AI ChatDocument AnalysisLocal LLM Interface

RecurseChat

Chat privately with local and cloud AI models offline

One-Time Payment
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RecurseChat

Available On

Desktop

macOS

Target Audience

  • MacOS power users
  • Privacy-conscious professionals
  • Researchers analyzing sensitive documents
  • Content creators needing offline AI

Hashtags

#LocalAI#OfflineAI#MacOSApp#PrivateChat

Overview

RecurseChat is a macOS app that lets you use AI chat completely offline with local models or connect to services like ChatGPT. It works with documents like PDFs without uploading them, keeps your data private, and requires no technical setup. Perfect for users who want AI assistance without relying on internet access or cloud services.

Key Features

1

Offline Chat

Use AI models locally without internet connection

2

Document RAG

Chat with PDF/markdown files using local processing

3

Multi-Model Chats

Combine different AI models in one conversation

4

Full Text Search

Instantly find messages across thousands of chats

5

MacOS Security

Sandboxed app protects your data and privacy

Use Cases

📄

Chat with PDFs offline

✍️

Draft content with multiple AI models

🔍

Research documents privately

🖼️

Discuss images using visual AI

💻

Code assistance without cloud dependency

Pros & Cons

Pros

  • True offline functionality with local models
  • No data leaves your computer with local processing
  • Simplified setup compared to other LLM clients
  • Native macOS integration with keyboard shortcuts

Cons

  • MacOS-only (no Windows/Linux support)
  • Requires local model management for advanced use
  • One-time purchase model vs subscription updates

Pricing Plans

MacOS License

one-time
$29.99

Features

  • All local AI features
  • Lifetime updates
  • Priority support
  • Cross-device sync

Pricing may have changed

For the most up-to-date pricing information, please visit the official website.

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Frequently Asked Questions

Can I use this completely offline?

Yes, RecurseChat works fully offline with local LLMs like GGUF models

How does document chat work?

Files are processed locally using built-in RAG with local vector databases

Can I use ChatGPT with this?

Yes, supports both local models and cloud services like ChatGPT/Claude

Integrations

Hugging Face models
OpenAI-compatible endpoints

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