PostgreSQL Integration
AgentsHub connects AI workers to PostgreSQL so they can read data before completing a task, write structured outputs to your database, and trigger actions based on what they find.
Free to start. No credit card required.
AgentsHub integrates with PostgreSQL so AI agents can interact with your relational database as a native part of their workflow — not as a separate data engineering step.
An AI Research Analyst can query a PostgreSQL database to retrieve relevant records before completing a report. An AI Bookkeeper can write structured financial summaries to a PostgreSQL table after processing invoices. An AI Operations Manager can query operational metrics and surface anomalies without requiring a human to run the queries. The integration is role-specific and query-scoped. Each agent operates with read and write permissions defined for its role — it does not have unrestricted database access. Agents use parameterized queries to prevent injection vulnerabilities. Connection is via ComposioHQ with secure credential management. Agents connect to your PostgreSQL instance with the minimum permissions their role requires.
Before completing a task, AI agents query relevant PostgreSQL tables to ground their work in your actual data — not assumptions.
After completing a task, agents insert or update PostgreSQL records with structured outputs — keeping your database current as a natural result of agent work.
Agents run scoped queries with filters, limits, and ordering to retrieve only the records relevant to their current task.
Agents write structured activity logs to designated audit tables — creating a complete record of every action taken against your database.
When a query returns records matching defined conditions, agents trigger downstream actions — alerts, CRM updates, or task creation.
Deploy any of these role-specific AI agents with PostgreSQL connected from day one.
Set up the PostgreSQL integration in minutes — no engineering team required.
Provide your PostgreSQL connection credentials via ComposioHQ. AgentsHub connects using a read-only or limited-write database user scoped to the tables your agent needs.
Select the role that will interact with PostgreSQL — Research Analyst, Bookkeeper, Operations Manager — or define a custom role.
Specify which tables your agent can read and write to, and what types of queries it is authorized to run.
Activate the agent. It begins querying and writing to PostgreSQL as part of its defined task workflow.
See what changes when your AI agent works inside PostgreSQL.
| Task | Before (Manual) | After (AI-Automated) |
|---|---|---|
| Query data before completing a report | Analyst manually runs SQL queries, exports results, and copies data into the report — a multi-step process before the real work begins. | AI Research Analyst queries the PostgreSQL database automatically before completing the report — grounded in live data, no manual extraction. |
| Log a processed invoice to the database | Bookkeeper manually enters processed invoice data into PostgreSQL — field by field, after the processing step. | AI Bookkeeper writes structured invoice records to PostgreSQL automatically as part of the processing workflow. |
| Surface operational anomalies | Operations lead manually runs queries against PostgreSQL to look for anomalies — a scheduled task that may miss real-time issues. | AI Operations Manager queries PostgreSQL continuously and surfaces anomalies as they appear — immediate detection, structured output. |
| Log data entry from an inbound form | Data entry team manually transfers form submission data into PostgreSQL — repetitive, error-prone, and delayed. | AI Data Entry Agent reads the form submission and writes structured records to PostgreSQL immediately and accurately. |
Deploy an AI agent connected to PostgreSQL in minutes. No coding. No migration. No credit card.
Free to start. No credit card required.