Sqlew FAQs

Question 1

What are the main benefits of using Sqlew for architectural decision management?

Accepted Answer

Sqlew offers structured records with metadata, efficient SQL-based querying for AI, a three-tier similarity detection system to prevent duplicates, significant token reduction (60-75%), millisecond queries, and persistent architectural memory across all AI sessions and team members.

Question 2

Does Sqlew help in preventing duplicate or conflicting architectural decisions?

Accepted Answer

Yes, Sqlew features a robust three-tier similarity detection system. This system actively identifies and flags duplicate or closely related decisions, ensuring architectural consistency and preventing the reintroduction of previously rejected patterns.

Question 3

How does Sqlew automatically capture architectural decisions?

Accepted Answer

Sqlew integrates seamlessly with Claude Code's Plan Mode. Every time a plan is created and approved (ExitPlanMode), Sqlew automatically records the architectural decisions as structured ADR knowledge, requiring no special commands from the user.

Question 4

What is Sqlew and what problem does it solve for AI agents?

Accepted Answer

Sqlew is an MCP server that provides AI agents with a structured, SQL-backed system to create, query, and maintain Architecture Decision Records (ADR). It solves the problem of AI agents lacking persistent memory, preventing them from re-learning decisions or reintroducing rejected patterns across sessions.

Question 5

Which database backends does Sqlew support?

Accepted Answer

Sqlew supports multiple database backends, including SQLite (default for personal/small projects), PostgreSQL 12+, and MySQL 8.0+ / MariaDB 10+. This allows for flexibility from local development to production, team-shared environments.

Sqlew

Sqlew

Key Features

Use Cases

Key Features

Use Cases