Invisible Dots is a self-hosted, open-source platform for deploying and managing persistent AI agents ('Dots'). Each Dot operates within its own dedicated QEMU virtual machine, providing a secure, isolated environment with a full Linux desktop, browser, and file system. The platform is designed for undetectability and long-running autonomy, serving as an open-source alternative to proprietary agent services. The system is a polyglot monorepo with a strict separation between the host control plane (TypeScript) and the guest agent (Go) and engine (Python). The host manages VM lifecycle, scheduling, a web UI, CLI, and messaging channels (Telegram/WhatsApp). The guest runs a Go daemon for low-level system access and a Python engine (forked from nanobot) that orchestrates LLM calls, tool execution, and permissions. Key features include a granular permission system with approval workflows, a cron-like task/automation system, cost capping per task, and a comprehensive benchmark suite for evaluating agent capabilities. The codebase demonstrates exceptional engineering craftsmanship with clean abstractions (Database, Channels, Computer), robust testing strategies (contract tests, fakes, e2e), and reusable utility libraries (ISO writer, SSE parser, atomic file operations). While primarily an application, the project includes a significant research-oriented benchmark suite (tests/bench) and the engine itself is a research fork (nanobot), giving it a hybrid character. The core value, however, is as a production-grade application platform.