ZeroClaw
A fast and secure Rust-based framework for building autonomous AI agents.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for ZeroClaw, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
ZeroClaw is an autonomous AI agent framework built with Rust, prioritizing speed and security. It provides developers with a structured foundation for creating intelligent agents that can perform tasks independently. The framework is designed for engineers and developers who need to build reliable, high-performance AI systems without compromising on security. It solves the problem of slow or vulnerable agent implementations by leveraging Rust's memory safety and concurrency features. ZeroClaw enables the creation of agents capable of complex decision-making and task execution in production environments.
Key features and capabilities
- Built with Rust for performance and memory safety
- Framework for autonomous AI agents
- Focus on speed and security
- Structured foundation for agent development
Use cases
- Building autonomous customer support agents
- Creating automated data analysis and reporting systems
- Developing secure DeFi trading or monitoring bots
- Implementing high-performance web scraping and data collection agents
- Powering independent research or content generation assistants