emcie-co/parlant

Parlant is an agentic harness designed to streamline the development and maintenance of enterprise-grade B2C and B2B AI interactions. It addresses the challenges of conversational context engineering by providing optimized control over LLM behavior. Unlike traditional system prompts or routed graphs that fail at scale, Parlant uses real-time context narrowing based on defined rules, knowledge, and tools. Its core design principles focus on maximizing conversational control, preventing unwanted behaviors through proactive constraint application, and enabling rapid iteration from feedback to implementation, ensuring consistent, compliant, and on-brand customer experiences.