Agents. An expert-grade agent framework that learns from its own runs — Plan-Execute-Summary loops plus structured experiential memory, built for hard software-engineering, math, and ML tasks.
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A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, K…
LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and…
[ICML 2026] LU-KV: a framework that optimizes head-wise KV cache budget allocation by maximizing the long-horizon marginal utility of tokens, as proposed in our paper: "Predicting Future Utility: G…
A high-performance framework for training LLMs, VLMs, diffusion, and embodied models on NVIDIA GPUs and Kunlun XPUs. Supports Pi0.5, GR00T-N1.7, FastWAM, Cosmos3, DreamZero, DeepSeek-V4, GLM-5.3, Kimi-K3 and more.
baidu-baige/LoongForge's past year of commit activity
A fork of Megatron-LM serving as the backend training engine for LoongForge, with in-depth customizations including performance optimization strategies, XPU support, bug fixes, and other functional enhancements.
baidu-baige/Loong-Megatron's past year of commit activity
[ICML 2026] LU-KV: a framework that optimizes head-wise KV cache budget allocation by maximizing the long-horizon marginal utility of tokens, as proposed in our paper: "Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction".
LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.
baidu-baige/LoongFlow's past year of commit activity
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