# hexabot-ai/Hexabot

Hexabot v3 is an AI workflow automation platform, combining workflows, actions, agents, and conversational channels in one runtime.

Repository: https://github.com/hexabot-ai/Hexabot
Canonical: https://ross.abutalabs.com/products/hexabot
Homepage: https://docs.hexabot.ai
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: ai, bot-framework, chatbot, agent, agents, chatgpt, claude-ai, gemini, mistral, ollama, llama, artificial-intelligence, llm, conversational-ai, deepseek, agentic, framework, ai-automation, automation, workflow
Last push: 2026-08-24T09:57:55+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 28, longevity 51
- inputs: {"age_days": 723, "days_push": 9, "days_rel": 586, "gap_med": 43, "n_releases_24m": 4}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1205, forks 243 (observed 2026-08-28T04:03:59.130681+00:00)

## What it is
Hexabot is a self-hosted, fair-core AI workflow automation platform that combines YAML-defined agentic workflows, actions, memory, RAG, and conversational channels in a single Node.js runtime. It ships with a CLI for project scaffolding, a visual workflow editor with admin UI, and extensibility via custom actions, channels, and MCP tool integrations.

## Use cases
- build a self-hosted ai chatbot for my website
- automate conversations across channels with llm agents
- create agentic workflows with yaml and tools
- add rag-powered ai automation grounded in my cms content
- connect mcp tools to ai workflow actions
- run scheduled and manual ai automations on my own server
- embed a chat widget on my site connected to ai workflows
- use claude or gemini inside workflow automation steps

## When to choose
- you want a self-hosted alternative to SaaS automation platforms with first-class AI/LLM support
- you need conversational workflows across multiple channels with an inbox and admin UI
- you want visual workflow editing plus YAML control in one tool
- you need RAG, memory, and MCP tool integration out of the box
- you want to use many LLM providers via the Vercel AI SDK

## When to avoid
- you only need a simple single-purpose chatbot widget without workflow orchestration
- you require a permissive OSI license (it uses a fair-core, non-standard license)
- you need a lightweight library to embed in an existing app rather than a full platform
- your stack is not Node.js/TypeScript based

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, workflow-automation, chatbot, rag, mcp, web-framework, cli, chat-interface
- domain: chatbots, large-language-models, self-hosted, web-development, developer-tools
- platform: self-hosted, cross-platform, cli
- tags: agentic-workflows, fair-core, vercel-ai-sdk, yaml-workflows, multi-channel, visual-workflow-editor, chat-widget, llm-providers, ai-agents, automation, retrieval-augmented-generation, nodejs, typescript, docker, web-server

## Member repositories
- hexabot-ai/Hexabot (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.130681+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:19:35.240808+00:00, confidence not recorded.
  - readme: https://github.com/hexabot-ai/Hexabot (fetched 2026-08-28T04:03:59.130681+00:00, sha 1c10294bbc47)
  - homepage: https://docs.hexabot.ai (fetched 2026-08-29T12:27:33.123806+00:00, sha 9f4523b1c270)
  - site_page: https://docs.hexabot.ai/introduction/features (fetched 2026-08-29T12:27:33.132943+00:00, sha 47a36e649c4f)
  - site_page: https://docs.hexabot.ai/quickstart/installation (fetched 2026-08-29T12:27:33.134955+00:00, sha 18f323501c53)
  - site_page: https://docs.hexabot.ai/quickstart/create-your-1st-workflow (fetched 2026-08-29T12:27:33.136945+00:00, sha 1f6f5848d974)
  - site_page: https://docs.hexabot.ai/quickstart/using-ai-coding-agents (fetched 2026-08-29T12:27:33.138743+00:00, sha 2c4f023a29f6)
  - site_page: https://docs.hexabot.ai/integrations (fetched 2026-08-29T12:27:33.141162+00:00, sha 99bf7f0bd23c)
  - site_page: https://docs.hexabot.ai/faq/how-can-i-deploy-my-hexabot-project (fetched 2026-08-29T12:27:33.143216+00:00, sha 9d91b7e16e53)
  - site_page: https://docs.hexabot.ai/faq/how-can-i-add-the-hexabot-chat-widget-to-my-website (fetched 2026-08-29T12:27:33.144874+00:00, sha d652302d78d5)
  - site_page: https://docs.hexabot.ai/faq/which-ai-llm-providers-does-hexabot-support (fetched 2026-08-29T12:27:33.146535+00:00, sha 6bd8eeb60621)
- Data as of 2026-08-30T08:39:29.467469+00:00.