Track AI coding history with Memov version-control checkpoints and semantic search.
npx skills add https://github.com/memovai/memov --skill vibegit
Please help me install this Agent Skill. Skill: vibegit Source: https://github.com/memovai/memov/tree/main/skills/vibegit Command: npx skills add https://github.com/memovai/memov --skill vibegit
Track AI coding history by recording prompts, responses, and code diffs alongside your codebase, making decisions auditable and reversible.
Initialize Memov in your project and start recording AI interactions using the included init, track, and snap scripts.
High-intent search queries and answers about installing and using this skill.
You can track AI prompts and code changes by using a version-control layer that records prompts, responses, and file diffs alongside your codebase, making AI-driven decisions auditable and reversible.
Version control for AI coding history works by capturing interactions after each session and storing them as per-session checkpoints, enabling timeline navigation and time-travel through past code states.
Yes, you need the mem command-line interface installed to initialize tracking, as it provides the underlying version-controlled memory layer required to record and manage AI interactions.
The best way to revert AI-generated code changes is to use time-travel and jump commands to navigate to a previous session checkpoint and restore that specific past state.
Yes, you can semantically search past AI prompts and responses across a software project because the tracking system captures and indexes interactions for history search and timeline navigation.
You initialize automatic history capture by running the included init script in your project directory, which sets up the tracking environment to start recording AI interactions and code diffs.
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