MindWorkAI/AI-Studio
MindWorkAI/AI-Studio
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Prepared release v26.8.1 (#917)

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Thorsten Sommer 2026-08-13 08:10:05 +02:00 committed by GitHub
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commit 6001cb5f42
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10 changed files with 35 additions and 33 deletions
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2
app/Build/Build Script.csproj
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@ -14,7 +14,7 @@
<PackageReference Include="Cocona" Version="2.2.0" />
<!-- Pins Cocona's transitive Microsoft.Extensions.Hosting 6.0.0, which pulled in the vulnerable System.Text.Json 6.0.0 (GHSA-8g4q-xg66-9fp4) -->
<PackageReference Include="Microsoft.Extensions.Hosting" Version="9.0.18" />
<PackageReference Include="Microsoft.Extensions.Hosting" Version="9.0.19" />
</ItemGroup>
<ItemGroup>

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app/MindWork AI Studio/Components/Changelog.Logs.cs
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@ -13,6 +13,7 @@ public partial class Changelog
public static readonly Log[] LOGS =
[
new (251, "v26.8.1, build 251 (2026-08-13 06:01 UTC)", "v26.8.1.md"),
new (250, "v26.7.3, build 250 (2026-07-21 12:45 UTC)", "v26.7.3.md"),
new (244, "v26.7.2, build 244 (2026-07-06 18:35 UTC)", "v26.7.2.md"),
new (243, "v26.7.1, build 243 (2026-07-05 16:39 UTC)", "v26.7.1.md"),

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app/MindWork AI Studio/MindWork AI Studio.csproj
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@ -53,11 +53,11 @@
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<PackageReference Include="MudBlazor" Version="8.15.0" />
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<PackageReference Include="LuaCSharp" Version="0.5.6" />
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<ItemGroup>

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app/MindWork AI Studio/packages.lock.json
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@ -22,21 +22,21 @@
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6
app/MindWork AI Studio/wwwroot/changelog/v26.8.1.md
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@ -1,4 +1,4 @@
# v26.8.1, build 251 (2026-08-xx xx:xx UTC)
# v26.8.1, build 251 (2026-08-13 06:01 UTC)
- Added Hetzner's experimental inference API as an LLM provider. It runs open-source models in the EU and supports text and image chats through its OpenAI-compatible API.
- Added support for the new open source models DeepSeek V4 Flash and Pro, GLM 5.2, Kimi K2.7 Code and K3, as well as Qwen 3.6 and 3.8.
- Added a prototype Visual Briefing Assistant that turns documents, data, images, audio, and video into self-contained interactive HTML briefings. When you want to test it, you have to enable this preview feature in your app settings.
@ -8,12 +8,12 @@
- Added a delete button for assistants, configurations, and language plugins you installed or placed yourself. Until now, such a plugin could only be removed from the data directory by hand, which was especially painful for configurations because they have no on/off switch. Before deleting a configuration, AI Studio lists what disappears with it, such as providers, data sources, and settings that return to their default. When you delete the language plugin you had chosen, AI Studio returns to choosing your language automatically. Plugins shipped with AI Studio and plugins deployed by your IT department cannot be deleted.
- Added options for organizations to disable importing, sharing, and exporting plugins, with a separate option for configuration plugins. Organizations can now let people import assistants while keeping configurations to their IT department.
- Added a priority for configuration plugins. Organizations that deploy several configurations can now decide which one wins: a configuration with a higher priority overrides the settings and providers of a lower one. This allows a company-wide base configuration that each department refines for itself.
- Added the Batch Processing Assistant: process all documents of a folder in one run. Each document is sent to the AI along with your instructions - either a free prompt, one of your document analysis policies, or instructions you import from a file. You choose whether each answer is stored as its own Markdown file or whether all answers are collected in one CSV results table, which you can name yourself. Every run writes a log that lists each document with its processing time, the model, the status, and the reason for any error. When you start another run on the same output folder, we ask whether you want to continue it: documents that failed or are missing from the log are processed again, which is helpful after a crash or when documents exceeded the context window of your model. A single failing document never stops the run, and you can cancel at any time. The assistant was contributed by Jens Erler (`j-erler`) and marks his first contribution to AI Studio. Thank you, Jan, for this wonderful and useful contribution.
- Added the Batch Processing Assistant: process all documents of a folder in one run. Each document is sent to the AI along with your instructions – either a free prompt, one of your document analysis policies, or instructions you import from a file. You choose whether each answer is stored as its own Markdown file or whether all answers are collected in one CSV results table, which you can name yourself. Every run writes a log that lists each document with its processing time, the model, the status, and the reason for any error. When you start another run on the same output folder, we ask whether you want to continue it: documents that failed or are missing from the log are processed again, which is helpful after a crash or when documents exceeded the context window of your model. A single failing document never stops the run, and you can cancel at any time. The assistant was contributed by Jens Erler (`j-erler`) and marks his first contribution to AI Studio. Thank you, Jens, for this wonderful and useful contribution.
- Added a way for IT departments to try out a configuration before rolling it out. A configuration placed in the new `.config-tests` directory below the plugins directory acts like one your organization deployed, including the approval of assistant plugins, so a test shows exactly what colleagues will see later. No configuration server is needed for this. AI Studio empties that directory every time it starts, so a test configuration is valid for one session, and the information page reports it while it is active. The Enterprise IT documentation describes the whole procedure.
- Added CSV and TSV files to the file types you can attach. AI Studio was already able to read them, but they could not be selected.
- Improved how your organization's configuration behaves when a configuration plugin is present but cannot be loaded, e.g. because of an error in the plugin. Such a plugin still manages your app, so its settings, providers, data sources, profiles, and chat templates now stay in place instead of being removed.
- Improved reading large files from slow locations such as network drives. AI Studio now waits considerably longer before it gives up, and it tells you when it does.
- Improved how Word documents (`.docx`) and OpenDocument text files (`.odt`) are read. AI Studio now reads them itself instead of handing them to Pandoc, so these documents no longer need a Pandoc installation. It reads them section by section, which keeps even large documents responsive, and it now picks up more of the document: the title, the author, headers and footers, footnotes, endnotes, and comments. This was contributed by Nils Kruthoff (`nilskruthoff`), who also wrote the library behind it. Thank you, Nils, for this great contribution.
- Improved how Word documents (`.docx`) and OpenDocument files (`.odt`) are read. AI Studio now reads them itself instead of handing them to Pandoc, so these documents no longer need a Pandoc installation. It reads them section by section, which keeps even large documents responsive, and it now picks up more of the document: the title, the author, headers and footers, footnotes, endnotes, and comments. This was contributed by Nils Kruthoff (`nilskruthoff`), who also wrote the library behind it. Thank you, Nils, for this great contribution.
- Improved the order of your models. Every list of models is now sorted by provider and name, so all models of one provider stay together. Until now, models appeared in the order they were created, which meant that a model added later always showed up at the end of the list. This was especially confusing when your organization rolled out new models. In the settings, the tables for LLM providers, embeddings, and transcription are now grouped by provider and start collapsed, so even a long list stays easy to survey.
- Changed how approvals for assistant plugins combine when your organization deploys several configurations. They now add up, so a department can approve additional assistant plugins without repeating the approvals of the company-wide configuration. Previously, the last configuration replaced all earlier approvals, which silently required a new security check for those assistants.
- Fixed attached files reaching the AI as empty documents when AI Studio could not read them. The AI then answered as if your file had no content, and nothing pointed to a problem. AI Studio now names the cause instead, for example, an unavailable network drive, a file another program is blocking, a protected PDF, or a scanned PDF without a text layer, and it no longer attaches such a file.

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app/MindWork AI Studio/wwwroot/changelog/v26.8.2.md Normal file
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@ -0,0 +1 @@
# v26.8.2, build 252 (2026-08-xx xx:xx UTC)

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metadata.txt
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@ -1,12 +1,12 @@
26.7.3
2026-07-21 12:45:10 UTC
250
9.0.119 (commit 32cc3bdf5e)
9.0.18 (commit d839c41c85)
26.8.1
2026-08-13 06:01:54 UTC
251
9.0.120 (commit 3f97250e38)
9.0.19 (commit 8381bdb01f)
1.97.1 (commit 8bab26f4f)
8.15.0
2.11.5
1e5f07cb010, release
3c789da4654, release
osx-arm64
148.0.7763.0
0.7.2

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runtime/Cargo.lock generated
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@ -4260,7 +4260,7 @@ checksum = "6877bb514081ee2a7ff5ef9de3281f14a4dd4bceac4c09388074a6b5df8a139a"
[[package]]
name = "mindwork-ai-studio"
version = "26.7.3"
version = "26.8.1"
dependencies = [
"aes 0.9.1",
"apple-native-keyring-store",

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runtime/Cargo.toml
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@ -1,6 +1,6 @@
[package]
name = "mindwork-ai-studio"
version = "26.7.3"
version = "26.8.1"
edition = "2024"
description = "MindWork AI Studio"
authors = ["Thorsten Sommer"]

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runtime/tauri.conf.json
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@ -1,7 +1,7 @@
{
"productName": "MindWork AI Studio",
"mainBinaryName": "MindWork AI Studio",
"version": "26.7.3",
"version": "26.8.1",
"identifier": "com.github.mindwork-ai.ai-studio",
"build": {