Show HN: Swarmit – Long-term planning for AI agents (github.com)

A new tool called Swarmit has been introduced to enhance long-term planning and collaboration among AI coding agents. Unlike traditional methods that use markdown plans and limited memories—resulting in fragile contexts—Swarmit offers a shared, persistent task board accessible through a single command line interface (CLI). This centralized system allows multiple agents to collaborate effectively by breaking projects into epics with tasks and dependencies, ensuring everyone is aware of each other's progress. Agents can claim tasks, leave comments, and track the project's history in real-time. The significance of Swarmit lies in its ability to streamline AI agent workflows, facilitating a more organized and efficient approach to task management. Key features include a live terminal dashboard, an append-only event log for tracking progress, and built-in capabilities for managing complex dependencies among tasks. With Swarmit's JSON output and CLI compatibility, it promotes inter-agent communication and scripting potential. This innovation could lead to a substantial shift in how AI agents work together, emphasizing parallel, coordinated efforts that enhance productivity and reduce the risk of duplicated work or conflicts.