FREGO
Decentralized AI safety and infrastructure protocol, building safer AI
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for FREGO, 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
We build Decentralized Alignment (Dec/A) tools that provide essential guardrails for AI, empowering humans to harness the power of AI responsibly. Our web3-native infrastructure enables developers to seamlessly integrate, measure, and monitor data related to decentralized alignment, ensuring scalable and efficient adoption. All of this, is backed by real research that objectively demonstrates the effectiveness of our unique approach to decentralized AI safety.
Key features and capabilities
- Decentralized Alignment
- Focus on ethical, safe and aligned AI
- Decentralized Autonomous Organization (DAO) structure
- Web3-native infrastructure
- Safety Swarm
Use cases
- Memetic Alignment Strategy
- Create Social Agents
- FREGO Alignment API ensures safety and effectiveness of AI agents
- Open Source Web3 Toolkits
- Governance and incentivization through FREGO token