Hexabot

Hexabot is a source-available AI workflow automation platform for building conversational and operational agents you can actually run in production. Workflows are authored either visually on a canvas or as portable YAML with schema validation, then deployed across web, messaging, and custom channels with managed memory, RAG context, MCP tool bindings, and human-in-the-loop handoff baked in.

It sits between no-code chatbot builders and full code-only agent frameworks. The Fair Core License model means the codebase is inspectable and self-hostable for free, while paid tiers ($19/mo Starter through $149/mo Unlimited, plus Enterprise) unlock user seats, more workflows, and concurrent activations. That positioning makes it appealing to indie developers and agencies who want LangGraph-style flexibility without writing the orchestration scaffolding, and to regulated teams who need on-prem data residency.

The platform is LLM-agnostic, exposing action bindings to plug in different model providers, internal APIs, and MCP servers. The community tier (1 user, 3 workflows) is generous enough for serious evaluation, though the page itself is light on concrete model/integration documentation, pushing readers to the docs portal.