Ollama GUI for agents

Use Ollama models from a desktop agent interface.

MultiAgentOS adds an agent-friendly GUI around local Ollama models: files, screenshots, tools, model routing, reusable prompts, and desktop actions.

Connection modes

Route each task through the right model or tool surface.

MultiAgentOS supports API keys, local servers, CLI pipes, OAuth, terminal templates, and local AI/GGUF workflows.

  1. 1 Choose provider
  2. 2 Store secret
  3. 3 Test model
  4. 4 Enable tools
Full-frame MultiAgentOS settings sidecar showing connection cards inside the complete app shell.
Full-frame screenshot from the current MultiAgentOS app.
Connection tabs screenshot in MultiAgentOS.
Connection tabs Switch between API Key, Local Server, CLI Pipe, OAuth, Terminal, and Local AI routing.
Settings sidecar screenshot in MultiAgentOS.
Settings sidecar Configure provider and local server details without leaving the app frame.
Terminal route screenshot in MultiAgentOS.
Terminal route Use terminal-backed workflows alongside the main prompt and model selector.

Local inference

Keep private prompts on local models when the task can be handled on your machine.

Agent context

Add files, folders, screenshots, voice input, and command surfaces around the model.

Hybrid routing

Use Ollama for private work and switch to API providers when a task needs a stronger hosted model.

Why not just use a basic local model chat UI?

Basic local chat is great for prompts. Agent work needs durable connections, tool loading, file context, computer actions, and routing across models. MultiAgentOS is built to put those pieces in one desktop surface.

Recommended path

  1. Install Ollama and pull a tool-capable model.
  2. Connect the local server in MultiAgentOS.
  3. Add file and screenshot context for the task.
  4. Enable the tools or MCP servers the workflow needs.

Ollama GUI features that matter for agents

An agent-oriented Ollama GUI should do more than send messages to `localhost:11434`. It should help the user decide when to stay local, when to route to a hosted model, and what tools the model is allowed to use.

Connection testing

Confirm the local server, selected model, and route before the task starts so failures do not happen halfway through a workflow.

File and screenshot context

Give the local model the context it needs without pasting huge prompts by hand or copying files into a separate web app.

Tool boundaries

Expose command tools, MCP servers, and sidecars only when the task requires them, then keep the result visible for review.

Ollama agent workflow examples

WorkflowLocal model roleMultiAgentOS role
Private note cleanupSummarize and classify local text.Attach folders, preserve context, and return reviewable output.
Codebase orientationExplain files and propose small edits.Open code sidecar, terminal sidecar, and supervised review controls.
Desktop troubleshootingReason over screenshots and logs.Keep screenshots, commands, and the active prompt route in one frame.