LLM Application Developer Stack
Build, test, and deploy production LLM apps, with observability, vector retrieval, visual flow building, and evaluation baked in.
Our Take
This is an engineering stack, not a no-code one, aimed at a developer actually shipping an LLM application to production rather than prototyping a chatbot. Dify and Flowise both do visual flow-building for LLM apps, the real differentiator is Dify's stronger production deployment tooling versus Flowise's more flexible node ecosystem, pick based on whether you're closer to shipping or still experimenting. Langfuse is the piece most teams skip until something breaks in production and they wish they had observability from day one, add it before that happens, not after.
True Cost & Exit
What this stack really costs to run, and how you'd leave it.
Monthly cost
from $168/mo (all core tiers)
Lean alternative
Flowise, self-hosted, is free and covers visual flow-building for experimentation; move to Dify's paid Professional tier only once you're closer to a real production deployment and need its stronger deployment tooling.
Exit path
Your application data and vector embeddings live in Supabase's Postgres database, which supports a standard pg_dump export at any tier; your flow definitions live in Dify or Flowise's own project files, and Flowise's open-source, self-hosted nature means you always hold that data directly regardless of the vendor.
Tools in This Stack
Build and orchestrate LLM applications and agentic workflows with visual workflow design, RAG, and knowledge-base management, open source with 139,000+ GitHub stars.
Get a Postgres database, auth, storage, and edge functions in one backend, with an AI Assistant and MCP integrations, so small teams ship apps without managing infrastructure.
Trace and score LLM application runs so teams can debug agent behavior and track cost per user or session.
The model serious writers and researchers reach for when accuracy matters more than speed. Opus 5 is now the default, with voice mode expanded across every tier.
Assemble chatbots and multi-agent workflows on a drag-and-drop canvas without writing backend code. Acquired by Workday in August 2025 and being integrated into their platform.