Overview
Learn how Hexabot helps teams build, run, and monitor AI-powered agentic workflows across channels with visual and YAML tools.
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Learn how Hexabot helps teams build, run, and monitor AI-powered agentic workflows across channels with visual and YAML tools.
Hexabot is an open, self-hosted AI workflow automation platform. Build, run, and monitor agentic workflows across channels.
Teams use Hexabot to automate conversations, operational tasks, and recurring jobs. Start with a simple workflow. Then add actions, bindings, memory, channels, and AI capabilities.
Hexabot uses a workflow-first approach to AI automation.
Define each automation's trigger, execution steps, and outcome. Use Hexabot for AI assistants, customer support automation, internal tools, and background jobs.
Hexabot supports three AI workflow types:
Conversational workflows — for AI assistants, support flows, and guided interactions.
Manual workflows — for tasks started on demand by a user or operator.
Scheduled workflows — for recurring jobs, checks, and background automations.
Hexabot combines workflow design, execution, and operations in one platform.
Workflows — define automation logic visually or in YAML.
Actions — run messaging, data processing, and service calls.
Bindings — reuse shared capabilities across workflows.
Memory — retain context across workflow runs and interactions.
Channels — run workflows where users already interact.
Workflow runs — inspect executions, debug issues, and improve reliability.
Hexabot can ground AI workflows in CMS content through a configurable RAG helper. Use the built-in database full-text helper, install a vector helper for SQLite or PostgreSQL, or develop a custom helper for another retrieval system.
Hexabot keeps AI workflow automation accessible for operators and flexible for developers.
Visual editing with YAML support — use the editor for speed and YAML for precision.
Modern developer workflow — work with the CLI and shared packages in one monorepo.
Flexible data layer — start with SQLite and scale with Postgres.
Schema-driven configuration — use typed settings and validation across the platform.
Open and self-hosted — retain control of your infrastructure and data.
One automation platform — design, run, and monitor workflows in one place.
Flexible execution — support conversational, manual, and scheduled workflows.
Extensible workflows — add actions, channels, helpers, and integrations as needs grow.
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