Create AI agents that learn from interactions; Manage agent memory for improved context retention; Integrate agents into existing applications via REST APIs; Visualize and test agent behavior in real-time; Scale agent deployments from prototypes to production.
Backed by research from AI PhDs at UC Berkeley; Open-source contributions available on GitHub; Supports multiple programming languages including Python and Node.js.