Datapuddle vs Open-Source DaiDocs now beats Graphify by 218x low tokens, 83% on LME

A native Mac app for querying Parquet, CSV and .duckdb files with SQL. Millions of rows, column profiles in every header, visual query plans. Powered by DuckDB. DuckDB has been my swiss-army knife for a while now. I have a special place in my heart for polished native macOS apps. My somewhat outsized and exaggerated dislike for electron/webkit based has lead me toil away on several native macOS apps on my own...mostly to not much profit :)I wanted to build a nice DuckDB client. Though I usually reach for TablePlus, my favorite multi-db client on Macs, I felt like there wasn't a nice DuckDB oriented experience.One thing that I used DuckDB for on locally on my desktop is dealing with larger datasets. And paging is something that was annoying a...

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. - Kerneta/daidocs 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 window (fitting more than 1m tokens chat in a model which has a max of 1m context window)...