LobeChat

Built for you the Super Individual

Freemium

Description

LobeChat provides a platform for individuals to create and utilize personalized AI assistants. It features an intuitive interface similar to messaging apps, allowing seamless switching between different AI companions. Users can access an extensive market of pre-built AI assistants or design their own using an integrated editor.

The platform supports multi-modal interactions, including visual recognition for uploaded images and voice conversations with Text-to-Speech (TTS) and Speech-to-Text (STT) capabilities. LobeChat integrates with a wide range of large language models like GPT, Gemini, Claude, and others, and allows functionality extension through various plugins for tasks such as search, academic research, and finance.

Key Features

Assistant Market: Access over 488 specialized AI assistants for various domains.
Plugin Ecosystem: Enhance assistant capabilities with 45+ plugins spanning search, academia, finance, etc.
Multi-Modal Interaction: Engage via text, image uploads (visual recognition), and voice (TTS/STT).
Multi-Model Support: Integrates with numerous LLMs including OpenAI (GPT series), Google (Gemini), Anthropic (Claude), Meta, Mistral, Ollama, and more.
Custom Assistant Builder: Design and craft unique AI assistants using an intuitive editor.
Messaging App Interface: Offers a simple and familiar chat interface for easy interaction.
Knowledge Base Integration: Upload documents (PDF, MD, DOC, etc.) to chat directly with your content.
Cloud Sync: Synchronize chat history and settings across multiple devices (available in cloud version).

Use Cases

Personal Productivity Enhancement
Creative Content Generation and Writing Assistance
Learning and Research Support (including document interaction)
Software Development and Engineering Tasks
Building and Managing Specialized AI Teams

Frequently Asked Questions

Can LobeChat be used for free?

LobeChat offers a Community Edition, a Free Trial with computing credits, and a Hobby plan where users can configure their own provider API keys. Paid plans offer built-in credits and additional features.

What are calculating credits?

Calculating credits are used to measure the usage of AI models within LobeChat Cloud, corresponding to the tokens consumed by the large language models.

How is vector storage calculated?

Vector storage is calculated based on the number of entries, which relates to the amount of data stored for knowledge base and document conversation features (e.g., 1,000 entries is approximately 10MB).