kubernetes-sigs/agent-sandbox
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
A star delta has been computed for 61,707 of 62,640 tracked repositories in this period, and only those can be ranked in it.
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Star counts measured between 00:36 and 02:27 (BKK).
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
🔥 On-Policy Self-Distillation in Diffusion Models
Libra: Efficient Resource Management for Agentic RL Post-Training
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
EVA-Client: A Unified Framework for Deployment, Evaluation, and Data Collection on Real Robots
An easy-to-use, fast toolkit to scale up RL post-training on a single node.
A native Mac App for LLM fine-tuning on Apple Silicon — fully on-device, fully open source.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Python library for Reinforcement Learning.
RL environments + evals for AI agents. Define once, train anything.
Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications
That's all 14 repositories in this period.