Provides practical interactive interfaces for LLM large language models such as GPT/GLM, especially optimizing the paper reading/polishing/writing experience, modular design, supports custom shortcut buttons & function plug-ins, supports Python and C++ and other project analysis & self-translation functions, PDF/LaTex paper translation & summary functions, supports parallel query of multiple LLM models, and supports local models such as chatglm3. Access Tongyi Qianwen, deepseekcoder, iFlytek Spark, Wenxinyiyan, llama2, rwkv, claude2, moss, etc.
Popularity
Repository stars7,22671,601Highest
7-day net stars——
Fork5708,319Highest
30-day trendInsufficient historyInsufficient history
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectReverse Engineering: Decompiling Binary Code with Large Language ModelsProvides practical interactive interfaces for LLM large language models such as GPT/GLM, especially optimizing the paper reading/polishing/writing experience, modular design, supports custom shortcut buttons & function plug-ins, supports Python and C++ and other project analysis & self-translation functions, PDF/LaTex paper translation & summary functions, supports parallel query of multiple LLM models, and supports local models such as chatglm3. Access Tongyi Qianwen, deepseekcoder, iFlytek Spark, Wenxinyiyan, llama2, rwkv, claude2, moss, etc.
Measured at2026-11-03 08:28 UTC2026-11-03 08:24 UTC
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