ai-agent/.knowledge-base/ProjectOutline.md

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