Build AI systems that don't break.
A hub of engineering skills and MCP tools you install once, so your AI IDE (Claude, Cursor, and any MCP client) gains production-grade, least-privilege capabilities, backed by real, tested open-source repos.
One install wires your AI IDE to a hub. The hub gives it skills (how to work) and spokes (what to call), every spoke backed by a real, tested repo, and the whole thing stands on a trust spine.
Most AI tools make the model more capable. The Machine OS makes it more reliable. It packages the boring, hard-won engineering discipline into things your agent can actually use.
Procedural recipes (code-review, debug, architecture, incident-response, and 19 more) that shape how the agent works, as portable SKILL.md files.
Callable tools backed by real repos: a code-graph that finds blast radius, failure memory, solution recall, document extraction, and more. Read-only and sandboxed by default.
One front door. Install the skills + tools in a single move, and your IDE gets all of it. One version stream, one trust boundary, no glue code.
Two paths, depending on your tool. The public install link goes live at launch, the waitlist gets it first.
The skills plugin (markdown, zero-setup) plus the optional tools plugin (the MCP spokes).
Each spoke ships as a .mcpb extension. Install it, point it at a repo, and ask in plain language. The first spoke (code-graph) is live today.
The tools are plain MCP servers, so they run anywhere via a standard mcp.json. The skills are CC-BY prose you can drop into any IDE's rules.
"Launching soon" does not mean "nothing yet." A real spoke is open source and running inside Claude Desktop today, returning live results over a real repo.
The code-graph spoke runs in Claude Desktop now and returned a real graph of 1,501 files / 5,437 dependency edges. Open source (MIT). See the project →
Field notes, system recipes, and architecture write-ups on building AI systems that survive production, the thinking behind the tools. Read the blog →
Read-only and root-confined tools, capability scoping, and an audit trail, the least-privilege posture the whole industry is scrambling toward. Why it matters →
Demos lie, agents drift, providers go down. The Machine OS is the unglamorous infrastructure that makes AI agents survive contact with production.
No "everything is done" theatre. Here is exactly what is live, what is next, and what is later.
Join the waitlist for early access, the install link the day it goes public, and a heads-up on new spokes. No spam, just the launch.