Invoke Studio is a desktop AI coding IDE with visual planning, design canvas, and intelligent agents. Map features on Boards, draw dependencies, and let AI build them in order. Design pages in Canvas — drag, resize, edit visually — then export as production code. Experiment safely in Sandbox with AI-powered merging. Run parallel agents, create custom subagents and agents. Works with Claude, OpenAI, Google, xAI, and Ollama. Free with your own API keys.
We're excited to announce v0.10.21 with several major features and improvements.
Voice to Text (Preview) Transcribe voice input in the Agent sidebar entirely on-device. Your voice data never leaves your machine, giving you complete privacy and control over your transcriptions.
Automation You can now create scheduled tasks powered by AI agent steps. Set custom schedules, run manually and create automation directly from the agent using the /automation command.
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I like the visualization on dependencies and data flow. This is personally something I plan out before rolling out a feature, and it takes time. Looks interesting and useful.
@syaman Thanks! Planning dependencies and data flow before building saves so much time, especially when AI agents are handling the implementation. That’s exactly why we built Boards so you can visually map it all out and let the agent follow the plan. Give it a try and if you need any feature or improvement, let us know. We’re constantly improving it!
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Visual planning boards for agentic coding is a good call. The hard part isn't getting agents to write code - it's defining what to build clearly enough that they build the right thing. Multi-model support across Claude, OpenAI, Google, xAI, and Ollama is a lot to maintain but the flexibility is real. If you want to catch bugs while launch traffic is up, we built a free community stress-testing tool called VibeFix Playground. Post your URL, people try to break it, reports come in with screenshots.
@onryo_builds Thanks! You are right, the hard part isn't getting agents to write code, it's defining what to build clearly enough. That's exactly why we built Boards so you can visually define the plan before agents start executing. Appreciate the kind words!
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This is exceptional, I was using clickup and the claude code as well as the Xcalidraw to manage my projects, an all in one solution was much needed thanks man!
@nayan_surya98 Thanks so much! That's exactly the problem we wanted to solve — too many tools, too much context switching. Give it a try and let us know how it goes. We're constantly improving based on feedback like yours!
I like the visualization on dependencies and data flow. This is personally something I plan out before rolling out a feature, and it takes time. Looks interesting and useful.
Invoke
@syaman Thanks! Planning dependencies and data flow before building saves so much time, especially when AI agents are handling the implementation. That’s exactly why we built Boards so you can visually map it all out and let the agent follow the plan. Give it a try and if you need any feature or improvement, let us know. We’re constantly improving it!
Visual planning boards for agentic coding is a good call. The hard part isn't getting agents to write code - it's defining what to build clearly enough that they build the right thing. Multi-model support across Claude, OpenAI, Google, xAI, and Ollama is a lot to maintain but the flexibility is real. If you want to catch bugs while launch traffic is up, we built a free community stress-testing tool called VibeFix Playground. Post your URL, people try to break it, reports come in with screenshots.
Invoke
@onryo_builds Thanks! You are right, the hard part isn't getting agents to write code, it's defining what to build clearly enough. That's exactly why we built Boards so you can visually define the plan before agents start executing. Appreciate the kind words!
This is exceptional, I was using clickup and the claude code as well as the Xcalidraw to manage my projects, an all in one solution was much needed thanks man!
Invoke
@nayan_surya98 Thanks so much! That's exactly the problem we wanted to solve — too many tools, too much context switching. Give it a try and let us know how it goes. We're constantly improving based on feedback like yours!