The Hallway Track
11 tracked signals on agent-orchestration.
Databricks CTO launches Omnigen, an open-source meta-harness orchestrating multiple AI agents with shared governance.
“we built this layer that kind of wraps existing agents and lets you easily work with many of them, whether you're composing many agents to solve the same task, or you're trying to control them more centrally”
Microsoft makes Routines in Foundry Agent Service generally available for scheduled and event-driven agents.
“Routines bring managed agent execution into Foundry Agent Service.”
Skydio uses agent orchestration to let one operator control large fleets of autonomous drones simultaneously.
“Thousands of these drones are now deployed across the country—at energy companies, public safety agencies, and construction firms.”
Databricks released Omnigent, an open-source meta-harness layer to combine, control, and share AI agents.
“we think that we need a new layer above the harness level to manage and build with agents”
Databricks introduces Omnigent, a meta-harness to combine, control, and share AI agents.
Tessl proposes 'harness engineering' as a new discipline for building agent-powered software factories
“a software factory is any agent-based system where all of the end product you build and deliver to users is created by agents”
DeepLearning.AI and JetBrains launch course on flexible, local AI coding workflows
“This course isn't about finding the one right setup. It's about learning how to think about your setup so you can keep making good choices as the tools change.”
Databricks Lakebase Postgres simplifies AI agent orchestration for enterprise workflows
Conductor's CEO orchestrates multiple parallel Claude coding agents by voice and no longer writes code himself.
“Very occasionally I will like edit Tailwind classes”
NVIDIA announces Nemotron open model family for agent orchestration on Azure AI Foundry with Microsoft.
“DeepSeek published open models that were able to reason. And in terms of open models, this was a breakthrough.”
UiPath positions Maestro as the governed execution layer that makes AI agents production-ready on Azure.
“UiPath Maestro provides the execution layer that makes your agent production ready.”