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

Add an invisible watermark to images, PDFs and video, then detect it to see which copy was shared. Forensic watermarking API with a free trial. Hello HN!The inspiration for Etchv came directly from friends who raised concerns about the growing ease of unauthorized media copying without attribution. To address this, Etchv embeds an invisible watermark inside images, PDFs, or short videos that survives modifications like screenshots, format changes, and file compression.You can try it on our homepage without signing up. There's also a live demo where a watermarked PDF page gets screenshotted and the watermark ID is still successfully recovered: https://etchv.com/demo/traceInstead of training a model from scratch...

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)...