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2025-09-02 04:41:06 +02:00
2025-09-02 04:41:06 +02:00
2025-09-02 04:41:06 +02:00
2025-09-02 04:41:06 +02:00
2025-09-02 04:41:06 +02:00

Living Agents - Character Development System

A sophisticated AI-powered character development system featuring memory-based agents with dynamic personality evolution based on Stanford's "Generative Agents" research.

🎯 Project Goals

  • Create believable AI characters that remember past interactions
  • Implement dynamic personality development based on experiences
  • Build characters that evolve naturally through their experiences
  • Provide an interactive CLI tool for testing and developing characters

🏗️ System Architecture

The system consists of several interconnected components:

  1. Character Agents - AI entities with memory and personality
  2. Memory Stream - Stanford-inspired memory architecture
  3. Prompt Management - Centralized, templated prompt system
  4. Character Explorer - CLI tool for testing character development
  5. Trait System - Dynamic personality development
  6. LLM Connector - Flexible backend supporting any OpenAI-compatible API

🚀 Quick Start

  1. Set up environment variables in .env
  2. Create character templates in YAML format
  3. Run the character explorer CLI to interact with agents
  4. Observe personality development over time

📁 Project Structure

character_templates/  # YAML character definition files
living_agents/        # Core agent system
├── character_agent.py    # Main character agent implementation
├── memory_stream.py      # Memory architecture
├── prompts/              # LLM prompt templates and JSON schemas
├── datatypes.py          # Data structures and models
├── prompt_manager.py     # Template management system
└── llmagent.py          # LLM integration wrapper
llm_connector/        # LLM backend abstraction
character_explorer.py # CLI tool for testing characters

🎭 Key Features

  • Memory-Based Conversations: Characters remember and reference past interactions
  • Dynamic Traits: Personality develops incrementally from experiences
  • Structured Outputs: JSON schemas for reliable LLM responses
  • Template System: Easy character creation from YAML files
  • Flexible LLM Backend: Support for any OpenAI-compatible API endpoint
  • CLI Testing Tool: Interactive character exploration and development