# Project Outline: Multi-modal AI Agent

## Overview
This project aims to create a versatile, modular, multi-modal AI agent. Example uses include managing calendars and communications, controlling home automation, assist in setting up development projects, managing servers, and retrieving information.

## Initial Version

### Core Features

#### Master Personal Assistant Mode
* Central orchestrator handling user interactions and basic task execution.
* Delegates specialized tasks to appropriate roles and tools.
* Capable of dynamic role and tool management.

#### Modularity & Extensibility
* Local tools defined modularly in tools.d directory.
* Roles managed separately in roles.d, with clearly defined permissions (allow/deny lists).
* Configurations managed separately in conf.d for ease of management and versioning.

#### Multi-modal Interaction
* Supports Command-Line Interface (CLI), Web Interface, and REST API.

#### Persistent Memory
* SQLite-based persistent storage for context and historical interactions.
* Structured to allow easy migration to more scalable solutions (e.g., PostgreSQL, Redis).

#### Proactive Capabilities
* Runs as a system service capable of initiating tasks without user prompt (alerts, reminders).

#### MCP (Multi-Context Provider)
* Enables expanded context/tool integration.
* Managed dynamically for runtime discovery and integration.

#### Task Delegation
* Standardized dispatcher handling task delegation and results.
* Structured task format (JSON schema) for internal communication.

#### Logging & Diagnostics
* Structured logging for debugging and monitoring.
* Built-in health checks and diagnostic reporting.

### Enhanced Modularity (Initial Version)
#### Interface Standards
JSON/YAML schema for tool input/output.
Explicit metadata documentation for tools and MCPs.
Roles and Permissions
Explicit allow/deny lists for tools and MCP access.
Simple inheritance structure for role management.

## Future Version Enhancements

### Advanced Connectivity & Integration
* Webhooks/Event-driven integrations

### Predictive and Proactive Intelligence
* Predictive task automation
* User profiling & preference management
* Automatic context detection

### Security & Privacy
* Secure secrets management
* Data encryption at rest/transit
* Privacy mode

### Self-documenting & Explainability
* Interactive documentation
* Explainability mode
* Audit trail

### Robustness & Reliability
* Automatic retry/task resilience
* Self-monitoring and health checks
* Disaster recovery and backups

### Analytics & Insights
* Usage/system analytics dashboard

### Advanced NLP & Reasoning
* Multi-step reasoning
* Conversational memory

### Convenience & Accessibility
* Voice interfaces
* Cross-device syncing
* Task templates

### Information Retrieval
* Document parsing and summarization
* Semantic search

### Sustainability & Ethics
* Eco-friendly resource management
* Transparency reporting

## Technology Stack (Recommended)
* Languages: Python (primary), Golang/Rust (optional high-performance modules)
* Databases: SQLite (initial), PostgreSQL/Redis (future)
* Frameworks: FastAPI, Typer, Celery
* NLP/AI: LangChain, multiple API providers (OpenAI, Anthropic, Google, etc), local embeddings/models

## Suggested Initial Directory Structure
ai-agent/
├── agent.py
├── roles.d/
│   ├── home_automation.yaml
│   ├── devops.yaml
│   └── calendar.yaml
├── tools.d/
│   ├── homeassistant.py
│   ├── google_calendar.py
│   ├── nginx_admin.py
│   └── docker_manager.py
├── mcps.d/
│   ├── web_search.py
│   ├── project_generator.py
│   └── weather_provider.py
├── conf.d/
│   ├── homeassistant.yaml
│   ├── calendar.yaml
│   ├── openai_api.yaml
│   └── general_settings.yaml
├── memory.db
└── logs/
    └── agent.log
