About Sirro

AI agents are becoming capable of doing real work.

They can write software, research companies, communicate with customers, manage schedules, analyze information, and operate tools.

But agents still have a fundamental problem: continuity.

Their knowledge is fragmented across conversations, applications, models, files, and people. One agent learns something another agent does not know. A useful solution disappears inside an old conversation. Switching agents often means rebuilding context. Businesses repeatedly explain the same rules, processes, and decisions.

Sirro gives agents a library of reusable work, so a useful method survives the conversation where it was discovered.

Sirro is not an agent

Sirro does not try to replace the agents you already use.

The agent reasons, decides, and acts.

Sirro provides the persistent layer underneath it.

It holds the knowledge agents need, the context they share, the rules they follow, the tasks they are working on, and the history of what has already happened.

This separation means your knowledge does not belong to a particular model or AI product.

You can change agents without starting over.

Agents change. Sirro stays.

One layer across your agents

Today, AI work is fragmented.

A coding agent knows about your repository. A research agent knows about research from its own conversations. A personal agent may know about your schedule. Another agent might be working from an entirely different set of information.

Sirro gives those agents a common layer.

A connected agent retrieves work another agent saved.

A task can persist after the agent that created it stops running.

Rules can apply regardless of which agent is doing the work.

Research, decisions, files, context, and outcomes can remain available to the agents that need them.

The agents remain independent. Sirro provides continuity between them.

Built around purpose

Sirro is not one giant memory containing everything.

Different work requires different environments.

A developer needs components, architecture, skills, patterns, and engineering rules.

A personal project may need research, tasks, files, conversations, and several agents working together.

A business may need customers, inventory, suppliers, orders, communication, workflows, permissions, and operational history.

Sirro creates persistent environments around those purposes.

The structure can evolve as the work changes.

Sirro

Sirro gives coding agents persistent access to reusable development knowledge.

Developers save components, sections, animations, patterns, architecture, utilities, prompts, skills, solutions, design systems, and instructions.

Teams share that knowledge across developers and agents.

Businesses can maintain approved engineering standards and reusable implementations.

Enterprises can distribute knowledge across teams while controlling ownership, permissions, versions, and access.

Instead of generating everything again, coding agents retrieve what already exists.

Save once. Retrieve anywhere.

Personal agents and Playbooks

Sirro is developing a personal agent harness. It will keep Playbooks: named, step-by-step methods for work you do repeatedly, such as weekly updates, research briefs, and outreach.

Confirmed work facts hold your standard answers, figures, tone, and boundaries. The planned workflow checks the relevant Playbook before a task, then records what happened so the method gets better over time.

A Playbook moves from draft to used to proven only after a person confirms the result or there is checkable proof. Versions let you inspect changes and restore an earlier approach.

Your personal library stays private unless you choose to share. It is separate from your coding library, while staying with your Sirro account across agents.

Sirro Whiteboard

Sirro Whiteboard gives different agents a shared environment.

Connect the agents and services you already use and give them somewhere persistent to coordinate.

A research agent can leave information for a writing agent. An agent can create a task that another agent completes later. Rules can remain consistent across agents. Files, decisions, context, and history can stay attached to the work rather than a particular conversation.

Whiteboards can connect to the places where work already happens, including AI workspaces, communication tools, email, calendars, files, and other services.

You continue using the agents you prefer.

Sirro gives them somewhere to work from.

Sirro Ops

Sirro Ops extends the same idea to businesses.

Instead of giving an agent a blank conversation and manually explaining how the company works, Sirro can provide the persistent operational environment behind it.

That environment can contain customers, products, inventory, suppliers, orders, rules, tasks, workflows, communication, historical outcomes, and the connections required to operate the business.

A business describes what it needs.

Agents determine what information and capabilities are required.

Sirro provides the persistent structure underneath them.

For an inventory operation, that might mean connecting orders, warehouse data, suppliers, email, and payments.

For another business, the structure may be completely different.

Sirro Ops is designed around the business rather than forcing every business into the same software.

Connections

Agents cannot operate effectively if the information they need remains isolated across different systems.

Sirro can connect to the services where that information already exists.

Email, calendars, communication tools, files, databases, business systems, AI workspaces, and other services can become part of a Sirro environment.

Connections can also give agents controlled ways to take action.

The objective is not to move every piece of data into Sirro.

It is to give agents the right context and capabilities when they need them.

Memory that has structure

Useful agent memory is more than a transcript of previous conversations.

Agents need to understand what something is, how it relates to other information, whether it is still current, where it came from, who can access it, and what should happen next.

Sirro can represent different kinds of persistent information: knowledge, entities, relationships, state, tasks, rules, workflows, events, files, decisions, and outcomes.

The structure depends on what the environment needs.

Sirro can then retrieve the relevant information instead of simply giving an agent an ever-growing history of everything that happened before.

Built for agents

Most software is designed primarily for humans to operate through interfaces.

Sirro is built around a future where agents increasingly operate software themselves.

A human should be able to describe an objective:

Manage inventory for this business.

An agent can determine that it needs products, stock levels, suppliers, sales history, reorder rules, communication, and purchasing capabilities.

Sirro can provide the persistent environment required to support that work and identify the external systems that need to be connected.

The human defines the goal.

The agent determines what it needs.

Sirro gives it somewhere for that knowledge and work to persist.

Your knowledge should outlive your agent

Models will improve.

New agents will appear.

The interfaces people use to interact with AI will change.

The knowledge accumulated while using them should not disappear every time the underlying technology changes.

A company should own its engineering knowledge.

A person should own the context accumulated across their agents.

A business should retain the operational knowledge its agents create.

Sirro keeps that layer separate from the intelligence operating on top of it.

Where Sirro is going

Sirro begins with a simple idea:

Agents should not have to start over.

Today that means allowing coding agents to save and retrieve useful work.

It expands into shared environments where multiple agents can work from the same context.

And ultimately, it means giving agents the ability to provision the persistent infrastructure they need for whatever job they are given.

The model provides intelligence.

The agent provides agency.

Sirro provides continuity.