hypopg

OptimizeQL — AI-powered SQL query optimizer

Secure PostgreSQL Administration & Observability with Code Mode— True V8 Isolate Sandbox Replacing 278 Specialized Tools for up to 90% Token Savings. Includes Tool Filtering, Payload Optimization, HTTP/SSE, OAuth 2.1, Audit & Token Logging, Deterministic Error Handling, Support for 12 Extensions (pgvector, PostGIS, pg_partman, pg_cron & more).

Find the Postgres queries that cost the most time, the index that fixes each, and whether it really did. Self-hosted, read-only, Postgres 16–18.

Stop bad PostgreSQL indexes before they reach production.

PostgreSQL MCP server (C#/.NET) that lets AI assistants and coding agents discover databases, inspect schemas, run SQL (read-only by default), explain query plans and check index and database health. Install with npx, as a .NET tool or as a standalone binary.

Reproducible Postgres 18 tuning demos in Go: measure a mistake, apply the fix, measure again

Experimental: which queries use this index? PostgreSQL extensions: native C for self-hosted 15–18, SQL edition for RDS/Aurora, with a HypoPG drop-impact check

Postgres docker image with hypopg, pg_stat_statements, pg_qualstats and supabase index_advisor pre installed

HypoPG for Windows with PostgreSQL 9.6

Missing-index advisor for PostgreSQL that proves every recommendation against the planner before you create it. Read-only, throttled to ~1% of server time, works across replicas, with a live web UI.

pgHeal — PostgreSQL autonomous index & PR robot. HypoPG-proven, zero data exfiltration.

A Universal AI Agent for PostgreSQL observability. Implements a secure, multi-tenant Go backend for pgwatch v5 with proactive alerting, live diagnostics, and MCP integration. (GSoC 2026 Proposal)