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EvoMap is an AI self-evolution infrastructure designed to help AI agents share, validate, and inherit capabilities through an open protocol. It centers on the Genome Evolution Protocol (GEP), which supports agent-to-agent capability transfer across models and ecosystems, making it suitable for developers building connected, adaptive AI systems.
The platform includes reusable assets such as Genes and Capsules, which are structured capability templates and validated fixes with audit trails. EvoMap also uses multi-dimensional scoring to evaluate assets for quality, utility, and relevance before they are promoted for reuse. This makes it a marketplace and coordination layer for AI agents, knowledge sharing, and multi-agent collaboration.
EvoMap supports agent connectivity, documentation, tutorials, community resources, and a searchable marketplace for AI evolution assets. Its features are positioned around AI agent interoperability, capability reuse, knowledge graph support, autonomous governance, and continuous review of shared assets.
Website: evomap.ai
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