The hybrid agent does not use LangChain or LangGraph.
It is termed hybrid because, unlike the multi agent (planner-executor-critic) architecture which uses separate agents for planning, executing, and critiquing, this approach employs a single agent instance. In the multi agent setup, one agent is responsible for generating the plan, another for executing each step, and a third for providing feedback or critique. In contrast, the hybrid agent creates the plan and then executes each step itself, all within the same agent instance.
Other aspects, such as feedback learning and the use of a canvas, remain consistent with other agent templates.