Big-AGI Deploy the most innovative and productive Generative AI suite.

What is Big-AGI?

Big-AGI is a generative AI suite developed to enhance user productivity and creativity. It provides a platform with a mobile-friendly interface, granting access to a wide range of cutting-edge AI models and advanced tools. Designed for professionals, developers, and AI enthusiasts, Big-AGI aims to democratize access to sophisticated artificial intelligence capabilities within a productivity-focused environment.

As an open-source project, Big-AGI emphasizes user control over data, offering options for chats to be stored locally within the user's browser or through self-hosting. The platform supports integration with over 100 models, including those from OpenAI, Google, Anthropic, Mistral, and local models via Ollama. It incorporates features designed for a seamless workflow, promoting a state of focused productivity.

Features

Multi-Model Support: Switch between 100+ models including OpenAI, Google, Anthropic, Mistral, and local Ollama models.
Mobile-Friendly Interface: Optimized UI, installable as a web app for access anywhere.
Advanced Tools: Includes voice UI, file dropping, picture snapping, PDF shrinking, and diagram plotting.
AI Personas: Engage with diverse AI experts and clone new ones from sources like YouTube.
Command System: Utilize commands like /react for multi-step reasoning, /imagine for image generation, and /browse for web page reading.
Privacy Focused: Chats are stored locally in the browser with optional self-hosting.
Cloud Storage Options: Paid plans offer cloud storage (starting at 1GB) for multi-device synchronization.
Beam Parallel Reasoning: Enables multi-model reasoning capabilities (available in version 2).

Use Cases

Accessing and comparing outputs from various large language models.
Generating creative content using different AI personas.
Performing complex tasks requiring multi-step AI reasoning.
Creating images directly from text prompts within the interface.
Summarizing or interacting with online web page content.
Developing AI-powered applications with flexible model choices.
Maintaining data privacy through local storage or self-hosting.
Collaborating on AI projects across multiple devices via cloud sync (Paid Plans).