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.

Spam bots flood busy Telegram groups with crypto scams and phishing links faster than human admins can delete them; TG-Spam watches every message and removes the junk before your members see it. Each message is scored by several checks at once: similarity to known spam samples, a stop-word dictionary, emoji and link counts, and a lookup against the Combot Anti-Spam database of known spammers. For borderline cases you can add OpenAI or Gemini as an extra judge, or write your own detection rules as Lua plugins that run inside the bot. The bot learns while you moderate: when admins approve a flagged message or ban a user it missed, the samples update, so the same trick fails next time. Members can report spam with a reply, repeat offenders accumulate warnings toward an automatic ban, and an admin chat gives your team one place to review borderline calls. Turn on the built-in server and the same engine answers spam checks over HTTP for your other tools, with a web UI to test messages, manage samples and dictionaries, and control the approved-user list. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.