The problem
Most valuable thinking is lost.
AI conversations disappear into chat logs. Decisions get made but not recorded. Prompts and frameworks get reinvented from scratch. Insights are tied to specific tools and sessions that won’t exist in six months.
Raw transcripts are not the answer — they’re too long, too noisy, and not reusable. The texture of a good decision is not in the words exchanged to reach it.
What Ivy is
Ivy is a structured memory system for reasoning. It captures what you were trying to do, what mattered, what you decided, and what can be reused.
The central unit is the snapshot: a structured record of a single unit of thinking. Everything builds from that.
It stores in plain markdown, inside a Git repo, with consistent structure. Your thinking is not locked inside any AI tool. It is private, portable, and composable.
The key unlock
AI increases the volume of thinking but fragments it across tools, interfaces, and sessions. Ivy makes thinking:
- Portable — lives in your repo, not in a vendor’s system
- Composable — snapshots become building blocks
- Reusable — artifacts and concepts are findable and extensible
Design goals
Reuse over storage. Structure over volume. Human-readable first. Tool independence. Private by default.
The most valuable output of thinking is not the answer — it is the structure of how the answer was reached. That structure can be reused.