daidocs
Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work). MCP server + hooks for Claude Code, Claude Desktop, Cursor, Windsurf, Codex. 83% LongMemEval-S (GPT-4o), 92% (Claude Fable 5), 10x fewer tokens.
Growth we measured
22 daily star snapshots stored by whatstrending.ai, 2026-09-15 to 2026-10-06. GitHub shows today's number; this is the movement behind it.
- Ranked #2366 by stars among the 2,497 repos we snapshot, using the latest star count we recorded for each.
- Its 7-day pace is faster than 8% of the 1,252 repos where we can currently measure one (#1023).
How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 22 snapshots for Kerneta/daidocs between 2026-09-15 and 2026-10-06. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.
Add the Trending AI Repo badge to your README
Kerneta/daidocs is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.
[](https://whatstrending.ai/repos/Kerneta/daidocs)<a href="https://whatstrending.ai/repos/Kerneta/daidocs"><img src="https://whatstrending.ai/badge/repo/Kerneta/daidocs.svg" alt="Trending AI Repo"></a>We never open issues or pull requests to ask maintainers to add this. How the badge works →