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 serve
An open plain-text format for AI memory (launched Sep 2026). Your assistant's memory becomes files on your disk that you can open, grep and keep.
Second on the LongMemEval-S leaderboard among memory systems anyone can re-run, 22.40 points above the same model with no memory, reading 10x fewer tokens per question. Every number here ships with its per-question judge verdicts and a sha256 manifest.
Quickstart · The guide · Benchmark · The format · Reproduce it
Launch release V4.4n32, 12 September 2026. What is in it.
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The whole product, in one loop. Install, build, remember, recall: one store, every model, about a tenth of the tokens. The recording uses invented data. &9654; For higher quality, watch the demo live in your browser
A .dai file is three plain-text zones: a YAML header, a fenced JSON block, and the text. No binary, no database, no SDK required to read it.
- Any programming language. The reference engine is Node. A reader in Python, Rust or Go is an afternoon's work, and the spec is normative, written so that two independent implementations agree. - Any model. The store is written once by a cheap observer model and read by whichever model answers. The same store measured with five answering models: 78% to 92%. Change the model, keep the memory. - Any tool. grep, git log, diff, your editor, a shell script. Memory that answers to ordinary tools.
From the project README.
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