Rosary OS runs on Claude Code. Assemble and run any agents — for any project and direction — managed by your team, governed by design.
Runs on Claude Code · Reviewed by a human · Isolated environments
You describe the task, the platform assembles a team of agents around it and keeps the work inside your rules. The direction is up to you: engineering, marketing, sales, analytics, internal operations.
The task is split across agents: one writes, another reviews, a third reports. You describe the roles and the order of work.
Every step is visible: runs, tool calls, cost. Anything that needs a human decision goes to review.
An agent runs in its own environment and sees only the data and tools you opened for it.
The platform is not tied to a single scenario. A new direction gets its own team, on the same core and under the same rules.
The sequence is the same for every direction. Only the line-up of agents changes.
Create the organization, invite colleagues, assign roles and permissions.
Connect repositories, documents, mail and the services you work in. Agents see exactly what you opened.
Pick agent roles and describe the process: who owns what, and what goes to a human for review.
Agents pick up tasks from the queue, on a schedule or on an event, and report back into your channels.
The platform is the same for everyone. The way you adopt it depends on who you are.
These are the real roles on our agent team and the work they do in this organization — from engineering and SEO to sales, analytics and finance. Pick a category to see each agent and what it has done here.
Go/no-go on releases, prioritizing directions, resolving cross-team conflicts and crisis comms.
Triages incoming work, splits it into subtasks, assigns specialists and merges the result.
Kicks off tasks on triggers and schedules — work starts with no manual touch.
Compose an agent from your own playbooks, data and tools — with the same guardrails and review.
Talk to us →High-level architecture, stack choices and trade-off analysis before a big feature or a new service.
Laravel 13 + PHP 8.4: JSON:API endpoints, migrations, models, services and Pest tests.
React 19 + TypeScript, TanStack Query and Tailwind: components, pages and forms.
Edits the theme, REST and content of rosary.eq.team — e.g. the /vs/cursor comparison page.
Compose an agent from your own playbooks, data and tools — with the same guardrails and review.
Talk to us →Brand, demand, customer insights and audience landing pages — business, developers, integrators.
Blog articles and material from a brief — matching tone and SEO.
Monthly content plan, channel posts, engagement and reacting to the news.
Compose an agent from your own playbooks, data and tools — with the same guardrails and review.
Talk to us →Keyword research, on-page and technical SEO, competitor analysis — e.g. 600+ keywords across the RU AI-agent market.
Yandex.Direct and Google Ads: campaign structure, bids, UTM tagging and ROAS control.
Compose an agent from your own playbooks, data and tools — with the same guardrails and review.
Talk to us →Custom demos, RFP responses and integration POCs — moving each deal forward.
Compose an agent from your own playbooks, data and tools — with the same guardrails and review.
Talk to us →Accounts, transactions and recurring payments, finance models and digests — operations in equity.su.
Compose an agent from your own playbooks, data and tools — with the same guardrails and review.
Talk to us →Not a single chat assistant. A platform: an orchestrator plus a team of specialised agents that follow your rules, reach into your systems and hand back a result you can use.
Someone states the task in plain text — in chat, from a tracker ticket or on a schedule. No scripting language to learn.
The platform splits the request into subtasks, picks the performers and the order of work. Anything irreversible goes to a human.
Each agent runs in its own isolated environment and sees only the data and tools you granted it.
A human gets the result and the trace: who ran what, which tools were called and what it cost.
You describe the rules, roles and access. Agents stay inside them — on day one and six months later.
RPA repeats fixed steps and breaks on the first exception. A public chat assistant does not work inside your systems and owns no outcome. Rosary OS works differently:
The plan is assembled for the task at hand instead of being hard-scripted in advance.
Mail, documents, tracker, CRM and internal APIs — over MCP connectors, not copy-paste.
Roles, instructions and skills are written by your team. Agents act within those bounds.
Irreversible actions — deploys, payments, outbound email — go to a human for approval.
A separate environment per run and only the access that was explicitly granted.
One process and dozens of processes run under exactly the same rules.
We do not promise percentages before looking at your processes — here is what actually changes.
Data collection, reports, inbox triage and routine documents stop eating a working day.
Routines and triggers run at night and on weekends — the result is waiting in the morning.
The task is stated in one place and the platform goes after the data itself.
The same task runs by the same rules, not from one person’s memory.
Spend per run and per tool call is visible before it turns into an invoice.
Instructions and skills stay in the platform instead of leaving with a person.
What the platform is made of and what has to be connected on your side.
The role set most teams start from. Roles are tuned to your process and you can add your own.
Roles work immediately. Working with your systems requires connectors and granted access — that is part of the rollout.
What teams start with in the first days and what gets added once your systems are connected.
The system stays manageable without pulling in developers.
On the demo we take one of your processes and show how an agent team closes it.
What teams hand over to agents first, by area.
An agent picks up the ticket, writes code on an isolated branch, runs tests and linters. A human accepts the work.
Routines run on a schedule, watch the processes and call a human only on a defined condition.
A brief turns into text that follows your editorial policy and ships against the content plan.
Qualification against your criteria, a proposal from your template, a record in the CRM.
Data is pulled from your systems on a schedule, with deviations flagged separately.
Data extraction, version comparison and document assembly from your template.
We will publish named customer stories once we have written consent. On the demo we walk through a scenario that applies to your own area.
So that automation produces an effect instead of staying a demo, we go step by step.
We look at where busywork eats the team’s time and which data and systems it needs.
We decide what gets automated first, what effect we expect and how we will measure it.
Roles, access, connectors and scenarios get configured — plus custom agents and skills where needed.
Team enablement, support, metric monitoring and expansion into adjacent processes.
What to read before the conversation.
Not a homegrown runtime: agents run on a tool Anthropic maintains.
A separate environment and only the access you granted explicitly.
Traces of runs, tool calls and spend — before any of it becomes an invoice.
On-premise: your data and the agents’ work never leave it.
Tell us what you want to hand over to agents. We will reply and propose a time to dig in.
Rosary OS maps the path from assisted AI to full autonomy. Real business impact is driven in L3/L4.
Example — Lead qualification
Rosary OS turns every run into experience — saving the approaches that work as reusable skills, so agents sharpen accuracy and cut cost over time.
Autonomous agents require serious governance. Granular access controls for your team, your agents, and the systems they touch.
Real-time visibility into every agent's activity, performance, and cost.
Role-based access controls for your team and your agents. Control who can build, edit, and deploy.
Multi-region deployment, incl. local hosting, keeps data within your required geography.
Full version history on every agent. Roll back to any previous state.
Every action, every decision, every tool call — fully logged and exportable.
Set approval gates on any action. Agents escalate when confidence is low.
Enterprise single sign-on with SAML 2.0. Centralize identity and access management.
Automatically detect and redact personally identifiable information before it reaches the model.
Export telemetry via OpenTelemetry and share data through Delta Sharing for full observability.
Priced by team and outcome. We scope it together on a demo, so you only pay for impact you can measure.
For a single team proving impact.
For teams rolling agents out across projects.
For regulated, large-scale deployments.
Every agent runs inside guardrails your team defines. Actions wait for human approval and you get a full audit trail — nothing ships without your review.
Most teams run a scoped pilot within days, not quarters. We connect your tools and data, assemble your first agent team, and measure impact in weeks.
It runs on Claude Code. You can connect and compose any agents on top, with shared memory, routines and full monitoring built in.
No. Your data is never used to train shared models. You can bring your own keys, host data in your region, and mask sensitive fields before they reach the model.
SOC 2 Type II and ISO 27001, GDPR-ready, SSO/SAML, granular RBAC and audit logs. Enterprise adds data residency, custom guardrails and signed reports.
By team and seats, scoped to the agents you deploy. We size it together on a demo so you only pay for impact you can measure.