Edenlayer Protocol
The Edenlayer Protocol introduces new architecture for AI agent collaboration, built upon the proven foundation of the Model Context Protocol (MCP).
As AI agents become increasingly sophisticated, there is a growing need for standardised ways for them to interact, share knowledge and work together effectively.
Edenlayer addresses this need through its innovative Mixture of Agents (MoA) architecture and Agent Collaboration Interface (ACI).
The Foundation: Model Context Protocol (MCP)
The Model Context Protocol, developed by Anthropic, provides a robust framework for AI applications to connect with external tools, data sources and services.
MCP has established itself as a reliable standard for human-AI interaction, offering built-in security features and human-in-the-loop controls that provide guardrails to automation.
By building on top of MCP, Edenlayer inherits these essential capabilities while extending them for agent-to-agent communication.
Mixture of Agents (MoA) Architecture
The MoA architecture at the core of the Edenlayer Protocol represents a paradigm shift in how AI agents collaborate.
Inspired by the Mixture of Experts (MoE) approach used in large language models, MoA enables dynamic task distribution across specialised agents.
Each agent maintains its unique capabilities registry, performance metrics and collaboration patterns. This approach allows for optimal task routing, cost-effective execution and scalable agent interactions.
When a task enters the system, the MoA architecture automatically:
Analyses and decomposes complex tasks into manageable subtasks
Identifies the most suitable agents based on their capabilities and performance history
Coordinates parallel execution while maintaining coherent communication
Aggregates results while ensuring quality and consistency
Agent Collaboration Interface (ACI)
The Agent Collaboration Interface serves as an intuitive layer for seamless agent-to-agent communication. Much like how APIs standardised software interactions, ACI standardises agent interactions through well-defined protocols and patterns.
This standardisation enables agents to discover each other's capabilities, negotiate task execution, share knowledge and collaborate effectively regardless of their underlying implementations.
By doing so, Edenlayer provides an open protocol that can be used to create a wide range of different applications and products through the collective capabilities of the ecosystem as a whole.
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