DeepChat

DeepChat

A sophisticated, cross-platform desktop AI assistant featuring native DeepSeek API integration, delivering enterprise-grade conversational intelligence with multi-model support and privacy-first architecture.

What is DeepChat

Cross-platform desktop AI assistant seamlessly integrated with DeepSeek LLMs. This open-source application delivers enterprise-grade conversational intelligence with a user-friendly interface and privacy-focused design. Supporting Windows, macOS, and Linux, it prioritizes local processing to protect data privacy while providing advanced AI capabilities.

How to Use

Benefit from multi-channel conversation support to switch between chats while waiting for responses.

Step 1: Installation

Download the appropriate package from GitHub and follow system prompts to install.

Step 2: Setup

Launch app, add your DeepSeek API key in settings, and customize preferences.

Step 3: Start Chatting

Click '+' to create a conversation, type your question, and engage in dialogue.

Step 4: Explore Advanced Tools

Analyze documents, create knowledge bases, use real-time search, and switch models as needed.

Core Features

Multi-turn Contextual Conversations

Context-aware dialogues with memory of previous interactions for natural conversational flow.

Real-time Internet Search

Access latest information within conversations for enhanced response accuracy with up-to-date data.

Document Analysis & Knowledge Extraction

Process multiple file formats to extract insights with intelligent data processing capabilities.

Concurrent Multi-channel Conversations

Switch between ongoing conversations without response delays, boosting productivity.

Privacy-First Architecture

Desktop-first approach keeping sensitive data protected and confidential throughout interactions.

Enhanced Markdown Rendering

Superior rendering of Markdown with code syntax highlighting for developers and technical documentation.

Integration Capabilities

Native DeepSeek API Integration

Seamless connection with DeepSeek LLMs for enterprise-grade conversation performance.

Multi-model Support

Unified interface for DeepSeek, OpenAI and other AI services with flexible model selection.

Local Model Deployment

Ollama integration for local model deployment with reduced latency and enhanced privacy.

Custom Knowledge Bases

Create personalized knowledge resources to enhance AI responses with domain-specific information.

Cross-platform Compatibility

Support for Windows, macOS, and Linux on both x64 and ARM64 architectures.

Open API Architecture

Extensible design facilitating integration with other tools, services and workflow automation.

FAQ

Q: Is DeepChat free to use?

A: Yes, DeepChat is free and open-source. Note that DeepSeek API usage may require an API key with potential costs based on their pricing policy.

Q: Do I need programming knowledge to use DeepChat?

A: No. DeepChat offers an intuitive interface for users of any technical level. Simply install and follow the setup prompts.

Q: What languages does DeepChat support?

A: DeepChat supports all languages understood by DeepSeek models, including English and Chinese, with interface primarily in these languages.

Q: Where is my conversation data stored?

A: Conversation data is stored locally on your device by default, only sent externally through API calls to language model providers.

Q: How do I get a DeepSeek API key?

A: Visit the official DeepSeek website, register an account, and apply for an API key. Add it to DeepChat settings once obtained.

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JavaScript
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