- Developers & Engineers: Build and customize AI chat experiences using code and APIs.
- Enterprises & Teams: Deploy secure, scalable AI assistants within internal systems.
- Product Managers: Integrate AI features into existing workflows and apps.
- Educators & Researchers: Experiment with multiple AI models in an open environment.
- Startups: Launch AI-powered solutions quickly without heavy infrastructure costs.
How to Use LibreChat?
- Sign Up or Deploy Locally: Access the platform online or set it up through Docker or GitHub.
- Select Your AI Model: Choose from OpenAI, Anthropic, AWS, Azure, and other integrations.
- Use Agent or Code Interpreter: Execute code, interpret data, and perform API-based actions.
- Collaborate & Manage Chats: Handle conversation threads, fork discussions, and manage users.
- Advanced Agents: Perform code execution, API calls, and file handling within chat.
- Multimodal Capabilities: Analyze and interact with images and files seamlessly.
- Cross-Model Support: Integrate multiple AI engines for diverse use cases.
- Open-Source Freedom: Full customization, transparency, and community-driven development.
- Artifact Creation: Generate React components, HTML, and diagrams instantly in conversation.
- Completely open-source and developer-friendly.
- Supports multiple AI models and APIs.
- Handles file analysis and real-time code execution.
- Strong privacy control and customization options.
- Requires technical expertise for full customization.
- Limited non-developer documentation.
- Self-hosting setup may be complex for beginners.
- No built-in commercial support for all features.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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