15 tools tracked
Avg 7d gain: +10
Local AI
Run AI models on your own hardware for full privacy and control. No API costs, no data leaving your machine.
Heat scores updated daily from 30+ live sourcesEmbed this scoreboard →
Movers this week
1
rising
rising
stable
peak
rising
stablestableemerging
decliningpeak
emerging
stable
emerging
declining
fading
LocalAI
Teams & Solo
+13
7d
64
Heat
2
LM Studio
Teams & Solo
+31
7d
47
Heat
3
LibreChat
Teams & Solo
+14
7d
46
Heat
4
Ollama
Teams & Solo
+4
7d
44
Heat
5
Jan
Teams & Solo
+8
7d
39
Heat
6
llama.cpp
Teams & Solo
+12
7d
38
Heat
7
Koboldcpp
Teams & Solo
+6
7d
34
Heat
8
Llamafile
Teams & Solo
+10
7d
33
Heat
9
Open WebUI
Teams & Solo
31
Heat
10
text-generation-webui
Teams & Solo
+3
7d
29
Heat
11
Msty
Teams & Solo
+8
7d
23
Heat
12
PrivateGPT
Teams & Solo
+3
7d
22
Heat
13
GPT4All
Teams & Solo
+12
7d
22
Heat
14
AnythingLLM
Teams & Solo
18
Heat
15
H2O LLM Studio
Teams & Solo
10
Heat
Popular comparisons
Frequently asked questions
What does Local AI mean here?
Local AI tracks the software that runs models on your own hardware instead of a cloud API — full privacy, no per-token bill, and no data leaving your machine. Ollama, llama.cpp, Jan, and LibreChat are tracked in this category, covering everything from the inference engine to the desktop chat front-end.
How do I get started running AI locally?
Your hardware sets the ceiling, so start there: available VRAM or unified memory decides which model sizes and quantization levels will actually run at usable speed. Pick a runner that matches your comfort level — a command-line engine for control, or a desktop app if you'd rather click. The run-AI-locally and Ollama model-picker guides walk through the hardware math and a first working setup.
Guides for this category
How to Run AI Locally in 2026 (Offline, Private, Free)
Learn how to run AI models locally on your own hardware — completely offline, private, and free. Step-by-step guide covering the best local AI tools including Jan and Open WebUI.
Which Ollama Model Should I Run? Hardware Guide 2026
Find the right Ollama model for your GPU VRAM or Apple Silicon RAM. VRAM tier tables, quantization explained, and a fine-tuning pathway via Unsloth.
Build Your Sovereign AI Stack in 2026 (No Cloud Required)
Ollama, Axolotl, Unsloth, Haystack, and Burn are co-moving — a rare multi-tool signal. This guide shows how to wire them into a complete run-fine-tune-serve pipeline you own.