Magnet

Magnet is a cutting-edge AI workspace specifically designed for the new era of agentic coding. It empowers developers and engineering teams to build high-quality software by leveraging and managing teams of AI agents. Functioning as both a sophisticated agent orchestrator and an intelligent context engine, Magnet streamlines the entire development lifecycle. It allows you to run multiple AI agents, such as Claude Code, in parallel, each operating within its own secure, sandboxed environment. This approach dramatically accelerates development, enhances code quality, and allows teams to scale their output significantly. Currently available as a native application for macOS, Magnet integrates seamlessly with your existing tools like Git.

How to use Magnet

Using Magnet involves a straightforward workflow designed to integrate AI into your development process seamlessly:

1. Download and Install: Begin by downloading the Magnet application for your Mac from the official website and installing it.
2. Create an Issue: Use Magnet's integrated issue management system, which is tailored for AI collaboration. Clearly define the task, bug, or feature you want the AI agents to work on.
3. Context Assembly: Once an issue is created, Magnet's intelligent context engine automatically scans your codebase and relevant documentation to assemble all the necessary information for the agents.
4. Deploy AI Agents: Launch one or more Claude Code agents to tackle the issue. You can run them in parallel to explore different solutions or break down a large task into smaller sub-tasks.
5. Monitor Progress: Observe the agents as they work in the background. Each agent operates in an isolated `git worktree` sandbox, ensuring that your main codebase remains untouched and stable.
6. Review and Integrate: Once the agents have completed their tasks, you can review the generated code, suggestions, and solutions. If satisfied, you can then merge the changes into your project.

Core Features of Magnet

• Multi-Agent Orchestration: Run multiple Claude Code agents (with other models planned for the future) in parallel to solve complex problems, conduct research, or generate code simultaneously.
• Parallel Sandboxed Execution: Agents work in isolated `git worktree` sandboxes. This prevents conflicts, allows for safe experimentation, and ensures the stability of your primary development branch.
• Intelligent Context Engine: Magnet automatically gathers and feeds the most relevant context from your codebase and documents to the AI agents, drastically improving the accuracy and quality of their output.
• AI-Centric Issue Management: A modern issue management system built from the ground up for AI-driven development. It simplifies the process of assigning and tracking tasks for AI agents.
• Contextual Documentation: The platform assists in creating and maintaining in-depth documentation that is optimized for AI agents to read and understand, creating a virtuous cycle of improving agent performance.

Use Cases for Magnet

Magnet is versatile and can be applied to various software development scenarios:

• Accelerated Feature Development: Delegate the implementation of new features to a team of AI agents, allowing human developers to focus on high-level architecture, strategy, and code review.
• Automated Bug Fixing: Assign bug reports to agents. They can analyze the codebase to find the root cause, write the fix, and submit it for review.
• Code Refactoring & Modernization: Use agents to perform large-scale code refactoring, update dependencies, or migrate a legacy codebase to modern standards.
• Research and Prototyping: Task agents with exploring new libraries, APIs, or architectural patterns and building functional prototypes to validate ideas quickly.
• Scaling Engineering Output: Augment your team's capacity without increasing headcount. Magnet allows smaller teams to achieve the output of much larger ones.

Advantages of Magnet

Magnet offers a competitive edge for modern software teams:

• Massive Productivity Gains: By parallelizing development work across multiple AI agents, you can shorten development cycles from weeks to days.
• Enhanced Code Quality: With access to the right context, agents can produce code that is not only functional but also clean, efficient, and reliable.
• Cost Efficiency: Automating routine and time-consuming coding tasks reduces the overall engineering hours required, leading to significant cost savings.
• Increased Reliability: The sandboxed environment ensures that all AI-generated code is tested and reviewed in isolation before being integrated, minimizing risks.

Pricing and Plans

Magnet is currently in a public Beta phase and available as a free download for Mac. As a beta product, specific long-term pricing and plans have not been finalized. It is anticipated that Magnet will adopt a freemium or tiered subscription model in the future, with plans tailored for individual developers, small teams, and large enterprises. Users are encouraged to download the app and join the community for the latest updates on features and pricing.