Roadmap
Help Center
Changelog

Help me improve BoltAI

For a bug report, please include the following information:

  • Your OS version.

  • Your BoltAI app version.

  • Are you a Setapp user.

  • The AI provider & model you’re using.

  • Steps to reproduce the issue.

  • The error message

View Thoughts

I love to review the reasoning behind the output for any given post. I really like the way you have the reasoning/thoughts displayed while the model is processing, but upon completion, I see that the “View Thoughts” section is then constricted to a very small popup window. I’d love to be able to expand the “View Thoughts” section and read it in the main window along with the output. Maintaining the same formatting as it has while streaming would be really cool.

david.sheley 23 days ago

Compact conversation?

Lots of more capable agents like coding agents have a compact conversation feature that takes the conversation above it and condenses it down to something that reduces context use. I’ve found that context overflow / poisoning can be a problem in long dialogues. I usually kind of do this manually, have it summarize and then make a new discussion, but a way to compact and then a feature to include the previous N up to and including the most recent compacting would be nice.

Adam Ierymenko about 1 month ago

1

option to Archive a Project

So I'm getting more and more Project folders. When I start a new project, I create a new Project, and let's say I work on it for two weeks with 20+ conversations, files, etc. Now the project is finished, but I don't want to delete it, as I "might" need something from it in the future. A collapsible Archive folder that holds Archived Projects would be great.

David about 2 months ago

Support Gemini 3.1 and 3.5 Flash for Google Vertex AI Provider

Problem Currently, the Google Vertex AI provider in BoltAI is missing recent models, such as the Gemini 3.1 series (including 3.1 Pro Preview) and Gemini 3.5 Flash. Additionally, other non-Gemini models offered through Vertex AI are not supported. Because the AI models evolves rapidly, it is difficult to maintain and update a hardcoded list every time a new model is released. Proposed Solution Add Gemini 3.1 Pro and 3.5 Flash next release for a quick fix. For the long run, add a custom "Model ID" input field within the Google Vertex AI provider settings. This would allow users to manually enter the exact ID of the language model they wish to use. Benefits This approach future-proofs the integration. Instead of waiting for Daniel to release an update with a new model, users can instantly access the latest models (like Gemini 3.1 Pro Preview and 3.5 Flash) or any other supported Vertex AI model simply by entering the corresponding model ID.

Anıl Yuvalı about 2 months ago

1

Cross-Chat References

Allow referencing or including context from previous chats in a new conversation. What I'd like: Ability to attach/link a previous chat (or multiple chats) as context to a new one Ideally searchable chat history so finding the right one is easy attach/link selectable or all history from Projects Why it matters: Work often spans multiple sessions — being able to pull in context from a past conversation without copy-pasting saves time and avoids losing important decisions/outcomes.

David 2 months ago

4

Tabbed Parallel Chats

Add a tab bar to the chat interface (at the top) so multiple conversations can run simultaneously without switching between separate windows. It would show only (active?) chats at the top… something like in the screen shoot.. Each tab runs independently (LLM calls don't block each other) Easy switching between tabs, ideally with keyboard shortcuts (cmd+left/right)

David 2 months ago

Choice of local models for STT

Not having a choice in speech-to-text models for the dictation feature is very limiting. The two pre‑selected models are not great. Silences are always replaced with lots of random words. And the user doesn't have the ability to pick from a whole variety of excellent speech-to-text models now available. Look at something like Mac Whisper and the flows that exist there.

Thinkun 3 months ago

4

Built a Hermes Agent gateway plugin for BoltAI — full markdown + slash commands

Hey, I've been using BoltAI v2 with Hermes Agent (https://github.com/NousResearch/hermes-agent) and hit two annoyances with the official OpenAI-compatible gateway: Markdown gets flattened — headers, tables, code blocks all come through as plain text Hermes slash commands (/help, /status, /new, /model, etc.) aren't intercepted, so they get sent to the LLM instead of running locally and therefore they dont work properly as AI agent cant work with some directly… So I built a small hermes drop-in plugin that fixes both. It's a separate gateway adapter (subclasses the official one, doesn't fork it), runs on its own port, and lives here: https://github.com/Dworf/boltai-hermes-gateway Install: hermes plugins install Dworf/boltai-hermes-gateway --enable Then in BoltAI just follow the official Hermes setup guide (https://help.boltai.com/en/help/articles/9536908-how-to-use-hermes-agent-in-boltai) but point it at port 8643 instead of 8642. Full markdown renders correctly, slash commands work as expected, streaming is preserved. Should also work with any other OpenAI-compatible client that supports markdown + streaming (TypingMind, OpenWebUI, LibreChat, etc.) — untested though (and yeah BoltAI has no competition in this space :) ) Question for the BoltAI team / community: if there's interest, I'm happy to implement a commands discovery endpoint on the plugin side so that — if BoltAI ever wants to add it on the client side — you could get interactive slash command suggestions, autocomplete, and /-menu UX natively. Let me know if that's something worth building toward. Should be easy from the plugin side… Thanks!

David 3 months ago

2

model selection of model capability based on output (text, image, video,...)

I really like the new model selection… and love the favorites. but when working with model collections like (image generation, video generation,…) it would be good to have filter option to only show models that can do image generation or video generation,…. i would be happy to just tag each model if it supports for example image generation… i think you could pull this data as well from openrouter for example…

David 3 months ago