"Local AI" gets used loosely. Here it means something literal: install it, and inference happens on your own hardware, with no API key and no per-token bill. Rather than five overlapping options for the same job, this is one tool per layer of a working local stack — inference engine, chat interface, vector store, retrieval framework, and a ready-made local automation kit. Every entry below already passed its own independent review; the verdict, star count, and review date shown next to it are pulled live from that review, not retyped here.
Claim: Claims you can run any LLM locally with one command. Confirmed, and the REST API works immediately. Cold start can hit 8+ seconds; quality varies by model.
Reviewed: May 5, 2026
Claim: Claims a local chat UI in one Docker command, no API key, no database. ollama was auto-detected, llama3.2 connected, and one model-tag quirk needed a flag.
Reviewed: May 16, 2026
Claim: Claims a 4-function vector database, fully local, with automatic embedding. Verified in-memory and persistent. First run silently downloads a 79MB model.
Reviewed: May 5, 2026
Claim: Claims a working RAG pipeline in about five lines of Python. Verified locally on in-memory docs and real files, accurate answers, no external services needed.
Reviewed: May 7, 2026
Claim: Claims one docker compose up brings up n8n, Qdrant, and Postgres. All three start, the sample agent workflow runs locally, but the demo defaults to OpenAI.
Reviewed: June 10, 2026
None of these need a credit card to try. For the full build, not just the individual pieces, https://repoverifier.dev/the-stack walks through wiring three of them together end to end. And if a tool below stops holding up — verdict downgraded, repo abandoned — that will show up on this page automatically, not just buried in the review it links to.