How it works
Sirro gives AI coding agents a durable memory layer outside your repositories. Save once, reuse everywhere.
The problem
AI coding agents are fast, but they start fresh in every new repo. Teams rebuild the same buttons, hero sections, prompts, and workflow patterns again and again. Copy-paste does not scale. README snippets get stale. Context windows forget what you built last month.
Sirro solves this with a dedicated library that lives outside any Git repository and is addressable by name.
The workflow
What you can save
Sirro is built for reusable building blocks teams use across projects:
- React and UI components
- animations and motion patterns
- page sections and layouts
- prompts and agent instructions
- code patterns and snippets
- reference links and documentation
Solo and team libraries
Personal workspaces keep your own assets private. Team workspaces share one library across members so everyone and every connected agent works from the same source of truth.
The team library page is the longer version. Other jobs are on Use cases.
Building blocks
Everything you keep in Sirro is a building block your agent can reach for while it works. Save a component, a prompt, or a pattern once, then ask for it by name in the next project. No copy-paste, no browser tabs, no manual file shuffling.
Build on better work
Update a shared implementation or Pack when you find a better approach, so subsequent retrievals return the improved version. For a whole task, save it as a Playbook: a strong model writes the steps for a cheaper one, every run records the model and whether it passed, and your library names the cheapest model that does the job.
Read How work improves for that loop, Compute and reuse for the compute model, and For enterprise for company workflows and onboarding.
Get started
Setup is how you connect an agent. Join the waitlist if you do not have a library yet. The commands live in the docs.