Building a multi-agent system from scratch: 50 lines of bash and Git (en.andros.dev)

A new approach to building multi-agent systems has emerged, enabling developers to orchestrate autonomous agents using a simple setup combining a TODO.org file, a Bash script, and a Git repository. This method facilitates faster parallel task execution by allowing agents to operate collaboratively while maintaining task dependencies and statuses. With the use of Org Mode, tasks are easily defined and managed, with agents reading the file for tasks and updating their progress through Git for synchronization. This development is significant for the AI/ML community as it leverages existing tools and concepts like Git and task management frameworks, making it simpler for developers to deploy and manage autonomous agents. The technical specifics include a Bash script that governs agent execution limits, incorporates conflict resolution within a Git workflow, and ensures each agent operates in its isolated environment. By establishing a clear structure for task completion and using Git to manage collaboration, this approach streamlines the development of multi-agent systems, pushing forward the possibilities of parallel processing in AI projects.