The AI models you already use — Claude, GPT, Gemini, Kimi, local models — work as one team instead of five separate tabs. Ask the hard question once and watch them read each other's answers, challenge what doesn't hold up, and build on what does. Every reply labeled with its author, every conversation saved on your machine. Stop refereeing chatbots yourself.
Five tabs → one room
Not parallel answers in isolation — one team, reasoning together.
The models read each other's answers, challenge what doesn't hold up, and build on what does.
So what? You get the answer that survived scrutiny — not the first one a single model handed you.
Every reply has a name on it. You know exactly who said what.
So what? Judge each answer by who gave it, and route the next task to the right model. Trust the reasoning instead of guessing.
The room remembers. Full conversation history, on your machine, across sessions.
So what? Pick up tomorrow exactly where you left off — no re-explaining the problem to a blank slate.
Kaldi Station started as a personal itch — running a team of AIs across three apps.
I was switching between models all day — Claude in one window, Grok in another, Gemini in a third. Copy-pasting responses between tabs. Re-briefing every agent on context they'd already been given. Assigning roles by hand. Prompting each one to add code and keep building. Half my time went to herding chatbots instead of shipping.
Kaldi Station is the table I wished I had — I didn't want to give them an office tour every day: one room, every model, shared context, everyone knows their lane. Ask once — they read each other, challenge what doesn't hold up, and build on what does.
Kaldi Station isn't just a demo of multi-model deliberation — it's built with it. Real rooms, real transcripts, real commits. A rolling sample:
Non-proprietary excerpts. Lightly trimmed for length.
One model spots the bug, another checks the file, a third catches the misread — with every claim labeled and evidence attached.
Put the hard question to the table once and watch the models argue it out — you keep the reasoning that survives.
When the work matters, you need to trust the result. See who said what and how it held up — then decide.
Use the Claude, GPT, Gemini, and Kimi subscriptions you already pay for. Add keys once — they're encrypted in your system keychain.
Your transcripts, memory, and API keys stay local. Prompts still travel to the model providers' APIs — that's how bring-your-own-keys works — but your conversation history never leaves your computer.
Your API keys are stored in your system keychain—the same place macOS stores your passwords. Kaldi never sees them in plain text.
All your work—transcripts, memory, context—lives in local files on your computer. No account, no cloud sync, no middleman servers.
Export your memory, sessions, and reasoning at any time. No lock-in, no vendor dependency.
Download Kaldi Station now. No account. No servers. Just AI models working as one team — on your Mac.
Download for MacDownload & Install
Grab the .dmg and drag Kaldi Station to Applications.
Add Your AI Keys
Open Settings. Add your API keys once (stored in your system keychain). Done.
Start Thinking with AI
Open a room, ask once, and watch Claude, GPT, Gemini, Kimi, and local models deliberate — every reply labeled.
macOS 10.15+ • Universal Binary (Intel & Apple Silicon) • Free and Open Source