Ship AI. Fearlessly.

The control plane and infrastructure for teams building the next generation of agentic software.

Starting point

Start where agents already do real work.

Software teams are the first place where agents are becoming operational. We build the infrastructure to support this: issue-driven agent runs, contained workspaces, approval gates, and traceability from task to pull request.

Control

Agents need boundaries, context, and explicit approval paths before taking action.

Visibility

People need to know exactly what agents did, why they did it, and how they failed.

Trust

Useful and scalable automation ultimately still requires strict human accountability.

The Moonwind ecosystem.

Northstar helps people supervise agent work. BuilderGraph helps people and teams understand and prove AI skill. Together, they are the first pieces of a broader Moonwind product ecosystem.

We are starting with software and knowledge work because that is where the signals are clearest today. The longer-term direction is broader: useful agent products for work, learning, operations, household admin, and personal decision support.

Early access

Northstar

The control plane for supervised agent work.

Turn work into supervised agent runs with context, approvals, and traceability. Starting with coding agents and issue-driven software work.

Explore Northstar
In development

BuilderGraph

Private AI skills intelligence.

Analyze real AI-assisted workflows locally, measure skill growth, detect failure patterns, and build proof of responsible AI usage.

Explore BuilderGraph
Available

Moonwind Studio

AI workflow implementation for teams.

We design and build custom AI systems: agents, workflows, tools, and integrations for teams ready to move faster with AI.

Work with Moonwind
Ongoing

Moonwind Labs

Research, experiments, and prototypes.

Explorations in agentic software, local AI, orchestration, and operational intelligence. Sharing what we learn publicly.

Visit Labs

Built around the layer every agent product needs.

Agent orchestration

Route work to the right agent, in the right runtime, with the right context. Handle retries, fallbacks, and handoffs without custom glue code.

Human approval

Define approval gates for high-risk operations. People stay in control of what matters while agents handle the execution.

Workflow observability

Agent systems need structured logs, execution traces, and status updates so users can understand what happened, when, and why.

Safe automation

Contained workspaces, scoped tool access, privacy defaults, and runtime policies. Automation that respects the context it operates in.

Want this inside your company?

Moonwind Studio partners with teams to design, build, and deploy custom AI systems, from internal tools to fully autonomous pipelines.

01

Diagnose

Map current workflow, pain points, tools, and risk areas.

02

Design

Create the workflow architecture, approval points, data flows, and system boundaries.

03

Build

Implement the system using reliable tools, APIs, and automation primitives.

04

Deploy

Roll out safely with logging, monitoring, documentation, and rollback paths.

05

Improve

Measure usage, failure modes, and opportunities for deeper automation.

Work with Moonwind

Infrastructure for the AI-native era.

Join the teams building the next generation of software with Moonwind.