Java-Action-Storage is a core component of the LightJason multi-agent framework designed to handle the end-to-end persistence of agent actions. It defines a generic ActionStorage interface with adapters for popular databases and file systems, supports asynchronous and batched writes, and manages concurrent access from multiple agents. Users can configure storage strategies, query historical action logs, and replay sequences to audit system behavior or recover agent states after failures. The module integrates via simple dependency injection, enabling rapid Adoption in Java-based AI projects.

Sinapsis provides a comprehensive suite for creating AI agents that handle text processing, data retrieval, decision support, and integrations. Using its intuitive interface, users can define conversational flows, set triggers, and link external APIs or databases. Sinapsis's orchestration engine coordinates multiple LLM calls for context-aware responses, while built-in connectors to CRM, BI tools, and messaging platforms streamline operations. It also includes version control, testing sandboxes, and real-time monitoring dashboards. Developers can extend capabilities via custom Python scripts or webhooks. With flexible deployment options—cloud, on-premises, or hybrid—and enterprise-grade security certifications, Sinapsis ensures reliable performance and compliance for mission-critical applications.