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Hexabot vs Langfuse

Langfuse is an observability tool for LLM apps, not a chatbot builder or workflow engine like Hexabot.

Side by side

What it is
Hexabot:Hexabot is an open-source, self-hosted platform for building multi-channel AI chatbots and workflow automation.
Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
Best for
Hexabot:Self-hosted AI workflow automation
Langfuse:LLM observability & analytics
Who it’s for
Hexabot:Developers and teams building custom AI assistants and automation pipelines.
Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
Pricing
Hexabot:Freemium
Langfuse:Freemium
Plans
Hexabot:Community $0/month · Starter $19/month per month · Pro $59/month per month · Unlimited $149/month per month
Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
Open source
Hexabot:Yes, 1,265 GitHub stars
Langfuse:Yes, 35,097 GitHub stars
Works with
Hexabot:—
Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
DevHunt upvotes
Hexabot:2
Langfuse:89
Launched on DevHunt
Hexabot:Jul 2025
Langfuse:Jan 2023

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.

Langfuse features

  • Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
  • Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
  • Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
  • Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
  • Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
  • Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
  • Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
  • Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.

Based on each tool's website and DevHunt data. Details may change; check the official sites.