Open-source. Self-hostable. No API keys required.
Find the right open-source AI tool.
Honest reviews and comparisons of open-source AI tools — LLM runners, image generators, coding assistants, and self-hosted stacks. No hype, just what works.
What we cover
Four categories of open-source AI tooling.
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LLM Runners
Ollama, llama.cpp, LM Studio, vLLM, Tabby — what each does best and which one fits your setup.
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Image Generation
ComfyUI, Automatic1111, InvokeAI, Fooocus — feature comparisons, workflow depth, and ease-of-use tradeoffs.
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Coding Assistants
Continue.dev, Cline, Aider, Tabby — open-source alternatives to Copilot that run on your own models.
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Self-Hosted Stack
Open WebUI, Flowise, n8n, Langfuse — the glue layer that turns individual tools into a working AI stack.
Latest posts
Fresh from the bench.
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audio.cpp Setup Guide 2026: Local TTS in Pure C++, No Python
Build audio.cpp from source and run Qwen3-TTS, PocketTTS, and SeedVC voice conversion locally: cmake flags, CLI commands, q8_0 quantization, and honest limits.
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LM Studio Headless Server 2026: llmster Setup Without a GUI
Run LM Studio 0.4 as a headless server with llmster: install, systemd, port 1234 API, and continuous batching — plus when Ollama is still the better pick.
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LiquidAI LFM2.5 Review 2026: Edge AI on a Raspberry Pi — With a License Catch
LFM2.5 review 2026: Liquid AI's 8B-A1B MoE and 230M edge models run at 253 tok/s on Apple Silicon and 42 tok/s on a Pi 5 — but the license is not Apache 2.0.
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For Most of the World, Open-Source AI Is the Only Way Forward: The 2026 Sovereignty Case
The MMLU gap between open and proprietary models collapsed from 17.5 to 0.3 points in a year. Why sovereignty, export risk, and cost now favor self-hosting.
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smolagents + Ollama Setup 2026: Local Agents in 20 Lines
smolagents is Apache 2.0 with a ~1,000-line core. Wire CodeAgent to Ollama with LiteLLMModel, dodge the num_ctx trap, and pick a sandbox — zero API cost.
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