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BIG-AGI
Multi-model AI workspace for professionals and teams
MIT
ABOUT
Professionals often need to switch between multiple AI models for different tasks — coding, writing, research, and analysis — but no single tool provides a unified, customizable workspace for managing multiple models, personas, and conversations effectively. Big-AGI solves this by offering a single interface for all major LLMs, with advanced features like Beam reasoning, persona management, and team collaboration in a self-hostable or cloud-deployed workspace.
INTEGRATION GUIDE
1. Multi-model chats: switch between GPT-4, Claude, Gemini, local models, and custom endpoints within a single conversation thread with automatic model routing
2. Beam reasoning: generate multiple parallel response variants and compare them side-by-side to find the best answer for complex problems
3. Persona-based interactions: create custom system prompts and personas for different roles — coder, writer, analyst — and switch between them seamlessly
4. Team collaboration: share chats, personas, and model configurations across team members with managed deployments and permission controls
5. Self-hosted deployment: run Big-AGI on your own infrastructure via Docker or Vercel with full data privacy and custom model endpoint support
TAGS
ai-workspacellmmulti-modelchatbotsproductivitycollaborationself-hosted