Hexabot

About Hexabot

Hexabot is a self-hostable AI workflow automation platform for building AI agents and business automation workflows that connect conversations to actions, tools, and back-office systems. Workflows can be triggered from chat, forms, schedules, or events and modeled visually or as portable YAML with typed contracts and schema validation. The platform includes managed memory, retrieval-augmented generation, and MCP integration points, as well as conditionals, loops, segmentation, and live handoff for cases requiring human review.

The product connects to messaging platforms, websites, social channels, and custom entry points, allowing multilingual assistants to run across multiple channels from a single runtime, with role-based access, analytics, and team controls. It is built around a CLI for scaffolding projects and running a local development stack, and its source code is available under the Fair Core License, Version 1.0 (ALv2 Future License), allowing self-hosting and extension.

It is aimed at freelancers, indie developers, teams standardizing production AI workflows, agencies and implementation partners, and enterprises with governance and compliance requirements. Pricing is structured around self-hosted license keys with tiers based on number of users, workflows, and license activations: a free Community plan (1 user, 10 workflows), Solo Builder Starter at $19/month (3 users, 25 workflows, 3 activations), Pro at $59/month (10 users, 150 workflows, 10 activations), Scale at $149/month (25 users, unlimited workflows, 25 activations), and a custom-quote Enterprise tier. Projects and integration connections are not capped by plan, and message volume is not used as a billing meter.

Key features

• Build AI workflows from chat, forms, schedules, or events that call models, tools, APIs, and back-office systems
• Design flows visually or as portable YAML with typed contracts and schema validation
• Connect reusable actions, LLM calls, and external systems via input/output/settings contracts
• Managed memory, retrieval-augmented generation, and MCP integration points for workflows
• Human-in-the-loop review via conditionals, loops, segmentation, inbox workflows, and live handoff
• Run multilingual assistants across web, messaging, social, and custom channels

Frequently asked questions