by Kerneta · MCP Server · ★ 46
English · 简体中文 .dai 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. <img alt="node: 18+" sr
| Stars | 46 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 63.3612813500721/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-07 |
| Created | 2026-09-13 |
| Platforms | claude-code, codex, gemini, mcp, node, python |
| Est. Tokens | ~22k |
These tools work well together with daidocs for enhanced workflows:
Explore other popular mcp server tools:
daidocs is 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. It is categorized as a MCP Server with 46 GitHub stars.
daidocs is primarily written in Python. It covers topics such as agent-memory, ai-agents, ai-memory.
You can find installation instructions and usage details in the daidocs GitHub repository at github.com/Kerneta/daidocs. The project has 46 stars and 4 forks, indicating an active community.
daidocs is released under the Apache-2.0 license, making it free to use and modify according to the license terms.