
Local web UI for the Pi coding agent — browse sessions, switch worktrees, manage models, and chat beside your project files in a browser.
Local web UI for the Pi coding agent — browse sessions, switch worktrees, manage models, and chat beside your project files in a browser.
Pi Web is an open-source local web interface for the Pi coding agent that turns Pi's terminal sessions into a full browser workspace. It reads local Pi session files and surfaces conversation history so developers can pick up prior work by project rather than digging through terminal history or session paths. From the UI, users continue or fork earlier messages to try different directions safely, switch Git worktrees from the sidebar to work across branches, and preview source code, docs, images, audio, and PDFs beside the chat. It also centralizes agent housekeeping — model selection, login/API keys, model tests, and skill switches — into one place. Distributed as an npm package (@agegr/pi-web), it runs on Node 22.19.0+ and opens a browser at http://127.0.0.1:30141.
Pi Web is a local web UI designed for the Pi coding agent, allowing users to browse sessions, switch worktrees, manage models, and chat alongside their project files directly in a browser. This interface enhances collaboration and simplifies project management for developers.
Pi Web serves as an integral part of the Pi coding ecosystem, providing a user-friendly interface for developers. With its local web UI, users can manage their projects in a streamlined manner.
Browser-Based Interface: By utilizing a web browser, Pi Web eliminates the need for additional software installations, making it accessible on various devices. Developers can work from anywhere, increasing productivity.
Session Management: Users can easily browse through different coding sessions. This feature is particularly useful for teams working on multiple projects simultaneously, allowing them to switch contexts without losing progress.
Collaborative Features: The built-in chat function allows team members to communicate in real time. This minimizes the need for external communication platforms, thereby keeping all project-related discussions centralized and accessible.
Pi Web functions by integrating multiple tools to enhance user productivity in managing AI sessions. It allows users to resume projects, experiment safely with different approaches, switch between Git branches, and manage models seamlessly, all within a single web interface, streamlining workflows and improving collaboration.
Pi Web is designed to optimize the experience of users working with AI models and collaborative projects. Here’s a breakdown of its key features:
Session Browser:
Fork and Continue:
Git Worktree Switcher:
File Preview:
Model and Skill Manager:
Model Comparison:
In-Browser Code Review:
Pi Web features a Session Browser for organizing conversations, a Fork and Continue tool for branching projects, a Git Worktree Switcher for managing multiple branches, a File Preview for accessible document viewing, and a Model and Skill Manager for easy configuration of models and API keys.
Pi Web is designed for efficient project management and collaboration in AI development.
Session Browser: This feature reads local Pi session files, allowing users to navigate through previous conversations easily. By organizing these sessions by project, developers can quickly resume discussions and insights, enhancing productivity.
Fork and Continue: Users can select any prior message to either continue the conversation or fork it into a new session. This functionality is incredibly useful for exploring different approaches without losing the context of earlier discussions, making it easier to experiment with various ideas safely.
Git Worktree Switcher: This tool simplifies working with multiple branches in Git. By integrating a sidebar that allows users to switch between Git worktrees, developers can manage parallel developments without the hassle of command-line operations, thus saving time and reducing errors.
File Preview: Pi Web's side-by-side chat and project file browser enables users to preview various file types, including source code, documents, images, audio, and PDFs. This feature streamlines access to relevant materials during conversations, improving overall workflow efficiency.
Model and Skill Manager: Users can configure machine learning models, manage API keys, and run model tests directly from the web interface. This eliminates the need for command-line interface (CLI) flags, making it more user-friendly, especially for those less familiar with code.
Pi Web is designed for developers, data scientists, and project managers who need efficient code management and collaboration tools. It enhances workflow by allowing users to revisit past work, experiment safely, manage parallel projects, compare model outputs, and conduct in-browser code reviews seamlessly.
Pi Web caters to a diverse audience, primarily focusing on those involved in software development and data analysis. Below are its main features explained in detail:
Resume Prior Work:
This feature allows users to quickly revisit discussions and decisions made in past sessions. For instance, if a developer is working on a feature and needs to refer back to a conversation about its design, they can do so effortlessly without scrolling through terminal history.
Safe Experimentation:
Developers can fork a session to implement experimental changes. This means they can test a risky refactor or new feature while keeping the original session intact. For example, a data scientist might want to tweak a model's parameters without risking the stability of the current version.
Parallel Branch Work:
Users can switch between different Git worktrees mid-session, enabling them to handle multiple feature branches from a single workspace. This is especially useful for teams working on several features simultaneously, as they can jump between tasks without losing context.
Model Comparison:
With Pi Web, users can rerun the same task across different configured models to compare their outputs. This functionality is crucial for data scientists who need to determine which model configuration yields the best results, allowing for informed decision-making based on quantitative comparisons.
In-Browser Code Review:
This feature enhances collaboration by allowing users to preview code diffs and project files alongside chat discussions. It saves time by eliminating the need to switch back and forth between applications, making the code review process more efficient.
Pi Web is completely free to use, making it an accessible tool for individuals and businesses looking to manage and analyze their data efficiently. Users can leverage its features without incurring any costs, which enhances its appeal for various applications.
Pi Web is a powerful data management tool that allows users to visualize and analyze their data without any financial commitment. The platform is designed to cater to a wide array of users, from individual freelancers to larger organizations.
By utilizing Pi Web, users can effectively manage their data needs without any financial burden, making it an ideal solution for a variety of applications.
To get started with Pi Web, visit the official GitHub page at https://github.com/agegr/pi-web. There, you can sign up, explore features, and access documentation to guide you through the setup process and usage of the platform.
Pi Web is an innovative platform designed for building web applications using artificial intelligence. To begin your journey with Pi Web, follow these steps:
Access the GitHub Repository: Navigate to the Pi Web GitHub repository. This is the central hub for the project, where you can find all necessary resources.
Sign Up: Once on the GitHub page, check for any sign-up instructions or links. Registering is often the first step to gaining access to beta features or updates.
Explore Features: Pi Web boasts several functionalities, such as AI-driven analytics, user-friendly interfaces, and customizable templates. Take time to explore these features through the repository's README file or demo links.
Review Documentation: Comprehensive documentation is essential for understanding how to implement Pi Web in your projects. Look for sections detailing installation, configuration, and examples of use cases.
Join the Community: Engaging with the Pi Web community can enhance your learning experience. Check forums, chat groups, or related GitHub discussions for support and insights.
Compare Pi Web: vs Aymo AI · vs Speech To Markdown · vs FluentDB · vs ReExplain