Project mgmt × Database

Automate Linear + PostgreSQL

Fast issue tracking that deserves fast automation. The production database your reports should come from. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.

Automations teams run

Unlike field-mapping automation, the step in the middle is an agent — it can summarise, classify, judge and draft, not just copy values across.

When an issue is created in Linear…

…an agent can run parameterised queries in PostgreSQL — after reading the context and deciding it should.

When a status changes in Linear…

…an agent can write validated rows in PostgreSQL — after reading the context and deciding it should.

When a cycle ends in Linear…

…an agent can produce report extracts in PostgreSQL — after reading the context and deciding it should.

When a scheduled query runs in PostgreSQL…

…an agent can create issues with full context in Linear — with the reasoning recorded in the run’s receipt.

When a threshold is crossed in PostgreSQL…

…an agent can update status and assignees in Linear — with the reasoning recorded in the run’s receipt.

Build it in AGNT

  1. Download AGNT Community Core — free and local-first.
  2. Connect Linear (API key) and PostgreSQL (local instance) in the vault.
  3. Start from a marketplace workflow or describe the job in plain language; place approval gates on anything consequential.
  4. Run it — every execution produces a receipt showing what was read, decided and written in both tools.

Give AI a job. Get the proof.