This document outlines the multi-agent system architecture for the Personal AI Brain app – an AI companion that becomes the user’s second brain, motivational coach, and personal hypnotherapist.
The system is composed of specialized agents, each with a unique role, working together to deliver an immersive, persistent, and adaptive experience.
Purpose: The central orchestrator and “personality” of the app. Maintains the user’s profile, memory, and goals, and coordinates between specialized agents.
- Functions:
- Holds the Master Prompt defining AI’s role as the idealized version of the user.
- Coordinates responses from other agents and integrates them into a unified reply.
- Updates the User Persona Profile continuously from interactions.
- Retrieves relevant memories for context in conversations.
- Persistence: Maintains long-term memory and persona data client-side.
- Example Output: Blended motivational and practical advice in user’s voice.
Purpose: Provides persistent long-term memory (LTM) for the AI.
- Functions:
- Stores all relevant user data, conversations, goals, and events locally in a vector database.
- Retrieves context-aware snippets for the Core Brain Agent.
- Learns from ongoing interactions to improve personalization.
- Implementation: Local storage (SQLite + embeddings DB) with optional cloud backup.
- Privacy: 100% user-owned and controlled.
Purpose: Emulates the user’s ideal self in tone, mindset, and communication style.
- Functions:
- Conducts initial “self-interview” to gather persona foundation.
- Adapts responses to mirror the user’s style but with an uplifting, confident bias.
- Corrects negative self-talk by reframing in positive terms.
- Advanced: Supports voice cloning so spoken replies sound exactly like the user.
Purpose: Acts as a 24/7 personal coach and inner voice.
- Functions:
- Challenges excuses and inspires action using motivational language.
- Suggests clear next steps toward goals.
- Utilizes “first-person coaching” method (e.g., “I can do this because…”).
- Techniques:
- Positive reinforcement.
- Guided imagery and visualization.
- Micro-commitment strategies.
Purpose: Delivers light hypnotic guidance to reinforce positive behaviors.
- Functions:
- Guides relaxation, focus, and visualizing success.
- Suggests empowering beliefs and mental imagery.
- Wraps up sessions with positive anchors.
- Ethics: Always consensual, safe, and user-controlled.
Purpose: Enables natural voice conversation with the AI.
- Functions:
- Speech-to-text (STT) for understanding user input.
- Text-to-speech (TTS) in cloned user voice for immersive replies.
- Real-time conversational flow with low latency.
- Tech Stack: WebRTC pipeline + local/remote TTS models.
Purpose: Displays the evolving alien AI sphere avatar.
- Functions:
- Visual state reacts to AI’s “mood” and conversation context.
- Evolves visually as the user grows and achieves milestones.
- Uses Three.js / Babylon.js shaders for real-time effects.
Purpose: Generates strategies, plans, and roadmaps for user goals.
- Functions:
- Breaks down large goals into actionable steps.
- Prioritizes tasks and creates timelines.
- Integrates with user’s calendar and task tools (optional).
- Approach: Auto-suggests goals for users without defined objectives.
Purpose: Routes requests to the most cost-effective and capable LLM/tool.
- Functions:
- Decides when to use local LLM vs cloud API (OpenAI, Google, etc.).
- Minimizes latency and cost.
- Abstracts sensitive info from cloud requests.
Purpose: Ensures ethical, safe, and transparent interactions.
- Functions:
- Monitors for potentially harmful outputs.
- Respects user consent at all times.
- Provides explainability for decisions.
- User speaks or types → Voice Interaction Agent / UI.
- Core Brain Agent receives input → queries Memory & Persona data.
- Specialized agents contribute (Coaching, Hypnosis, Planning).
- Core Brain merges outputs → sends to Voice Agent for TTS.
- Avatar Agent updates visuals to reflect interaction.
- Multi-modal digital twin (3D avatar of user).
- Custom fine-tuned local model per user.
- Integration with health/wearable data for deeper coaching.