Comparison
idapt vs Kagi Assistant
Both refuse to train on your data. Kagi pairs models with its search; idapt pairs them with a working environment.
Last reviewed July 16, 2026
At a glance
What Kagi Assistant is great at
Principled privacy on top of a search engine people genuinely prefer: multi-model chat grounded in Kagi's index, with a clear no-training stance. If you already pay for Kagi search, the assistant is a natural extension.
What you also get with idapt
The same no-training stance, applied to a full workspace: files that persist, agents with memory and permissions, computers that execute, and the option that goes further than any policy: local inference, where prompts never leave your machine at all. Privacy plus the tools to actually produce work.
The verdict
You are a Kagi search subscriber and want a private assistant grounded in that index.
You want the privacy stance and a working environment: durable files, agents, execution, and a local-inference lane for the most sensitive prompts.
Frequently asked
Explore the features
Local AI
Run open models on your own hardware with Ollama: private, free, no rate limits.
Web Search
Real-time info, cited sources, every model: no per-provider tax.
Multi-Model Chat
GPT, Claude, Gemini, Grok, Llama: pick mid-conversation, cheapest-first.
Drive
Folders, previews, and lightweight versioning for AI work.
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