Bootstrap a new project in a day.

One agent scopes the work while another deploys infra and scaffolds the repo — in parallel. Mimir hands both agents the same playbook.

See how it works

What one engineer figures out, every engineer gets.

Capture what each engineer knows, encode it in the playbook, and every teammate — and every AI session — gets the same guidance from day one.

Encode your best practices

Uniform conventions. Every project. Every Agent.

Structure apps, infra, and artifacts the same way — always. Every codebase navigable for humans and AI, regardless of who wrote it.

Propagate your standards

Plan, run, and finish a sprint in an hour.

Task definitions cover both what to build and how to build it. Hand the AI the playbook and the backlog — it drives while you review.

Run a sprint with AI

AI-driven project audit — right for the phase you're in.

The AI knows what to look for, phase by phase, because the playbook tells it. Spot drift, get a recovery plan, make the lesson stick.

See audit & recovery

Bootstrap a new project in a day (scope, infra and scaffold — agents run in parallel)

Start a project by running the playbook, not by writing it from scratch. One AI agent scopes the work with you while another provisions infra and scaffolds the repo. Mimir hands both agents the same playbook so they stay in sync without a kickoff meeting.

What one engineer figures out, every engineer gets (encoded, reusable, available to every engineer and every AI session)

When one engineer figures out a better way, Mimir encodes it as an activity, howto, or rule. From that moment, every teammate — and every AI session — gets the same guidance automatically. Best practices stop living in someone's head and start living in the playbook.

Uniform conventions across every project (structure apps, infra and artifacts the same way, every time)

Mimir doesn't just document how things should be built — it actively enforces it. Conventions for apps, infra, and artifacts land as versioned playbook activities and IDE rules, so every project looks the same from the inside, whether a human or an AI is reading it.

AI-driven project audit — right for the phase you're in (the AI knows what to look for, because the playbook tells it)

Run the audit workflow and the AI reads the playbook to know exactly what to check at your current phase. Drift shows up as a list. The recovery plan ships as a Playbook Improvement Proposal — versioned, reviewable, importable. Lessons don't evaporate; they improve the book.

Plan, run, and finish a sprint in an hour (task definitions cover both what to build and how)

Playbook activities become sprint tasks with full definitions of done — not just ticket titles but the how, the standards, and the acceptance criteria the AI needs to drive. Hand the AI the playbook and the backlog in one breath. It plans, executes, and you review. Less briefing, more shipping.

Jump-start with the FeatureFactory playbook (copy it, adapt it to your architecture, culture, and style)

You don't have to author a playbook from scratch. The FeatureFactory playbook is a battle-tested starting point: scope, sprint, and audit workflows — all defined, all ready to run. Fork it, adjust the activities that don't fit, add the ones that do. Your team's way of working, built on a solid baseline.

Ship your first playbook this afternoon

Start from the FeatureFactory playbook — battle-tested scope, sprint, and audit workflows ready to run. Pull the Docker container, wire it to your IDE's MCP settings, and you can be running your first AI-assisted sprint within the hour. No account, no credit card, no Homebase until you need it.

Get the Docker quick-start See the user journey

Free local FOB · Optional Homebase for teams · Open MCP so you're never locked in.