Artur Kurowski
Artur Kurowski builds clean, reliable full-stack TypeScript/Node software, AI workflows, DevOps infrastructure and process automation to reduce operational friction. His principal current product, intentic, is an open-source workspace for running and reviewing parallel coding agents on infrastructure the user controls.
At a Glance
- Individual developers and open-source maintainers
- Software engineering teams
- Organizations needing self-hosted or controlled AI-agent infrastructure
- DevOps, platform and SRE teams
- +1 more
AI Tools by Artur Kurowski
(1)intentic
Open Source Coding Agent Orchestrator
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Latest News
intentic 1.344.0: sync and storage reliability, clearer device/connection handling, restore-point retention changes and hosted automation wake-ups
intentic 1.343.0: improved screen-reader feedback while the folder file tree loads
intentic 1.342.0: on-demand connected-tool loading, shortened large tool replies, scheduled wake-ups, richer HTML previews and configurable sleep behavior
intentic 1.341.0: clearer failures, extension gallery redesign, compressed transfers, code review findings and GPU-capable hosted sandboxes
Products & Services
MIT-licensed open-source workspace/orchestrator for running Claude Code, Codex, Cursor, Gemini and other coding agents side by side in separate git worktrees; users approve plans, review diffs and land changes. It runs on a user-owned machine or via an optional hosted sandbox.
A companion assistant for documents, presented as the same assistant for people who do not write code.
Transport-agnostic P2P protocol for publishing and discovering content that nobody can unpublish.
TypeScript tooling that imports TypeScript files into plain Node.js at runtime without a compile step.
Market Position
A self-hosted, open-source alternative in the coding-agent workspace/orchestration category, differentiated from hosted or editor-centric tools by running agents on user-controlled infrastructure, supporting multiple existing AI subscriptions without token markup, and requiring approval/review before changes land. The official site explicitly positions its comparison set around Cursor, Claude Code, Conductor and cloud agents.
Leadership
Founders
Artur Kurowski
Full-stack engineer with 15+ years shipping production systems; educated in computer science at the Polish-Japanese Academy of Information Technology in Warsaw. His background includes distributed-ledger production work at Billon, running a software house of about 15 people, CTO/team-lead roles, and specialties spanning TypeScript, NestJS, P2P protocols, CI/CD and bare-metal infrastructure.
Executive Team
Artur Kurowski
Creator and operator; full-stack engineer
15+ years in production systems; former CTO/team lead and software-house operator, with TypeScript, DevOps, distributed systems and bare-metal infrastructure experience.
Founding Story
Kurowski describes intentic as emerging from a practical gap: coding agents became capable of real work but lacked the tools, context and controlled access needed to finish it. He built an open-source, self-hosted workspace so agents can work in parallel while people approve plans, review diffs and retain control of their code and machines. His broader radarsu practice applies the same friction-reduction principle to software, operations and team habits.
Business Model
Revenue Model
The self-hosted product is free and MIT-licensed. The business sells optional hosted sandbox infrastructure rather than access to features or AI-token usage; customers use their own AI plans/accounts.
Pricing Tiers
Unlimited sandboxes subject to the user's hardware; all capabilities, extensions, automations, shared workspaces, desktop app, API and source included.
One hosted sandbox on 4 shared vCPUs, 4 GB memory and 10 GB disk, with 40 awake hours per month; Google-linked account required.
Larger machine and more hours; every product feature remains included, and the subscription pays for hosted machine capacity rather than agent capability.
Target Markets
- Individual developers and open-source maintainers
- Software engineering teams
- Organizations needing self-hosted or controlled AI-agent infrastructure
- DevOps, platform and SRE teams
- Non-programmers needing document assistance
- Parallel software development and codebase maintenance
- Code review, testing, refactoring and dependency audits
- Automated responses to CI failures, Sentry alerts, payments and other operational events
- Scheduled engineering chores and recurring repository maintenance
- Teams that want human approval and review while agents do implementation work
- Developers and organizations requiring self-hosted control of code, credentials and sandbox infrastructure