Build LLM-native conversational AI agents with the world's most popular visual workflow editor.
Botpress is a leading LLM-native conversational AI platform designed for developers and enterprises to build, deploy, and scale sophisticated AI agents. Its architecture transitioned in 2023-2024 from a legacy Node.js framework to a cloud-first, generative AI engine that prioritizes RAG (Retrieval-Augmented Generation) and autonomous task execution. By 2026, Botpress has positioned itself as the 'operating system' for AI agents, featuring a highly intuitive visual flow editor coupled with a robust developer environment. The platform allows for seamless integration of multiple LLMs (GPT-4o, Claude 3.5, Gemini 1.5) and provides specialized tools like 'AI Tasks' for structured data extraction and 'Knowledge Bases' for instant ingestion of complex documentation. Its technical edge lies in its event-driven architecture and internal database (Tables), which allow agents to maintain long-term memory and perform complex CRUD operations without external middleware. Market-wise, Botpress bridges the gap between simple 'wrapper' bots and heavy-duty custom-coded solutions, offering a scalable infrastructure that handles concurrency, security, and multi-channel deployment out of the box.
Vector-based storage that automatically chunks and indexes documents for semantic search.
The world's leading platform for building and deploying massive-scale conversational AI using AIML and LLM hybrid architectures.
Build, connect, test, and deploy enterprise-grade intelligent conversational agents across multiple channels.
The Enterprise-Grade Agentic AI Platform for Regulated Industries.
The Enterprise-Grade Orchestration Platform for Intelligent Digital Workers.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
LLM-powered blocks that can reason, summarize, or transform data based on custom prompts.
A built-in relational database for storing persistent data across conversations.
Ability to write custom JavaScript/TypeScript code within the flow logic.
Dynamic user profiling that updates variables based on sentiment and historical interaction.
The ability to switch between OpenAI, Anthropic, and proprietary models within a single flow.
Real-time telemetry on message volume, user retention, and node-level drop-off rates.
High volume of repetitive support tickets overwhelming human agents.
Registry Updated:2/7/2026
Manual screening of leads is slow and inefficient.
New employees struggle to find policy documents in disparate systems.