Open-Source DaiDocs now beats Graphify by 218x low tokens, 83% on LME vs Staffcoder, hands-on practice for modern frameworks in a browser IDE

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)...

Staffcoder helps developers build real-world engineering skills through hands-on framework practice and production-style challenges in a professional IDE. Hi HN,I'm Shashank. I have curated 1000s of practical real world software engineering assessments in the past as part of my job. I felt there's a gap where if a person wants to learn to build software they have many options to learn from (learning platforms and free resources) but very few or no options to practice their skills hands on. I built Staffcoder so that developers can learn the skills while solving real world scenarios across various domains in software engineering.On Staffcoder you can select a skill, start from beginner level and move up solving real world challenges. Al...