Paseo: A New Way to Manage Multiple AI Coding Tools on Your Own Computer

An open-source tool called Paseo has launched to solve a practical problem: developers increasingly want to use more than one AI coding assistant, but switching between different tools is cumbersome. Paseo provides a single interface to run multiple AI coding tools — including Claude Code, Copilot, and others — directly on your own machine instead of through cloud-based services.

Paseo's GitHub repository, published June 2, positions the tool as a self-hosted solution. The key difference from typical AI coding assistants is that everything runs locally on your computer. Cloud-based tools like GitHub Copilot send your code to remote servers; Paseo keeps it on your machine and handles the coordination between multiple AI agents behind the scenes.

How It Works Across Devices

Paseo runs a background service on your computer that manages multiple coding assistants. You can access this service from your phone, tablet, desktop, web browser, or command line — all while keeping the same settings and state synchronized across devices.

The background service lets you run multiple AI tools at the same time. Think of it like being able to ask several coding experts the same question simultaneously and compare their answers before you decide which approach to use. This could be useful if different AI models have different strengths — one might be better at writing boilerplate code, another at spotting bugs.

Voice Control and Privacy

Paseo includes voice control, meaning you can speak your coding questions or problems aloud rather than typing them. This can be helpful when you're thinking through a tricky problem or want a quicker way to interact with an assistant while you're coding.

The tool is designed with privacy in mind. The maintainers have explicitly left out tracking, telemetry, and forced login requirements. Your code and conversations stay entirely on your computer — they don't get sent anywhere.

To use Paseo, you need to install and set up at least one of the supported AI tools first (you'll need your own account credentials with the provider). Paseo itself doesn't host AI models; it's an orchestration layer that coordinates between the tools you already have access to.

Why This Matters: A Shift in How Developers Work

The broader context here is worth understanding. Early on, developers focused on single tools like GitHub Copilot or ChatGPT. But as these tools have matured, developers have realized that no single AI model is best at everything. Some are better at certain programming languages, others at documentation, others at code review. The pattern resembles something we saw before: when IDEs (integrated development environments) consolidated separate tools for writing code, compiling, and debugging into one place. Here, the shift is toward coordinating multiple specialized AI models rather than consolidating them.

The multi-agent approach could reduce the risk that developers become too dependent on a single company's tool. It also lets teams pick different models for different jobs without forcing people to jump between entirely separate applications.

What You Need to Run It

Since everything runs on your own computer, you'll need enough computing power and storage to handle multiple AI tools running at the same time. The upside is complete control over your data and processing. The tradeoff is that you're responsible for maintaining the setup and managing subscriptions to different AI providers.

The tool's cross-platform support suggests it uses web technologies for the interface, with a background service handling the connection to your local development tools and files. Because Paseo relies on existing AI tools (Claude, Copilot, etc.) rather than hosting its own AI models, you're essentially paying multiple providers and managing multiple sets of credentials.

For Teams and Companies

For organizations with strict rules about data security, the self-hosted model is appealing — your code never leaves your network. The lack of tracking also helps if your company has policies against sharing data with external services.

In larger organizations, different teams sometimes use different AI tools based on licensing agreements, performance, or security policies. Paseo could let teams use their preferred tools through one interface rather than fragmenting across multiple separate applications.

The tradeoff is complexity. Managing multiple AI subscriptions and keeping different tools up to date takes effort, especially for smaller teams without dedicated IT support. For many, this overhead might outweigh the benefits of having everything in one place.

Looking ahead, the trend this represents is one where AI coding assistance becomes less monolithic. Rather than relying on a single dominant tool, developers are likely to work with a portfolio of models, each optimized for different parts of software development. Paseo is an early attempt to make that reality manageable by providing a unified interface and local orchestration. Whether this approach gains broad adoption will depend on whether the convenience gains outweigh the added complexity of managing multiple tools.