The Hallway Track
9 tracked signals on managed-agents.
Google launched Managed Agents in the Gemini API: one API call spins up an autonomous agent in a sandboxed Linux environment.
“you make a single API call and you get an autonomous agent that can work on behalf of you and solve like problems creatively.”
Google DeepMind launches Interactions API and Managed Agents offering for agentic applications
“Many people have reduced this to simply a language model running in a loop. And in most cases this is true.”
Google launches Managed Agents in Gemini API and AI Studio, running customizable agents in Google-hosted secure Linux sandboxes.
“those agents are running in a secure Linux sandbox that's hosted by Google and those agents can reason, they can write code and write code to the files on the system and manage the files, they can also browse the web”
LangChain's Managed Deep Agents enables Slack-to-GitHub PR agents in minimal code
“Having an agent called from Slack is a pretty substantial request, but with Managed Deep Agents channels, this is done with just a couple lines of code.”
LangChain launches Managed Deep Agents to handle production agent infrastructure at scale.
“this will make it far more easy than before to build powerful agents and actually run them at scale”
Google launches managed agents in Gemini API and AI Studio, running customizable agents in a Google-hosted secure Linux sandbox.
“This is a new feature that easily allow you to build customized agents running in a secure Linux sandbox that's hosted by Google”
LangChain releases Managed Deep Agents with a CLI scaffolding tool for structured agent projects
LangChain Managed Deep Agents enables scheduled autonomous agents with Slack and custom tool integrations
“This agent honestly saved me a ton of time. I use it every day to stay on top of the conversation.”
LangChain's Managed Deep Agents lets you edit agent instructions without redeploying code