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
How to Use
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.
Repository Data
Language Distribution
Based on repository file analysis
Top Contributors
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