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Stores session transcripts and agent state as git objects and shadow branches to preserve history across remotes.
Distinguishing note: Candidates focus on ephemeral or database-backed session storage; this uses Git's own internal object model as the primary store.
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This project is a Git-based AI session tracker and context manager designed to record AI agent interactions, transcripts, and tool usage directly into Git repositories. It functions as a system for capturing and indexing the reasoning behind code changes, linking AI prompts and responses to specific code commits to preserve developer intent. The tool distinguishes itself by using Git as a primary storage layer for session metadata, utilizing shadow branches and checkpoints to track agent state without polluting the main commit log. It includes specialized capabilities for auditing AI contribu
Uses git objects and shadow branches to store session history across remote repositories.