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Hexabot vs Pipelex
Pipelex offers a declarative language for repeatable AI workflows but lacks the built-in multi-channel chatbot runtime Hexabot provides.
HexabotOpen-source AI chatbot / agent builder
PipelexDeclarative language for repeatable AI workflows (MIT)Side by side
- What it is
- Hexabot:Hexabot is an open-source, self-hosted platform for building multi-channel AI chatbots and workflow automation.
- Pipelex:Pipelex is a declarative language and Python runtime for building repeatable, agent-first AI workflows that run on any model or provider.
- Best for
- Hexabot:Self-hosted AI workflow automation
- Pipelex:Declarative AI workflow orchestration
- Who it’s for
- Hexabot:Developers and teams building custom AI assistants and automation pipelines.
- Pipelex:Developers building LLM pipelines, AI agents, and chatbot tools.
- Pricing
- Hexabot:Freemium
- Pipelex:Open source
- Plans
- Hexabot:Community $0/month · Starter $19/month per month · Pro $59/month per month · Unlimited $149/month per month
- Pipelex:—
- Open source
- Hexabot:Yes, 1,265 GitHub stars
- Pipelex:Yes, 0 GitHub stars
- Works with
- Hexabot:—
- Pipelex:Claude Code, Codex, FastAPI, VS Code, n8n, TypeScript, Python, Docker
- DevHunt upvotes
- Hexabot:2
- Pipelex:40
- Launched on DevHunt
- Hexabot:Jul 2025
- Pipelex:Oct 2025
Hexabot features
- Multi-Channel Support. Deploy chatbots across web, mobile, social media and custom entry points from a single runtime.
- Visual Flow Designer. Create and edit conversation flows with drag-and-drop UI, supporting text, quick replies, carousels and more.
- Plugin & Extension System. Add custom actions, integrations and text-to-action capabilities via a modular plugin architecture.
- LLM / RAG / NLU Management. Connect large language models, retrieval-augmented generation and intent detection with managed datasets.
- Memory & Context. Persist conversation state, use managed memory and retrieval-augmented context in workflows.
- Human Handoff & Inbox. Monitor live chats, hand over to human agents and add conditional review points.
Pipelex features
- Declarative MTHDS language. Write typed AI methods in a Dockerfile/SQL-like syntax that defines steps, inputs, and outputs.
- Agent plugins. Claude Code and Codex plugins let agents design, run, and save methods directly from the IDE.
- Multi-environment execution. Run methods as a chatbot MCP, a webapp, or via API/CLI on any infrastructure.
- Open standard runtime. Pipelex runtime executes methods locally or in Docker, handling model routing and structured output.
- SDKs and integrations. TypeScript (@pipelex/sdk) and Python (pipelex-sdk) clients generate typed calls to the Pipelex API.
- VS Code extension. Provides syntax highlighting, linting, and formatting for .mthds files.
Based on each tool's website and DevHunt data. Details may change; check the official sites.