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Hexabot vs Langfuse
Langfuse is an observability tool for LLM apps, not a chatbot builder or workflow engine like Hexabot.
HexabotOpen-source AI chatbot / agent builder.png?width=96)
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Which to pick
Pick Hexabot if you want…
- Self-hosted AI workflow automation
- The lower starting price: $19/month against $29/month
Pick Langfuse if you want…
- LLM observability & analytics
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
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- Hexabot:—
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
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.
Hexabot vs Langfuse FAQ
Is Hexabot or Langfuse free?+
Hexabot has a free plan (Community); paid plans start at $19/month (Starter). Langfuse has a free plan (Hobby); paid plans start at $29/month (Core).
Which is cheaper, Hexabot or Langfuse?+
Hexabot is cheaper to start with: Hexabot's Starter plan ($19/month) against Langfuse's Core plan ($29/month).
Is Hexabot or Langfuse open source?+
Yes, both are open source: Hexabot (hexastack/hexabot on GitHub) and Langfuse (langfuse/langfuse on GitHub).
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.