How V7 gives AI agents institutional memory
On September 21, 2026, OpenAI publishes how V7 (Europe) builds institutional memory for agents. V7 Go is an agent-based platform for critical processes: GPT-5.6 Luna extracts information from millions of files into a Context Graph (entities, relationships and evidence with citations), with MCP search and workflows of hundreds of steps. Workflows use GPT-5.6 Terra and Sol, and for the hard graph queries also GPT-6 Astra (according to V7: 89% accuracy on hard graph queries). It connects to SharePoint and Google Drive. According to the company, agents complete workflows of 50 to 100 steps in minutes with an audit trail.
Otomatzia editorial · Published
Source published: · OpenAI
