ZeroClaw Labs
Security-first, private AI agents that run entirely on-device with no cloud or subscription dependencies, performance-optimized in Rust.
At a Glance
- Developers
- Privacy-conscious users
- AI Researchers
- Enterprise Security Teams
AI Tools by ZeroClaw Labs
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ZeroClaw
Self Hosted AI Agent Runtime
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Latest News
ZeroClaw Labs releases v0.7.4 with microkernel architecture
Jordan Tian presents 'Personal Agents' at MIT 2026
ZeroClaw surpasses 24,000 GitHub stars
ZeroClaw Labs addresses security hardening in latest patches
Products & Services
A security-first, private AI agent that runs entirely on-device with no cloud dependencies.
Desktop application for running autonomous AI agents locally.
Command-line interface for deploying and managing AI assistant infrastructure.
A repository of swappable skills and tools for ZeroClaw agents.
Market Position
Positioned as the 'hardened' and 'high-performance' alternative to OpenClaw, significantly lighter and more secure due to its Rust implementation.
Leadership
Founders
Argenis De La Rosa
Software Engineer specializing in AI, Blockchain, and iOS development. Previously an iOS Developer at PayPal (Core team of QRCode SDK). Education: Harvard University. Founder of Rose Media Productions.
Jordan Tian
CEO and Co-Founder. Previously founded a video gaming arcade in Milwaukee and raised startup capital. Education: MIT (associated with MIT events). Focuses on making AI agents useful for everyone.
Executive Team
Jordan Tian
CEO
Entrepreneur with experience in raising startup capital and founding gaming/tech ventures.
Argenis De La Rosa
CIO and Founder
Technical lead and architect of ZeroClaw, Harvard educated software engineer with background at PayPal.
Founding Story
Started as a security-first, lightweight alternative to OpenClaw, built from the ground up in Rust to enable autonomous agents on low-resource hardware without compromising privacy.
Business Model
Revenue Model
Free and Open Source (MIT/Apache-2.0 license). Freemium model with potential premium services or registry features.
Pricing Tiers
Full access to the core infrastructure and CLI.
Can run on hardware as cheap as $10-12 microcontrollers.
Target Markets
- Developers
- Privacy-conscious users
- AI Researchers
- Enterprise Security Teams
- On-device personal assistants
- Secure autonomous entities
- Low-cost hardware automation ($10 microcontrollers)
- Privacy-focused AI workflows
- Open-source community
- Developers at Harvard and MIT