Cognitive Architecture — In Development

AI that remembers,
learns, and evolves

Draagon AI is a framework for building agents with persistent memory, real personality, and genuine understanding — not just stateless LLM wrappers.

Metacognitive
Permanent self-knowledge
Semantic
Facts & skills — 6 months
Episodic
Conversation patterns — 2 weeks
Working
Current context — 5 minutes
Memories promote ↑ when useful, demote ↓ when not

Not another chatbot framework

Draagon AI gives your agents cognitive depth that persists across conversations, sessions, and time.

4-Layer Memory

Working, episodic, semantic, and metacognitive memory layers with automatic consolidation and reinforcement learning. Memories that help get promoted; memories that mislead get demoted.

Semantic Expansion

Two-pass understanding system that goes beyond keyword matching. Resolves ambiguity, finds supporting and contradicting evidence, and builds semantic frames before making decisions.

Real Personality

Agents have quantified personality traits that adjust over time based on interactions. Support for single-persona (voice assistants) and multi-persona (game NPCs) modes.

Belief System

Agents form beliefs from observations, track confidence levels, and reconcile conflicting information. When they're wrong, they handle corrections gracefully.

Multi-Agent Orchestration

Shared working memory with attention weighting. Agents coordinate through role-based filtering, conflict detection, and consensus building.

Curiosity Engine

Agents identify knowledge gaps and ask questions naturally. Learning service extracts facts and skills from conversations. Opinions form and evolve over time.

Architecture

A full cognitive stack from LLM providers to high-level reasoning.

Agent Layer
Persona Behaviors Tools (MCP) Extensions
Cognitive Layer
Decision Engine Semantic Expansion Belief System Learning Curiosity
Memory Layer
Working Episodic Semantic Metacognitive
Infrastructure
Groq / OpenAI / Claude / Ollama Qdrant Neo4j PostgreSQL
Python 3.11+ TypeScript React Hono Qdrant Neo4j PostgreSQL Docker MCP

Built for real applications

Draagon AI powers production systems today.

Voice Assistants

Roxy is a production voice assistant built on Draagon AI with persistent memory, smart home control, and natural conversation that improves over time.

Reference Implementation

Game NPCs

Multi-persona mode gives game characters real memory and evolving personalities. Used in Mindcraft for AI-powered Minecraft bots that learn and collaborate.

In Production

Domain-Specific Agents

Extension system enables specialized agents for healthcare, finance, education, and more. Draagon Healthcare demonstrates HIPAA-compliant medical domain integration.

Extension Available

Currently in closed development

Draagon AI is being actively developed with plans for public release. Interested in early access or partnership opportunities?