Which agent should answer a question that just arrived in your QQ group, and how much of the conversation should it see? RabiRoute is the self-hosted message gateway that answers those routing questions before your agent ever wakes up. Chat messages from QQ groups and direct chats (through NapCat and OneBot), webhooks, schedules, voice, desktop selections, and device events all arrive at one gateway, and message Routes decide which agent or local program receives each one. Every role keeps its own message history plus references to plans, memories, and skills, while each Route limits how many recent messages travel with a delivery. Roles can also fire agents on interval, time-window, daily, or one-time schedules, or run a configured local script, so recurring checks and reports happen without anyone typing a prompt. Replies to QQ, RabiLink, and other channels leave through a single sending API that validates targets, quoted messages, and sender identity, then records receipts for everything delivered. The Windows desktop side adds selected-text actions, screenshots, and annotations; speech, phone, glasses, wearable, and remote-computer clients connect as experimental integrations, and the Linux Host serves the Manager and browser WebGUI from a Node.js process. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Small teams do not need another cloud subscription to know who is doing what this week: Work-Calendar runs your whole plan, do, finish, archive loop on one little server you own. The week view lays out every member's tasks across seven day columns with today highlighted, so standups start from the same picture instead of five private lists. Three kinds of tasks cover real work: project tasks, one-off tasks you can assign to yourself or teammates, and fixed recurring tasks on daily, weekday, monthly, or specific-date schedules. Anything unfinished carries over to the next day automatically, and completion records can be corrected by the assignee or sent back with a reason by the owner. Projects get spaces with folders, files up to 20MB, meetings with AI-generated minutes from pasted or dictated transcripts, timelines, and closing reports that an admin approves. Roles for superadmin, admin, and member, plus per-group rules, decide who may create projects directly, who needs approval, and who can use the built-in AI assistant, which drafts task and project changes as reviewable cards rather than acting silently. Inbox notifications, personal diaries, and daily statistics round out the routine, and keyboard shortcuts drive the whole interface. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

A backup nobody has restored is only a hope, so DockNest backs up your Docker sites to storage you own and proves each one by restoring it to a private copy. It connects to your Linux servers over SSH and finds the Docker projects and static nginx sites on them. Schedules, retention, and pinned backups are set per site. A Map page draws your servers, sites, and backup storage as connected nodes, and dragging a site to another server moves it, with a backup first and the old copy kept stopped for seven days. Jobs show live progress, a step timeline, and plain-language reasons when something fails. Automatic restore tests bring the latest backup up on a test server and check it. Hardening scores grade each site from A to F with a fix for every finding, and server cleanup previews reclaimable space before anything is removed. Alerts reach Telegram, Slack, Discord, email, ntfy, and many more channels. Backups are encrypted with AES-256-GCM, sign-in needs an authenticator app, and the interface offers light and dark themes plus a phone layout. 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.

Close the laptop, walk away, and your coding agents keep working; CodeRail is the remote control that lets you supervise them from a browser or your phone without handing your machines to anyone's cloud. A small bridge on each computer connects outbound to your server, so there are no open ports and no VPN to babysit, and each machine keeps its own Claude Code and Codex logins because CodeRail never holds your AI keys. Chats show plans, tool calls, models, modes, and background tasks, and when an agent wants to run something sensitive, the approval lands with you wherever you are, including as a phone push notification. Real terminals outlive the browser tab, files can be viewed, edited, uploaded, and downloaded in place, and git work, pull requests included, sits beside the conversation that produced it. Each chat even gets a browser on the computer itself, shared live with everyone in the chat and drivable by the agent. Roles run Owner, Operator, or Viewer per computer, narrowed down to folders and agents, with every change audited, and sessions keep running with every browser closed while history stays readable offline. 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.

Training, meals, and body changes usually live in three different apps, and LiftCut puts them in one bilingual tracker where an AI agent helps keep the log instead of just drawing charts. Tell it what you ate, what you lifted, or what the scale said in plain language, in Chinese or English, and it prepares the entry from the exact numbers you gave, never inventing nutrients or weights, and saves nothing until you confirm it. Workout plans are editable rather than rigid programs, text import brings existing routines in, logging tracks completion and exercise performance, and personal records and PDF exports mark how far you have come. Food logs roll into nutrition summaries, and dated body measurements draw trend charts beside your training, so cause and effect sit on the same screen. AI training and nutrition proposals read your saved goals, restrictions, measurements, and recent actual loads first, then pass through extraction, strict validation, and an editable preview, and a proposal is rejected if the records it relied on changed in the meantime. Begin in the public no-sign-in demo or local-first guest mode, then create an account and migrate your history when ready, with offline queues holding entries until a connection returns. Providers span DeepSeek, any OpenAI-compatible endpoint, or a local vLLM server, so the intelligence can stay on hardware you control. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.