Any AI Provider, Zero Lock-in
26 providers built in: OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Groq, Together, MiniMax, Moonshot AI (Kimi, international and China endpoints as separate accounts), GLM (z.ai), Qwen (DashScope), Hunyuan, GigaChat, AtlasCloud, Unsloth, Cloudflare Workers AI, NVIDIA NIM, Hugging Face and OpenRouter - plus Ollama, LM Studio, Skales Local and any OpenAI-compatible endpoint. Sign in with your ChatGPT subscription without an API key. Switch any time, no restart.
Every provider →
New v12.9 Can this model see images?
A switch beside the model field of every provider card: Auto, Yes, or No. Skales used to guess from the model name and from whatever a running daemon reported, and a wrong guess was not correctable. Your answer now wins over both, in either direction, for that model at that provider - and an attached picture no longer throws away the question you typed with it: the turn runs, the picture is set aside, and you get the honest sentence instead of a blind answer.
New v12.9 Skales Local
Skales ships its own inference server. Not a wrapper around Ollama: a bundled llama.cpp that Skales starts and stops itself, with a catalog of 56 models where every entry carries its size, its license and a SHA-256 you can check. Images are generated on the device through stable-diffusion.cpp, speech comes in through Whisper and goes out through Piper - all offline, all without a key. It starts itself when this machine is the one you pointed Skales at, the layer slider and thread count really reach the engine, and the GPU badge is read from what the engine actually loaded rather than from what the build hoped for - when nothing went across it says CPU and names the reason. Ollama and LM Studio still work; they are now a choice rather than a requirement.
How Skales Local works →
Skales IQ
The zero-key way in. Open Skales and start working: Skales IQ is the built-in free trial, ready on first launch, with tool calling and image understanding, and no API key to fetch first. It is the first entry in the provider list on purpose. When the trial runs out, paste your own key or switch to a local model and keep going for free.
Start with zero keys →
Obsidian Vaults
Point Skales at one Obsidian vault or several, and they stay living folders rather than a one-time import: read and append, a memory graph per vault, backlinks the agent can follow. Six of the vault tools also run in the mobile app.
New v12.9 Character, Conscious & Mood
Give your assistant a name and a character - seven sliders from serious to playful, businesslike to warm - and it keeps them. Conscious carries a working mood across a conversation instead of resetting to a blank, polite tone every message: it notes in one sentence what it was thinking about at the end of a turn, and it drifts with the clock and the shape of the day rather than only with the last thing that failed. Skales also tracks the topics you keep coming back to, so a briefing reads like it comes from someone who knows your work. It is on from the start now instead of hidden behind a switch nobody found, it only ever draws - no notification, no sound, nothing sent - and one tap in Settings turns it off for good. The mood is about the work, never about you.
New v12.9 Memory & Dreaming
Short- and long-term memory plus a 3-phase overnight consolidation engine that promotes important facts and discards noise - Dream Diary included. Every saved line says where it came from - you told it, it was noted in a chat, the nightly pass found it, or it came over from your phone - and can be corrected rather than only deleted. A fact that has been overtaken steps back without deleting its own history. Answers cite the memories they used, each with its date and a tap through to the entry. Skales writes four short lines about a conversation once it goes quiet and folds a day into one account overnight, so "what did we talk about yesterday" is a question with an answer - the search understands periods of time and looks for meaning rather than for letters, in every language you write in.
Self-Improving Agents
Custom agents can keep their own memory: each one distils a lesson from every task it finishes and reads it back next time - your agents get better at your work instead of starting fresh.
LLM Profiles
Per-model tuning so tool-calling stays reliable across very different models. Built-in profiles for DeepSeek, Qwen, Llama, Gemma, Mistral, GLM, Kimi and small local models; frontier models run unchanged. Opt-in.
Advisor Strategy
Use a powerful model for planning and a fast model for execution - same quality, lower cost. Skales auto-detects the plan vs. execute phase.
Vision & Knowledge Graph
Paste any image for instant analysis with your active provider, and explore a visual knowledge graph of your notes, tasks and conversations to surface connections you missed.