Eliminate slow queries and reduce database costs. AI agents that understand your data patterns and optimize accordingly.
Database performance is the silent killer of user experience. A query that takes 200ms in development can take 20 seconds in production when the table grows from a thousand rows to a million. Most teams react to database problems after users complain. Agentik {OS} takes a proactive approach, continuously analyzing query patterns and recommending optimizations before they become incidents.
Our database agents connect to your database and analyze query execution plans, index usage, table statistics, and connection pool health. They identify the specific queries that consume the most time and resources and generate optimized versions with proper indexing strategies. Every recommendation includes a before-and-after performance comparison so you can see the impact before deploying.
Database costs scale with compute and I/O, both of which are directly affected by query efficiency. By optimizing your most expensive queries, Agentik {OS} often reduces database costs by 30-50%. For managed databases like PlanetScale, Neon, or RDS, this translates directly to lower monthly bills without any infrastructure changes.
The agent connects to your database (read-only) and profiles query patterns, execution plans, and table statistics over a configurable time window.
Queries are ranked by total execution time, frequency, and resource consumption. The top offenders are analyzed first.
Missing indexes, redundant indexes, and suboptimal index configurations are identified. The agent generates CREATE INDEX statements with impact estimates.
Inefficient queries are rewritten to use better join strategies, avoid N+1 patterns, and leverage database-specific optimizations.
Continuous monitoring is configured to alert on query performance regressions and provide ongoing optimization suggestions.
PostgreSQL, MySQL, SQLite, MongoDB, and Redis. For managed services, we support PlanetScale, Neon, Supabase, and Amazon RDS with service-specific optimizations.
No. The agent operates with read-only access for analysis. Index creation and query changes are provided as recommendations that your team reviews and applies through your normal deployment process.
Yes. For Convex, the agent analyzes query functions, index definitions, and data access patterns to optimize read and write performance within the reactive database model.
See how our AI agents handle database optimization and dozens more tasks autonomously.
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