124 lines
3.8 KiB
Markdown
124 lines
3.8 KiB
Markdown
# Project Outline: Multi-modal AI Agent
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## Overview
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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.
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## Initial Version
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### Core Features
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#### Master Personal Assistant Mode
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* Central orchestrator handling user interactions and basic task execution.
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* Delegates specialized tasks to appropriate roles and tools.
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* Capable of dynamic role and tool management.
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#### Modularity & Extensibility
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* Local tools defined modularly in tools.d directory.
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* Roles managed separately in roles.d, with clearly defined permissions (allow/deny lists).
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* Configurations managed separately in conf.d for ease of management and versioning.
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#### Multi-modal Interaction
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* Supports Command-Line Interface (CLI), Web Interface, and REST API.
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#### Persistent Memory
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* SQLite-based persistent storage for context and historical interactions.
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* Structured to allow easy migration to more scalable solutions (e.g., PostgreSQL, Redis).
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#### Proactive Capabilities
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* Runs as a system service capable of initiating tasks without user prompt (alerts, reminders).
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#### MCP (Multi-Context Provider)
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* Enables expanded context/tool integration.
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* Managed dynamically for runtime discovery and integration.
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#### Task Delegation
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* Standardized dispatcher handling task delegation and results.
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* Structured task format (JSON schema) for internal communication.
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#### Logging & Diagnostics
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* Structured logging for debugging and monitoring.
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* Built-in health checks and diagnostic reporting.
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### Enhanced Modularity (Initial Version)
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#### Interface Standards
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JSON/YAML schema for tool input/output.
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Explicit metadata documentation for tools and MCPs.
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Roles and Permissions
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Explicit allow/deny lists for tools and MCP access.
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Simple inheritance structure for role management.
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## Future Version Enhancements
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### Advanced Connectivity & Integration
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* Webhooks/Event-driven integrations
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### Predictive and Proactive Intelligence
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* Predictive task automation
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* User profiling & preference management
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* Automatic context detection
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### Security & Privacy
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* Secure secrets management
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* Data encryption at rest/transit
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* Privacy mode
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### Self-documenting & Explainability
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* Interactive documentation
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* Explainability mode
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* Audit trail
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### Robustness & Reliability
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* Automatic retry/task resilience
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* Self-monitoring and health checks
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* Disaster recovery and backups
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### Analytics & Insights
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* Usage/system analytics dashboard
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### Advanced NLP & Reasoning
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* Multi-step reasoning
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* Conversational memory
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### Convenience & Accessibility
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* Voice interfaces
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* Cross-device syncing
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* Task templates
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### Information Retrieval
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* Document parsing and summarization
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* Semantic search
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### Sustainability & Ethics
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* Eco-friendly resource management
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* Transparency reporting
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## Technology Stack (Recommended)
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* Languages: Python (primary), Golang/Rust (optional high-performance modules)
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* Databases: SQLite (initial), PostgreSQL/Redis (future)
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* Frameworks: FastAPI, Typer, Celery
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* NLP/AI: LangChain, multiple API providers (OpenAI, Anthropic, Google, etc), local embeddings/models
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## Suggested Initial Directory Structure
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ai-agent/
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├── agent.py
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├── roles.d/
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│ ├── home_automation.yaml
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│ ├── devops.yaml
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│ └── calendar.yaml
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├── tools.d/
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│ ├── homeassistant.py
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│ ├── google_calendar.py
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│ ├── nginx_admin.py
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│ └── docker_manager.py
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├── mcps.d/
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│ ├── web_search.py
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│ ├── project_generator.py
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│ └── weather_provider.py
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├── conf.d/
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│ ├── homeassistant.yaml
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│ ├── calendar.yaml
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│ ├── openai_api.yaml
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│ └── general_settings.yaml
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├── memory.db
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└── logs/
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└── agent.log
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