Hiring sync
Ask for the pipeline of a role: Memtro groups applications by stage, names the candidates and flags who has been waiting longest.
Your hiring pipeline, answered in plain language.
Connect Greenhouse Recruiting and Memtro can list open roles with their hiring teams, show where every candidate sits in the pipeline, read scorecards and upcoming interviews, and track offer status. Read-only through a Harvest API key; salary and compensation fields are never requested.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Greenhouse tool, reads what it needs, and answers with the source cited.
Ask for the pipeline of a role: Memtro groups applications by stage, names the candidates and flags who has been waiting longest.
Before a decision meeting, ask for a candidate: Memtro gathers their applications, every scorecard's recommendation and the interviews already held.
Questions people ask once Greenhouse is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.
Teams that get the most from Greenhouse in Memtro, with the rest of their stack attached.
A record in Greenhouse is rarely the whole story. Connect the systems that hold the rest and the agent cross-references them by default, then remembers what it learned so the next question starts further along.
Using something else for the same job, or both? Each connector has its own tools; connect as many as you like.
Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The Greenhouse tools are the same everywhere.
Set it up as an MCP server →Clients and agents →Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.