Project Progress
Track project progress, verify goal alignment, and detect codebase drift across AI coding sessions using structured storage.
Project Progress is a high-performance Model Context Protocol server written in Zig that empowers AI coding agents to maintain continuity, monitor project milestones, and avoid goal drift. Operating on an intentionally mechanical model without embedding an internal LLM, it delegates analysis and planning to the agent while reliably managing transactional SQLite storage, git state comparisons, file hashes, and human-readable Markdown progress tracking. With built-in snapshot and session freshness checks, it ensures AI agents can instantly spot unsynchronized codebase edits, resume tasks accurately, and keep documentation consistent across long-running development workflows.