coleam00

    coleam00/local-ai-packaged

    Run all your local AI together in one package - Ollama, Supabase, n8n, Open WebUI, and more!

    backend
    Python
    Apache-2.0
    3.8K stars
    1.3K forks
    3.8K GitHub watchers
    Updated Oct 29, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 6 contributors on GitHub.

    Gained 28% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a self-hosted, docker-compose based AI package integrating local LLMs, databases, and low-code workflow automation tools.
    • Combines multiple AI and data services like Ollama, Supabase, n8n, and Open WebUI into a single, easy-to-deploy local environment.
    • Use for quickly bootstrapping a local AI development environment with integrated LLMs and vector databases for experimentation.
    • Use for building and running custom AI agent workflows with low-code automation using n8n and Flowise.
    • Use for deploying a privacy-focused, self-hosted AI stack with secure access and GPU support on local or cloud servers.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

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    From the README

    Self-hosted AI Package is an open, docker compose template that quickly bootstraps a fully featured Local AI and Low Code development environment including Ollama for your local LLMs, Open WebUI for an interface to chat with your N8N agents, and Supabase for your database, vector store, and authentication.

    This is Cole's version with a couple of improvements and the addition of Supabase, Open WebUI, Flowise, Neo4j, Langfuse, SearXNG, and Caddy! Also, the local RAG AI Agent workflows from the video will be automatically in your n8n instance if you use this setup instead of the base one provided by n8n!

    IMPORANT: Supabase has updated a couple environment variables so you may have to add some new default values in your .env that I have in my .env.example if you have had this project up and running already and are just pulling new changes. Specifically, you need to add "POOLER_DB_POOL_SIZE=5" to your .env. This is required if you have had the package running before June 14th.

    Curated by https://github.com/n8n-io and https://github.com/coleam00, it combines the self-hosted n8n platform with a curated list of compatible AI products and components to quickly get started with building self-hosted AI workflows.

    ✅ Self-hosted n8n - Low-code platform with over 400 integrations and advanced AI components

    ✅ Supabase - Open source database as a service - most widely used database for AI agents

    ✅ Ollama - Cross-platform LLM platform to install and run the latest local LLMs

    Excerpt from the coleam00/local-ai-packaged README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.3K-18

    Open issues

    61+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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