Show HN: Open-Source DaiDocs now beats Graphify by 218x low tokens, 83% on LME
We have been working on making an Open-Source standard documents for AI LLM's and Agents. Just like an excel file, .dai (Document AI) is a new standard to keep memory local and use with any AI agents and LLM's. This new standard comes with lots of features such as more than 10x tokens savings (tested on LongMemEval-S) when comapred the .dai to raw files and scored 83% with gpt-4-0 and 92% with Fable 5! (This shows how well it remembers a very long conversation), as well as an increased context w
阅读原始来源
来源记录
指标快照
points · 4 votes
2026-11-05 10:01:06.702Z
cumulative since publication
研究分析
项目记录
仓库：Kerneta/daidocs。 来源描述：We have been working on making an Open-Source standard documents for AI LLM's and Agents. Just like an excel file, .dai (Document AI) is a new standard to keep memory local and use with any AI agents and LLM's. This new standard comes with lots of features such as more than 10x tokens savings (tested on LongMemEval-S) when comapred the .dai to raw files and scored 83% with gpt-4-0 and 92% with Fable 5! (This shows how well it remembers a very long conversation), as well as an increased context w
采用记录与比较对象
来源票数: 4 votes (2026年11月5日 UTC; cumulative since publication)；前次同口径记录为 4（2026年11月5日 UTC），两个观测值不等于需求增长。 可供比较的近期同类记录：“google/skills” (GitHub Trending, 2026年11月6日)；“mattpocock/skills” (GitHub Trending, 2026年11月6日)。主题相近仅用于导航，未核验其是否属于同一需求或独立证据。
采用判断
应与它要替代的工具或人工流程比较。现有记录支持发现项目，尚不能确认可靠性、运行成本优势或商业采用。
尚未核验的门槛
尚未核验：许可证权限、硬件要求、安装步骤、维护状态，以及包含失败样例的代表性任务。
下一步试验
选择一个真实任务和现有替代方案，记录 commit、环境、输入、输出、耗时与失败行为；保留结果后再给出采用建议。