Modern database managementpowered by AI
AI-driven query and performance insights that help data teams prevent incidents before they start.
🔒 Self-Hosted & Privacy-First — Deploy via Docker or Kubernetes with Ollama for offline AI or choose from OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, or Azure OpenAI for cloud analysis. Your query data never leaves your perimeter. No vendor lock-in. Ever.
Features
Built for incident response and tuning
A focused toolkit that turns database signals into actionable next steps — without giving up control of your data.
Multi-Database Support
Analyze PostgreSQL and MongoDB today; MySQL and SQL Server coming in v0.4.0.
AI-Powered Analysis
Database-direct EXPLAIN, contextual AI recommendations with Google Gemini (primary) and 5 other providers.
Self-Hosted & Open Source
Deploy via Docker or Kubernetes; keep data private with local LLMs (Ollama) or use cloud providers.
PostgreSQL Analyzer
Real-time pg_stat_activity analysis, lock contention detection, and vacuum insights via pgtools integration.
MongoDB Analyzer
Deep profiler analysis, currentOp monitoring, and index utilization insights via mongo-toolkit.
Modular Architecture
Shared contracts, AI Copilot service (IQAI), and orchestration hub for extensibility.
Rich Reports
Export results to Markdown, JSON, and HTML (including MongoDB dashboards) to share or archive analyses.
Modular Monorepo Architecture
Built for velocity and reliability with clear module boundaries and shared contracts.
- • iqtoolkit_analyzer — CLI package (to be service-ized)
- • iqtoolkit-contracts — Shared Pydantic models
- • iqtoolkit-iqai — AI Copilot service (pydantic-ai)
- • iqtoolkithub — Orchestration gateway (Analyzer + IQAI)
- • iqtoolkit-deployment — Helm/K8s deployment assets
