pagecow
A Codex alternative for Open Source AI, providing a native desktop workspace where AI agents work alongside users in their repositories and integrated Kanban boards.
At a Glance
AI Tools by pagecow
(1)ChatOSS
Agentic Coding Desktop App
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Products & Services
A native desktop workspace for AI agents that integrates with code repositories and includes a Kanban board for task management.
A push notification service specifically designed for Expo and React Native developers.
Market Position
ChatOSS positions itself as an open-source friendly alternative to GitHub Copilot (Codex), focusing on local execution via Ollama and a native desktop experience that integrates task management (Kanban) with coding agents.
Leadership
Founders
Timothy J. McCarty (TJ McCarty)
Full stack developer and entrepreneur. Founder of Native Notify (push notification service) and various other apps including Disciple Me and Startup Notes. Previously worked as a developer at Aaron Rich Marketing and Webaholics.
Executive Team
TJ McCarty
Founder, CEO, and CTO
Full stack developer with extensive experience in React Native, Node.js, and SaaS entrepreneurship.
Founding Story
TJ McCarty established PageCow in 2009 as a platform for digital content and software development. After building successful SaaS products like Native Notify, he launched ChatOSS to bridge the gap between local open-source AI (Ollama) and agentic developer workflows.
Business Model
Revenue Model
Subscription-based SaaS for cloud-model access and advanced features.
Pricing Tiers
Local Ollama models, no account required, unlimited local usage.
Web search, low-usage open source cloud models, 1 concurrent cloud model.
Every cloud model, 3 concurrent cloud models, 3x usage of Starter.
Frontier models unlocked, 9 concurrent cloud models, 10.5x usage of Starter.
30 concurrent cloud models, 37.5x usage of Starter, priority routing.
Target Markets
- Software development and agentic coding
- Local-first AI interaction for privacy
- Task and project management with AI agents
- Cross-model testing and usage