Show HN: LedgerSync – A cross-agent shared-memory protocol for AI coding (github.com)

LedgerSync has been introduced as a groundbreaking shared-memory protocol designed for AI coding agents, addressing a common dilemma when switching between tools like Claude Code and Cursor, where context and decision-making often get lost. This innovative system provides a shared memory where AI agents log their decisions along with reasoning, ensuring seamless transitions between different coding environments. Moreover, LedgerSync allows developers to register foundational documents that encapsulate their product’s vision, values, and target audience, enabling AI agents to align their coding decisions with the product's DNA rather than relying solely on generic best practices. This advancement carries significant implications for the AI/ML community, as it enhances the collaborative capabilities of coding agents while preserving the context and intent behind each decision made. By mandating that AI agents read and reference grounding documents before executing tasks, LedgerSync empowers them to produce code that resonates with the developer's objectives. With the promise of integrating multiple AI tools and maintaining an immutable decision log, LedgerSync not only optimizes the coding process but also drives a deeper confluence of technical accuracy and strategic alignment, positioning itself as a pivotal development in the field of AI-assisted coding.