Hexabot is an open-source builder for AI chatbots and support agents. Teams design conversations in a visual editor, ground answers in their own documents through retrieval-augmented generation, and publish the same assistant across chat apps, social channels, and their own site. It serves support and product teams that want a self-hosted, channel-rich assistant platform instead of a closed chatbot subscription.[1][2]
Quick verdict
Support teams that need a self-hosted, multi-channel assistant grounded in their own documents benefit most from Hexabot. Its visual flow editor, knowledge-base ingestion with retrieval-augmented generation, and named connectors for WhatsApp, Messenger, and webchat take a team from a first flow to a bot answering on real channels. Teams without anyone comfortable running Docker infrastructure or curating training data and document collections will find operating it demanding. If you have technical capacity and want data control through self-hosting, choose Hexabot; if you need a fully managed no-code tool your support staff runs alone, consider a hosted builder such as Botpress Cloud instead.[1][2][3]
Key features
Visual flow editor with drag-and-drop blocks Editors assemble conversation logic from text, quick replies, buttons, carousels, location requests, and plugin blocks on a canvas, so routine flows ship without writing code for each step.[1][2]
Knowledge base with document ingestion and RAG Teams upload documents that the platform processes into a searchable base, letting assistants answer from team content instead of model memory alone.[1][2]
NLP and NLU training datasets Built-in language-understanding tooling with entities and curated training samples keeps intent matching specific to the team's domain rather than generic.[1]
LLM auto-assist blocks Flow steps can call large language models for generation, translation, or fallback answers, mixing deterministic flows with generative responses where appropriate.[1][2]
Broad channel connectors Documented channels include the webchat widget, web and mobile channels, Messenger, Instagram, WhatsApp, Telegram, Telegram Business, and X, so one assistant serves many surfaces.[1][2]
Contact management with live-chat inbox Subscriber profiles, conversation history, broadcasts, and team-collaboration handover move edge cases from the bot to a human agent without losing context.[1][2]
API-first design with REST access All platform features are reachable through a documented REST API, so developers can drive or extend Hexabot from their own systems.[1]
Roles, permissions, and translations Granular user roles separate editor and operator duties, while built-in translation support helps teams run multilingual assistants from one project.[1][2]
Who will love it
Self-hosting teams Support teams that must self-host their assistant stack: Docker-based installation with on-premises deployment keeps conversation data and documents inside team-controlled infrastructure.[1][2]
Multi-channel teams Teams serving customers across many chat surfaces: named connectors for WhatsApp, Messenger, Instagram, Telegram, X, and webchat let one assistant follow users between channels.[1]
Document-grounded technical teams Technical teams grounding bots in their own documents: the knowledge-base plus retrieval pipeline, NLP datasets, and REST API reward teams that curate content and wire integrations.[1]
Who should avoid it
No infrastructure capacity Teams with no infrastructure capacity: self-hosting assumes Docker operations, and the managed Hexabot Cloud alternative is a separate offering to evaluate rather than a default.[1]
Pure no-code expectation Teams wanting a pure no-code tool for non-technical staff: the visual editor covers flows, but NLP curation, knowledge-base hygiene, and channel configuration still need technical ownership.[1]
Needs fixed pricing now Teams needing published per-month pricing today: no public per-seat or per-workspace monthly figure was found in the bounded pass, so budget approval rests on contacting the vendor about the paid Enterprise Edition.[1]
Verdict and compatibility
Conditional recommendation If you have technical capacity and data-control requirements that point to self-hosting, choose Hexabot. Its open repository, document-grounded answers, and channel breadth fit teams that operate their own assistant. If you need a fully managed builder your support staff runs without infrastructure work, choose a hosted alternative such as Botpress.[1][2]
License qualifier The source-available Fair Core License keeps the code inspectable and self-hostable but is not an OSI-approved open-source license, and the discussed move to AGPLv3 would add copyleft obligations worth legal review.[1]
Questions worth asking
What is the best Hexabot alternative for non-technical users?
For non-technical teams, a hosted builder with managed infrastructure is the safer conditional choice: Hexabot's documented path assumes someone operates Docker hosting and curates NLP data and documents.[1]
Is Hexabot really no-code?
Partly. The flow editor, knowledge-base uploads, and channel setup are visual, but NLP training curation, document hygiene, API or plugin wiring for custom logic, and operating the self-hosted installation still need technical ownership.[1]
How much does Hexabot cost per month?
No public per-month figure was found in the sources inspected in October 2026. The Community Edition source is available under the Fair Core License for self-hosting at your own infrastructure cost, and an Enterprise Edition is the paid tier; confirm current Enterprise pricing with the vendor before budgeting.[1][2]
Can you self-host Hexabot?
Yes. The documentation describes self-hosting with a Docker requirement, alongside Hexabot Cloud managed hosting and an on-premises option, with a Community versus Enterprise edition comparison governing advanced needs.[1]
Sources and editorial review
Source research. Reviewed on October 11, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- Hexabot homepage: AI Chatbot Builder
official · Observed October 11, 2026
Official Hexabot homepage: AI Chatbot Builder for GenAI, RAG and NLU chatbots; open-source and self-hostable; multi-channel and multilingual; visual drag-and-drop editor; channels include Messenger, Instagram, X, WhatsApp, Telegram, Telegram Business, web, mobile, webchat widget; contact management, inbox, team collaboration; knowledge base with document upload and RAG.
- Hexastack/Hexabot GitHub repository
official · Observed October 11, 2026
Official Hexastack/Hexabot GitHub repository: AI chatbot/agent builder; v2.6.7 latest with 2.5.x and 2.4.x maintenance lines; TypeScript, NestJS, Next.js, React, Angular, MongoDB, Redis, Docker; license FCL-1.0-ALv2; discussion 3507 on planned AGPLv3 move; documented channels, NLP/NLU, LLM auto-assist, and developer extension points.
- Hexabot official documentation
official · Observed October 11, 2026
Official Hexabot documentation: API-first design with REST API; guides for visual editor, NLP datasets, knowledge-base RAG ingestion, subscribers, messaging, broadcasts, roles, translations, channels; self-hosting installation with Docker requirement; on-premises or Hexabot Cloud deployment; Community versus Enterprise editions with Enterprise as the paid offering.
Compared with these products
No explicit proprietary baseline is recorded.