{"repo":"Unieggy/Forma","free":true,"listed":false,"github":"https://github.com/Unieggy/Forma","clone":"git clone https://github.com/Unieggy/Forma.git","description":"Local-first reading workspace for technical papers — select an equation, figure, or passage and get grounded, step-by-step walkthroughs (with tensor-shape tracing for ML).","language":"TypeScript","stars":52,"topics":["katex","llm","local-first","machine-learning","nextjs","paper-reader","pdf","react","robotics","typescript"],"license":null,"category":"machine-learning","readme_excerpt":"A reading workspace for technical papers Read a paper, select an equation, figure, or passage, and get a step-by-step walkthrough — term-by-term math, process and architecture flows, and worked examples — grounded in the paper itself. --- What is Forma? Forma is a local-first workspace for reading technical and scientific papers the way you actually study them: not by skimming top to bottom, but by stopping on the hard parts and asking \"what is this step doing, and why?\" It works for math, CS, machine learning, robotics, physics, and beyond — anywhere a paper leans on equations, diagrams, and dense derivations. Load a PDF and Forma reads the whole thing to build a semantic paper map . Click any paragraph, equation, or figure to attach it as context, ask a question, and get an answer that adapts to what you selected. Click the same selected paragraph again to clear it when you are done: - Equation → the whole expression first, then each term, then a worked numeric example. - Process / architecture → a numbered, in-order trace of a method, algorithm, or pipeline: what enters each step, what it does, and what comes out. - Passage → a plain, conversational explanation, with an example only when it helps. For machine-learning papers it goes a step further, tracing real tensor shapes from input to output with per-axis meaning and clean ASCII sketches. Everything stays grounded in the loaded paper, and answers keep paper-grounded claims separate from outside background knowledge. Fe","default_branch":null,"files":null,"tree":[],"storefront":"/r/Unieggy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Unieggy/Forma/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}