OpenGTM turns a market, a list, or a workbook into enriched, researched, ready-to-contact prospects on servers you control. Give it a market and it sources companies and people; hand it a CSV or a Clay table and it maps the columns into a shared record library. Enrichment columns run as waterfalls that try providers in cost order until a field is filled, and before anything spends a cent you see best and worst case estimates, with a workbook budget ceiling that halts paid calls on its own. Research columns send an agent to answer the hard question for each row, and the answer keeps citations to the pages it actually fetched, so a human can audit the claim before outreach. Live audiences segment your records and watch for hiring and buying signals, refreshing on schedules and firing automations when a prospect heats up. Finished rows flow out to HubSpot, Salesforce, Slack, Sheets, Airtable, Instantly, Smartlead, webhooks, or a warehouse, while every cell keeps a trace of provider attempts, latency, and cost. Your own agents get the same workspace through a REST API, webhooks, and an MCP server with scoped read and write tokens, and a seeded zero-key demo means the team can explore the whole loop before adding a single provider key under Settings. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.