Wake Intelligence
Provides temporal intelligence for AI agents through a 3-layer brain architecture managing past, present, and future contexts.
About
Wake Intelligence is a production-ready Model Context Protocol (MCP) server that implements a sophisticated temporal intelligence 'brain' for AI agents. It features a unique three-layer architecture: a Causality Engine for understanding past contexts and relationships, a Memory Manager for optimizing present relevance, and a Propagation Engine for predicting future context needs. This tool serves as a reference implementation for Semantic Intent as Single Source of Truth patterns, emphasizing observable properties and clear domain boundaries to create maintainable and AI-friendly codebases.
Key Features
- 4-tier memory classification (ACTIVE, RECENT, ARCHIVED, EXPIRED) with LRU tracking and automatic recalculation
- Causal chain tracking and reasoning reconstruction for 'why' contexts were created
- 1 GitHub stars
- 3-layer temporal intelligence system (Past: Causality, Present: Memory, Future: Propagation)
- Composite prediction scoring (temporal, causal, frequency) for proactive context pre-fetching
- Hexagonal Architecture with clear separation of concerns (Domain, Application, Infrastructure, Presentation)
Use Cases
- Enable AI agents to understand causal relationships and reconstruct past reasoning
- Optimize AI agent memory management by prioritizing relevant contexts and pruning expired ones
- Predict future context needs for AI agents to enable pre-fetching and caching strategies
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