Building autonomous solutions for your desktops.

Pluto

Pluto

Autonomous Software Operator
Beta testing starts late November 2026

An autonomous software operator engineered by Hylunian for desktop environments. Features native subprocess execution, persistent SQLite WAL memory vaults, containerized browser automation, and publication-grade LaTeX compilers.

Subprocess Terminal Control
Native shell execution governed by strict deterministic safety policies.
Persistent Memory Vaults
SQLite WAL databases preserving execution state and conversation graphs.
8 Verified Platform Connectors
WhatsApp, Gmail, Chrome, Google Calendar, Spotify, Telegram, YouTube, LinkedIn.
Desktop Workspace Integration
Automates terminal subprocesses, browser workflows, and project files directly in your desktop workspace.
Engineering Foundations

Core Engineering Principles

We build systems from first principles. Every autonomous process follows an explicit verification and safety lifecycle.

01

Deterministic Verification

We never assume an action succeeded simply because a command was dispatched. Every system follows the strict pipeline: Decide → Act → Observe → Verify → Recover.

02

Desktop Environment Execution

Real autonomy requires deterministic execution and reliability. Running workflows directly on your desktop environment provides low latency and direct tool access.

03

Inspectable & Safe Operations

No black-box actions. Subprocess calls, file modifications, and API interactions are bounded by explicit policies with operator observability.

Company Direction

Future Plans & Technical Roadmap

Our roadmap focuses on expanding verifiable autonomous operations and workstation developer tools.

Phase 1: Late November 2026

Pluto Developer Beta Cohort Launch

Rollout of Pluto to registered builders and engineers. Validating workstation subprocess security policies, persistent SQLite memory vaults, and multi-tool orchestration.

Phase 2: 2027

Multi-Node Daemon Coordination

Expanding autonomous agent coordination across multiple machines and local daemons, with cryptographic verification trails and automated recovery.

Phase 3: Long-Term Horizon

End-to-End Autonomous Engineering Workflows

Enabling intelligent software systems capable of autonomously understanding goals, planning multi-step engineering tasks, executing commands, observing outcomes, and recovering from failures reliably.