NodeTerm Review: Run Claude Code, Codex & Gemini on an Infinite Canvas
Running one AI coding agent in a terminal is easy. Running Claude Code, Codex, Gemini, local servers, Git operations, and several long-running tasks at the same time is where the workflow can become difficult to manage.
NodeTerm approaches that problem differently. Instead of hiding every terminal and coding agent behind another tab, it turns them into live nodes on an infinite canvas.
You can place agents next to each other, group related tasks, connect their context, open code and Git diffs beside them, and zoom out to see what is happening across the entire project.
For developers moving toward parallel AI-assisted development, NodeTerm looks less like another terminal emulator and more like a visual command center for coding agents.
What Is NodeTerm?
NodeTerm is a node-based development workspace built around real terminal sessions and AI coding-agent CLIs.
Instead of organizing work primarily through terminal tabs, each session becomes an individual node that can be positioned anywhere on a pan-and-zoom canvas.
The workspace can contain several types of nodes, including:
- Regular terminal sessions
- Claude Code
- OpenAI Codex
- Gemini CLI
- OpenCode
- Sticky notes
- Code editors
- Git diff views
- Groups
- Claude chat nodes
The built-in agent nodes still run the real command-line tools behind the scenes. NodeTerm therefore does not replace Claude Code, Codex, Gemini, or OpenCode. It provides a workspace for organizing and supervising those tools.
Why an Infinite Canvas Instead of More Terminal Tabs?
Tabs work well when you have only a few sessions. The problem becomes more obvious when AI agents begin performing independent tasks for several minutes at a time.
You might have one agent implementing authentication, another reviewing an API, another writing tests, a development server running in a normal terminal, and a Git diff waiting for review.
NodeTerm lets you arrange those tasks spatially.
For example, your canvas could have a backend group on the left, frontend work on the right, testing underneath, and project notes between them. You can zoom out to see the overall state of the project or zoom into a specific terminal when intervention is required.
The important difference is that the layout itself becomes part of your development workflow.
Run Claude Code, Codex, Gemini and OpenCode Side by Side
NodeTerm currently provides dedicated agent nodes for Claude Code, Codex, Gemini, and OpenCode.
When you create an agent node, NodeTerm launches its corresponding CLI inside a real terminal. The node can display status information such as RUNNING while an agent is working or NEEDS YOU when it requires input.
This sounds simple, but it becomes valuable once several autonomous tasks are running simultaneously.
Instead of repeatedly switching terminal tabs just to check whether an agent has finished, you can scan the canvas and see which sessions still require attention.
NodeTerm's integrations are not identical across every agent. Core capabilities such as status detection, reboot resume, and Context Links are documented for all four built-in agents, while some deeper functionality such as subagent visualization, conversation branching, and dedicated chat nodes is currently specific to Claude Code.
Context Links Turn Separate Agents Into a Workflow
One of NodeTerm's more interesting features is Context Link.
You can draw a connection between agent nodes and allow one agent to retrieve context from another. According to NodeTerm's documentation, Context Links work across Claude Code, Codex, Gemini, and OpenCode.
The context is pulled when required rather than automatically injecting an entire conversation into another agent.
That creates some useful multi-agent possibilities.
- Claude Code can implement a feature while Codex reviews the approach.
- Gemini can investigate a problem while another agent works on the fix.
- One agent can inspect information produced by another without manually copying long terminal outputs.
- Multiple agents can work on separate areas while remaining connected to relevant project context.
This is where NodeTerm becomes more than a visual terminal. Connections on the canvas can represent actual information relationships between AI coding sessions.
Persistent Sessions Powered by tmux
Long-running AI tasks make session persistence especially important.
NodeTerm runs terminal sessions inside tmux, allowing those sessions to outlive the desktop application. You can close NodeTerm and later reopen it without automatically terminating everything that was running.
NodeTerm also documents restoration behavior after a machine reboot, including terminal scrollback and supported coding-agent sessions.
For an agentic coding workflow, this means you do not necessarily have to treat closing your development workspace as the end of every AI session.
Code Editors and Git Diffs on the Same Canvas
NodeTerm is not limited to terminal windows.
Its canvas can also contain Monaco-based code editor nodes and Git diff views. This allows an agent, the code it modified, and the resulting diff to sit beside each other.
A practical layout could look like this:
- Agent node: implementing the requested feature.
- Editor node: displaying an important modified file.
- Diff node: reviewing changes before committing them.
- Sticky note: keeping requirements visible.
Instead of constantly changing applications or views, related information can remain spatially close to the task that produced it.
A Practical Multi-Agent Workflow With NodeTerm
1. Open Your Project
Start by opening the repository or project folder you want to work with. Each project gets its own canvas.
2. Add Your Primary Coding Agent
Create a Claude Code, Codex, Gemini, or OpenCode node. The associated CLI must already be installed and configured.
3. Separate Independent Tasks
Instead of asking one agent to perform every job sequentially, use separate agents for tasks that can reasonably run in parallel.
For example, one agent might build an API endpoint while another implements the frontend and a third analyzes tests.
4. Organize the Canvas
Group related agents, terminals, notes, and editor nodes together. A clear spatial arrangement makes it easier to understand what each session is responsible for.
5. Connect Relevant Context
Use Context Links when one coding agent needs information from another session.
6. Review the Result
Open important files and Git diffs beside the responsible agent instead of accepting generated code blindly.
The result is closer to supervising a small development team than chatting with a single coding assistant.
Combine AI Coding With Better UI References
Parallel coding agents can generate interfaces quickly, but implementation speed does not automatically produce good product design.
A prompt such as “create a modern SaaS dashboard” gives an agent enormous room to make arbitrary design decisions. Providing concrete references usually creates a much clearer target.
This is where Mobbin can complement an AI coding workflow. Mobbin provides a large collection of real-world interface and product-flow references that you can study before asking an agent to implement a UI.
For example, you could research dashboard navigation, onboarding flows, pricing pages, authentication screens, or mobile interactions in Mobbin, document the relevant requirements in a NodeTerm sticky note, and then give different parts of the implementation to separate coding agents.
This creates a more deliberate workflow:
- Research established UI patterns.
- Define the interaction you actually want.
- Give the requirements to your coding agent.
- Generate the implementation.
- Use another agent or Git diff to review the result.
If AI-generated interfaces frequently feel generic, explore real product design references on Mobbin before writing your next frontend prompt.
NodeTerm Also Extends Beyond the Desktop
NodeTerm's documentation describes additional ways to access sessions beyond its main desktop experience.
Its Server Edition can run the canvas from a headless Linux machine and expose the workspace through a browser. An iOS companion is also designed to let users attach to live sessions from a phone.
That direction makes sense for AI coding agents because their tasks do not always finish while you are sitting in front of your primary computer.
What Are the Limitations?
NodeTerm is promising, but there are several factors to consider before making it the center of your development workflow.
It Is Still Early Access
As of September 2026, NodeTerm is still labeled early access. The current public release is version 0.3.4, released on August 30, 2026. Fast development can bring useful improvements, but early-stage software can also change quickly.
You Still Need the Agent CLIs
NodeTerm does not provide Claude Code, Codex, Gemini, or OpenCode accounts. Their respective CLIs and authentication still need to be installed and configured.
Agent Integrations Differ
Some advanced capabilities currently go deeper with Claude Code than with other supported agents. Check the current capability matrix if a specific integration is essential to your workflow.
Windows Support Is Still Maturing
The main experience is currently available for macOS and Linux, while NodeTerm describes its Windows version as beta. The project notes that the Windows installer is currently unsigned and that some continuity behavior is still being developed.
Who Is NodeTerm Best For?
NodeTerm is most compelling for developers who already have more terminal and AI sessions than they can comfortably track.
It is particularly relevant for:
- Claude Code power users
- Developers experimenting with multiple coding-agent CLIs
- Multi-agent development workflows
- Developers managing long-running terminal processes
- People who prefer spatial organization over tab-heavy interfaces
- Developers who want code, diffs, notes, and agents visible together
If you only run a single coding agent in one terminal, NodeTerm may initially add more workspace than you need.
Its value becomes clearer when several independent agents and processes are running at once.
Final Verdict: A Workspace Built for the Multi-Agent Era
The interesting idea behind NodeTerm is not simply putting terminals into boxes on a canvas.
It treats AI coding sessions as persistent, visible, and connected pieces of a development project.
That model fits the way AI-assisted development is evolving. As coding agents become capable of working independently for longer periods, developers spend more time assigning tasks, monitoring progress, reviewing changes, and coordinating several workflows at once.
Traditional terminal tabs were never designed specifically for that kind of development.
NodeTerm offers an interesting alternative: Claude Code, Codex, Gemini, OpenCode, regular terminals, project notes, editors, and Git diffs can all coexist on one visual workspace.
For developers already experimenting with parallel AI coding, it is worth watching—and potentially trying—while the project continues to mature.
Frequently Asked Questions
Does NodeTerm replace Claude Code or Codex?
No. NodeTerm runs the actual coding-agent CLIs inside terminal nodes. You still need to install and authenticate the corresponding tools.
Which AI coding agents does NodeTerm support?
Its current built-in agent integrations include Claude Code, OpenAI Codex, Gemini, and OpenCode.
Can NodeTerm keep sessions running after I close the app?
Yes. NodeTerm uses tmux-backed terminal sessions, allowing processes to continue after the application itself is closed.
Is NodeTerm available on Windows?
Yes, but Windows is currently described as beta. NodeTerm's main desktop experience remains focused on macOS and Linux.
