Muster Ai

Muster

**Ship a product. Without a team.**

*Eight AI specialists. Persistent memory. Just Claude Code.*


A real product needs design, code, QA, content, marketing, legal, and research.

You can't hire all of that. You don't have to.

Muster turns Claude Code into a coordinated team of eight AI specialists with persistent memory, quality guardrails, and conversational continuity. Every decision persists. Every sprint plans itself forward. Every specialist remembers the discussion across follow-ups — no re-briefing on every turn, no Claude amnesia between sessions.

Just markdown files. No external frameworks. No API wiring. No subscriptions.

You (Founder)
     |
     v
  Open Claude in project   →   Pick a role at session start
                                       |
                                       v
                              Session bound to ONE role:
                       PM | Dev | UI/UX | QA | Content | Mkt | Legal | Research

The PM coordinates: plans sprints, makes decisions, cascades context to specialists. Specialists do the domain work in their own session and file handoffs. Status line shows `[muster: ]` so you always know which tab is which.

Built and validated on real production projects — an iOS app mid-construction and a shipped marketing site. Not framework theory.

Just open Claude Code. Pick a role. Ship.

The problem

Most multi-agent frameworks optimize for agent **communication** — how agents pass messages to each other. The real bottleneck is **context**. Claude Code agents forget everything between sessions. If you're building a product across design, dev, legal, marketing, and QA, you need persistent memory and a way to keep each agent focused on what matters.

How Muster solves it

Three-tier reading model

Each agent reads roughly 80 lines at startup — its role, filtered product context, and