Decentralized Agent and Resource Protocol (DARP)
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  • 1. Introduction
  • 2. DARP Protocol Overview
  • 3. DARP & HighKey Platform Architecture
  • 4. Understanding DARP
  • 5. DARP Data Flow Architecture
  • 6. Agent Interaction and Lifecycle in HighKey Platform
  • 7. DARP Usage Scenarios
  • 8. HighKey Platform: The Flagship Implementation of DARP/MCP
  • 9. Decentralized Ecosystem
  • 10. Why It’s Important
  • 11. DARP & HighKey Platform Roadmap
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  • 6.1 Phase-by-Phase Analysis
  • 6.2 Key Interaction Patterns

6. Agent Interaction and Lifecycle in HighKey Platform

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Last updated 3 months ago

The below sequence diagram illustrates the complete lifecycle and interaction flow of Agents within the HighKey platform, demonstrating the orchestration between Users, Platform, Schedulers, Agents, and DARP Servers:

6.1 Phase-by-Phase Analysis

1. Agent Creation & Deployment Phase

During this initial phase:

  • Users create new Agents with specific configurations and rules

  • The HighKey Platform handles Agent deployment

  • Multiple Agents can be created and deployed simultaneously

2. Agent Configuration Phase

Configuration involves:

  • Setting up Agent permissions

  • Establishing data access rules for each Agent

  • Ensuring proper authorization for data interactions

3. Scheduler Setup Phase

The Scheduler configuration includes:

  • Creating workflow definitions

  • Deploying the Scheduler with specified parameters

  • Setting up task dependencies

4. Execution Phase

This critical phase demonstrates several key interactions:

a) Primary Task Execution:

  • Scheduler triggers initial tasks

  • Agents request data from DARP Servers

  • DARP Servers return requested data

  • Agents complete assigned tasks

b) Inter-Agent Collaboration:

  • Dependent tasks are triggered

  • Agents share results

  • Additional data requests are processed

5. Result Phase

Results processing includes:

  • Compiling task results

  • Aggregating data from multiple Agents

  • Returning final output to users

6. Monitoring Phase

Continuous monitoring provides:

  • Real-time Agent status updates

  • Performance metrics tracking

  • Workflow progress reporting

6.2 Key Interaction Patterns

Agent-to-Agent Communication

  • Direct result sharing between Agents

  • Coordinated task execution

  • Dependency management

Data Flow Control

  • Structured data request patterns

  • Secure data transmission

  • Efficient result sharing

Platform Orchestration

  • Centralized deployment management

  • Permission control

  • Workflow coordination

Agent Interaction and Lifecycle in HighKey Platform