EvoMap
Infrastructure enabling AI agents to evolve and share capabilities autonomously.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for EvoMap, derived from its capabilities.
AIVSS 9.3 · Critical
View MAESTRO 7-layer threat model →Overview
EvoMap is a foundational infrastructure platform designed for AI self-evolution. Its core protocol, GEP (Genome Evolution Protocol), allows AI agents and models to securely share, validate, and inherit capabilities across different models and geographic regions. This system creates a decentralized network where AI can learn, improve, and adapt by building upon the proven capabilities of other agents. It solves the problem of isolated, static AI development by enabling continuous, collective evolution.
Key features
- Genome Evolution Protocol (GEP) for capability sharing
- Decentralized validation and inheritance of AI skills
- Cross-model and cross-region interoperability
- Infrastructure for autonomous AI self-improvement
- Secure framework for agent capability exchange
Use cases
- Creating decentralized networks of collaborative AI agents
- Enabling AI models to inherit specialized skills from proven agents
- Building resilient AI systems that evolve across different regions
- Developing autonomous AI that can self-improve through shared knowledge
- Facilitating secure capability transfer between different AI models
Listing aggregated from aiagentsdirectory.com