Campus is a persistent project workspace built for software teams and independent builders who work alongside AI agents every day. Instead of scattering work across chat threads, documentation tools, ticket trackers, and separate AI assistants, Campus brings your repository, terminal, project context, conversations, and AI agent tasks together into one shared workspace.
Introduction
Modern software teams increasingly rely on AI agents to help write code, review pull requests, and manage tasks. But most of that work happens in disconnected tools: a chat window here, a terminal there, a ticket in a separate tracker, and project context that lives nowhere in particular. Campus was built to solve this problem by giving teams and their AI agents a single, persistent home for a project, a shared workspace that remembers where the work left off.
Key Features
Unified workspace: Campus combines your repository, a live terminal, project context, conversation history, and AI agent tasks in one place, so there is no need to jump between separate applications to understand the state of a project.
Persistent context: Rather than starting from a blank slate in every new chat or session, Campus keeps the project's context available so both people and AI agents can pick up exactly where they left off.
Agent-aware task management: Tasks assigned to AI agents live alongside human tasks, making it straightforward to track what the agents are working on and what still needs human review.
Shared visibility for teams: Because everything is organized around the project rather than around a particular tool or person, teammates can see the latest state of the work without hunting through chat history or asking colleagues for updates.
Terminal access built in: Developers can run commands directly inside the workspace, keeping the technical side of the work in the same place as the conversations and context that explain why the work is happening.
Use Cases
Software teams that use AI coding agents and want a single place to track repository activity, agent output, and team discussion without losing context between sessions.
Independent builders and solo developers who juggle multiple AI tools and want their project history, code, and conversations unified instead of spread across several different apps.
Teams onboarding new members or new agents onto a project who need to quickly understand the current state of a codebase and its associated context.
Distributed teams that rely on asynchronous updates and want a durable record of what has happened on a project, rather than ephemeral chat messages that get lost over time.
Benefits
By organizing all of this around the project instead of around a specific chat tool, documentation system, or ticket tracker, Campus reduces the time spent searching for context and lets both people and AI agents continue work with full awareness of what has already happened. Teams spend less time re-explaining background information to new contributors or to agents starting a new task, and more time actually building.
Conclusion
Campus is designed for the emerging reality of software development, where human developers and AI agents work side by side on the same codebase. By keeping the repository, terminal, conversations, tasks, and context together in a persistent, shared workspace, Campus helps teams and independent builders stay organized and keep moving forward without losing the thread of their work.
