Local AI Packaged is a Docker Compose template that bundles multiple self-hosted AI and low-code development tools into a single deployable package.
The tool solves the problem of coordinating disparate AI infrastructure components by pre-configuring Ollama for local language models, Open WebUI as a chat interface, n8n for workflow automation, Supabase for database and vector storage, and additional services like Flowise, Neo4j, Qdrant, Langfuse, and SearXNG. Rather than assembling these separately, the template handles networking, environment configuration, and integration between components through a single Docker Compose setup. Pre-built RAG agent workflows are included to demonstrate common patterns.
This approach suits developers building self-hosted AI applications who want a complete stack without manual orchestration. It works well for teams exploring local LLM deployment, building AI agents with n8n, or prototyping RAG systems. The package includes both Supabase and Qdrant for vector storage, acknowledging that Qdrant offers better performance for certain use cases while Supabase provides broader database functionality. The template is positioned as an extension of the original n8n self-hosted AI starter kit, with additions focused on practical agent development workflows.
The project maintains an active Kanban board tracking feature implementation and bug fixes. Environment variable requirements have evolved with upstream component updates, particularly around Supabase configuration, indicating ongoing maintenance to keep dependencies current.
