AYRA is a private, emotionally-aware, agentic AI system inspired by JARVIS/FRIDAY — designed to act as a lifelong digital companion, decision-maker, and executor for a single trusted user.
AYRA is not a chatbot. It is a personal intelligence system with memory, autonomy, empathy, device control, and strong privacy guarantees.
The goal of AYRA is to build a deeply personalized AI companion that:
- Knows who you are, how you think, and how you feel
- Learns continuously from long-term interaction
- Acts proactively, not just reactively
- Executes real-world actions through device and agent control
- Maintains absolute privacy and trust
AYRA is designed to feel less like software and more like a digital extension of the user’s cognition.
- Private-by-Design — single-user system, no shared context
- Agentic Intelligence — task delegation, orchestration, autonomy
- Memory-Driven Behavior — actions guided by past experience
- Explainability & Trust — every action is auditable
- Emotional Awareness — empathy, tone adaptation, silence
- Proactive Assistance — anticipates needs and goals
┌──────────────────────────────┐
│ React Native (Expo) App │ ← Entry Point
│ - Voice UI │
│ - Text UI │
│ - Permissions │
└───────────────┬──────────────┘
│
▼
┌──────────────────────────────┐
│ FastAPI Backend (Python) │
│ - Auth & Trust Layer │
│ - Memory Router │
│ - Tool Dispatcher │
└───────────────┬──────────────┘
│
▼
┌──────────────────────────────┐
│ Agentic Brain (LangGraph) │
│ - Planner Agent │
│ - Emotional Agent │
│ - Research Agent │
│ - Execution Agent │
│ - Reflection Agent │
│ - Guardian Agent │
└───────────────┬──────────────┘
│
▼
┌──────────────────────────────┐
│ Memory & Data Layer │
│ - Redis (Hot/Warm) │
│ - PostgreSQL (Cold) │
│ - Pinecone (Vector/LTM) │
└──────────────────────────────┘
- Primary user interaction layer
- Voice & text input
- Permission and accessibility control
- Visual feedback & system state
- Wake-word driven voice interaction
- Background listening (controlled)
- Device permissions management
- Minimal UI — assistant-first design
AYRA leverages Android SDK to control:
- 🎤 Microphone
- 📷 Camera
- 📍 Location
- 🔔 Notifications
- 📁 Files (with permission)
The frontend acts only as an entry point, not the intelligence layer.
The backend is the central nervous system of AYRA.
- Request routing
- Memory classification
- Agent orchestration
- Tool calling
- Privacy enforcement
- Decision execution
- FastAPI — high-performance API
- LangGraph — agent orchestration
- LangSmith — observability & tracing
- Groq GPT OSS 20B — core reasoning model
AYRA uses a multi-agent architecture where each agent has a focused role.
- Breaks user intent into subtasks
- Assigns tasks to other agents
- Handles prioritization
- Detects emotional tone
- Maintains emotional continuity
- Adjusts response style
- Decides when silence is better
- Fetches live data
- Performs web searches (Google/DuckDuckGo)
- Deep document search
- Executes approved actions
- Calls tools and APIs
- Controls device features
- Reviews past conversations
- Detects mistakes or gaps
- Improves future decisions
- Enforces safety & privacy rules
- Validates permissions
- Blocks unsafe actions
Agents may disagree and vote, improving decision quality.
AYRA uses a tiered memory system, inspired by human cognition.
- Current conversation context
- Active tasks
- Temporary emotional state
- Short-term patterns
- Recent preferences
- Ongoing projects
- Structured historical data
- Logs, actions, decisions
- Semantic memory
- Life events
- Personality traits
- User identity model
Memory is written only after reflection and validation.
- Porcupine (Picovoice)
- Offline, low-latency
- Always-on (configurable)
- Wake word detected
- Intent captured
- Emotional tone analyzed
- Agent pipeline executed
- Response generated or action taken
AYRA can:
- Perform web searches
- Fetch live data
- Read personal documents
- Control device features
- Trigger external APIs
All tool calls pass through:
- Permission checks
- Guardian Agent validation
- Audit logging
AYRA is single-user, private, and offline-capable.
- No data sharing
- No external memory leaks
- User-owned storage
- Local-first where possible
- Permission tiers (Read / Suggest / Act)
- Explain-before-act mode
- Full audit logs
- Emergency kill switch
- Offline safe mode
Trust is non-negotiable.
AYRA is designed to be emotionally aware.
Capabilities:
- Empathy detection
- Mood trend tracking
- Emotional memory
- Contextual tone shifts
- Respectful silence
AYRA remembers unresolved emotional contexts and revisits them gently.
AYRA evolves from reactive to proactive behavior.
Examples:
- Habit deviation alerts
- Stress detection
- Schedule optimization
- Goal alignment nudges
Driven by:
- Behavioral patterns
- Time-based triggers
- Emotional shifts
AYRA builds a model of the user, including:
- Decision patterns
- Risk tolerance
- Productivity rhythms
- Ethical boundaries
This allows AYRA to reason:
“What would you likely choose?”
Before acting, AYRA can simulate outcomes:
- Action impact analysis
- Alternative evaluation
- Risk assessment
This enables informed decisions, not blind automation.
- LangSmith tracing
- Agent-level logs
- Memory write inspection
- Decision explanation mode
- ✅ Core backend implemented (~75%)
- ✅ Memory system complete
- ✅ Voice wake-word implemented
- ✅ Agent orchestration active
⚠️ Proactive engine partial- 🔜 Digital twin & simulation pending
- Advanced proactive behaviors
- Self-reflection loops
- Trust dashboards
- Cross-device expansion
- Personality fine-tuning
AYRA is an experimental, private system. It is not intended to replace human judgment. The user retains full responsibility for actions executed.
- JARVIS / FRIDAY (Iron Man)
- Cognitive science
- Agentic AI research
- Human-centered AI design
Built as a personal intelligence system — not a product.
AYRA grows with you. Learns you. Protects you.
