Many of us have needs for bigger storage than 50MB, and we all have already paid subscriptions for like Google Drive or Dropbox, and thus for would be nice if this option would be available to choose from instead to be bound to your Cloud. Thansk!

I hope there is a button to allow Multi-agent Debate Mode. This is I think even more useful than parallel agent output. MAD can save so much time analyzing a complicated topic, especially those with many sub-topics (ex: should universal basic income be implemented in the next years?) [MECHANICS] - Two or more AI language models debate a user-provided topic through structured, round-based interaction. - The human user: a) observes all outputs at every stage; b) may intervene between rounds; c) remains the final arbiter of whether consensus has been reached. [FEATURE REQUEST] - Please add a file attachment tool that allows the human user to upload and provide multiple reference files simultaneously to all participating LLMs. - The file attachment tool should support, at minimum: 1. PDF files 2. .txt files 3. Markdown files 4. docx/MS Office/LibreOffice files - The attached files should be available as shared reference material for any/all LLMs during the debate. - The human user should be able to attach files before the debate begins and, ideally, also between rounds when asking follow-up questions or requesting clarification. ** A strong multi-LLM debate protocol should not imitate a loose human panel discussion. It should behave more like a formal academic debate with controlled rounds, visible transcripts, forced engagement. - A multi-agent debate protocol should also offer the option to: - have the MAD protocol decide whether there has been full consensus on the entire list of topics, or - allow a human judge to decides whether true consensus has actually been reached on any or all of the discussion points.

I didn't expect them to restrict me to using only their cloud storage, give me only 50MB, and force me to pay a monthly fee. Is there any way you can sell me 1GB of lifetime storage or free up space for my existing cloud account? I have several cloud services; it seems absurd to have to pay a monthly fee for lifetime storage.

Currently, TypingMind does not support training models directly based on your chat history or previous conversations. Please add this feature. It is very important

Hello TypingMind Team, I would like to request support for adding Atlas Cloud as a full custom provider in TypingMind. At the moment, TypingMind only allows adding individual custom models manually. This works, but it becomes inconvenient when using providers like Atlas Cloud that expose multiple models through an OpenAI-compatible API. I would like to be able to add Atlas Cloud once as a custom provider, using = Base URL: https://api.atlascloud.ai/v1 Then TypingMind should automatically fetch and display all available models from that provider, instead of requiring each model to be added manually one by one. This would be very useful for users who use model aggregators or OpenAI-compatible providers, because models are frequently added, renamed, or updated. Having automatic model discovery would make the setup much faster and easier. Suggested feature: Add a new option called Add Custom Provider Allow users to enter a provider name, API key, and base URL Automatically fetch available models from the provider’s /models endpoint Let users enable or disable the models they want to use Keep the current manual “Add Custom Model” option for advanced cases This would make TypingMind much more flexible for users who rely on external providers such as Atlas Cloud, OpenRouter-style services, or other OpenAI-compatible APIs. Thank you for considering this feature. Best regards, Fabien

At the moment its not possible to have a shared project space with my colleagues to work together. That would be a feature, that would help us a lot.

In short: I experience severe performance issues/lags when chats exceed a certain length, making the app painfully slow or impossible to use at that point. If this problem is shared by others and due to limitations of a PWA-style app, I would strongly recommend moving towards a native desktop (macOS) app. Problem: Unlike a similar post, I do not experience the problem as one of the number of chats rather than of chat length: As soon as a chat’s context exceeds ~20.000-30.000 Tokens and this particular chat is opened, every new action (clicking on this chat, scrolling within the chat, formulating a new question, querying an answer) will cause a ~10-20 second delay/freeze of the app. Unlike that other post, too, this is not accompanied by a huge CPU or memory usage (percentage-wise) of the app. Context: Your support bot attributes this to limitations of both the browser / the PWA using the browser’s local storage (IndexedDB), which I think is convincing. However, because I see no other complaints like this in this forum, I will share some additional context information to rule out other causes: Account: Typing Mind Premium Plan; Web application, locally stored data (no cloud). App: Typing Mind PWA operating on Safari 26.5 System: Mac OS Sequoia on a 3,2 GHz 6-Core Intel Core i7 (outdated, but usually not a problem; see also low CPU and memory usage) Internet: 300Mbit/s Download and 150Mbit/s Upload Closing comment: I really enjoy Typing Mind’s idea, UI, and possibilities. It is simply that bumper that makes the application so hard to use in the long term. I would be delighted to have a smooth performance without constantly splitting up chats (losing their context, too) or switching to the cloud – be it through a native desktop application or another workaround. Thank you!

Currently in TypingMind there are options to send All Messages for context or 1 to 100 messages. Since I use agents as relational and therapeutic purposes from time to time, the 100 message limit is too short for that purpose, but All Messages gets heavy fast and hits capacity too quickly. I'd like a way to set the limiter to 200 or 300 so the rich context is still there but doesn't hit capacity.

Hi TypingMind Team, I would love to use OpenCode's hosted models through TypingMind, but I'm running into a CORS issue. OpenCode's API endpoints do not send Access-Control-Allow-Origin headers, which prevents direct browser connections. I tried enabling the "Use TypingMind Proxy" option, but I received this message: "Sorry, TypingMind Proxy does not support the endpoint 'https://opencode.ai/zen/go/v1/chat/completions' yet." Could you please add the following OpenCode endpoints to the TypingMind Proxy whitelist? OpenCode Zen endpoints: https://opencode.ai/zen/v1/chat/completions https://opencode.ai/zen/v1/responses https://opencode.ai/zen/v1/messages https://opencode.ai/zen/v1/models/gemini-3.1-pro https://opencode.ai/zen/v1/models/gemini-3-flash https://opencode.ai/zen/v1/models OpenCode GO endpoints: https://opencode.ai/zen/go/v1/chat/completions https://opencode.ai/zen/go/v1/messages https://opencode.ai/zen/go/v1/models OpenCode is a very popular open-source AI coding agent (140K+ GitHub stars). Their Zen gateway provides curated proprietary models (GPT, Claude, Gemini, etc.), while GO provides affordable open-source coding models (DeepSeek, Kimi, Qwen, GLM, etc.). Supporting these endpoints would be a great addition for many TypingMind users who want reliable, tested models through OpenCode's gateway. If you need any additional details about their API format, you can find documentation here: https://opencode.ai/docs/zen https://opencode.ai/docs/go Thanks a lot for considering this!

Hi, I think it would be great to have more options with TTS. And if it is possible please add a setting to manually input a OpenAI API endpoints, it would be great for user like me who host TTS models locally using AllTalk TTS and the likes. Thank you!

Please bring support to newer speech models for voice input.

Hi TypingMind Team, I would like to use OfoxAI as a custom model provider in TypingMind, but I am currently running into an endpoint allowlist issue. I was previously able to use OfoxAI through TypingMind with the Claude Messages API type. The endpoint was: https://api.ofox.ai/anthropic/v1/messages It worked correctly before, including long-context Claude conversations and prompt caching. However, it suddenly stopped working. In Chrome DevTools, the request fails before reaching OfoxAI: POST https://www.typingmind.com/api/check-cors Response: 403 Forbidden {"error":"Endpoint not allowed"} OfoxAI receives no failed request logs, so it appears that the request is blocked by TypingMind before it reaches the API provider. I also tried the OpenAI-compatible endpoint, but it appears to be blocked in the same way. Could you please add OfoxAI endpoints to the TypingMind Proxy / endpoint allowlist? OfoxAI Anthropic-compatible endpoints: https://api.ofox.ai/anthropic/v1/messages https://api.ofox.ai/anthropic/v1/models https://api.ofox.ai/anthropic/v1/models/{provider} https://api.ofox.ai/anthropic/v1/models/{provider}/{model_id} https://api.ofox.ai/anthropic/v1/models/count OfoxAI OpenAI-compatible endpoints: https://api.ofox.ai/v1/chat/completions https://api.ofox.ai/v1/responses https://api.ofox.ai/v1/models https://api.ofox.ai/v1/models/{provider} https://api.ofox.ai/v1/models/{provider}/{model_id} https://api.ofox.ai/v1/models/count OfoxAI supports multiple API protocols, including OpenAI-compatible and Anthropic-compatible APIs. For Claude models, the Anthropic-compatible endpoint is especially useful because it supports native Claude features such as prompt caching and long-context workflows. Supporting these endpoints would be very helpful for TypingMind users who want to use Claude models through OfoxAI while keeping TypingMind as their main chat interface. Thanks a lot for considering this.

It would be great to be able to set default plugins and/or MCP’s based on the project.

Hi, I've run into a bit of a workflow friction point. Right now, managing a chat (like adding or updating tags, marking it as a favorite, or moving it to a folder) has to be done from the sidebar's chat list. Most of the time, that works fine. But it becomes surprisingly frustrating when the active chat isn't actually visible in the sidebar. For instance, if the list is filtered by a tag that the current conversation lacks, those quick actions simply vanish from reach. To make a simple change, you are forced to clear the active filters, hunt down the current chat in the main list, and only then apply the tags or folders. It completely breaks the flow. It would be incredibly helpful to have these exact same management actions accessible directly from within the active chat interface itself. Maybe tucked into a top-right menu or header? This would allow us to organize, tag, and favorite conversations on the fly, all without losing the current sidebar context. Thanks for considering this!

Please make sure to add this feature to the model's global settings.

Dear TypingMind team, I would like to suggest integrating the Lemonfox.ai API into TypingMind. It offers access to OpenAI's Whisper model at significantly lower prices. It would be great to be able to use this for voice transcription. Best regards, Sebastian

Please have password protected conversation for shared computers

Right now we have attachment option where we can upload the local saved image, can we have image paste support on Individual input of the model during multi chat conversation. As main input box have image paste support, please bring to other area

I would like TypingMind to support connecting to Ollama Cloud using its official OpenAI-compatible API endpoint (https://ollama.com/v1/). Ollama Cloud offers hosted versions of models like Llama, Gemma, Nemotron, but currently TypingMind’s proxy does not support this endpoint, and browser CORS blocks direct access. Please add proxy and/or native support for Ollama Cloud’s API endpoint, so that users can use Ollama Cloud models within TypingMind just like OpenAI or Mistral. This would enable access to the latest open-source models with easy paid hosting. Thank you!

Love the new update with more model providers. Just one suggestion: for xAI, the Responses API supports these tools: {"tools":[{"type": "web_search"},{"type": "x_search"},{"type": "code_interpreter"}]} I just tested that exact line in the “Custom model parameters” section and the tools work. However, doing this overwrites any activated plugin tools, because it overrides the “tools” field. So, having the model connect to its native tools automatically like other providers would solve this.