Local AI apps worldwide 26 Dec 2025(old.reddit.com)
old.reddit.com
Local AI apps worldwide 26 Dec 2025
https://old.reddit.com/r/Hugston/comments/1pw3oev/best_local_ai_apps_dec_2025_according_to/
https://old.reddit.com/r/Hugston/comments/1pw3oev/best_local_ai_apps_dec_2025_according_to/
3-click install → load → run
Install scope (User vs System)
Privacy enforcement (offline switch, no telemetry, no account, CLI)
Workspace features (files/images, code editor, tables→CSV, terminal)
Open model ecosystem (load models from any folder)
Forced updates
Double memory usage
Code preview option
User-activatable local API
Open-source availability
Legend yes / strong partial no drawback
Ranking Rationale (Concise)
HugstonOne (not a simple wrapper) Only app that on top of the other apps does:
have double memory (1 in chat-sessions and tabs and another in persistent file),
installs as user, not in system or admin
enforces offline privacy, with a online/offline switch
supports open models from any folder, not close inapp ecosystem
provides a full agentic workspace (editor, preview, files, tables→CSV, structured output),
exposes a private local API in CLI beside the server.
LM Studio Excellent runner and UX, but closed source, forced updates, and limited workspace depth.
Jan Open source and clean, but workspace features are thin and updates are enforced.
GPT4All Good document/chat workflows; ecosystem and extensibility are more constrained.
KoboldCpp Powerful local tool with strong privacy, but no productivity layer.
AnythingLLM Feature-rich orchestrator, not a runner; requires another engine and double memory.
Open WebUI UI layer only; depends entirely on backend behavior.
Ollama Solid backend with simple UX, but system-level daemon install and no workspace.
llama.cpp (CLI) Best engine, minimal surface area, but zero usability features.
vLLM High-performance server engine; not a desktop local-AI app.