builderbot vs Hexabot
WhatsApp chatbot library and AI workflow platform compared
builderbot is a TypeScript library for reusable, provider-agnostic WhatsApp conversation flows. Hexabot is a TypeScript platform for defining and running AI workflows that connect actions, tools, memory, and conversational channels.

builderbot: Build WhatsApp Chatbots with TypeScript
BuilderBot is a TypeScript library for building automated WhatsApp conversation flows across providers. It helps developers automate replies, FAQs, and customer interactions, with triggers for extending bot behavior.

Hexabot: Build AI Workflows for Conversational Channels
Hexabot is a TypeScript platform for building and running agentic workflows, actions, and conversational channels in one runtime. It suits teams that want to connect AI tools and bots through configurable workflows rather than build a runtime from scratch.
| builderbot | Hexabot | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | MIT | — |
| Stars | 3k | 1.1k |
| Forks | 953 | 240 |
| Last analyzed | Oct 26, 2026 | Oct 10, 2026 |
Key differences
- builderbot focuses on WhatsApp chatbots and customer interactions; Hexabot covers agentic workflows across conversational channels.
- builderbot keeps conversation logic provider-agnostic; Hexabot defines workflows in YAML and uses typed runtime contracts and schema-validated actions.
- builderbot lists automated replies, triggers, and interaction tracking; Hexabot lists memory integration, MCP integration points, and project-management CLI commands.
- builderbot is an MIT-licensed library; Hexabot's metadata says NOASSERTION, while its README states FCL-1.0-ALv2, so review the license file before adopting it.
- Hexabot documents SQLite as a local option and Postgres support, and notes database and optional Docker components; builderbot's supplied README does not detail deployment or production operations.
- builderbot has 3k stars and 953 forks, compared with Hexabot's 1.3k stars and 246 forks.
Choose builderbot if you…
- need reusable automated WhatsApp flows for customer conversations.
- want conversation logic that is not tied to a specific WhatsApp provider.
- prefer a TypeScript library focused on bot behavior, replies, and interaction tracking.
Choose Hexabot if you…
- want to build YAML-defined workflows that combine actions, tools, and memory.
- need a runtime connecting AI workflows with conversational channels or MCP-compatible tools.
- want CLI project management and a data layer with SQLite locally and Postgres support.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.