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Developer Tools Automation LLM Docker Low-Code RAG AI Development

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Last Updated: 08-12-2026 07:45 AM (UTC)

LLemonStack

One CLI command deploys a complete AI development environment: n8n, Flowise, Supabase, Ollama, Qdrant, LiteLLM, Langfuse, Open WebUI, LightRAG, Browser-Use, Firecrawl, Crawl4AI, and more, all pre-wired with networking, credentials, and database connections. LLemonStack eliminates the hours of Docker Compose configuration that typically precede any local AI agent project. The llmn CLI initializes isolated project environments with auto-generated secure credentials, starts services in dependency order (databases first, then middleware, then apps), and displays a dashboard showing every service URL and access token. n8n brings 400+ workflow integrations, Flowise provides visual agent building, Ollama runs local LLMs like Llama and Mistral, Qdrant stores vectors at high performance, Open WebUI offers ChatGPT-style model interaction, and LiteLLM proxies requests to any provider with cost tracking. Langfuse automatically logs traces for every LiteLLM query, providing full observability. Each project maintains isolated Postgres schemas preventing data collision across parallel stacks. Firecrawl and Crawl4AI extract web content into LLM-ready formats for RAG pipelines feeding LightRAG or Qdrant. Dozzle streams live container logs for debugging. Import/export tooling migrates workflows between projects with automatic credential reconfiguration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

LLemonStack
LLemonStack
LLemonStack

Benefits

  • Single Command AI Stack Deployment
  • Initialize, configure, and launch 17+ pre-integrated AI services with the llmn CLI, auto-generating secure credentials and resolving Docker networking without manual compose file editing.
  • Unified LLM Proxy and Observability
  • LiteLLM routes all model requests through a single proxy endpoint with cost tracking, while Langfuse automatically logs every query trace for debugging agent behavior and token usage analysis.
  • Isolated Multi-Project Environments
  • Create independent stacks per project with separate Postgres schemas, dedicated credentials, and per-project configuration files, sharing database services across stacks to reduce memory consumption.
  • Pre-Configured Tool Integrations
  • n8n, Flowise, Supabase, Ollama, Qdrant, Open WebUI, LightRAG, and Browser-Use ship with internal networking, authentication tokens, and database connections already wired together.

Features

  • Dependency-Ordered Service Launch
  • Services start in tiered groups (databases, middleware, then applications), ensuring Postgres, Redis, and MinIO are ready before n8n, Flowise, or Langfuse attempt connections.
  • Auto Credential Generation
  • The init command generates unique API keys, database passwords, and authentication tokens for every service, stored in project-specific environment files with no manual secret management.
  • LLM Provider Routing
  • LiteLLM proxy supports OpenAI, Anthropic, Google, Ollama, and local providers through a single endpoint, with per-model cost budgets and automatic Langfuse trace logging.
  • Web Scraping and RAG Pipeline
  • Firecrawl and Crawl4AI extract web content into LLM-ready formats, feeding into LightRAG or Qdrant vector stores for retrieval-augmented generation workflows inside n8n.
  • Real-Time Container Monitoring
  • Dozzle provides a web dashboard streaming live Docker container logs for all stack services, with search, filtering, and multi-container views for debugging.