create_agent - how we build Deep Agents on the simplest harness primitive underlying all of the harness engineering, research, and API desig…

create_agent - how we build Deep Agents on the simplest harness primitive underlying all of the harness engineering, research, and API design in Deep Agents is a very simple primitive in LangChain called create_agent the entire design of deepagents comes from optionally extending this base harness primitive to support behaviors that we and our community found useful for agent engineering such as: - filesystem tools, bash - compaction + context offloading - subagents, skills, and memory support - hooks - more it has entry points for Tools, Middleware (hooks), Providers and more which means the base is very extensible (deepagents is a living example of this) some great partners & builders fully build production agents on the create_agent API and I think we could share a bunch more content on it open to suggestions! if there's interest the idea would be to show how we derived deepagents from first principles and mapping this to code builr on create_agent which is already all open source basically: 1. want to share that this has existed as a primitive for over a year and was codified in our LangChain 1.0 release last year 2. what content would people want to see around this?

Source: Harrison Chase (X) | 2026-05-01