Klee
Run private AI workflows directly on your desktop
Available On
Desktop
Target Audience
- Privacy-conscious individuals
- macOS productivity users
- Regulated industry professionals
Hashtags
Overview
Klee is a macOS app that keeps your AI work completely private by processing data locally on your device. It combines note-taking with secure AI features using open-source models like DeepSeek and Llama. Offers free lifetime access for local use, with optional cloud model integrations for advanced needs. Ideal for handling sensitive information without third-party data risks.
Key Features
Local Processing
AI runs entirely on your device for maximum privacy
Hybrid AI Models
Combine local open-source and cloud models (OpenAI/Anthropic)
Secure Knowledge Base
Organize notes with AI-powered insights without data leaks
Free Privacy Mode
Lifetime free access for local model usage
Use Cases
Process sensitive data securely
Take private AI-powered notes
Analyze documents with local LLMs
Blend cloud/local AI workflows
Pros & Cons
Pros
- Zero data transmission in privacy mode
- Free forever for local model usage
- Native macOS integration for smooth performance
- Hybrid cloud/local model flexibility
Cons
- Currently macOS-only (no Windows/Linux support)
- Enterprise features still in development
- Local processing requires adequate hardware
Pricing Plans
Individual Users
monthlyFeatures
- Open source models
- Unlimited local dialogues
- Note-taking
- Knowledge base entries
Pro
monthlyFeatures
- OpenAI/Anthropic cloud access
- AI functions in notes
- Unlimited cloud dialogues
Enterprise
Features
- Shared knowledge base
- Admin/user roles
- API access
- Custom model training
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
How does Klee ensure data security?
In private mode, all processing happens locally - your data never leaves your device.
Can I use cloud AI models with Klee?
Yes, Pro plan offers integration with OpenAI and Anthropic services.
Is there team collaboration support?
Shared knowledge bases and user roles are planned for future enterprise versions.
Integrations
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