TL;DR
An open source desktop Kanban application now supports deploying multiple AI agents simultaneously on individual cards. This development aims to improve automation, decision-making, and collaboration in project management. The project is MIT licensed and available on GitHub.
An open source desktop Kanban application has been launched, enabling users to deploy multiple AI agents in parallel on individual cards, a feature designed to enhance automation and collaboration for both solo users and teams.
The project, called Kanbots, is MIT licensed and available on GitHub. It supports running parallel agents—such as Claude Code or Codex—on each card within a Kanban board, with each agent operating in its own git worktree. Users can drop a folder to generate a board, dispatch agents on multiple cards, and monitor live updates as work progresses.
Key features include autopilot mode, which allows personas to split work and evolve the backlog automatically, and decision prompts that require user input to proceed. The app runs locally on macOS, Linux, and Windows, with no cloud dependencies, ensuring user data remains private. Integration with existing CLI tools like Claude or Codex is supported, and cost analytics are built in to monitor resource expenditure. The app also offers GitHub integration, enabling users to manage issues and draft pull requests directly from the interface.
Why It Matters
This development is significant because it introduces a scalable, open source tool that combines project management with AI-driven automation, potentially transforming how individuals and teams handle complex workflows. By enabling multiple AI agents to operate simultaneously, it reduces manual oversight and accelerates decision-making processes. The local-first approach emphasizes privacy and control, appealing to users wary of cloud-based solutions.
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Background
Recent advancements in AI have led to increased interest in automating project workflows through intelligent agents. Existing tools often rely on cloud services, which pose privacy concerns and limit customization. The release of Kanbots addresses these issues by offering a self-contained, open source solution that integrates AI agents directly into a familiar Kanban format. Previous efforts in AI automation have focused on single-agent systems; this project extends capabilities to multiple agents working in parallel, inspired by the need for more sophisticated and scalable automation.
“Kanbots allows deploying multiple AI agents on each card, with live updates and decision prompts, all running locally.”
— Developer on GitHub
“Our goal was to create a flexible, open source system that supports both solo and collaborative workflows with AI-driven automation.”
— Project lead
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What Remains Unclear
It is not yet clear how well the system scales with very large boards or numerous agents, and user adoption details are still emerging. The extent of community contributions and future feature plans remain to be seen.
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What’s Next
Developers plan to gather user feedback, improve scalability, and expand integrations. Future updates may include more personas, enhanced cost analytics, and broader platform support. The project is open to community contributions via GitHub.
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Key Questions
Can I use Kanbots on my personal machine?
Yes, Kanbots is designed to run locally on macOS, Linux, and Windows, with no cloud account required.
Does it support team collaboration?
Yes, the app supports team workflows, including GitHub issue management and draft pull requests, with cloud features available for teams.
What AI models does it support?
It supports Claude Code and Codex, with the option to bring your own CLI tools for AI agents.
Is this tool suitable for solo users?
Absolutely, it is designed to be fully functional for solo users, with local storage and no cloud dependencies.
How does the autopilot feature work?
Autopilot allows personas to split work, evolve the backlog, and run up to four agents in parallel, stopping on completion or budget caps.
Source: Hacker News
