Multi-Step Agent Workflows

Is it possible to link multiple Agents together in a single workflow? {{input}} → {{Agent 1}} → {{Agent 1 output}} → {{Agent 2}} → {{Returned output}}

Canvas like feature

Hi! I would love to have a Canvas like feature where for example emails are written or to separate the code from the chat. Thanks!

Authorization for Remote MCP Server

To access my server I need to put in the header a bearer token. I don't see that option. Thanks

Model Fusion mode

I would love to have model fusion mode. Basically what it does: Run multiple models side by side, run an analysis, and fuse into the best result. So, for example: I’m looking for the best AI tool for macOS... with XYZ features. Then it queries a few models (which you select), and as an output you get one combined prompt (that is combined by one model) Check this feature in action on openrouter (fusion) https://openrouter.ai/labs/fusion It works really well, and i’m starting to use it more and more! would be amazing to have it in BoltAI

Add / @ # commands

I would love to have in-line commands and references with autocomplete like GitHub Copilot in VS Code. / = force or strongly suggest a tool/action (ex: /search, /add_memory /code, /summarize) @ = target a tool provider # = reference artifacts, files, etc. A clean autocomplete mechanism really makes this feature useful, but would probably require tagging each option with identifiers (e.g., ‘openai:web_search’, ‘boltai:web_fetch’).

Custom HTTP Header for AI Provider

When using an AI proxy for OpenAI, Google, Claude, or custom AI providers, it is necessary to add specific HTTP request headers, which BoltAI currently does not support. For example, Cloudflare AI Gateway with BYOK/Unified Billing required the cf-aig-authorization HTTP header.

MCP Server Connection fails

1.0.0 (14) It’s a remote SSE server, I got it connected to Claude and Cursor, but the connection fails in Bolt

Running into MCP issues.

I swear this same server works on the Mac Issue occurs both on ios and iPadOS

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.

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.

RAG feature / NotebookLM clone within BoltAI

Hey Daniel, I was thinking about what we should tackle next, and I had a pretty cool idea. You know that Google NotebookLM app, where you can basically upload your PDFs and "talk" to them? We should seriously consider add this as part of BoltAI. Why this is necessary: No More Guesswork: The AI stops "making things up" (hallucinating) because it's tied directly to the user's own truth. The Ultimate Personal Assistant: BoltAI becomes a personal expert, a research assistant, and a project manager all in one. It turns a "cool" AI tool into an "can't-live-without-it" part of their workflow. What do you think? Cheers Max

Skills.md

It will be great if BoltAi could support SKILLS.MD spec: https://agentskills.io/home This allows the user to add in prompts or scripts in a folder, and BoltAI will trigger the respective skills automatically when the model detected certain trigger words.

MCP server configuration

Hi Daniel, I hope you are doing well. While setting up the local MCP servers in BoltAI, I have encountered several issues so far. Primarily, I attempted to set up Obsidian, PyCharm, IntelliJ IDEA, and other MCP servers. I’d say it would significantly improve the user experience if there were a feature like many AI apps have—automatically detecting an MCP server and connecting to it (see ChatGPT with Terminal or PyCharm on macOS). Furthermore, it would be beneficial to have a universal MCP configuration library, where users can try a configuration to get started. If it does not work out, they can start tinkering. Lastly, I’d like to share my experiences setting up said MCP servers. The GUI in BoltAI was not beneficial. I was unable to save the mcp.json file via BoltAI and had to edit it through the terminal while BoltAI was closed. After opening, the MCP server either loaded or did not (depending on whether the configuration was correct). Even if the configuration was correct, I opened the built-in window to add an MCP server, only to attempt to save it (without making any changes), and it would refuse, stating that the configuration was invalid. I got it working in the end; however, I’d say many users would give up on it sooner. If you need any more information, please don't hesitate to let me know. Best, Vašek

interaction with browser windows

Like other tools of the same style (keyring for example), could Boltai in the future be able to interact with the content of a web page present in a web browser? I know you can copy the url and provide it to Boltai, but it's less convenient than being on a page, launching the Boltai shortcut and working with the page content.

extend access to PDF files in projects to subfolders

Please extend access to PDF files in projects to subfolders. This would allow us, for example, to integrate business conditions at the top level and allow access to underlying customer folders.

Plugins

It would be great if you could add a plugin that supports Tavily web search. What would be even better is that you would provide the possibility to add custom plugins

The "Thinking" section is expanded by default (feature request: collapsed by default)

Hiello :) Actually the "Thinking" section automatically expands whenever the model starts thinking. I have to manually collapse it every time, which gets annoying because it covers up the response being generated. Would it be possible to add an option to have the "Thinking" section collapsed by default?

Bolt Hangs

Hello, Any idea why Bolt Ai now constantly hangs when using my Ai workflow shortcut for text and spelling correction?? Cheers Stefan

[Feature Request] Custom API Headers & Body Parameters per Model

## The Problem Anthropic just released Claude Opus 4.6 Fast Mode — a research preview that delivers up to 2.5x faster output token generation. To use it, you need to pass two things that BoltAI currently doesn’t support: 1. A custom HTTP header: anthropic-beta: fast-mode-2026-02-01 1. A custom body parameter: "speed": "fast" The model ID stays the same (`claude-opus-4-6`), so you can’t work around this by just adding a new model. Without these fields, the request goes through as standard Opus 4.6 — no speed boost, and no way to opt in. This isn’t just about Fast Mode. Anthropic (and other providers) increasingly use beta headers and extra body parameters for new features: - anthropic-beta: context-1m-2025-08-07 — 1M token context window - anthropic-beta: prompt-caching-2024-07-31 — prompt caching - speed: "fast" — fast inference mode - inference_geo: "us" — data residency controls Right now, none of these are accessible from BoltAI. ## The Suggestion In the Edit Model screen, add two optional fields: - Custom Headers — a key-value input (or raw text field) for extra HTTP headers. - Custom Body Parameters — a key-value input (or JSON field) for additional parameters injected into the request body. ### Example Configuration For Opus 4.6 Fast Mode: |Field |Value | |-----------------|--------------------------------------| |Model ID |`claude-opus-4-6` | |Custom Header |`anthropic-beta: fast-mode-2026-02-01`| |Custom Body Param|`"speed": "fast"` | For 1M context window: |Field |Value | |-------------|---------------------------------------| |Model ID |`claude-opus-4-6` | |Custom Header|`anthropic-beta: context-1m-2025-08-07`| ## Why It Fits BoltAI BoltAI already gives power users granular control over model parameters like Top-P, Temperature, and Frequency Penalty. Custom headers and body params are the natural next step — they unlock every beta/preview feature from any provider wi

LiteLLM custom provider throwing an error

I am self-hosting a LiteLLM instance to proxy all my AI stuff. I managed to add it as a custom provider and fetch the models by prefixing the API key with ‘Bearer ‘ because the LiteLLM logs showed it was missing that. Now that I added it as a provider and select a model to chat with, I run into this error: In the LiteLLM logs I don’t see any sign of an API call, so it seems to fail somewhere before it hits the endpoint. I’ve tried to add /v1 at the end of it to no effect.

PopClip integration

I use PopClip a lot, and it would be nice to be able to call Bolt AI from PopClip, I'm willing to develop this PopClip extension, but I might need you to provide me with some APIs to call. PopClip supports a number of calls (as shown here), would it be convenient for you to implement something (such as macOS Service or AppleScript, maybe AppleScript would be better, since the Raycast extension seems to only support this type of invocation) for external calls? This would also help me to implement the Raycast extensions.

AI tokens usage monitoring and estimation

It’s important for the user to monitor and track their AI generation costs, and it should be greater if it can estimate cost of the next generation It should have 1. Tokens usage for each generation (input/output and thinking tokens) 2. Current context window usage, such as tokens of current input, total tokens of all previous messages, system-prompt, MCP and Toolings And it would be awesome if it had a dashboard for generation logs.

Streaming Reasoning Output

It seems like reasoning is not viewable until after the response is complete. I would like the ability to view the reasoning as it streams, especially for slower local models.

Feature request: Set default agent for projects

Now we have the agent structure, we should be able to set a default agent for a project. The project would then automatically inherit the system prompt, parameters and so on from the agent. It could also be still possible to add project-level config such as files. At the moment, you have to either manually set the agent each chat within the project, or copy and paste the system message and so on from the agent to the project config.

Show conversation cost like in v1

Remove file size restrictions

The app currently only allows uploading files with sizes <25MB, which is not enough. My pdf files are larger than this limit.

Full Directory Access for Projects

It would be great to see full access to folders instead of adding individual files in a project. Most project structures have sub-folders, and it would be great to be able to add the main folder, instead of individual files. I have not spent much time in BoltAI because of this gap.

Favorite/Star models to pin them to the top of the selection list

I want to be able to "star" or favorite specific AI models in the model selection list (especially for providers like OpenRouter with 100+ models) so that they are pinned or surfaced to the top for quick access. This is similar to the design pattern used in the Cline VS Code extension. It is very annoying to scroll through a huge list to find frequently used models.

Make chats inside projects visible in toolbar

In this new version, the toolbar no longer shows the chats in the projects. I need to click on the project and access the chats from the project’s dashboard. This is very unhandy and a step backwards in usability compared to V1. I hope it can be solved soon.

Error in Bolt v2 App: "Invalid prompt" when continuing a conversation

As a user of the Bolt v2 app, I am getting an error when I try to continue a conversation. The error message is: "Invalid prompt: The messages must be a ModelMessage[]. If you have passed a UIMessage[], you can use convertToModelMessages to convert them." This prevents me from continuing my conversations in the app.