Change tracking for AI-era codebases. AI agents call it to log structured change events (entity + diff + reasoning) before the session ends, then query history with diff, blame, history, changeset, and search. Captures the intent that would otherwise evaporate.
Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.
Architectural memory layer for AI coding.
Automatically extracts decisions, detects
security gaps, and analyzes git history
from your codebase in one command.
Provides persistent memory for AI coding assistants, storing and retrieving architectural decisions, patterns, and solutions across sessions using semantic search, while also offering git integration for commit messages and code expertise mapping.
Federated, privacy-first shared memory for AI coding assistants that lets you capture, review, and share team knowledge via git without a central server.
