Connect PostgreSQL to Linear with an AI agent
An agent watches rows via read-only queries in PostgreSQL, decides what matters, and creates or updates an issue in Linear. Velaris connects PostgreSQL and Linear through its capability mesh, so you describe the outcome instead of drawing a trigger-and-action flowchart — and anything outbound or irreversible waits for your approval.
Linear is on the roadmap — join the list to get it first.
What you can automate
- Velaris can inspect schemas, tables and columns in PostgreSQL, judge what's worth acting on, and creates or updates an issue in Linear — so the change is filed where engineering already triages.
- When records in PostgreSQL need something done in Linear, the agent does it and stops for your approval on anything outbound or irreversible.
- On a schedule or on a trigger, it can create issues from other tools in Linear from what it found in PostgreSQL — every write logged, scoped and reversible.
How it works
- 1
Connect PostgreSQL and Linear
Authorize both tools with scoped access you control.
- 2
Say what you want
Describe the outcome in a sentence — no trigger/action graph to draw.
- 3
Set the approval tier
Reads run automatically; outbound or irreversible steps wait for your tap.
Common questions
Can Velaris connect PostgreSQL to Linear without code?
Yes. Connect both tools, then describe the outcome in plain language — the agent selects the right actions from the capability mesh itself. There's no flowchart to build.
How is this different from a PostgreSQL-to-Linear Zap or automation?
A rule fires the same way every time. An agent reads the PostgreSQL context, decides whether it matters, and adapts what it does in Linear — pausing for approval on anything outbound or irreversible.
Will it act in Linear without asking me?
Only for read-only steps. Writes are logged, and anything destructive or outbound needs an explicit human approval — credentials are scoped to the run and expire with it.