AgentX provides an extensible architecture for building AI-driven agents that leverage large language models, tool and API integrations, and memory modules to perform complex tasks autonomously. It features a plugin system for custom tools, support for vector-based retrieval, chain-of-thought reasoning, and detailed execution logs. Users define agents through flexible configuration files or code, specifying tools, memory backends like Chroma DB, and reasoning pipelines. AgentX manages context across sessions, enables retrieval-augmented generation, and facilitates multiturn conversations. Its modular components allow developers to orchestrate workflows, customize agent behaviors, and integrate external services for automation, research assistance, customer support, and data analysis.

Ducky empowers teams to build, train, and deploy custom AI agents without writing code. You can ingest documents, spreadsheets, or CRM records as knowledge sources and configure intent recognition, entity extraction, and multi-step workflows via a drag-and-drop interface. Ducky supports integration with REST APIs, databases, and webhooks, and offers multi-channel deployment through web chat widgets, Slack, and Chrome extension. Real-time analytics give insights into conversation volume, user satisfaction, and agent performance. Role-based access controls and versioning ensure enterprise-grade governance while maintaining rapid iteration cycles.