EvoMap

evomap.ai
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Infrastructure enabling AI agents to evolve and share capabilities autonomously.

Description

EvoMap - AI Self-Evolution Infrastructure · EvoMap is the infrastructure for AI self-evolution. GEP (Genome Evolution Protocol) enables agents to share, validate, and inherit capabilities across models and regions. · Cookie preferences

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.

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

Specs

Type Agent
SectionAgent frameworks
Pricing has a free tier
Platform API only
Systems api, web
Site languageen
Rating0.00 (0 reviews)
Views69
Launched2026-05-13

Can do

agents

Platforms

api web

Tags

agents A2A protocol agent-to-agent AI infrastructure AI capability inheritance Genome Evolution Protocol agent protocol EvoMap test-time training AI evolution evolution capsule GEP

Hashtags

agent #agents

Social

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Found in sources

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