Workflows
Design structured agentic workflows that define how your automation should behave from start to finish. Combine AI-powered steps with rules, conditions, actions, and human review.
Self-hosted AI agent platform
Build AI agents that talk, act, and remember
Hexabot helps teams build agentic workflows that combine conversations, business logic, memory, tools, and human review in one self-hosted platform.
Design AI agents for customer support, lead qualification, internal operations, service automation, and recurring workflows — while keeping control over your data, deployment, costs, and extensions.
Self-hosted. Source-available. Developer-friendly. Built for real operational workflows.
AI agents need more than prompts
Most AI agent demos look impressive until they meet real operations.
Customer requests are messy. Business rules are specific. Some steps need reasoning, others need deterministic execution. Some cases should be automated, others should be reviewed by a human. And every team needs control over data, tools, costs, and deployment.
Hexabot gives you the structure to move from AI experiments to production-ready automation.
With Hexabot, your agents can understand messages, follow workflows, call actions, use memory, connect to channels, and escalate to humans when needed.
One platform for agentic workflow automation
Hexabot is not just a chatbot builder. It is an AI workflow automation platform for building agents that interact with users, execute tasks, and connect to real business systems.
Use Hexabot to define what should happen, when AI should reason, when code should execute, and when a human should step in.
Your workflows can be conversational, manual, scheduled, or triggered by external systems.
Use AI where it adds value. Use structured actions where reliability matters.
Core capabilities
Everything your AI agents need to operate
Workflows, actions, memory, channels, tools, and human handoff — all in one self-hosted platform.
Actions
Create reusable actions that connect your agent to real operations: call an API, update a CRM, create a ticket, search a catalog, check an order, send a notification, or trigger an internal process.
Memory
Give your agents access to context when it matters. Use memory to support personalized interactions, long-running workflows, previous decisions, customer status, and domain-specific information.
Channels
Deploy your AI agents where conversations happen. Connect workflows to your website, messaging platforms, social channels, and custom entry points from one runtime.
Tools and MCP-ready integrations
Build agents that can connect to external capabilities and fit into your broader AI automation stack. Hexabot is designed for teams that want extensibility, interoperability, and control.
Human handoff
Not every case should be automated. Let agents handle repetitive work and route complex, sensitive, or high-value conversations to human teams when judgment is required.
Use cases
What can you build with Hexabot?
From customer support to internal operations, build AI agents that automate real business workflows.
Customer support agents
Automate first-line support, answer common questions, collect context, check customer records, create tickets, and escalate complex cases to human agents.
Lead qualification agents
Capture inbound leads, ask qualifying questions, enrich profiles, update your CRM, notify your sales team, and schedule follow-ups.
Internal operations assistants
Help teams search information, trigger internal workflows, collect structured data, generate summaries, and automate repetitive operational tasks.
Knowledge base agents
Connect AI responses to curated knowledge, documentation, FAQs, and internal content so users get faster answers with more context.
Service workflow automation
Build workflows for order status, appointment requests, onboarding, issue reporting, case triage, subscription support, and recurring business processes.
Agency and client automation
Create reusable AI automation templates for different clients, industries, and service channels while keeping each deployment customizable.
Differentiation
Built for control, not black-box automation
AI automation should not force you to choose between flexibility and reliability. Hexabot gives technical teams a clear architecture for building AI agents that are powerful enough to reason, structured enough to maintain, and controlled enough to run in production.
Self-hosted by design
Run Hexabot on your own infrastructure and keep customer data, workflow logic, memory, and operational context under your control.
Developer-friendly workflows
Define workflows in a way that fits modern engineering practices. Review, version, document, reuse, and evolve automation logic as part of your development lifecycle.
Extensible architecture
Build custom actions, channels, plugins, and integrations so your AI agents can work with the tools and systems your business already uses.
Predictable operations
Avoid treating the LLM as the whole system. Combine AI reasoning with deterministic actions, business rules, and human oversight.
No message-based billing
Build operational workflows without turning every conversation into a billing surprise. Hexabot pricing is designed around platform usage, not message volume.
Technical section
Designed for builders, useful for teams
Hexabot gives developers the flexibility to build serious AI automation systems while giving operations teams a practical interface to manage workflows and conversations.
For developers
Build custom actions, connect APIs, extend channels, manage workflow logic, and integrate Hexabot into your existing stack.
For support and operations teams
Monitor conversations, review interactions, manage handoff, update content, and improve automation without depending on developers for every change.
For agencies
Package repeatable AI workflow solutions, customize them per client, and deploy self-hosted automation with predictable control.
Architecture
Combine conversations, actions, memory, and human control
A real AI agent platform needs more than a chat interface. Hexabot connects the key parts of operational AI.
Conversation
Agents can interact with users through channels such as website widgets, messaging apps, social platforms, or custom entry points.
Reasoning
AI-powered steps can understand user intent, generate responses, summarize context, and support decision-making.
Action
Structured actions execute reliable business operations such as API calls, CRM updates, ticket creation, notifications, and data lookups.
Memory
Agents can use context from previous interactions, preferences, customer status, or workflow-specific data.
Control
Teams decide where automation runs, when AI is used, when code takes over, and when humans should intervene.
Comparison
Why choose Hexabot as your AI agent platform?
See how Hexabot approaches common needs for building and deploying AI agents.
| Need | Hexabot approach |
|---|---|
| Build agents across channels | Connect workflows to websites, messaging platforms, social channels, and custom entry points |
| Keep control over data | Run Hexabot on your own infrastructure |
| Avoid black-box agents | Combine AI reasoning with workflows, actions, rules, and human review |
| Extend beyond default features | Build custom actions, plugins, channels, and integrations |
| Support technical teams | Use developer-friendly workflow definitions and reusable components |
| Support operations teams | Manage conversations, handoff, content, and workflows from one platform |
| Control costs | Avoid message-based billing and design automation around operational usage |
Fair-Core / Source-Available
Source-available, self-hosted, and built for long-term control
Hexabot is designed for teams that want to build with transparency and control.
You can inspect the platform, self-host it, extend it, and adapt it to your operational needs. Hexabot's fair-core model gives builders access to the source while supporting a sustainable product and community.
Start with the Community plan, then scale when your workflows, users, and deployment needs grow.
Frequently asked questions
AI Agent Platform FAQ
Common questions about Hexabot's AI agent platform capabilities
What is an AI agent platform?
An AI agent platform helps teams build, deploy, and manage AI-powered agents that can understand requests, follow workflows, use tools, remember context, and take action across business systems.
What makes Hexabot different from a chatbot builder?
Hexabot started from conversational automation, but Hexabot v3 expands the model into agentic workflow automation. Instead of only building chat flows, teams can create workflows that combine conversations, actions, memory, tools, AI reasoning, and human control.
Is Hexabot self-hosted?
Yes. Hexabot is designed to be self-hosted, giving teams more control over deployment, data, workflow logic, memory, and integrations.
Can Hexabot connect to external tools?
Yes. Hexabot supports extensibility through actions, plugins, channels, and integrations. Teams can connect workflows to APIs, CRMs, ticketing systems, internal services, notifications, and other business tools.
Does every step need to be handled by an LLM?
No. Hexabot is designed around the idea that AI should be used where it adds value, while deterministic operations should be handled by structured actions. This makes workflows more predictable, maintainable, and easier to control.
Can Hexabot agents work across multiple channels?
Yes. Hexabot workflows can be connected to channels such as websites, messaging platforms, social channels, and custom entry points, allowing teams to automate user journeys from one runtime.
Does Hexabot support human handoff?
Yes. Hexabot supports live chat and agent takeover, so human agents can step in when a conversation is complex, sensitive, or requires judgment.
Who is Hexabot for?
Hexabot is built for developers, agencies, startups, and teams that want to create self-hosted AI automation systems with more control than typical no-code agent tools.
Is Hexabot open source?
Hexabot is source-available under a fair-core license. This gives teams access to the source while protecting the sustainability of the product and its ecosystem.
Can I use Hexabot for customer support automation?
Yes. Customer support is one of the strongest use cases for Hexabot. You can build agents that answer questions, collect context, check systems, create tickets, route conversations, and escalate to human support when needed.
Turn AI agents into real service workflows
Build agents that do more than answer questions.
With Hexabot, your AI agents can talk to users, follow workflows, call tools, remember context, trigger actions, and involve humans when needed.
Start building self-hosted AI automation with Hexabot.