Typing MindTypingMind is an all-in-one AI workspace for using leading AI models from OpenAI, Anthropic Claude, Google Gemini, xAI Grok, DeepSeek, Perplexity, OpenRouter, Azure OpenAI, and more — all from one interface.Supports AI Agents, MCP servers, plugins, knowledge bases, document and image uploads, web search, artifacts, voice features, team collaboration, and self-hosted enterprise deployments.
Typing Mind (typingmind.com) has 672 customer reviews on Five Star Index, with an average rating of 4.6 out of 5.
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Jeff
I love the interface and all of the features so far. 1 thing I would love to request is being able to fork chats in Multimodal chats. This way I can build a foundation base chat that uses my favorite models, then simply fork it every time into different topics, subjects, or projects.
The Biggest N.
Love it and am very familiar the chat models. I love using the best of each model to do what I need to do.
JR
Great interface. Folders and agents allow me to be organized while having multiple projects going at the same time. I’m able to access whichever LLM I think is best suited for the task.
Matteo R.
meglio del taleggio sulla pizza
Paul
I only use a subset of the features available in typing mind, but I love having the app and history available, no matter what platform I am on, without needing to install anything; and I have had a perfect experience in using it. It also seems to get new features added very regularly, so I know that as my needs grow, the app will be ready for me. Full marks to Tony and the typing mind team.
Neurohitect
Great tool, this was one of my biggest work upgrades of the recent years. I like the constant updates too. Thanks,guys!
Sivenic
After using TypingMind for more than year, I can say it ids my go-to tool for most AI tasks. It can be expanded with plugins. I connected it via MCP to my local RAG, or other RAG services like Vectorize. TypingMindt is pure gem.
blat
TypingMind is currently my preferred UI for using API-based LLMs. It provides everything I want and need beyond what's possible with simpler interfaces while still being approachable to me as someone with just an intermediate understanding of LLMs.
