Magai

Magai provides a shared chat workspace for using multiple AI models and switching models within a conversation.

magai.co
Magai homepage screenshot

About Magai

Magai provides a shared chat workspace for using multiple AI models in one conversation. Users can switch models mid-conversation by typing a slash and a model name or using a model picker, with prior messages carried to the new model. It includes memory stored separately from models that persists when switching and can be read, searched and deleted. Users can also create agents from instructions, files and skills that can run on different models and be scheduled.

Key features

  • Switch chat models mid-conversation with slash command
  • Model picker showing context limits and usage multipliers
  • Shared memory across models that can be searched and deleted
  • Custom agents with instructions, files and skills usable on any model
  • Schedule agents or tasks to run with chosen model
  • Generate images and video alongside text chat
Best for: People who work with several AI models and want to switch without re-entering context.
Good for
  • Conversation history is retained when switching models
  • Memory can be read, searched and deleted by the user
  • Created content remains accessible when usage runs low
Watch out for
  • Available models have different context limits and usage multipliers
  • Usage is metered across models and tools and can run low

Magai at a glance

Website
magai.co
Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Magai FAQ

How do I switch models in a conversation?
Type a slash and a model name, or open the picker and choose. The next reply comes from that model with the conversation history included.
What happens to memory when I switch models?
Memory is stored separately from the models and carries over when switching. Entries can be read, searched and deleted.
Can an agent run on different models?
Yes. Agents hold instructions, files and skills separately from a model and can be called by name in any chat and run on different models.
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