disp8ch creates a workspace that turns chat messages into visual maps. You define tasks, build multi-agent teams, and oversee automated work directly from your computer. You keep your data private because the system runs on your hardware. You choose between local models or cloud services to drive your productivity.
Your computer needs to meet these basic standards to run the software.
If you plan to run local AI models, you need a dedicated graphics card with at least 8 GB of video memory. This allows the software to generate responses faster without relying on the cloud.
You turn ideas into diagrams. You drag and drop nodes to create steps. Each node represents an AI action. You see how data flows from one task to the next. This replaces text-based prompts with a map you can edit and improve.
You group agents to work on complex projects. One agent researches, one writes, and another reviews. You define the goals for each team member. The agents coordinate through the visual workspace. You watch their progress in real time.
You control where your information lives. The software stores your chat history and automation logs on your hard drive. You prevent sensitive data from leaving your machine. You toggle cloud features if you want to use advanced models like GPT-4, but the choice stays with you.
You check the work before it finishes. Every automated action generates a report. You pause, edit, or approve steps. This stops mistakes before they propagate through your workflow.
Open the application after installation. The startup screen shows your workspace. You see a blank canvas for your first workflow.
The workspace updates as the agent works. You view the raw output or the summarized version. You add more nodes to create a chain of tasks. Drag a line from one node to the next to connect the actions.
You connect external services if your computer lacks the power for local models.
Your API keys stay encrypted on your machine. The software uses these keys only to send requests to your chosen provider.
You use local models to run the software offline.
Local models take more time to generate responses than cloud models. They keep your internet traffic low and your privacy high.
Ensure you have the latest drivers for your graphics card. Windows may block unrecognized installers; click More Info and then Run Anyway to proceed.
Check your internet connection if you use cloud models. Verify your API key is correct in the Settings menu. If you see a timeout error, wait a moment and try the action again.
Close background applications that use heavy memory. If you run a local model, check that your graphics card has enough available memory. Switch to a smaller model if the performance remains low.
Download the new installer from the GitHub link. Run the installer over the existing version. The software keeps your workflows and settings intact.
Yes. Everything stays local unless you explicitly choose to use a cloud service. We do not store your workflows on our servers.
Yes. You export your workflow as a JSON file. You send this file to others. They import the file into their own copy of the software.
The AI agents understand many languages. You write your instructions in any language you prefer. The agents respond based on the model training.
Yes. The codebase uses modern web standards. You fork the repository on GitHub and submit a pull request if you want to add functionality.
The software is free to use. You only pay for the cloud models you choose to connect. Local models cost nothing to run.