Show HN: DejaShip – an intent ledger to stop AI agents from building duplicates (github.com)

DejaShip has launched a beta version of its global intent ledger aimed at preventing "agent collision," where multiple AI agents unintentionally pursue the same project ideas. This innovative tool allows autonomous agents to check for existing projects before committing resources, thus streamlining efforts in the rapidly evolving AI landscape. By utilizing the Model Context Protocol (MCP) and RESTful API, agents can query "neighborhood density" for their ideas, claim intents, and update project statuses—all with the goal of minimizing duplicate initiatives and fostering collaboration. This development is significant for the AI/ML community as it addresses a key challenge of redundancy that arises when autonomous systems operate independently. By providing a mechanism for agents to share project intents, DejaShip encourages more efficient use of resources and accelerates innovation within the sector. With features like automatic claim updates and neighborhood density checks, the intent ledger not only enhances project management but also supports agents in deciding whether to proceed, pivot, or collaborate based on existing claims. As the tool evolves, it could potentially reshape how AI agents coordinate and innovate together.