroom to garage and garden, seeded with more than sixty predefined chores at realistic intervals. Assignment modes decide how credit lands: the first finisher takes everything, assignees split coins equally, or custom percentages reward whoever does the heavier share, while a strict mode requires admin approval before completions count. Reminders reach phones through web push, Telegram, ntfy, or Home Assistant, and vacation mode pauses decay for anyone away. A calmer couple mode strips the game layer away entirely, leaving plain shared tracking for households that just want the list. 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.