Orion MCP
Autonomous AI orchestration system with 20+ MCP tools, distributed architecture, and multi-platform integration for task automation. The system manages communication (WhatsApp, Gmail, Beeper), calendar, Drive, memory, and task execution through a cascading LLM architecture with automatic failover.
Key Metrics
The Challenge
Needed a unified system to orchestrate multiple AI models, communication platforms (WhatsApp, Gmail, Beeper), calendar, Drive, and memory systems with autonomous task execution capabilities.
Solution
Built a distributed MCP (Model Context Protocol) architecture with daemon processes, Qdrant vector memory, multi-model LLM routing, and 20+ integrated tools for WhatsApp, Gmail, Calendar, Drive, tasks, and network management.
Systems Design Patterns
Event-Driven Architecture - MCP daemons for autonomous background processing
Distributed State Management - Qdrant vector DB + PostgreSQL hybrid storage
Cascading Fallback Pattern - Multi-provider LLM routing with quota management
Tool Abstraction Layer - Unified interface for 20+ external APIs
Business Impact
- Autonomous task execution with background daemon processes
- Multi-platform communication orchestration (WhatsApp, Gmail, Beeper, Telegram)
- Vector-based memory system with Qdrant for semantic search
- Cascading LLM architecture with automatic fallback (Gemini → Groq → Ollama)