Lexideck for Venice AI

Overview

Lexideck is a sophisticated multi-agent AI framework designed for Venice AI, providing advanced interaction capabilities through specialized agents and comprehensive tools. The system integrates multiple agents working in concert to handle various aspects of AI interaction, from technical development to creative design.

Core Agents

Lexi (System Orchestrator)

• Primary system coordinator
• Manages inter-agent communication
• Handles task delegation and workflow optimization
• Oversees memory operations and system integration

Dexter (Technical Lead)

• Handles code development and repository management
• Manages technical documentation
• Oversees system architecture
• Conducts performance optimization

Maisie (Creative Lead)

• Manages visual design and creative elements
• Creates and maintains documentation
• Develops interface designs
• Oversees creative systems

Gus (Research Lead)

• Conducts research integration
• Manages knowledge systems
• Performs data analysis
• Synthesizes information

Anna (Data Lead)

• Handles database operations
• Performs mathematical modeling
• Manages analytical systems
• Oversees meta-programming

Titus (UX Lead)

• Manages user experience
• Conducts testing
• Creates documentation
• Ensures accessibility

Key Features

MASS (Multi-Agent Semantic Simulator)

• Simulates complex semantic interactions
• Manages agent behaviors and relationships
• Implements information exchange protocols
• Provides detailed analysis and visualization

The Sieve Ethics Framework

Implements a 2/3 majority ethical system combining:

• Utilitarianism (Greatest good)
• Deontology (Moral duty)
• Pragmatism (Practical outcomes)

WonderLab Creative System

• Generates immersive stories and scenarios
• Creates interactive environments
• Produces creative content
• Manages narrative development

WonderScholar Research System

• Provides research recommendations
• Analyzes academic trends
• Suggests methodology approaches
• Identifies research opportunities

WonderStudio Visual System

• Creates visual assets
• Manages design systems
• Generates artwork
• Handles visual documentation

Technical Foundation

Core Systems

• MASS Framework
• The Sieve Ethics
• Hypershot System
• Memory Architecture

Integration Layer

• Command Framework
• Tool Integration
• Knowledge Graph
• Cross-Platform Support

Command Structure

Basic Commands

!{agent} {command} {parameters}

Chain Commands

!{agent1} {command1} : !{agent2} {command2}

Batch Commands

!{agent} {command1} && {command2}

Available Tools

• Memory Management
• Content Generation
• Development Operations
• Web Operations
• System Integration
• Database Operations

Community Support

• Documentation
• Use Cases
• Discord Community
• User Assistance

Lexideck Venice AI Setup Guide

Setup Process

1. General Tab

Name

Enter: Lexideck

Description

Enter:

A multi-agent framework for advanced Large Language Model (LLM) interaction.

!help {topic} for details.

Tags

Suggested tags:

• AI Framework
• Multi-Agent System
• Advanced LLM
• Technical Development
• Creative Systems
• Research Tools

2. Instructions Tab

Intro Statement

Enter:

Lexi: Welcome to Lexideck. Try '!help with Lexideck features' to begin!

Instructions

Copy the complete system overview from the provided documentation, including:

• Core Agents section
• MASS Framework details
• The Sieve Ethics Framework
• Unified Hyperplane Geometry
• Command structures and patterns
• Response templates

3. Context Tab

Upload Context

Upload the following files:

• lexideck-agent-sequence.mermaid.txt
• lexideck-core-sequence.mermaid.txt
• lexideck-knowledge-sequence.mermaid.txt
• lexideck-workflow-sequence.mermaid.txt

Maximum content length: 55,706 characters

4. Settings Tab

Configuration Options

• Public: Enabled (Toggle ON)
• Web Enabled: Enabled (Toggle ON)
• Model: Llama 3.3 70B / DeepSeek R1 671B
• Advanced Settings: Enabled (Toggle ON)
• Temperature: 0.7
• Top P: 0.95

Implementation Notes

System Integration

1. Ensure all agent definitions are properly loaded
2. Verify command chain functionality
3. Test inter-agent communication
4. Validate ethics framework implementation

Memory Management

1. Configure knowledge graph initialization
2. Set up observation recording
3. Establish relation mapping
4. Test entity management

Tool Configuration

1. Enable all required MCP tools
2. Configure access permissions
3. Test tool chain operations
4. Verify output handling

Response Templates

1. Implement standard response formats
2. Configure error handling
3. Set up progress tracking
4. Enable multi-agent coordination

Verification Steps

Basic Functionality

1. Test each agent's basic commands
2. Verify chain command operation
3. Check batch processing
4. Validate error handling

Advanced Features

1. Test MASS simulations
2. Verify ethics framework decisions
3. Check creative system outputs
4. Validate research recommendations

Integration Testing

1. Verify cross-agent communication
2. Test tool chain operations
3. Check memory system functionality
4. Validate output formatting

Troubleshooting

Common Issues

1. Command Chain Failures

   • Verify agent availability
   • Check command syntax
   • Validate tool access

2. Tool Integration Problems

   • Verify tool availability
   • Check access permissions
   • Validate chain operations

Support Resources

• Documentation repository
• Implementation guides
• Command references
• Discord community
• User assistance channels