What is Sirro?
Sirro keeps useful work available to the agents you use. Coding agents reuse saved assets today; personal-agent Playbooks are in development.
Last updated October 8, 2026
In brief
Sirro is a library of reusable work for AI agents. In the coding library, people save components, prompts, patterns, and links outside any Git repository. Connected agents in Cursor, Claude Code, Codexand other coding tools retrieve that work by name. A task can be saved as a Playbook: a strong model writes the steps for a cheaper one, and every run records which model passed. Sirro is also building personal-agent Playbooks for everyday tasks, with progress based on checked results rather than an agent's claim.
The problem Sirro solves
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 gives developers and teams a dedicated memory layer: one library, available everywhere, addressable by name. Tell your agent use Animated Button from Sirro and it pulls the saved asset into the current project.
Personal agents and proven work
A personal agent may remember facts about you, but it also needs a reliable way to repeat work that went well. Sirro's planned Playbooks will hold named steps for tasks such as weekly updates, research briefs, and outreach. Work facts will hold details you have confirmed. Checked results inform Playbook revisions over time, with versions and a path from draft to used to proven.
Personal-agent Playbooks are in development. The coding-agent library supports saving and retrieving work across tools. Read the personal-agent guide for the planned workflow and privacy controls.
How the coding library works
- Join the waitlist to get your library.
- Connect your agent from your library. Sign in and Allow in the browser. No API key is copied.
- Save an asset once from any project: a component, animation, prompt, or pattern.
- Reuse everywhere by name in any future project with a connected agent.
What coding agents can save
- React and UI components
- animations and motion patterns
- page sections and layouts
- prompts and agent instructions
- code patterns and snippets
- reference links and documentation
Supported AI coding tools
Sirro connects to coding agents including:
- Cursor
- Claude Code
- Codex
- Antigravity
- GitHub Copilot
- Devin
Other coding agents can Connect the same way: sign in and Allow, then read and write your library.
Who Sirro is for
The coding library serves developers and teams using coding agents across projects. Sirro is expanding to people who use personal agents for recurring work and want the methods that succeed to travel between agents.
Build on better work
Update a shared implementation or Pack when you find a better approach, so subsequent retrievals return the improved version. Sirro is also developing Playbooks that record outcomes, preserve versions, and use confirmed results to improve recurring methods.
Read How work improves for that loop, Compute and reuse for the compute model, and For enterprise for company workflows and onboarding.
Frequently asked questions
The same answers are on the FAQ. Concrete jobs are on Use cases.
How do enterprises use Sirro?
Company workspaces give teammates and their connected agents a shared library. Packs collect onboarding docs, conventions, and working examples. Sirro is also developing company Playbooks with confirmed facts, recorded outcomes, and owner-approved changes for recurring work.
How does Sirro help work improve?
Teams update saved work, and subsequent retrievals return the improved version. Playbooks add a run log: every run records the agent, the model and whether it passed, counted only when a person confirmed it or Sirro graded the agent's answers to the stored examples. When a cheaper model fails, a strong model tightens the steps into a new version.
How does reuse affect compute usage?
Retrieving saved work replaces generation of that work with retrieval and adaptation. The net compute effect is the work avoided, less the cost of retrieval, reading, adaptation, and validation. Measure complete tasks against the same quality criteria to establish the result.
What is Sirro?
Sirro is a library of reusable work for AI agents. Its coding-agent library lets you save components, prompts, and docs by name across projects and tools. Personal-agent Playbooks for recurring work are in development.
What problem does Sirro solve?
Agents start fresh in every repo, and teams rebuild the same sections, prompts, and patterns. A folder of snippets in one repository does not travel with the next agent. Sirro keeps the named work in one library.
How does Sirro connect to AI coding tools?
From the dashboard, Connect Cursor, Claude Code, Codex, or another supported agent. The tool opens Sirro in the browser. You sign in and Allow a workspace. The agent keeps a token. You do not paste an API key into chat.
What can I save in Sirro?
In the coding library, you can save components, page sections, animations, prompts, code patterns, links, and Playbooks. Group related assets in a Pack. Images are not saved with a component. Personal-agent Playbooks and confirmed work facts are in development.
What is a Playbook?
A Playbook is a task written down by a strong model so a cheaper model can follow it: numbered steps, explicit rules, worked examples and a done check. Every run records the agent, the model and whether it passed, and the library names the cheapest model that passes. Coding-agent Playbooks are live; personal-agent Playbooks for everyday tasks are in development.
Will my personal Playbooks be shared?
No. The planned personal-agent library will stay private unless you choose to share. Team or community sharing will require an explicit choice and review.
Is Sirro tied to one codebase?
No. The library is outside Git. The same names are available in every project where an allowed agent is connected.
Does Sirro replace project rules or instructions?
No. Rules guide an agent inside one project. Sirro stores work you chose to keep, and that work can be fetched by name from another project.
Does Sirro store every chat?
No. Sirro saves what you ask an agent to save. It does not index the repository or keep the chat log.
Can a team share one library?
Yes. A personal workspace stays private. A team workspace is one library for the people on that team and the agents they have allowed.
Is Sirro open yet?
The public product is not fully open. Join the waitlist to be told when it launches. People who already have access can sign in to their workspace.
Who is Sirro for?
Today, developers and teams using coding agents across projects. Sirro is also building a personal-agent library for people who want to reuse and improve proven methods for recurring work.