waggle-dance
This project optimizes goal achievement using an agent-based system, with a strong emphasis on concurrency and explainability. A Planner Agent constructs execution graphs, while Execution Agents carry out tasks, all under the precision assurance of Criticism Agents. Drawing inspiration from Auto-GPT and gpt-researcher, it prioritizes speed, accuracy, and user-friendliness for JavaScript developers. By utilizing tRPC and Next.js, the project implements APIs that enable efficient task orchestration and facilitates adaptive interactions. This dynamic and experimental initiative encourages innovation in goal-solving strategies, featuring long-term memory and human-in-the-loop functionalities.
