Ross ROSS = Recommend OSS · open-source software intelligence for agents

hexabot-ai/Hexabot

Hexabot v3 is an AI workflow automation platform, combining workflows, actions, agents, and conversational channels in one runtime. observed · 2026-08-28

github.com/hexabot-ai/Hexabot · homepage · TypeScript · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 99
  • Release rhythm 28
  • Longevity 51

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 43
  • age_days: 723
  • days_rel: 586
  • days_push: 9
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

1205 stars · 243 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

framework · maturity active

agent-framework workflow-automation chatbot rag mcp web-framework cli chat-interface chatbots large-language-models self-hosted web-development developer-tools self-hosted cross-platform cli 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

10 sources

Member repositories

RepositoryRoleHealth v2
hexabot-ai/Hexabotmain65

For agents

markdown · JSON · MCP: product_card(name="hexabot-ai/Hexabot")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem