Botpress has built conversational AI tools since 2017, starting from an open-source chatbot framework before evolving into today's hosted visual platform. That developer-tool history still shows: the flow builder for designing conversation logic gives more granular control over dialogue branching than simpler, more consumer-facing chatbot builders allow.
LLM integration now sits on top of that original flow-based engine, letting a bot handle open-ended questions with generative responses while still falling back to precisely defined flows for specific business processes, a hybrid that suits companies wanting both flexibility and predictability in customer-facing conversations. Deployment spans websites, WhatsApp, Slack, and other messaging channels from the same underlying bot.
A free tier covers smaller-scale testing, and paid plans start around $89 a month, positioning it toward businesses and teams rather than individual hobbyists. For a team that wants precise control over conversation flow logic alongside modern LLM capabilities, rather than a purely generative chatbot with less structural control, Botpress's flow-based foundation is the more deliberate choice.
