Airtable's Superagent maintains full execution visibility to solve multi-agent context problem

Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in parallel to complete research tasks.

The technical innovation lies in how Superagent's orchestrator maintains context. Earlier agent systems used simple model routing where an intermediary filtered information between models. Airtable's orchestrator maintains full visibility over the entire execution journey: the initial plan, execution steps and sub-agent results. This creates what co-founder Howie Liu calls "a coherent journey" where the orchestrator made all decisions along the way. "It ultimately comes down to how you leverage the model's self-reflective capability," Liu told VentureBeat. Liu co-founded Airtable more than a dozen years ago with a cloud-based relational database at its core.

Airtable built its business on a singular bet: Software should adapt to how people work, not the ...