OpenAI Swarm is a versatile orchestration library enabling parallel execution and consensus-driven decision-making across multiple AI agents. It broadcasts tasks to independent model instances, aggregates their outputs, and applies configurable voting or ranking schemes to select the highest-scoring result. Developers can fine-tune agent counts, voting thresholds, and model combinations to enhance reliability, mitigate individual bias, and refine solution quality. Swarm supports chaining responses, iterative feedback loops, and detailed reasoning logs for auditability, elevating performance on summarization, classification, code generation, and complex reasoning tasks through collective intelligence.

AgentSpeak is an open-source Java-based implementation of the AgentSpeak(L) programming language, designed to facilitate the creation and management of BDI (Belief-Desire-Intention) autonomous agents. It features a runtime environment that parses AgentSpeak(L) code, maintains agents’ belief bases, triggers events, and selects and executes plans based on current beliefs and goals. The interpreter supports concurrent agent execution, dynamic plan updates, and customizable semantics. With a modular architecture, programmers can extend core components such as plan selection and belief revision. AgentSpeak enables developers in academia and industry to prototype, simulate, and deploy intelligent agents in simulations, IoT systems, and multi-agent scenarios.