Democratizing Reinforcement Learning for LLMs
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Updated
Feb 14, 2026 - Python
Democratizing Reinforcement Learning for LLMs
RepoMaster: The open-source AI agent that masters GitHub. It turns any code repository into a powerful tool, achieving a new level of autonomous task-solving. An open alternative to Claude-Code.
Repo-level benchmark for real-world Code Agents: from repo understanding → env setup → incremental dev/bug-fixing → task delivery, with cost-aware α metric.
SE-Agent is a self-evolution framework for LLM Code agents. It enables trajectory-level evolution to exchange information across reasoning paths via Revision, Recombination, and Refinement, expanding the search space and escaping local optima. On SWE-bench Verified, it achieves SOTA performance
Async SWE agents seamlessly integrated on your git platform to automate code issues implementation, reviews, and pipeline repairs.
Reducing bottlenecks for Software Engineers while working with background agents on the go
Standardized trajectory recording for Code Agent frameworks with adapter pattern. CLI + MCP ready.
Container-free RL framework for training software engineering agents
AutoCodeRover IDE Plugin (ACR Plugin) brings AutoCodeRover Agent - an autonomous program improvement directly into developer's Integrated Development Environment (IDE). Using this IDE extension, developers can benefit from an agent with autonomous improvement capabilities in common development events inside the IDE.
🛠 Master Claude Code with a complete guide on AI coding assistants, featuring agents, commands, skills, and rules to streamline your workflow.
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