Ross ROSS = Recommend OSS · open-source software intelligence for agents

coleam00/local-ai-packaged resource

Run all your local AI together in one package - Ollama, Supabase, n8n, Open WebUI, and more! observed · 2026-08-28

github.com/coleam00/local-ai-packaged · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 84
  • Release rhythm 35
  • Longevity 40

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 563
  • days_rel: n/a
  • days_push: 100
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3763 stars · 1360 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Docker Compose template that bootstraps a complete self-hosted local AI stack, bundling Ollama, n8n, Supabase, Open WebUI, Flowise, Neo4j, Langfuse, SearXNG, and Caddy. It includes pre-built RAG AI agent workflows for n8n so users can quickly run local LLMs and low-code AI agents entirely on their own hardware.

Use cases

  • run local LLMs with Ollama on my own machine
  • self-host an AI agent stack with n8n and Supabase
  • build RAG agents without sending data to the cloud
  • set up a local AI development environment with docker compose
  • chat with my n8n agents through Open WebUI
  • host my own vector database and auth for AI apps
  • replace cloud AI services with a private self-hosted setup

When to choose

  • you want a one-command local AI stack with LLM inference, workflow automation, and a vector database
  • privacy matters and you need everything self-hosted
  • you want pre-built RAG agent workflows to start from
  • you're following Cole's tutorials and want the exact matching environment

When to avoid

  • you need a production-grade managed deployment rather than a local dev setup
  • you only need a single tool like Ollama or n8n alone
  • you can't spare the RAM/GPU resources for many containers at once
  • you want a fully maintained product with enterprise support

Facets

infra-config · maturity active

llm-inference rag agent-framework vector-database chatbot workflow-automation self-hosted developer-tools artificial-intelligence large-language-models self-hosted developer-tools self-hosted windows docker-compose ollama n8n supabase open-webui local-ai low-code langfuse neo4j retrieval-augmented-generation ai-agents docker linux macos

1 source

Member repositories

RepositoryRoleHealth v2
coleam00/local-ai-packagedmain58

For agents

markdown · JSON · MCP: product_card(name="coleam00/local-ai-packaged")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem