{"repo":"zjunlp/smartcomment","free":true,"listed":false,"github":"https://github.com/zjunlp/smartcomment","clone":"git clone https://github.com/zjunlp/smartcomment.git","description":"A lightweight Python tracing toolkit for recording execution graphs from existing systems.","language":"Python","stars":17,"topics":["agentic-ai","agentic-workflow","natural-language-processing","python","tracing","tracing-library","smartcomment"],"license":"MIT","category":"analytics","readme_excerpt":"smartcomment smartcomment is a lightweight Python tracing toolkit for recording execution graphs from existing systems. It lets developers annotate variables, operations, and dependencies without reorganizing the original program. The package is designed for systems that maintain complex state over time, such as multi-agent systems, memory systems, and data workflows. Instead of only recording events or function calls, smartcomment records how variables flow through developer-specified operations, making the resulting trace useful for visualization, program understanding, and failure attribution. Installation Install the core package: Install optional visualization dependencies: For local development from source: Quick Example Documentation The repository includes a set of focused guides under docs/ . Citation If you use smartcomment in your work, please cite: License This project is released under the MIT License.","default_branch":null,"files":null,"tree":[],"storefront":"/r/zjunlp","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zjunlp/smartcomment/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."}