MindWorkAI/AI-Studio
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Prepared release v26.1.1 (#624)
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Thorsten Sommer authored and GitHub committed 2026-01-11 17:00:33 +01:00
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@@ -79,6 +79,7 @@ Since March 2025: We have started developing the plugin system. There will be la
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- v26.1.1: Added the option to attach files, including images, to chat templates; added support for source code file attachments in chats and document analysis; added a preview feature for recording your own voice for transcription; fixed various bugs in provider dialogs and profile selection.
- v0.10.0: Added support for newer models like Mistral 3 & GPT 5.2, OpenRouter as LLM and embedding provider, the possibility to use file attachments in chats, and support for images as input.
- v0.9.51: Added support for [Perplexity](https://www.perplexity.ai/); citations added so that LLMs can provide source references (e.g., some OpenAI models, Perplexity); added support for OpenAI's Responses API so that all text LLMs from OpenAI now work in MindWork AI Studio, including Deep Research models; web searches are now possible (some OpenAI models, Perplexity).
- v0.9.50: Added support for self-hosted LLMs using [vLLM](https://blog.vllm.ai/2023/06/20/vllm.html).
@@ -90,8 +91,6 @@ Since March 2025: We have started developing the plugin system. There will be la
- v0.9.31: Added Helmholtz & GWDG as LLM providers. This is a huge improvement for many researchers out there who can use these providers for free. We added DeepSeek as a provider as well.
- v0.9.29: Added agents to support the RAG process (selecting the best data sources & validating retrieved data as part of the augmentation process)
- v0.9.26+: Added RAG for external data sources using our [ERI interface](https://mindworkai.org/#eri---external-retrieval-interface) as a preview feature.
- v0.9.25: Added [xAI](https://x.ai/) as a new provider. xAI provides their Grok models for generating content.
- v0.9.23: Added support for OpenAI `o` models (`o1`, `o1-mini`, `o3`, etc.); added also an [ERI](https://github.com/MindWorkAI/ERI) server coding assistant as a preview feature behind the RAG feature flag. Your own ERI server can be used to gain access to, e.g., your enterprise data from within AI Studio.
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