SQLew
Optimizes multi-agent coordination through intelligent SQLite database design with normalized tables, integer enums, and pre-aggregated views to achieve 96% token reduction in context sharing for decision tracking, agent messaging, file change monitoring, and constraint management.
About
SQLew is designed to achieve dramatic token reduction in context sharing between Claude Code sub-agents through intelligent database design and action-based tools. The implementation uses SQLite with normalized tables, integer enums, and pre-aggregated views to eliminate string duplication and provide token-efficient responses for decision tracking, agent messaging, file change monitoring, and constraint management. Built with automatic cleanup, weekend-aware retention policies, and comprehensive metadata organization through tags, layers, and scopes, it enables efficient multi-agent coordination in development projects while maintaining full transaction integrity and version history.
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