🖥️local-ai-packaged
Run all your local AI together in one package - Ollama, Supabase, n8n, Open WebUI, and more!
⭐ Popular: 4k stars, gaining about 5 a week
View on GitHub ↗repo profile
momentum
durability
since we covered it
why it's a big deal
- Bundles a full local AI stack (Ollama, Supabase, n8n, Open WebUI, Flowise, Qdrant, Neo4j, SearXNG, Langfuse) into one Docker Compose template so teams skip wiring the services together by hand.
- Runs entirely self-hosted, giving developers control over data and avoiding cloud vendor lock-in for AI workflow prototypes.
- Ships pre-built RAG agent workflows and an n8n-to-Open WebUI integration, so users have working examples rather than an empty environment.
under the hood
- Orchestrates the services as Docker Compose containers with shared networking and persistent volumes, so components reach each other internally, for example n8n calling Ollama at http://ollama:11434.
- A Python start_services.py script handles profile selection and environment setup, with profiles for NVIDIA GPU, AMD GPU, CPU, and none for an external Ollama instance.
- Uses Supabase Postgres for structured data and vectors while retaining Qdrant for faster vector operations, and puts Caddy in front as a reverse proxy handling HTTPS.
Radar summary, generated from the project's public sources
star history
- PR#17 3k 2025-09-17
- now 4k + 754 since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Better known than its recent output, coasting a little on attention.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
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Run LLMs Locally, Hassle-Free
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