AIFoss covers open-source AI tools for people who want to run AI without handing data to a third-party API. If a tool requires a cloud account to use, it's not in scope here.

Why this site exists

Open-source AI moves faster than any publication can track, and most coverage is either a GitHub README written by the maintainer or a 10-minute YouTube install video. We do something different: structured comparisons, documented test configurations, and honest assessments of what each tool is actually good at versus what it claims.

What you'll find here

• LLM runners — Ollama, llama.cpp, LM Studio, vLLM, Tabby: feature comparisons, performance tradeoffs, when to use each.
• Image generation — ComfyUI, Automatic1111, InvokeAI, Fooocus: workflow depth, hardware requirements, upgrade paths.
• Coding assistants — Continue.dev, Cline, Aider, Tabby: setup guides, model pairings, honest productivity assessments.
• Self-hosted stacks — Open WebUI, Flowise, n8n, Langfuse: integration guides and real-world deployment patterns.

Editorial approach

Every comparison is tested on real hardware with the exact version and config documented. We don't take sponsorships from tool maintainers. Where affiliate links appear, they're for hardware or services — never for the tools themselves, which are free.

Our Testing Environment

Every tool reviewed on aifoss.dev is self-hosted and tested on our own hardware:

• Server: Ubuntu 24.04, RTX 4090, 64GB RAM, 4TB NVMe
• ARM testing: Raspberry Pi 5 8GB, Mac Mini M4
• Container stack: Docker + Compose, tested on clean installs
• Privacy verification: All network traffic monitored during testing to verify "no phone home" claims

Setup guides reflect actual installation steps we ran. If a command failed, we document the fix. No theoretical walkthroughs.

Contact

Corrections, tool suggestions, or something that's wrong? Open an issue on our GitHub or reach out at the email listed there.